Universitätssiegel
Secretary
Bettina Knorr
knorr@uni-heidelberg.de
Phone: +49 (0) 6221 54-5560
Fax: +49 (0) 6221 54-4529
 
Postal Address
Heidelberg University
Prof. Bernhard Höfle
Institute of Geography
Im Neuenheimer Feld 368
69210 Heidelberg
Germany
 

Publications

LiDAR Bilderreihe

    

Peer-reviewed articles are highlighted.

2019

[212] 

Anders, K., Lindenbergh, R.C., Vos, S.E., Mara, H., de Vries, S. & Höfle, B. (2019): High-frequency 3D Geomorphic Observation using Hourly Terrestrial Laser Scanning Data of a Sandy Beach. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W5, pp. 317-324.

[211] 

Antonova, S., Anders, K., Beck, I., Boike, J., Höfle, B. & Marx, S. (2019): Digital Elevation Model from raw CoSSC TanDEM-X data (2015) in the area of Trail Valley Creek, Northwest Territories, Canada. PANGAEA. DOI: https://doi.pangaea.de/10.1594/PANGAEA.902503.

[210] 

Antonova, S., Thiel, C., Höfle, B., Anders, K., Helm, V., Zwieback, S., Marx, S. & Boike, J. (2019): Estimating tree height from TanDEM-X data at the northwestern Canadian treeline. Remote Sensing of Environment. Vol. 231, pp. 111251.

[209] 

Boike, J., Nitzbon, J., Anders, K., Grigoriev, M., Bolshiyanov, D., Langer, M., Lange, S., Bornemann, N., Morgenstern, A., Schreiber, P., Wille, C., Chadburn, S., Gouttevin, I., Burke, E. & Kutzbach, L. (2019): A 16-year record (2002-2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia: an opportunity to validate remote-sensing data and land surface, snow, and permafrost models. Earth System Science Data. Vol. 11 (1), pp. 261-299.

[208] 

Chu, H.-J., Chen, Y.-C., Ali, M.Z. & Höfle, B. (2019): Multi-Parameter Relief Map from High-Resolution DEMs: A Case Study of Mudstone Badland. International Journal of Environmental Research and Public Health. Vol. 16 (7), pp. 1-12.

[207] 

Ghamisi, P., Rasti, B., Yokoya, N., Wang, Q., Höfle, B., Bruzzone, L., Bovolo, F., Chi, M., Anders, K., Gloaguen, R., Atkinson, P.M. & Benediktsson, J.A. (2019): Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art. IEEE Geoscience and Remote Sensing Magazine. Vol. 7 (1), pp. 6-39.

[206] 

Herzog, M., Anders, K., Höfle, B. & Bubenzer, O. (2019): Multi-method investigation of star dunes in Morocoo (Erg Chebbi): topography, stratigraphy and implications for OSL-sampling. In: Geophysical Research Abstracts. Vol. 21(EGU2019-6950), pp. 1-1.

[205] 

Höfle, B. & Klonner, C. (2019): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2018, pp. 351-353.

[204] 

Kumar, A., Anders, K., Winiwarter, L. & Höfle, B. (2019): Feature Relevance Analysis for 3D Point Cloud Classification using Deep Learning. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W5, pp. 373-380.

[203] 

Orti, M.V., Negussie, K., Corral-Pazos-de-Provens, E., Höfle, B. & Bubenzer, O. (2019): Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia). Remote Sensing. Vol. 11 (11), pp. 1-22.

[202] 

Pfeiffer, J., Höfle, B., Hämmerle, M., Zahs, V., Rutzinger, M., Scaioni, M., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Bremer, M., Wujanz, D. & Zieher, T. (2019): Terrestrial laser scanning data of the Äußeres Hochebenkar rock glacier close to Obergurgl, Austria acquired during the Innsbruck Summer School of Alpine Research. PANGAEA. DOI: https://doi.org/10.1594/PANGAEA.902042.

[201] 

Pfeiffer, J., Scaioni, M., Rutzinger, M., Adams, M., Graf, A., Sotier, B., Höfle, B., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Bremer, M., Zieher, T., Hämmerle, M. & Wujanz, D. (2019): Terrestrial and unmanned aerial vehicle images of the Rotmoos valley bottom near Obergurgl, Austria with coordinates of corresponding ground control points acquired during the Innsbruck Summer School of Alpine Research 2015 and 2017. PANGAEA. DOI: https://doi.org/10.1594/PANGAEA.898939.

[200] 

Pfeiffer, J., Wujanz, D., Zieher, T., Rutzinger, M., Scaioni, M., Höfle, B., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Bremer, M. & Hämmerle, M. (2019): Terrestrial laser scanning data of the Nesslrinna landslide close to Obergurgl, Austria acquired during the Innsbruck Summer School of Alpine Research. PANGAEA. DOI: https://doi.org/10.1594/PANGAEA.901293.

[199] 

Ramírez-Núñez, C., Cyphers, A., Parrot, J.-F. & Höfle, B. (2019): Multidirectional Interpolation of LiDAR Data from Southern Veracruz, Mexico: Implications for Early Olmec Subsistence. Ancient Mesoamerica. Vol. 30, pp. 1-14. Cambridge University Press.

[198] 

Zahs, V., Hämmerle, M., Anders, K., Hecht, S., Sailer, R., Rutzinger, M., Williams, J.G. & Höfle, B. (2019): Multi-temporal 3D point cloud-based quantification and analysis of geomorphological activity at an alpine rock glacier using airborne and terrestrial LiDAR. Permafrost and Periglacial Processes. Vol. Early View, pp. 1-17.

2018

[197] 

Anders, K., Antonova, S., Beck, I., Boike, J., Höfle, B., Langer, M., Marsh, P. & Marx, S. (2018): Multisensor ground-based measurements of the permafrost thaw subsidence in the Trail Valley Creek, NWT, Canada, 2015-2016. PANGAEA. DOI: https://doi.org/10.1594/PANGAEA.888566.

[196] 

Anders, K., Antonova, S., Boike, J., Gehrmann, M., Hartmann, J., Helm, V., Höfle, B., Marsh, P., Marx, S. & Sachs, T. (2018): Airborne Laser Scanning (ALS) Point Clouds of Trail Valley Creek, NWT, Canada (2016). PANGAEA. DOI: https://doi.pangaea.de/10.1594/PANGAEA.894884.

[195] 

Boike, J., Ebenhoch, S., Höfle, B., Westermann, S., Maturilli, M., Stern, L., Juszak, I. & Roth, K. (2018): Warming and thawing trends of permafrost at high Arctic site (Bayelva, Spitsbergen) 1998 - 2017. In: Geophysical Research Abstracts. Vol. 20(EGU2018-8225), pp. 1-1.

[194] 

Crommelinck, S., Höfle, B., Koeva, M.N., Yang, M.Y. & Vosselman, G. (2018): Interactive Cadastral Boundary Delineation from UAV Data. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2, pp. 81-88.

[193] 

Drews, T., Miernik, G., Anders, K., Höfle, B., Profe, J., Emmerich, A. & Bechstädt, T. (2018): Validation of fracture data recognition in rock masses by automated plane detection in 3D point clouds. International Journal of Rock Mechanics and Mining Sciences. Vol. 109, pp. 19-31.

[192] 

Hämmerle, M. & Höfle, B. (2018): Introduction to LiDAR in Geoarchaeology from a Technological Perspective. In: Siart, C., Forbriger, M. & Bubenzer, O. Digital Geoarchaeology: New Techniques for Interdisciplinary Human-Environmental Research, pp. 167-182. Springer International Publishing.

[191] 

Hämmerle, M. & Höfle, B. (2018): Mobile low-cost 3D camera maize crop height measurements under field conditions. Precision Agriculture. Vol. 19 (4), pp. 630-647.

[190] 

Herfort, B., Höfle, B. & Klonner, C. (2018): 3D micro-mapping: Towards assessing the quality of crowdsourcing to support 3D point cloud analysis. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 137, pp. 73 -83.

[189] 

Höfle, B., Klonner, C., Marx, S. & Usón, T. (2018): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2017, pp. 306-308.

