Universitätssiegel
Contact
Prof. Dr. Bernhard Höfle
Institute of Geography
3DGeo Research Group
Heidelberg University
Im Neuenheimer Feld 368
D-69120 Heidelberg, Germany
hoefle@uni-heidelberg.de
Phone: +49 6221 54-5594
Fax: +49 6221 54-4996
 

Publications

LiDAR Bilderreihe

    

Peer-reviewed articles are highlighted.

2018

[193] 

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.

[192] 

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.

[191] 

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.

[190] 

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.

[189] 

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.

[188] 

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.

[187] 

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.

[186] 

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.

[185] 

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.

[184] 

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.

[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): 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.

[122] 

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.

[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): Multitemporale 3D-Erfassung und GIS-Analyse fluvial-geomorphologischer Prozesse mit terrestrischem Laserscanning. In: Proceedings of the Geoinformatik 2013. Heidelberg, Germany, pp. 1-8.

[110] 

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.

[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): 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.

[101] 

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.

[100] 

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.

[99] 

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.

[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): 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.

[87] 

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

[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): Hyperspektraldaten zur Erfassung des Blattflächenindex von Weizenbeständen. In: Proceedings of the Geoinformatik 2012. Braunschweig, Germany, pp. 343-350.

[75] 

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.

[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): 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.

[53] 

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

[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: 2018-07-04
zum Seitenanfang/up