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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE2.MM-8.1

USING THE GAF TRANSFORM AND MODIS TIME-SERIES TO PERFORM LANDCOVER CLASSIFICATION AND CHANGE DETECTION

Trienko Grobler, Stellenbosch University, South Africa; Waldo Kleynhans, University of Pretoria, South Africa; Brian Salmon, University of Tasmania, South Africa
Session:
Classification and Clustering of Satellite Image Time Series
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Wed, 14 Jul, 11:00-11:05 (UTC)
Wed, 14 Jul, 13:00-13:05 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 19:00-19:05 China Standard Time (UTC +8)
Wed, 14 Jul, 07:00-07:05 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Begüm Demir, Technische Universität Berlin and Trienko Grobler, Stellenbosch University
Session Manager:
Greg Hurlock
Presentation
Discussion
Resources
Session WE2.MM-8
WE2.MM-8.1: USING THE GAF TRANSFORM AND MODIS TIME-SERIES TO PERFORM LANDCOVER CLASSIFICATION AND CHANGE DETECTION
Trienko Grobler, Stellenbosch University, South Africa; Waldo Kleynhans, University of Pretoria, South Africa; Brian Salmon, University of Tasmania, South Africa
WE2.MM-8.2: A PARSIMONIOUS NEURAL NETWORK FOR THE CLASSIFICATION OF MODIS TIME-SERIES
Trienko Grobler, Stellenbosch University, South Africa; Waldo Kleynhans, University of Pretoria, South Africa; Brian Salmon, University of Tasmania, South Africa
WE2.MM-8.3: DEEP NEURAL NETWORKS FOR MAPPING INTEGRATED CROP-LIVESTOCK SYSTEMS USING PLANETSCOPE TIME SERIES
Henrique S. L. Almeida, Aliny A. Dos Reis, João P. S. Werner, University of Campinas – UNICAMP, Brazil; João F. G. Antunes, Embrapa Agricultural Informatics, Brazil; Liheng Zhong, Ant Group, China; Gleyce K. D. A. Figueiredo, University of Campinas – UNICAMP, Brazil; Júlio C. D. M. Esquerdo, Alexandre C. Coutinho, Embrapa Agricultural Informatics, Brazil; Rubens A. C. Lamparelli, Paulo S. G. Magalhães, University of Campinas – UNICAMP, Brazil
WE2.MM-8.4: FOREST TYPE MAPPING AT A REGIONAL SCALE BASED USING MULTITEMPORAL SENTINEL-2 IMAGERY
Jin Li, Leiguang Wang, Panfei Fang, Weiheng Xu, Qinling Dai, Southwest Forestry University, China
WE2.MM-8.5: INFLUENCE OF SAMPLE SIZE IN LAND COVER CLASSIFICATION ACCURACY USING RANDOM FOREST AND SENTINEL-2 DATA IN PORTUGAL
Daniel Moraes, Pedro Benevides, Hugo Costa, Francisco D. Moreira, Mário Caetano, Direção-Geral do Território, Portugal
WE2.MM-8.6: GOOGLE EARTH ENGINE FOR LANDSAT IMAGE PROCESSING AND MONITORING LAND USE/ LAND COVER CHANGES IN THE JOHOR RIVER BASIN, MALAYSIA
Chuen Siang Kang, Kasturi Devi Kanniah, Nazarin Ezzaty Mohd Najib, Universiti Teknologi Malaysia, Malaysia
WE2.MM-8.7: EVALUATION OF UNSUPERVISED DEEP CLUSTERING METHODS FOR CROP CLASSIFICATION USING SAR IMAGE SEQUENCES
Daliana Lobo Torres, Laura Elena Cué La Rosa, Pontifical Catholic University of Rio de Janeiro, Brazil; Dário Augusto Borges Oliveira, IBM Research, Brazil, Brazil; Raul Queiroz Feitosa, Pontifical Catholic University of Rio de Janeiro, Brazil
WE2.MM-8.8: EVALUATION OF TIME SERIES GAP-FILLING OF VENµS SATELLITE FOR LAND USE CLASSIFICATION
Daniel H. Shibuya, Gisela M. S. Pereira, Gleyce K. D. A. Figueiredo, University of Campinas – UNICAMP, Brazil; Ana C. dos S. Luciano, College of Agriculture “Luiz de Queiroz” -ESALQ, University of Sao Paulo -USP, Brazil; Rubens A. C. Lamparelli, University of Campinas – UNICAMP, Brazil; Guerric le Maire, University of Montpellier, France
WE2.MM-8.9: Spatial and temporal domain adaptation by optimal transport for mapping poplar plantations over large areas
Yousra Hamrouni, David Sheeren, INRAE, France

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