[188] 

Klonner, C., Usón, T., Marx, S., Mocnik, F.-B. & Höfle, B. (2018): Capturing Flood Risk Perception via Sketch Maps. ISPRS International Journal of Geo-Information. Vol. 7 (9), pp. 1-19.

[187] 

Koma, Z., Höfle, B., Koenig, K., Lukač, N., Hämmerle, M., Kovacs, J. & Folly-Ritvay, Z. (2018): Virtual Laser Scanning for the Analysis of Platform-Related Effects in Urban Tree Species Classification. In: PFGK18: Photogrammetrie - Fernerkundung - Geoinformatik - Kartographie - 2018. Munich, Germany, pp. 1-1.

[186] 

Raun, K.H.M., Pfeiffer, M. & Höfle, B. (2018): Visual Detection and Interpretation of Cultural Remnants on the Königstuhl Hillside in Heidelberg Using Airborne and Terrestrial LiDAR Data. In: Siart, C., Forbriger, M. & Bubenzer, O. Digital Geoarchaeology: New Techniques for Interdisciplinary Human-Environmental Research, pp. 201-212. Springer International Publishing.

[185] 

Ritter, S.M., Isenbeck-Schröter, M., Schröder-Ritzrau, A., Scholz, C., Rheinberger, S., Höfle, B. & Frank, N. (2018): Trace element partitioning in fluvial tufa reveals variable portions of biologically influenced calcite precipitation. Geochimica et Cosmochimica Acta. Vol. 225, pp. 176 -191.

[184] 

Roelens, J., Höfle, B., Dondeyne, S., Orshoven, J.V. & Diels, J. (2018): Drainage ditch extraction from airborne LiDAR point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 146, pp. 409-420.

[183] 

Rutzinger, M., Bremer, M., Höfle, B., Hämmerle, M., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Scaioni, M., Wujanz, D. & Zieher, T. (2018): Training in Innovative Technologies for Close-Range Sensing in Alpine Terrain. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2, pp. 239-246.

[182] 

Scaioni, M., Höfle, B., Baungarten Kersting, A.P., Barazzetti, L., Previtali, M. & Wujanz, D. (2018): Methods from Information Extraction from LiDAR Intensity Data and Multispectral LiDAR Technology. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XLII-3, pp. 1503-1510.

2017

[181] 

Bechtold, S., Hämmerle, M. & Höfle, B. (2017): The Heidelberg LiDAR Operations Simulator HELIOS as a Supporting Tool for Capturing and Preserving Cultural Heritage. In: 37. Wissenschaftlich-Technische Jahrestagung der DGPF. Würzburg, Germany, pp. 1-2.

[180] 

Chu, H.-J., Huang, M.-L., Tain, Y.-C., Yang, M.-S. & Höfle, B. (2017): Historic Low Wall Detection via Topographic Parameter Images Derived from Fine-Resolution DEM. ISPRS International Journal of Geo-Information. Vol. 6 (11), pp. 1-13.

[179] 

Ghamisi, P. & Höfle, B. (2017): LiDAR Data Classification Using Extinction Profiles and a Composite Kernel Support Vector Machine. IEEE Geoscience and Remote Sensing Letters. Vol. 14 (5), pp. 659-663.

[178] 

Ghamisi, P., Zhu, X. & Höfle, B. (2017): Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Vol. 10 (6), pp. 3011-3024.

[177] 

Griesbaum, L., Marx, S. & Höfle, B. (2017): Direct local building inundation depth determination in 3D point clouds generated from user-generated flood images. Natural Hazards and Earth System Sciences. Vol. 17 (7), pp. 1191-1201.

[176] 

Hämmerle, M., Lukač, N., Chen, K.-C., Koma, Z., Wang, C.-K., Anders, K. & Höfle, B. (2017): Simulating Various Terrestrial and UAV LiDAR Scanning Configurations for Understory Forest Structure Modelling. In: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. IV-2/W4, pp. 59-65.

[175] 

Höfle, B. (2017): Messen und Verstehen der Welt durch die Geoinformatik am Beispiel von Naturgefahren. In: Schweiker, M., Hass, J., Novokhatko, A. & Halbleib, R. Messen und Verstehen in der Wissenschaft: Interdisziplinäre Ansätze, pp. 207-223. Springer Fachmedien Wiesbaden.

[174] 

Höfle, B., Herfort, B., Kaibel, M., Eberlein, S. & Hillen, F. (2017): Citizen Science in Schulen: Entwicklung von 3D-MicroMapping zur Klassifikation von 3D-Punktwolken. In: 37. Wissenschaftlich-Technische Jahrestagung der DGPF. Würzburg, Germany, pp. 1-1.

[173] 

Höfle, B., Klonner, C., Marx, S. & Usón, T. (2017): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2016, pp. 237-240.

[172] 

Klonner, C., Eckle, M., Usón, T. & Höfle, B. (2017): Quality Improvement of Remotely Volunteered Geographic Information via Country-Specific Mapping Instructions. In: Proceedings of ISCRAM 2017 - 14th International Conference on Information Systems for Crisis Response And Management. Albi, France, pp. 939-947.

[171] 

Klopfer, F., Hämmerle, M. & Höfle, B. (2017): Assessing the Potential of a Low-Cost 3-D Sensor in Shallow-Water Bathymetry. IEEE Geoscience and Remote Sensing Letters. Vol. 14 (8), pp. 1388-1392.

[170] 

Lin, T.-P., Lin, F.-Y., Wu, P.-R., Hämmerle, M., Höfle, B., Bechtold, S., Hwang, R.-L. & Chen, Y.-C. (2017): Multiscale Analysis and Reduction Measures of Urban Carbon Dioxide Budget Based on Building Energy Consumption. Energy and Buildings. Vol. 153, pp. 356-367.

[169] 

Marx, S., Anders, K., Antonova, S., Beck, I., Boike, J., Marsh, P., Langer, M. & Höfle, B. (2017): Terrestrial Laser Scanning for Quantifying Small-Scale Vertical Movements of the Ground Surface in Artic Permafrost Regions. Earth Surface Dynamics Discussions. Vol. 2017, pp. 1-31.

[168] 

Profe, J. & Höfle, B. (2017): Detectability and geomorphometry of tufa barrages in a small forested karstic river using airborne LiDAR topo-bathymetry. In: Geophysical Research Abstracts. Vol. 19(EGU2017-9130), pp. 1-1.

[167] 

Usón, T., Klonner, C., Marx, S., Hölscher, M. & Höfle, B. (2017): OSM Critical Infrastructure in Chile: Analysing the Relation Between OSM Data Completeness and Territorial Vulnerability. In: 37. Wissenschaftlich-Technische Jahrestagung der DGPF. Würzburg, Germany, pp. 1-1.

2016

[166] 

Anders, K., Hämmerle, M., Miernik, G., Drews, T., Escalona, A., Townsend, C. & Höfle, B. (2016): 3D Geological Outcrop Characterization: Automatic Detection of 3D Planes (Azimuth and Dip) Using LiDAR Point Clouds. In: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. III-5, pp. 105-112.

[165] 

Bechtold, S., Hämmerle, M. & Höfle, B. (2016): Simulated Full-Waveform Laser Scanning of Outcrops for Development of Point Cloud Analysis Algorithms and Survey Planning: An Application of the HELIOS Lidar Simulation Framework. In: Proceedings of 2nd Virtual Geoscience Conference. Bergen, Norway, pp. 57-58.

[164] 

Bechtold, S. & Höfle, B. (2016): HELIOS: A Multi-Purpose LiDAR Simulation Framework for Research, Planning and Training of Laser Scanning Operations with Airborne, Ground-Based Mobile and Stationary Platforms. In: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. III-3, pp. 161-168.

[163] 

Beck, I., Marx, S., Boike, J. & Höfle, B. (2016): PermaSAR – Improving TanDEM-X D-InSAR techniques for the detection of small-scale vertical movements in arctic permafrost regions. In: XI. International Conference on Permafrost (ICOP). Potsdam, Germany, pp. 862-862.

[162] 

Crommelinck, S. & Höfle, B. (2016): Simulating an Autonomously Operating Low-Cost Static Terrestrial LiDAR for Multitemporal Maize Crop Height Measurements. Remote Sensing. Vol. 8 (3), pp. 1-17.

