
XXIV ISPRS Congress
Virtual Event of the 2020 Presentations
Nice, France, 31.08.2020 - 02.09.2020
Organizer: Société Française de Photogrammétrie et de Télédétection / Nicolas Paparoditis
Type of Event: Congress
Multi Media Type: Remote
Session: WE.1.8
Landuse and Landcover Change Detection
Video of the whole session
Single Presentations

Imclass - a user-tailored machine learning image classification chain for change detection or landcover mapping.
Corresponding paper: IMCLASS – A USER-TAILORED MACHINE LEARNING IMAGE CLASSIFICATION CHAIN FOR CHANGE DETECTION OR LANDCOVER MAPPING
Auhor(s): A. Déprez, A. Puissant, J.-P. Malet, and D. Michéa
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-677-2020

Specific alpine environment land cover classification methodology: Google Earth Engine processing for Sentinel-2 data
Corresponding paper: SPECIFIC ALPINE ENVIRONMENT LAND COVER CLASSIFICATION METHODOLOGY: GOOGLE EARTH ENGINE PROCESSING FOR SENTINEL-2 DATA
Auhor(s): E. Belcore, M. Piras, and E. Wozniak
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-663-2020

Deep learning based on optical flow estimation for change detection: a case study in Indonesia earthquake
Corresponding paper: DEEP LEARNING BASED OPTICAL FLOW ESTIMATION FOR CHANGE DETECTION: A CASE STUDY IN INDONESIA EARTHQUAKE
Auhor(s): H. J. Qiao, X. Wan, J. Z. Xu, S. Y. Li, and P. P. He
Volume: Annals V-3-2020 / 2020
https://doi.org/10.5194/isprs-annals-V-3-2020-317-2020

Detection of land cover displacements through time-series analysis of multispectral satellite imagery: Application to desert sand dunes
Corresponding paper: DETECTION OF LAND COVER DISPLACEMENTS THROUGH TIME-SERIES ANALYSIS OF MULTISPECTRAL SATELLITE IMAGERY: APPLICATION TO DESERT
Auhor(s): D. Oxoli, M. A. Brovelli, D. Frizzi, and S. Martinati
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-739-2020

Automatically generated training data for land cover classification with cnns using sentinel-2 images
Corresponding paper: AUTOMATICALLY GENERATED TRAINING DATA FOR LAND COVER CLASSIFICATION WITH CNNS USING SENTINEL-2 IMAGES
Auhor(s): M. Voelsen, J. Bostelmann, A. Maas, F. Rottensteiner, and C. Heipke
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-767-2020

Medium resolution remote rensing image change detection based vector analysis of midline change
Corresponding paper: MIDDLE RESOLUTION REMOTE SENSING IMAGE CHANGE DETECTION BASED ON VECTOR ANALYSIS OF MIDLINE CHANGE
Auhor(s): Q. Ye, X. Zhang, X. Jiang, and Q. Huang
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-775-2020