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Andre Stumpf
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Year
Object-oriented mapping of landslides using Random Forests
A Stumpf, N Kerle
Remote sensing of environment 115 (10), 2564-2577, 2011
7972011
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
3242011
Object-oriented mapping of urban trees using Random Forest classifiers
A Puissant, S Rougier, A Stumpf
International Journal of Applied Earth Observation and Geoinformation 26 …, 2014
2512014
Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion
A Stumpf, JP Malet, P Allemand, M Pierrot-Deseilligny, G Skupinski
Geomorphology 231, 130-145, 2015
2382015
A method for automatic and rapid mapping of water surfaces from sentinel-1 imagery
F Bioresita, A Puissant, A Stumpf, JP Malet
Remote Sensing 10 (2), 217, 2018
2302018
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
1982013
Correlation of satellite image time-series for the detection and monitoring of slow-moving landslides
A Stumpf, JP Malet, C Delacourt
Remote sensing of environment 189, 40-55, 2017
1532017
Surface reconstruction and landslide displacement measurements with Pléiades satellite images
A Stumpf, JP Malet, P Allemand, P Ulrich
ISPRS Journal of Photogrammetry and Remote Sensing 95, 1-12, 2014
1512014
Active learning in the spatial domain for remote sensing image classification
A Stumpf, N Lachiche, JP Malet, N Kerle, A Puissant
IEEE transactions on geoscience and remote sensing 52 (5), 2492-2507, 2013
1222013
Automatic identification of rockfalls and volcano-tectonic earthquakes at the Piton de la Fournaise volcano using a Random Forest algorithm
C Hibert, F Provost, JP Malet, A Maggi, A Stumpf, V Ferrazzini
Journal of Volcanology and Geothermal Research 340, 130-142, 2017
1122017
An empirical study into annotator agreement, ground truth estimation, and algorithm evaluation
TA Lampert, A Stumpf, P Gançarski
IEEE Transactions on Image Processing 25 (6), 2557-2572, 2016
1102016
Initial insights from a global database of rainfall-induced landslide inventories: The weak influence of slope and strong influence of total storm rainfall
O Marc, A Stumpf, JP Malet, M Gosset, T Uchida, SH Chiang
Earth Surface Dynamics 6 (4), 903-922, 2018
1062018
Improved co-registration of Sentinel-2 and Landsat-8 imagery for Earth surface motion measurements
A Stumpf, D Michéa, JP Malet
Remote Sensing 10 (2), 160, 2018
992018
Hierarchical extraction of landslides from multiresolution remotely sensed optical images
C Kurtz, A Stumpf, JP Malet, P Gançarski, A Puissant, N Passat
ISPRS Journal of Photogrammetry and Remote Sensing 87, 122-136, 2014
922014
Fusion of Sentinel-1 and Sentinel-2 image time series for permanent and temporary surface water mapping
F Bioresita, A Puissant, A Stumpf, JP Malet
International Journal of Remote Sensing 40 (23), 9026-9049, 2019
742019
Combining Random Forests and object-oriented analysis for landslide mapping from very high resolution imagery
A Stumpf, N Kerle
Procedia Environmental Sciences 3, 123-129, 2011
662011
Photogrammetric discharge monitoring of small tropical mountain rivers: A case study at Rivière des Pluies, Réunion Island
A Stumpf, E Augereau, C Delacourt, J Bonnier
Water Resources Research 52 (6), 4550-4570, 2016
572016
Comparison of sampling strategies for object-based classification of urban vegetation from Very High Resolution satellite images
S Rougier, A Puissant, A Stumpf, N Lachiche
International Journal of Applied Earth Observation and Geoinformation 51, 60-73, 2016
382016
Terrain deformation measurements from optical satellite imagery: The MPIC-OPT processing services for geohazards monitoring
F Provost, D Michéa, JP Malet, E Boissier, E Pointal, A Stumpf, F Pacini, ...
Remote Sensing of Environment 274, 112949, 2022
232022
Landslide recognition and monitoring with remotely sensed data from passive optical sensors
A Stumpf
Université de Strasbourg, 2013
192013
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