[161] 

Eitel, J.U.H., Höfle, B., Vierling, L.A., Abellán, A., Asner, G.P., Deems, J.S., Glennie, C.L., Joerg, P.C., LeWinter, A.L., Magney, T.S., Mandlburger, G., Morton, D.C., Müller, J. & Vierling, K.T. (2016): Beyond 3-D: The New Spectrum of LiDAR Applications for Earth and Ecological Sciences. Remote Sensing of Environment. Vol. 186, pp. 372-392.

[160] 

Hämmerle, M. & Höfle, B. (2016): Direct Derivation of Maize Plant and Crop Height from Low-Cost Time-of-Flight Camera Measurements. Plant Methods. Vol. 12 (1), pp. 50.

[159] 

Hämmerle, M., Schütt, F. & Höfle, B. (2016): Terrestrial and Unmanned Aerial System Imagery for Deriving Photogrammetric Three-Dimensional Point Clouds and Volume Models of Mass Wasting Sites. Journal of Applied Remote Sensing. Vol. 10 (2), pp. 026029.

[158] 

Hillen, F., Gerdes, M., Herfort, B. & Höfle, B. (2016): 3D-MicroMapping: Crowdsourcing zur Klassifikation von 3D-Geodaten. AGIT - Journal für Angewandte Geoinformatik. Vol. 2, pp. 156-161.

[157] 

Höfle, B., Canli, E., Schmitz, E., Crommelinck, S., Hoffmeister, D. & Glade, T. (2016): 4D Near Real-Time Environmental Monitoring Using Highly Temporal LiDAR. In: Geophysical Research Abstracts. Vol. 18(EGU2016-11295-2), pp. 1-1.

[156] 

Höfle, B., Klonner, C., Marx, S. & Usón, T. (2016): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2015, pp. 271-274.

[155] 

Höfle, B. & Marx (2016): Partizipative 3D-Datenerfassung mit Smartphones in der Landwirtschaft - Ein Vergleich mit Terrestrischem Laserscanning. In: 36. Wissenschaftlich-Technische Jahrestagung der DGPF. Bern, Switzerland, pp. 1-1.

[154] 

Klonner, C., Marx, S., Usón, T. & Höfle, B. (2016): Risk Awareness Maps of Urban Flooding via OSM Field Papers- Case Study Santiago de Chile. In: Proceedings of the ISCRAM 2016 Conference. Rio de Janeiro, Brazil, pp. 1-14.

[153] 

Klonner, C., Marx, S., Usón, T., Porto de Albuquerque, J. & Höfle, B. (2016): Volunteered Geographic Information in Natural Hazard Analysis: A Systematic Literature Review of Current Approaches with a Focus on Preparedness and Mitigation. ISPRS International Journal of Geo-Information. Vol. 5 (7), pp. 103.

[151] 

Koma, Z., Koenig, K. & Höfle, B. (2016): Urban Tree Classification Using Full-Waveform Airborne Laser Scanning. In: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. III-3, pp. 185-192.

[150] 

Koma, Z., Székely, B., Folly-Ritvay, Z., Skobrák, F., Koenig, K. & Höfle, B. (2016): Automated identification and geometrical features extraction of individual trees from Mobile Laser Scanning data in Budapest. In: Geophysical Research Abstracts. Vol. 18(EGU2016-10237-1), pp. 1-1.

[149] 

Malinowski, R., Höfle, B., Koenig, K., Groom, G., Schwanghart, W. & Heckrath, G. (2016): Local-scale flood mapping on vegetated floodplains from radiometrically calibrated airborne LiDAR data. ISPRS\ Journal of Photogrammetry and Remote Sensing. Vol. 119, pp. 267-279.

[148] 

Marx, S., Hämmerle, M., Klonner, C. & Höfle, B. (2016): 3D Participatory Sensing with Low-Cost Mobile Devices for Crop Height Assessment – A Comparison with Terrestrial Laser Scanning Data. PLoS ONE. Vol. 11 (4), pp. 1-22.

[147] 

Pattee, A., Höfle, B. & Seitz, C. (2016): Integrative 3D Recording Methods of Historic Architecture - Burg Hohenecken from Southwest Germany. In: Digital Humanities 2016. Kraków, Poland, pp. 1-2.

[146] 

Profe, J., Höfle, B., Hämmerle, M., Steinbacher, F., Yang, M.-S., Schröder-Ritzrau, A. & Frank, N. (2016): Characterizing Tufa Barrages in Relation to Channel Bed Morphology in a Small Karstic River by Airborne LiDAR Topo-Bathymetry. Proceedings of the Geologists' Association. Vol. 127 (6), pp. 664-675.

[145] 

Rutzinger, M., Höfle, B., Lindenbergh, R., Oude Elberink, S., Pirotti, F., Sailer, R., Scaioni, M., Stötter, J. & Wujanz, D. (2016): Close-Range Sensing Techniques in Alpine Terrain. In: ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. III-6, pp. 15-22.

[144] 

Usón, T., Klonner, C. & Höfle, B. (2016): Using Participatory Geographic Approaches for Urban Flood Risk in Santiago de Chile: Insights from a Governance Analysis. Environmental Science & Policy. Vol. 66, pp. 62-72.

2015

[143] 

Canli, E., Höfle, B., Hämmerle, M., Thiebes, B. & Glade, T. (2015): Permanent 3D laser scanning system for an active landslide in Gresten (Austria). In: Geophysical Research Abstracts. Vol. 17(EGU2015-2885-2), pp. 1-1.

[142] 

Canli, E., Thiebes, B., Höfle, B. & Glade, T. (2015): Permanent 3D Laser Scanning System for Alpine Hillslope Instabilities. In: 6th International Conference on Debris-Flow Hazards Mitigation (DFHM): Mechanics, Prediction and Assessment. Tsukuba, Japan, pp. 1-1.

[141] 

Gündra, H., Barron, C., Henrichs, T., Jäger, S., Höfle, B., Marx, S., Peters, R., Reimer, A. & Zipf, A. (2015): Standortkataster für Lärmschutzanlagen mit Ertragsprognose für potenzielle Photovoltaik-Anwendungen. Berichte der Bundesanstalt für Straßenwesen (BASt), Heft V 252, pp. 1-48. ISBN: 978-3-95606-150-9.

[140] 

Hämmerle, M., Schütt, F. & Höfle, B. (2015): Terrestrial and UAS-borne Imagery for Quarry Monitoring with Low-Cost Structure from Motion. In: 35. Wissenschaftlich-Technische Jahrestagung der DGPF. Cologne, Germany, pp. 1-2.

[139] 

Hillen, F., Ehlers, M., Meynberg, O., Höfle, B. & Reinartz, P. (2015): Fusing Real-Time Geo-Information for a Raster-based Least Cost Navigation in an SDI. In: 9th Symposium of the International Society for Digital Earth (ISDE). Halifax, Canada, pp. 1-1.

[138] 

Hillen, F. & Höfle, B. (2015): Geo-reCAPTCHA: Crowdsourcing large amounts of geographic information from earth observation data. International Journal of Applied Earth Observation and Geoinformation. Vol. 40, pp. 29-38.

[137] 

Hillen, F., Meynberg, O. & Höfle, B. (2015): Routing in Dense Human Crowds Using Smartphone Movement Data and Optical Aerial Imagery. ISPRS International Journal of Geo-Information. Vol. 4 (2), pp. 974-988.

[136] 

Höfle, B., Forbriger, M., Klonner, C., Marx, S. & Usón, T. (2015): Neogeographie einer Digitalen Erde: Geo-Informatik als methodische Brücke in der interdisziplinären Naturgefahrenanalyse (NEOHAZ). In: Heidelberger Akademie der Wissenschaften: Jahrbuch 2014, pp. 259-264.

[135] 

Höfle, B., Koenig, K., Griesbaum, L., Kiefer, A., Hämmerle, M., Eitel, J. & Koma, Z. (2015): LiDAR Vegetation Investigation and Signature Analysis System (LVISA). In: Geophysical Research Abstracts. Vol. 17(EGU2015-1537-1), pp. 1-1.

