
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.1.7
Change detection & Disaster Management
Video of the whole session
Single Presentations

IDENTIFYING LAND USE AND LAND COVER (LULC) CHANGE FROM 2000 TO 2025 DRIVEN BY TOURISM GROWTH IN BALI
Corresponding paper: IDENTIFYING LAND USE AND LAND COVER (LULC) CHANGE FROM 2000 TO 2025 DRIVEN BY TOURISM GROWTH: A STUDY CASE IN BALI
Auhor(s): A. B. Rimba, T. Atmaja, G. Mohan, S. K. Chapagain, A. Arumansawang, C. Payus, and K. Fukushi
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1621-2020

Evaluation of semantic segmentation methods for deforestation detection in the Amazon
Corresponding paper: EVALUATION OF SEMANTIC SEGMENTATION METHODS FOR DEFORESTATION DETECTION IN THE AMAZON
Auhor(s): R. B. Andrade, G. A. O. P. Costa, G. L. A. Mota, M. X. Ortega, R. Q. Feitosa, P. J. Soto, and C. Heipke
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1497-2020

Evaluation of spatio-temporal aspects of land use and land cover changes in Nagaland, North-East, India
Corresponding paper: EVALUATION OF SPATIO-TEMPORAL ASPECTS OF LAND USE AND LAND COVER CHANGES IN NAGALAND, NORTH-EAST, INDIA
Auhor(s): N. Hiese, Z. Hiese, D. Katiry, T. Medo, and M. Hiese
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1547-2020

Domain Adaptation With CycleGAN For Change Detection In The Amazon Forest
Corresponding paper: DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST
Auhor(s): P. J. Soto, G. A. O. P. Costa, R. Q. Feitosa, P. N. Happ, M. X. Ortega, J. Noa, C. A. Almeida, and C. Heipke
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1635-2020

Near-realtime flood detection from multi-temporal sentinel radar images using artificial intelligence
Corresponding paper: NEAR-REALTIME FLOOD DETECTION FROM MULTI-TEMPORAL SENTINEL RADAR IMAGES USING ARTIFICIAL INTELLIGENCE
Auhor(s): R. M. de la Cruz, N. T. Olfindo Jr., M. M. Felicen, N. J. B. Borlongan, J. K. L. Difuntorum, and J. J. S. Marciano Jr.
Volume: Archives XLIII-B3-2020 / 2020
https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1663-2020