Prof. Dr. Norman Kerle
Prof. Dr. Norman Kerle
Full Professor of Remote Sensing for Disaster Risk Management
Verified email at - Homepage
Cited by
Cited by
Object-oriented mapping of landslides using Random Forests
A Stumpf, N Kerle
Remote sensing of environment 115 (10), 2564-2577, 2011
Characterising spectral, spatial and morphometric properties of landslides for semi-automatic detection using object-oriented methods
TR Martha, N Kerle, V Jetten, CJ van Westen, KV Kumar
Geomorphology 116 (1-2), 24-36, 2010
An ontology of slums for image-based classification
D Kohli, R Sliuzas, N Kerle, A Stein
Computers, environment and urban systems 36 (2), 154-163, 2012
Segment optimization and data-driven thresholding for knowledge-based landslide detection by object-based image analysis
TR Martha, N Kerle, CJ Van Westen, V Jetten, KV Kumar
IEEE transactions on geoscience and remote sensing 49 (12), 4928-4943, 2011
Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning
A Vetrivel, M Gerke, N Kerle, F Nex, G Vosselman
ISPRS journal of photogrammetry and remote sensing 140, 45-59, 2018
Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information
L See, P Mooney, G Foody, L Bastin, A Comber, J Estima, S Fritz, N Kerle, ...
ISPRS International Journal of Geo-Information 5 (5), 55, 2016
Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran
HR Pourghasemi, N Kerle
Environmental earth sciences 75, 1-17, 2016
Object-oriented change detection for landslide rapid mapping
P Lu, A Stumpf, N Kerle, N Casagli
IEEE Geoscience and remote sensing letters 8 (4), 701-705, 2011
Urban social vulnerability assessment with physical proxies and spatial metrics derived from air-and spaceborne imagery and GIS data
A Ebert, N Kerle, A Stein
Natural hazards 48, 275-294, 2009
UAV-based urban structural damage assessment using object-based image analysis and semantic reasoning
J Fernandez Galarreta, N Kerle, M Gerke
Natural hazards and earth system sciences 15 (6), 1087-1101, 2015
Object-oriented analysis of multi-temporal panchromatic images for creation of historical landslide inventories
TR Martha, N Kerle, CJ Van Westen, V Jetten, KV Kumar
ISPRS journal of photogrammetry and remote sensing 67, 105-119, 2012
Image-based mapping of surface fissures for the investigation of landslide dynamics
A Stumpf, JP Malet, N Kerle, U Niethammer, S Rothmund
Geomorphology 186, 12-27, 2013
Landslide hazard and risk assessment using semi-automatically created landslide inventories
TR Martha, CJ van Westen, N Kerle, V Jetten, KV Kumar
Geomorphology 184, 139-150, 2013
Object-based gully feature extraction using high spatial resolution imagery
RBV Shruthi, N Kerle, V Jetten
Geomorphology 134 (3-4), 260-268, 2011
Object-oriented identification of forested landslides with derivatives of single pulse LiDAR data
M Van Den Eeckhaut, N Kerle, J Poesen, J Hervás
Geomorphology 173, 30-42, 2012
Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images
A Vetrivel, M Gerke, N Kerle, G Vosselman
ISPRS journal of photogrammetry and remote sensing 105, 61-78, 2015
Catastrophic precipitation‐triggered lahar at Casita volcano, Nicaragua: Occurrence, bulking and transformation
KM Scott, JW Vallance, N Kerle, J Luis Macías, W Strauch, G Devoli
Earth Surface Processes and Landforms: The Journal of the British …, 2005
Landslide susceptibility mapping along road corridors in the Indian Himalayas using Bayesian logistic regression models
I Das, A Stein, N Kerle, VK Dadhwal
Geomorphology 179, 116-125, 2012
Automatic structural seismic damage assessment with airborne oblique Pictometry© imagery
M Gerke, N Kerle
Photogrammetric Engineering & Remote Sensing 77 (9), 885-898, 2011
UAV-based structural damage mapping: A review
N Kerle, F Nex, M Gerke, D Duarte, A Vetrivel
ISPRS international journal of geo-information 9 (1), 14, 2019
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