[134] 

Klonner, C., Barron, C., Neis, P. & Höfle, B. (2015): Updating digital elevation models via change detection and fusion of human and remote sensor data in urban environments. International Journal of Digital Earth. Vol. 8 (2), pp. 153-171.

[133] 

Koenig, K., Höfle, B., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2015): Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture. ISPRS\ Journal of Photogrammetry and Remote Sensing. Vol. 104 (0), pp. 112-125.

[132] 

Pattee, A., Höfle, B. & Seitz, C. (2015): Integrative 3D recording methods of historic architecture Burg Hohenecken castle from southwest Germany. In: IEEE Digital Heritage 2015. Vol. 1, pp. 95-98.

[131] 

Phalkey, R.K., Aranda-Jan, C., Marx, S., Höfle, B. & Sauerborn, R. (2015): Systematic review of current efforts to quantify the impacts of climate change on undernutrition. Proceedings of the National Academy of Sciences. Vol. 112 (33), pp. E4522-E4529.

[130] 

Tomljenovic, I., Höfle, B., Tiede, D. & Blaschke, T. (2015): Building Extraction from Airborne Laser Scanning Data: An Analysis of the State of the Art. Remote Sensing. Vol. 7 (4), pp. 3826-3862.

2014

[129] 

Belgiu, M., Tomljenovic, I., Lampoltshammer, T.J., Blaschke, T. & Höfle, B. (2014): Ontology-Based Classification of Building Types Detected from Airborne Laser Scanning Data. Remote Sensing. Vol. 6 (2), pp. 1347-1366.

[128] 

Dorn, H., Vetter, M. & Höfle, B. (2014): GIS-Based Roughness Derivation for Flood Simulations: A Comparison of Orthophotos, LiDAR and Crowdsourced Geodata. Remote Sensing. Vol. 6 (2), pp. 1739-1759.

[127] 

Hämmerle, M. & Höfle, B. (2014): Effects of Reduced Terrestrial LiDAR Point Density on High-Resolution Grain Crop Surface Models in Precision Agriculture. Sensors. Vol. 14 (12), pp. 24212-24230.

[126] 

Hämmerle, M., Höfle, B., Fuchs, J., Schröder-Ritzrau, A., Vollweiler, N. & Frank, N. (2014): Comparison of Kinect and Terrestrial LiDAR Capturing Natural Karst Cave 3D Objects. IEEE Geoscience and Remote Sensing Letters. Vol. 11 (11), pp. 1896-1900.

[125] 

Hillen, F., Ehlers, M., Höfle, B. & Reinartz, P. (2014): . In: Proceedings of 34th EARSeL Symposium. Warsaw, Poland, pp. 127-127.

[124] 

Hillen, F. & Höfle, B. (2014): Fast-Echtzeit vs. Echtzeit - die Auswirkungen von Echtzeit-Datenintegration am Beispiel einer agentenbasierten Modellierung im GIS. In: Strobl, J., Blaschke, T., Griesebner, G. & Zagel, B. Angewandte Geoinformatik 2014, pp. 658-663. Wichmann.

[123] 

Hillen, F., Höfle, B., Ehlers, M. & Reinartz, P. (2014): Information Fusion Infrastructure for Remote Sensing and In-Situ Sensor Data to Model People Dynamics. International Journal of Image and Data Fusion. Vol. 5 (1), pp. 54-69.

[122] 

Hillen, F., Höfle, B., Ehlers, M. & Reinartz, P. (2014): The Potential of Agent-Based Modelling for Verification of People Trajectories Based on Smartphone Sensor Data. In: IOP Conference Series: Earth and Environmental Science. Vol. 18(1), pp. 1-6.

[121] 

Hillen, F., Höfle, B. & de Lange, N. (2014): Real-time geodata integration using the example of agent-based modelling. In: Proceedings of the GEO Business 2014. London, UK, pp. 1-1.

[120] 

Höfle, B. (2014): Radiometric Correction of Terrestrial LiDAR Point Cloud Data for Individual Maize Plant Detection. IEEE Geoscience and Remote Sensing Letters. Vol. 11 (1), pp. 94-98.

[119] 

Klonner, C. & Höfle, B. (2014): Fusion von 3D-Fernerkundungsdaten und nutzergenerierter Geoinformation aus dem Web für die Aktualisierung von 3D-Höhenmodellen in Stadtgebieten. In: Gerhard, U., Meier, G., Nüsser, M. & Schmidt, S. Heidelberger Geographische Gesellschaft (HGG) Journal, Vol. 28, pp. 45-48.

[118] 

Malinowski, R., Höfle, B., Koenig, K., Groom, G. & Schwanghart, W. (2014): Mapping of local-scale flooding on vegetated floodplains from radiometrically calibrated airborne laser scanning data. In: Geophysical Research Abstracts. Vol. 16(EGU2014-11204), pp. 1-1.

[117] 

Marx, S., Phalkey, R., Aranda, C., Profe, J., Sauerborn, R. & Höfle, B. (2014): Geographic information analysis and web-based geoportals to explore malnutrition in Sub-Saharan Africa: a systematic review of approaches. BMC Public Health. Vol. 14 (1), pp. 1189.

[116] 

Nesbitt, R., Gabrysch, S., Laub, A., Soremekun, S., Manu, A., Kirkwood, B., Amenga-Etego, S., Wiru, K., Höfle, B. & Grundy, C. (2014): Methods to measure potential spatial access to delivery care in low- and middle-income countries: a case study in rural Ghana. International Journal of Health Geographics. Vol. 13 (1), pp. 1-13.

[115] 

Regvat, R., Hämmerle, M., Marx, S., Koenig, K. & Höfle, B. (2014): 3D-punktbasierte Solarpotenzialanalyse für Gebäudefassaden mit freien Geodaten. In: Strobl, J., Blaschke, T., Griesebner, G. & Zagel, B. Angewandte Geoinformatik 2014, pp. 196-204. Wichmann.

[114] 

Tomljenovic, I., Blaschke, T., Höfle, B. & Tiede, D. (2014): Potential and Idiosyncrasy of Object-Based Image Analysis for Airborne LiDAR-Based Building Detection. South-Eastern European Journal of Earth Observation and Geomatics. Vol. 3 (2S), pp. 517-520.

2013

[113] 

Bergmann, M. & Höfle, B. (2013): GIS-gestützte Standortplanung von Windenergieanlagen mit freien und amtlichen Geodaten. In: Strobl, J., Blaschke, T., Griesebner, G. & Zagel, B. Angewandte Geoinformatik 2013, pp. 480-489. Wichmann.

[112] 

Dorn, H., Vetter, M. & Höfle, B. (2013): GIS-basierte Rauigkeitsableitung für Hochwassersimulationen: Eine Sensitivitätsanalyse mit Orthophotos, Laserscanning und freien Geodaten. In: Arbeitskreis-Treffen des AK Fernerkundung der Deutschen Gesellschaft für Geographie (DGfG). Tübingen, Germany, pp. 1-2.

[111] 

Hämmerle, M., Forbriger, M. & Höfle, B. (2013): Multitemporal 3D data capturing and GIS analysis of fluvial processes and geomorphological changes with terrestrial laser scanning. In: Geophysical Research Abstracts. Vol. 15(EGU2013-1748), pp. 1-1.

[110] 

Hämmerle, M., Forbriger, M. & Höfle, B. (2013): Multitemporale 3D-Erfassung und GIS-Analyse fluvial-geomorphologischer Prozesse mit terrestrischem Laserscanning. In: Proceedings of the Geoinformatik 2013. Heidelberg, Germany, pp. 1-8.

[109] 

Helbich, M. & Höfle, B. (2013): Verbesserung der Vorhersagegenauigkeit von urbanen hedonischen Immobilienpreismodellen durch Laserscanning. In: Gerhard, U., Meier, G., Nüsser, M. & Schmidt, S. Heidelberger Geographische Gesellschaft (HGG) Journal, Vol. 27, pp. 17-19.

[108] 

Helbich, M., Jochem, A., Mücke, W. & Höfle, B. (2013): Boosting the Predictive Accuracy of Urban Hedonic House Price Models Through Airborne Laser Scanning. Computers, Environment and Urban Systems. Vol. 39 (0), pp. 81-92.

