MO3.R7.2

MULTI-SOURCE LAND COVER CLASSIFICATION WITH AN INTEGRATED FEATURE SET IN MEKONG BASIN

Jian Yan, Xiaofei Mi, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Zhigao Ma, Henan Polytechnic University, China; Hongbo Zhu, North China Institute of Aerospace Engineering, China; Zhenzhao Jiang, Yuke Meng, Henan Polytechnic University, China; Peizhuo Liu, Beihang University, China; Jian Yang, Xingfa Gu, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
MO3.R7: Remote Sensing in Landcover Classification Oral
Track:
Land Applications
Location:
MC 3 Hall
Presentation Time:
Mon, 8 Jul, 13:54 - 14:08
Session Chair:
Sanjay Kumar Ghosh, Indian Institute of Technology Roorkee
Presentation
Discussion
Resources
No resources available.
Session MO3.R7
MO3.R7.1: ASSESSMENT OF SENTINEL-2 SPATIAL AND TEMPORAL COVERAGE BASED ON THE SCENE CLASSIFICATION LAYER
Cristhian Sanchez, Francisco Mena, Marcela Charfuelan, Marlon Nuske, Andreas Dengel, German Research Center for Artificial Intelligence (DFKI), Germany
MO3.R7.2: MULTI-SOURCE LAND COVER CLASSIFICATION WITH AN INTEGRATED FEATURE SET IN MEKONG BASIN
Jian Yan, Xiaofei Mi, Aerospace Information Research Institute, Chinese Academy of Sciences, China; Zhigao Ma, Henan Polytechnic University, China; Hongbo Zhu, North China Institute of Aerospace Engineering, China; Zhenzhao Jiang, Yuke Meng, Henan Polytechnic University, China; Peizhuo Liu, Beihang University, China; Jian Yang, Xingfa Gu, Aerospace Information Research Institute, Chinese Academy of Sciences, China
MO3.R7.3: Multi-scale classification of Sentinel-2 images for land cover mapping using two-branch convolutional neural network
Azza Abidi, Dino Ienco, UMR-Tetis, Tunisia; Ali Ben Abbess, Imed Riadh Farah, ENSI, Tunisia
MO3.R7.4: A GLOBAL FOREST COVER MAP FOR YEAR 2020: PURPOSE, METHODOLOGY AND FIRST ASSESSMENT
Rene R. Colditz, Clement Bourgoin, Iban Ameztoy, European Commission, Italy; Astrid Verhegghen, ARHS Developments Italia S.R.L., Italy; Silvia Carboni, European Dynamics Luxembourg S.A., Italy; Baudouin Desclée, Frédéric Achard, European Commission, Italy
MO3.R7.5: RIPARIAN ZONES CLASSIFICATION USING SATELLITE/UAV SYNERGY AND DEEP LEARNING
Luan Casagrande, Roberto Hirata Junior, USP, Brazil
MO3.R7.6: CLASSIFYING FOREST DEGRADATION BY FIRE AND SELECTIVE LOGGING IN MATO GROSSO STATE, BRAZILIAN AMAZON, USING SENTINEL-2 MSI AND LANDSAT OLI SENSOR DATA
Yosio Edemir Shimabukuro, Egidio Arai, Gabriel Máximo da Silva, Valdete Duarte, Instituto Nacional de Pesquisas Espaciais, Brazil
MO3.R7.7: Intelligent Extraction of Erosion Gully from Satellite Images in Northeast China
Lirong Liu, Yun He, Zhengyu Luo, Yuhang Gan, Shucheng You, Ke Liu, Lei Du, Land Satellite Remote Sensing Application Center, MNR, China
Resources
No resources available.