[107] 

Hillen, F., Ehlers, M., Reinartz, P. & Höfle, B. (2013): Fusion of Real-Time Remote Sensing Data and In-Situ Sensor Data to Increase Situational Awareness in Digital Earth Applications. In: Proceedings of 35th International Symposium on Remote Sensing of Environment (ISRSE). Beijing, China, pp. 1-6.

[106] 

Hillen, F. & Höfle, B. (2013): Web-based visibility analysis with LiDAR data. gis.SCIENCE. Vol. 26 (1), pp. 1-7.

[105] 

Höfle, B. (2013): Geoinformation extraction from 3D pointclouds – current status and future perspective. In: Proceedings of Digital Geoarchaeology 2013. Heidelberg, Germany, pp. 11-11.

[104] 

Höfle, B., Griesbaum, L. & Forbriger, M. (2013): GIS-Based Detection of Gullies in Terrestrial LiDAR Data of the Cerro Llamoca Peatland (Peru). Remote Sensing. Vol. 11 (5), pp. 5851-5870.

[103] 

Jarmer, T., Siegmann, B., Lilienthal, H., Höfle, B., Selige, T. & Richter, N. (2013): LAI assessing of wheat stands from AISA-DUAL imagery. In: Proceedings of the EARSeL 8th SIG-Imaging Spectroscopy Workshop. Nantes, France, pp. 1-5.

[102] 

Koenig, K., Höfle, B., Müller, L., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2013): Mapping Density of Harvest Residues from Terrestrial Laser Scanning and RGB Imagery. In: ISPRS Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Cologne, Germany, pp. 1-1.

[101] 

Koenig, K., Höfle, B., Müller, L., Hämmerle, M., Jarmer, T., Siegmann, B. & Lilienthal, H. (2013): Radiometric correction of terrestrial LiDAR data for mapping of harvest residues density. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. II(5/W2), pp. 133-138.

[100] 

Koenig, K., Kiefer, A. & Höfle, B. (2013): Laser Scanning for 3D Vegetation Characterization: Web-based Infrastructure for Exploration and Analysis of Vegetation Signatures. In: ISPRS Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Cologne, Germany, pp. 1-1.

[99] 

Koenig, K., Kiefer, A. & Höfle, B. (2013): Web-based visualization and object-based analysis of 3D geoinformation from laser scanning point clouds. gis.SCIENCE. Vol. 26 (2), pp. 70-76.

[98] 

Miernik, G., Kissner, T., Profe, J., Höfle, B., Bechstädt, T. & Zühlke, R. (2013): LiDAR-basierte Aufschlussanalogmodellierung und Datenextraktion für Reservoirmodelle. In: Proceedings of DGMK/ÖGEW-Frühjahrstagung - Fachbereich Aufsuchung und Gewinnung. Celle, Germany, pp. 1-6.

[97] 

Miernik, G., Profe, J., Höfle, B., Kissner, T., Emmerich, A., Bechstädt, T. & Zühlke, R. (2013): Modelling fractured reservoirs from LiDAR derived digital outcrop models (DOMs). In: Proceedings of the 30th IAS Meeting of Sedimentology. Manchester, UK, pp. 1-2.

[96] 

Peters, R. & Höfle, B. (2013): Solarpotenzialanalyse an vertikalen Strukturen mit ArcGIS und GRASS GIS am Beispiel von Lärmschutzwänden. In: Proceedings of the Geoinformatik 2013. Heidelberg, Germany, pp. 1-3.

[95] 

Profe, J., Forbriger, M. & Höfle, B. (2013): . Report No. 022013, Institute of Geography, University of HeidelbergInstitute of Geography, University of Heidelberg, pp. 1-18.

[94] 

Siart, C., Forbriger, M., Nowaczinski, E., Hecht, S. & Höfle, B. (2013): Fusion of multi-resolution surface (terrestrial laser scanning) and subsurface geodata (ERT, SRT) for karst landform investigation and geomorphometric quantification. Earth Surface Processes and Landforms. Vol. 38 (10), pp. 1135-1147.

[93] 

Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T. & Höfle, B. (2013): Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration. In: Proceedings of the EARSeL 8th SIG-Imaging Spectroscopy Workshop. Nantes, France, pp. 1-6.

[92] 

Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T. & Höfle, B. (2013): Comparison of narrow band vegetation indices and empirical models from hyperspectral remote sensing data for the assessment of wheat nitrogen concentration. In: ISPRS Workshop on UAV-based Remote Sensing Methods for Monitoring Vegetation. Cologne, Germany, pp. 1-1.

2012

[91] 

Forbriger, M., Höfle, B., Siart, C., Schittek, K. & Bubenzer, O. (2012): High-resolution Terrestrial Laser Scanning (TLS) on cushion peatlands - a case study from the Peruvian Andes. In: Geophysical Research Abstracts. Vol. 14(EGU2012-11485), pp. 1-1.

[90] 

Forbriger, M., Schittek, K., Höfle, B., Siart, C. & Eitel, B. (2012): Multi-method investigation of cushion peatlands (bofedales) on the Peruvian Altiplano - high-resolution terrestrial archives for palaeoenvironmental reconstructions. In: Geophysical Research Abstracts. Vol. 14(EGU2012-11383), pp. 1-1.

[89] 

Hillen, F. & Höfle, B. (2012): Interoperable Web-based 3D Analysis of Laser Scanning Data for Location-based Mobile Applications. In: Proceedings of the Geoinformatik 2012. Braunschweig, Germany, pp. 399-402.

[88] 

Höfle, B. (2012): Nachhaltige Stromerzeugung - Geoinformationen optimieren Solaranlagen. In: Ruperto Carola Forschungsmagazin. Vol. 1/2012, pp. 44-46.

[87] 

Höfle, B. (2012): Towards Digital Earth - 3D Spatial Data Infrastructures. Report No. 13022012, Scientific Report of Hengstberger Symposium 2011, 7-8 September, HeidelbergScientific Report of Hengstberger Symposium 2011, 7-8 September, Heidelberg, pp. 1-30.

[86] 

Höfle, B., Forbriger, M., Siart, C. & Nowaczinski, E. (2012): Fusion of terrestrial LiDAR and tomographic mapping data for 3D karst landform investigation. In: Geophysical Research Abstracts. Vol. 14(EGU2012-6324-1), pp. 1-1.

[85] 

Höfle, B., Hollaus, M. & Hagenauer, J. (2012): Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 67 (0), pp. 134-147.

[83] 

Höfle, B. & Wagener, O. (2012): Burgen in der Landschaft - Inszenierung und Entzifferung anhand neuer Methoden. In: Wagener, O. Symbole der Macht? Aspekte mittelalterlicher und frühneuzeitlicher Architektur, pp. 123-152. Peter Lang. ISBN: 978-3-631-63967-2

[82] 

Jochem, A., Höfle, B., Wichmann, V., Rutzinger, M. & Zipf, A. (2012): Area-wide roof plane segmentation in airborne LiDAR point clouds. Computers, Environment and Urban Systems. Vol. 36 (1), pp. 54-64.

[81] 

Koenig, K. & Höfle, B. (2012): Laser Scanning for 3D Object Characterization: Infrastructure for Exploration and Analysis of Vegetation Signatures. In: Geophysical Research Abstracts. Vol. 14(EGU2012-6411), pp. 1-1.

[80] 

Lilienthal, H., Richter, N., Jarmer, T., Siegmann, B., Selige, T. & Höfle, B. (2012): Simulation landwirtschaftlicher Online-Sensorik mit Hilfe abbildender Hyperspektraldaten. In: 18. Workshop Computer-Bildanalyse in der Landwirtschaft (=Bornimer Agrartechnische Berichte 78). Osnabrück, Germany, pp. 64-72.

[79] 

Lilienthal, H., Richter, N., Siegmann, B., Jarmer, T., Selige, T. & Höfle, B. (2012): Erzeugung von Bilddaten aus bodengestützten hyperspektralen Feldmessungen. In: 32. Wissenschaftlich-Technische Jahrestagung der DGPF (DGPF-Tagungsband 21). Potsdam, Germany, pp. 323-330.

[78] 

Rutzinger, M., Höfle, B. & Kringer, K. (2012): Accuracy of automatically extracted geomorphological breaklines from airborne LiDAR curvature images. Geografiska Annaler: Series A. Vol. 94 (1), pp. 33-42. Blackwell Publishing Ltd.

[77] 

Schütt, F. & Höfle, B. (2012): . Report No. 092012, Institute of Geography, University of HeidelbergInstitute of Geography, University of Heidelberg, pp. 1-10.

[76] 

Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T. & Höfle, B. (2012): Die Ableitung des Blattflächenindex von Weizenbeständen aus abbildenden Hyperspektraldaten. In: 32. Wissenschaftlich-Technische Jahrestagung der DGPF (DGPF-Tagungsband 21). Potsdam, Germany, pp. 339-346.

[75] 

Siegmann, B., Jarmer, T., Lilienthal, H., Richter, N., Selige, T. & Höfle, B. (2012): Hyperspektraldaten zur Erfassung des Blattflächenindex von Weizenbeständen. In: Proceedings of the Geoinformatik 2012. Braunschweig, Germany, pp. 343-350.

[74] 

Siegmann, B., Jarmer, T., Selige, T., Lilienthal, H., Richter, N. & Höfle, B. (2012): Using hyperspectral remote sensing data for the assessment of topsoil organic carbon from agricultural soils. In: Proceedings of SPIE, Remote Sensing for Agriculture, Ecosystems, and Hydrology XIV. Vol. 8531, pp. 85312C.

2011

[73] 

Auer, M., Höfle, B., Lanig, S., Schilling, A. & Zipf, A. (2011): 3D-Sutras: A web based atlas of laser scanned Buddhist stone inscriptions in China. In: Proceedings 14th AGILE International Conference on Geographic Information Science. Utrecht, The Netherlands, pp. digital media.

[72] 

Forbriger, M., Müller, L., Siart, C., Schittek, K., Höfle, B., Bubenzer, O., Reindel, M. & Eitel, B. (2011): Terrestrial laser scanning in geoarchaeology – capturing one of the oldest settlement places in the high Andes of southern Peru. In: Geophysical Research Abstracts. Vol. 13(EGU2011-12236), pp. 1-1.

[71] 

Forbriger, M., Schittek, K., Siart, C. & Höfle, B. (2011): New approaches in vegetation mapping – use of terrestrial laser scanning on high Andean cushion peatlands. In: Geophysical Research Abstracts. Vol. 13(EGU2011-12268), pp. 1-1.

[70] 

Fritzmann, P., Höfle, B., Vetter, M., Sailer, R., Stötter, J. & Bollmann, E. (2011): Surface classification based on multi-temporal airborne LiDAR intensity data in high mountain environments. Zeitschrift für Geomorphologie. Vol. 55 (2), pp. 105-126.

[69] 

Höfle, B., Pfeifer, N. & Zipf, A. (2011): Laser Scanning Spatial Data Infrastructure (LaSDI). Report EW10-085, Scientific Report of ESF Exploratory Workshop, 8-11 September, HeidelbergScientific Report of ESF Exploratory Workshop, 8-11 September, Heidelberg, pp. 1-18.

[68] 

Höfle, B. & Rutzinger, M. (2011): Topographic airborne LiDAR in geomorphology: A technological perspective. Zeitschrift für Geomorphologie. Vol. 55 (2), pp. 1-29.

[67] 

Hollaus, M., Aubrecht, C., Höfle, B., Steinnocher, K. & Wagner, W. (2011): Roughness Mapping on Various Vertical Scales Based on Full-Waveform Airborne Laser Scanning Data. Remote Sensing. Vol. 3 (3), pp. 503-523.

[66] 

Jochem, A., Höfle, B. & Rutzinger, M. (2011): Extraction of Vertical Walls from Mobile Laser Scanning Data for Solar Potential Assessment. Remote Sensing. Vol. 3 (4), pp. 650-667.

[65] 

Jochem, A., Hollaus, M., Rutzinger, M. & Höfle, B. (2011): Estimation of Aboveground Biomass in Alpine Forests: A Semi-Empirical Approach Considering Canopy Transparency Derived from Airborne LiDAR Data. Sensors. Vol. 11 (1), pp. 278-295.

[64] 

Lanig, S., Höfle, B., Auer, M., Schilling, A., Deierling, H. & Zipf, A. (2011): Geodateninfrastrukturen im historisch-geographischen Kontext – Buddhistische Steinschriften in der Provinz Sichuan/China. In: Strobl, J., Blaschke, T. & Griesebner, G. Angewandte Geoinformatik 2011: Beiträge zum 23. AGIT-Symposium Salzburg, pp. 740-749. Wichmann. ISBN: 978-3-87907-508-9

[63] 

Lanig, S., Schilling, A., Auer, M., Höfle, B., Billen, N. & Zipf, A. (2011): Interoperable integration of high precision 3D laser data and large scale geoanalysis in a SDI for Sutra inscriptions in Sichuan (China). In: Proceedings of the Geoinformatik 2011: Geochange (ifgiPrints 41). Münster, Germany, pp. 79-84.

[62] 

Mandlburger, G., Otepka, J., Karel, W., Hollaus, M., Ressl, C., Haring, A., Briese, C., Molnar, G. & Höfle, B. (2011): OPALS - a comprehensive laser scanning software for geomorphological analysis. In: Geophysical Research Abstracts. Vol. 13(EGU2011-7933), pp. 1-1.

[61] 

Rutzinger, M., Höfle, B. & Kringer, K. (2011): Quality of geomorphological breaklines extracted from airborne laser scanning. In: Geophysical Research Abstracts. Vol. 13(EGU2011-8673), pp. 1-1.

[60] 

Rutzinger, M., Höfle, B., Oude Elberink, S. & Vosselman, G. (2011): Feasibility of Facade Footprint Extraction from Mobile Laser Scanning Data. Photogrammetrie Fernerkundung Geoinformation (PFG). Vol. 2011 (3), pp. 97-107.

[59] 

Rutzinger, M., Höfle, B., Vetter, M. & Pfeifer, N. (2011): Digital terrain models from airborne laser scanning for the automatic extraction of natural and anthropogenic linear structures. In: Smith, M., Paron, P. & Griffiths, J.S. Geomorphological Mapping: Methods and Applications, pp. 475-488. Elsevier. ISBN: 978-0444534460

[58] 

Vetter, M., Gschöpf, G., Höfle, B., Hollaus, M., Mücke, W., Pfeifer, N., Blöschl, G. & Wagner, W. (2011): Manningś n determination using vertical vegetation structure based on dense airborne laser scanning data. In: Geophysical Research Abstracts. Vol. 13(EGU2011-10351), pp. 1-1.

[57] 

Vetter, M., Höfle, B., Hollaus, M., Gschöpf, G., Mandlburger, G., Pfeifer, N. & Wagner, W. (2011): Vertical vegetation structure analysis and hydraulic roughness determination using dense ALS point cloud data - a voxel based approach. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII(Part 5/W12), pp. 1-6 (digital media).

[56] 

Vetter, M., Höfle, B., Mandlburger, G. & Rutzinger, M. (2011): Estimating changes of riverine landscapes and riverbeds by using airborne LiDAR data and river cross-sections. Zeitschrift für Geomorphologie. Vol. 55 (2), pp. 51-65.

2010

[55] 

Aubrecht, C., Höfle, B., Hollaus, M., Köstl, M., Steinnocher, K. & Wagner, W. (2010): Vertical roughness mapping - ALS based classification of the vertical vegetation structure in forested areas. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII(Part 7B), pp. 35-40.

[54] 

Höfle, B. & Hollaus, M. (2010): Roughness Parameterization Using Full-Waveform Airborne LiDAR Data. In: Geophysical Research Abstracts. Vol. 12(EGU2010-2528), pp. 1-1.

[53] 

Höfle, B. & Hollaus, M. (2010): Urban vegetation detection using high density full-waveform airborne LiDAR data - Combination of object-based image and point cloud analysis. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII(Part 7B), pp. 281-286.

[52] 

Hollaus, M. & Höfle, B. (2010): Terrain roughness parameters from full-waveform airborne LiDAR data. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII(Part 7B), pp. 287-292.

[51] 

Jochem, A., Hollaus, M., Rutzinger, M., Höfle, B., Schadauer, K. & Maier, B. (2010): Estimation of aboveground biomass using airborne LiDAR data. In: Proceedings of Silvilaser 2010: the 10th International Conference on LiDAR Applications for Assessing Forest Ecosystems. Freiburg, Germany, pp. digital media: 9 p.

[50] 

Jochem, A., Wichmann, V. & Höfle, B. (2010): Large area point cloud based solar radiation modeling. In: Böhner, J., Conrad, O. & Hengl, T. SAGA Third Degree. Hamburger Beiträge zur Physischen Geographie und Landschaftsökologie, Vol. 21

[49] 

Mandlburger, G., Briese, C., Otepka, J., Höfle, B. & Pfeifer, N. (2010): Verwaltung landesweiter Full Waveform Airborne Laser Scanning Daten. In: Proceedings 3-Ländertagung 2010, D-A-CH conference, DGPF Tagungsband. Vol. 19, pp. 356-365.

[48] 

Podobnikar, T., Székely, B., Hollaus, M., Roncat, A., Dorninger, P., Briese, C., Melzer, T., Pathe, C., Höfle, B. & Pfeifer, N. (2010): Vsestranska uporaba aero-laserskega skeniranja za ugotavljanje nevarnosti zaradi naravnih nesreč na območju Alp. In: Zorn, M., Komac, B., Pavšek, M. & Pagon, P. Od razumevanja do upravljanja, pp. 125-137. ISBN: 978-961-254-185-9

[47] 

Rutzinger, M., Höfle, B., Vetter, M., Stötter, J. & Pfeifer, N. (2010): Classification of breaklines derived from airborne LiDAR data for geomorphological activity mapping. In: Geophysical Research Abstracts. Vol. 12(EGU2010-2246-2), pp. 1-1.

[46] 

Rutzinger, M., Rüf, B., Höfle, B. & Vetter, M. (2010): Change detection of building footprints from airborne laser scanning acquired in short time intervals. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII(Part 7B), pp. 475-480.

[45] 

Vetter, M., Höfle, B., Mandlburger, G. & Rutzinger, M. (2010): Change detection of riverbed movements using river cross-sections and LiDAR data. In: Geophysical Research Abstracts. Vol. 12(EGU2010-8169), pp. 1-1.

2009

[44] 

Adams, M., Gangkofner, U., Stemberger, W., Doubkova, M., Höfle, B., Hollaus, M., Sabel, D., Aubrecht, C. & Steinnocher, K. (2009): . Report No. 817082, Final report submitted to the FFG in the frame of the project SAR-X Environ financed by the Austrian Space Applications ProgrammeFinal report submitted to the FFG in the frame of the project SAR-X Environ financed by the Austrian Space Applications Programme, pp. 1-235.

[43] 

Bell, R., Höfle, B. & Chlaupek, A. (2009): Potential of Terrestrial and Airborne LiDAR in Geomorphology - A Geomorphological Perspective. In: Geophysical Research Abstracts. Vol. 11(EGU2009-6188), pp. 1-1.

[42] 

Geist, T., Höfle, B., Rutzinger, M., Pfeifer, N. & Stötter, J. (2009): Laser Scanning - a paradigm change in topographic data acquisition for natural hazard management. In: Veulliet, E., Stötter, J. & Weck-Hannemann, H. Sustainable Natural Hazard Management in Alpine Environments, pp. 309-344. Springer. ISBN: 978-3-642-03228-8

[41] 

Höfle, B., Mandlburger, G., Pfeifer, N., Rutzinger, M. & Bell, R. (2009): Potential of Airborne LiDAR in Geomorphology - A Technological Perspective. In: Geophysical Research Abstracts. Vol. 11(EGU2009-4630), pp. 1-1.

[40] 

Höfle, B., Mücke, W., Dutter, M., Rutzinger, M. & Dorninger, P. (2009): Detection of building regions using airborne LiDAR - A new combination of raster and point cloud based GIS methods. In: Car, A., Griesebner, G. & Strobl, J. Geospatial Crossroads @ GI_Forum '09: Proceedings of the Geoinformatics Forum Salzburg, pp. 66-75. Wichmann. ISBN: 978-3-87907-465-5

[39] 

Höfle, B., Sailer, R., Vetter, M., Rutzinger, M. & Pfeifer, N. (2009): Glacier surface feature detection and classification from airborne LiDAR data. In: Geophysical Research Abstracts. Vol. 11(EGU2009-4665), pp. 1-1.

[38] 

Höfle, B., Vetter, M., Pfeifer, N., Mandlburger, G. & Stötter, J. (2009): Water surface mapping from airborne laser scanning using signal intensity and elevation data. Earth Surface Processes and Landforms. Vol. 34 (12), pp. 1635-1649. John Wiley & Sons, Ltd.

[37] 

Hollaus, M., Dorigo, W., Wagner, W., Schadauer, K., Höfle, B. & Maier, B. (2009): Operational wide-area stem volume estimation based on airborne laser scanning and national forest inventory data. International Journal of Remote Sensing. Vol. 30 (19), pp. 5159-5175. Taylor & Francis.

[36] 

Hollaus, M., Mücke, W., Höfle, B., Dorigo, W., Pfeifer, N., Wagner, W., Bauerhansl, C. & Regner, B. (2009): Tree species classification based on full-waveform airborne laser scanning data. In: Proceedings of Silvilaser 2009. College Station, Texas, pp. 54-62.

[35] 

Jochem, A., Höfle, B., Hollaus, M. & Rutzinger, M. (2009): Object detection in airborne LIDAR data for improved solar radiation modeling in urban areas. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVIII(Part 3/W8), pp. 1-6.

[34] 

Jochem, A., Höfle, B., Rutzinger, M. & Pfeifer, N. (2009): Automatic roof plane detection and analysis in airborne LIDAR point clouds for solar potential assessment. Sensors. Vol. 9 (7), pp. 5241-5262. MDPI Publishing.

[33] 

Mandlburger, G., Hauer, C., Höfle, B., Habersack, H. & Pfeifer, N. (2009): Optimisation of LiDAR derived terrain models for river flow modelling. Hydrology and Earth System Sciences (HESS). Vol. 13 (8), pp. 1453-1466. Copernicus Publications.

[32] 

Mandlburger, G., Höfle, B., Briese, C., Ressl, C., Otepka, J., Hollaus, M. & Pfeifer, N. (2009): Topographische Daten aus Laserscanning als Grundlage für Hydrologie und Wasserwirtschaft. Österreichische Wasser- und Abfallwirtschaft. Vol. 61 (7-8), pp. 89-97. Springer.

[31] 

Pfeifer, N., Briese, C., Mandlburger, G., Höfle, B. & Ressl, C. (2009): State of the art in high accuracy high detail DTMs derived from ALS. In: Geophysical Research Abstracts. Vol. 11(EGU2009-4540), pp. 1-1.

[30] 

Pfeifer, N., Höfle, B., Hollaus, M. & Mücke, W. (2009): Aktueller Stand und Potenzial von Full-waveform Laserscanning in der Geomorphologie. In: Deutscher Geographentag 2009 - Fachsitzung 62: Möglichkeiten und Grenzen von Laserscanning in der Geomorphologie. Vienna, Austria, pp. 1-1.

[29] 

Sailer, R., Höfle, B., Bollman, E., Vetter, M., Stötter, J., Pfeifer, N., Rutzinger, M. & Geist, T. (2009): Multitemporal error analysis of LiDAR data for geomorphological feature detection. In: Geophysical Research Abstracts. Vol. 11(EGU2009-4799-2), pp. 1-1.

[28] 

Vetter, M., Höfle, B., Pfeifer, N., Rutzinger, M., Sailer, R., Stötter, J. & Geist, T. (2009): The Hintereisferner - eight years of experience in method development for glacier monitoring with airborne LiDAR. In: Geophysical Research Abstracts. Vol. 11(EGU2009-7405-3), pp. 1-1.

[27] 

Vetter, M., Höfle, B., Pfeifer, N., Rutzinger, M. & Stötter, J. (2009): On the use of airborne LiDAR for braided river monitoring and water surface delineation. In: Geophysical Research Abstract. Vol. 11(EGU2009-7524-2), pp. 1-1.

[26] 

Vetter, M., Höfle, B. & Rutzinger, M. (2009): Water classification using 3D airborne laser scanning point clouds. Österreichische Zeitschrift für Vermessung und Geoinformation (VGI). Vol. 97 (2), pp. 227-238.

[25] 

Wagner, W., Hollaus, M. & Höfle, B. (2009): Terrain characterization and vegetation structural analysis with full-waveform airborne laser scanners. In: Proceedings of Remote Sensing and Photogrammetry Society Annual Conference 2009. Leicester, United Kingdom, pp. 208-213.

2008

[24] 

Briese, C., Höfle, B. & Lehner, H. (2008): . Report, Institute of Photogrammetry and Remote Sensing, Vienna University of TechnologyInstitute of Photogrammetry and Remote Sensing, Vienna University of Technology, pp. 1-30.

[23] 

Briese, C., Höfle, B., Lehner, H., Wagner, W., Pfennigbauer, M. & Ullrich, A. (2008): . In: Proceedings of SPIE. Vol. 6950(Paper 6950-19), pp. 69500H1-69500H8.

[22] 

Höfle, B., Hollaus, M., Lehner, H., Pfeifer, N. & Wagner, W. (2008): Area-based parameterization of forest structure using full-waveform airborne laser scanning data. In: Proceedings of Silvilaser 2008. Edinburgh, Scotland, pp. 227-235 (on CD-ROM).

[21] 

Höfle, B., Hollaus, M., Pfeifer, N. & Wagner, W. (2008): . Report, Institute of Photogrammetry and Remote Sensing, Vienna University of TechnologyInstitute of Photogrammetry and Remote Sensing, Vienna University of Technology, pp. 1-59.

[20] 

Höfle, B., Pfeifer, N., Ressl, C., Rutzinger, M. & Vetter, M. (2008): Water surface mapping using airborne laser scanning elevation and signal amplitude data. In: Geophysical Research Abstracts. Vol. 10(EGU2008-A-06897), pp. 1-2.

[19] 

Pfeifer, N., Höfle, B., Briese, C., Rutzinger, M. & Haring, A. (2008): Analysis of the backscattered energy in terrestrial laser scanning data. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII(Part B5), pp. 1045-1051.

[18] 

Rutzinger, M., Höfle, B., Hollaus, M. & Pfeifer, N. (2008): Object-Based Point Cloud Analysis of Full-Waveform Airborne Laser Scanning Data for Urban Vegetation Classification. Sensors. Vol. 8 (8), pp. 4505-4528. MDPI Publishing.

[17] 

Rutzinger, M., Höfle, B. & Pfeifer, N. (2008): Object detection in airborne laser scanning data - an integrative approach on object-based image and point cloud analysis. In: Blaschke, T., Lang, S. & Hay, G. Object-Based Image Analysis - Spatial concepts for knowledge-driven remote sensing applications, pp. 645-662. Springer. ISBN: 978-3-54077-057-2

[16] 

Vetter, M., Höfle, B., Mandlburger, G. & Rutzinger, M. (2008): Ableitung von Flusssohlenmodellen aus Flussquerprofilen und Integration in Airborne Laserscanning Geländemodelle mit GRASS GIS. In: Strobl, J., Blaschke, T. & Griesebner, G. Angewandte Geoinformatik 2008: Beiträge zum 20. AGIT-Symposium Salzburg, pp. 382-391. Wichmann. ISBN: 978-3-87907-464-8

2007

[15] 

Höfle, B. (2007): Detection and Utilization of the Information Potential of Airborne Laser Scanning Point Cloud and Intensity Data by Developing a Management and Analysis System. PhD Thesis, Faculty of Geo- and Atmospheric Sciences, University of Innsbruck, Austria, pp. 1-129.

[14] 

Höfle, B., Geist, T., Rutzinger, M. & Pfeifer, N. (2007): Glacier surface segmentation using airborne laser scanning point cloud and intensity data. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVI(Part 3/W52), pp. 195-200.

[13] 

Höfle, B. & Pfeifer, N. (2007): Correction of laser scanning intensity data: Data and model-driven approaches. ISPRS Journal of Photogrammetry and Remote Sensing. Vol. 62 (6), pp. 415-433.

[12] 

Kodde, M., Pfeifer, N., Gorte, B., Geist, T. & Höfle, B. (2007): Automatic glacier surface analysis from airborne laser scanning. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVI(Part 3/W52), pp. 221-226 (on CD-ROM).

[11] 

Rutzinger, M., Höfle, B. & Pfeifer, N. (2007): Detection of high urban vegetation with airborne laser scanning data. In: Proceedings Forestsat 2007. Montpellier, France, pp. 1-5 (on CD-ROM).

2006

[10] 

Edelmaier, F., Höfle, B. & Heller, A. (2006): Konzepte zur 3D Visualisierung von Laserscanner-Daten mit VTK und Python. In: Strobl, J., Blaschke, T. & Griesebner, G. Angewandte Geoinformatik 2006: Beiträge zum 18. AGIT-Symposium Salzburg, pp. 129-134. Wichmann. ISBN: 978-3-87907-437-2

[9] 

Geist, T., Höfle, B., Kodde, M., Kodde, S., Karimi, F., Lindenbergh, R. & Pfeifer, N. (2006): Experimente am Hintereisferner mit dem terrestrischen Laserscanner Ilris 3D. Report, Institute of Geography, University of InnsbruckInstitute of Geography, University of Innsbruck, pp. 1-9.

[8] 

Höfle, B., Rutzinger, M., Geist, T. & Stötter, J. (2006): Using airborne laser scanning data in urban data management - set up of a flexible information system with open source components. In: Proceedings UDMS 2006: Urban Data Management Symposium. Aalborg, Denmark, pp. 7.11-7.23 (on CD-ROM).

[7] 

Höfle, B., Rutzinger, M. & Pfeifer, N. (2006): Terrestrial Laser Scanner Optech ILRIS 3D - Experiment on the angle of incidence and recorded intensity. Report, Institute of Geography, University of InnsbruckInstitute of Geography, University of Innsbruck, pp. 1-7.

[6] 

Rutzinger, M., Höfle, B., Geist, T. & Stötter, J. (2006): Object-based building detection based on airborne laser scanning data within GRASS GIS environment. In: Proceedings UDMS 2006: Urban Data Management Symposium. Aalborg, Denmark, pp. 7.37-7.48 (on CD-ROM).

[5] 

Rutzinger, M., Höfle, B., Pfeifer, N., Geist, T. & Stötter, J. (2006): Object-based analysis of airborne laser scanning data for natural hazard purposes using open source components. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVI(Part 4/C42), pp. 1-5 (on CD-ROM).

2005

[4] 

Geist, T., Höfle, B., Rutzinger, M. & Stötter, J. (2005): Der Einsatz von flugzeuggestützten Laserscanner Daten für geowissenschaftliche Untersuchungen in Gebirgsräumen. Photogrammetrie, Fernerkundung, Geoinformation (PFG). Vol. 2005 (3), pp. 183-190.

[3] 

Höfle, B. (2005): Entwicklung eines Informationssystems für Laserscannerdaten mit open source Software. Master Thesis, Institute of Geography, University of Innsbruck, Austria, pp. 1-199.

[2] 

Höfle, B., Geist, T., Heller, A. & Stötter, J. (2005): Entwicklung eines Informationssystems für Laserscannerdaten mit OpenSource-Software. In: Strobl, J., Blaschke, T. & Griesebner, G. Angewandte Geoinformatik 2005: Beiträge zum 17. AGIT-Symposium Salzburg, pp. 277-286. Wichmann. ISBN: 978-3-87907-422-8

2004

[1] 

Geist, T., Höfle, B., Rutzinger, M. & Stötter, J. (2004): Analysis of laser scanner data with remote sensing techniques for determining surface characteristics. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVI(Part 8/W2), pp. 297-297.

Editor: Webmaster Team
Latest Revision: 2019-06-03
zum Seitenanfang/up