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2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
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Session Detail
Session Title
WE1.R10: Remote Sensing for Forest and Vegetation Classification, Growth, and Dynamics
Presentation Mode
Virtual
Session Time
Wed, 30 Sep, 12:00 - 14:00 UTC
Wed, 30 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Wed, 30 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Wed, 30 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Chairs
Timothy Warner, West Virginia University and Haipeng Wang, Fudan University
WE1.R10.1:
COMBINING TANDEM-X, SENTINEL-2 AND FIELD DATA FOR PREDICTION OF SPECIES-WISE STEM VOLUMES
Henrik Persson;
Swedish University of Agricultural Sciences
Johan Fransson;
Swedish University of Agricultural Sciences
Jonas Jonzén;
Swedish University of Agricultural Sciences
Mats Nilsson;
Swedish University of Agricultural Sciences
WE1.R10.2:
A MULTI-SENSOR APPROACH TO SEPARATE PALM OIL PLANTATIONS FROM FOREST COVER USING NDFI AND A MODIFIED PAULI DECOMPOSITION TECHNIQUE
Erith Muñoz;
FAO
Alfonso Zozaya;
Universidad Tecnológica Metropolitana
Erik Lindquist;
FAO
WE1.R10.3:
INVESTIGATING THE LAGGED RELATIONSHIP BETWEEN SMAP SOIL MOISTURE AND LIVE FUEL MOISTURE IN CALIFORNIA, USA
Shenyue Jia;
Chapman University
Seung Hee Kim;
Chapman University
Son Nghiem;
NASA Jet Propulsion Laboratory
Keun Hang Yang;
Chapman University
Menas Kafatos;
Chapman University
WE1.R10.4:
APPLICATION OF RANDOM FOREST CLASSIFICATION TO DETECT THE PINE WILT DISEASE FROM HIGH RESOLUTION SPECTRAL IMAGES
Marian-Daniel Iordache;
Flemish Institute for Technological Research
Vasco Mantas;
University of Coimbra
Elsa Baltazar;
University of Coimbra
Nicolas Lewyckyj;
Flemish Institute for Technological Research
Niels Souverijns;
Flemish Institute for Technological Research
WE1.R10.5:
TESTING AND COMPARING THE APPLICABILITY OF SENTINEL-2 AND LANDSAT 8 REFLECTANCE DATA IN ESTIMATING MOUNTAINOUS HERBACEOUS BIOMASS BEFORE AND AFTER FIRE USING RANDOM FOREST MODELLING
Mmathapelo Semela;
University of Free State
Abel Ramoelo;
South African National Parks
Samuel Adelabu;
University of Free State
WE1.R10.6:
EXTRACTION OF DEGRADED STREET TREES BY BLOCKED VEGETATION INDEX
Mitsuharu Tokunaga;
Kanazawa Institute of Technology
WE1.R10.7:
A MULTI-SCALE REMOTE SENSING APPROACH TO UNDERSTANDING VEGETATION DYNAMICS IN THE NAMA KAROO-GRASSLAND ECOTONE OF SOUTH AFRICA
Kuhle Ndyamboti;
University of Jena
Justin du Toit;
Grootfontein Agricultural Development Institute (GADI)
Jussi Baade;
University of Jena
Andreas Kaiser;
University of Jena
Marcel Urban;
University of Jena
Christiane Schmullius;
University of Jena
Christian Thiel;
DLR Institute for Data Science
Christian Berger;
University of Jena
WE1.R10.8:
GENERATING SPATIAL-TEMPORAL CONTINUOUS LAI TIME-SERIES FROM LANDSAT USING NEURAL NETWORK AND METEOROLOGICAL DATA
Xinran Zhu;
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Jing Li;
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences
Qinhuo Liu;
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences
WE1.R10.9:
PREDICTING GROWING STOCK VOLUME OF BOREAL FORESTS USING VERY LONG TIME SERIES OF SENTINEL-1 DATA
Shaojia Ge;
Nanjing University of Science and Technology
Erkki Tomppo;
Aalto University
Yrjö Rauste;
VTT Technical Research Centre of Finland
Weimin Su;
Nanjing University of Science and Technology
Hong Gu;
Nanjing University of Science and Technology
Jaan Praks;
Aalto University
Oleg Antropov;
VTT Technical Research Centre of Finland
WE1.R10.10:
HOURLY GPP ESTIMATION IN AUSTRALIA USING HIMAWARI-8 AHI PRODUCTS
Hirofumi Hashimoto;
ARC-CREST/NASA Ames Research Center
Weile Wang;
ARC-CREST/NASA Ames Research Center
Andrew Michaelis;
ARC-CREST/NASA Ames Research Center
Hideaki Takenaka;
Japan Aerospace Exploration Agency
Higuchi Atsushi;
Chiba University
Ramakrishna Nemani;
NASA Ames Research Center
WE1.R10.11:
EFFECTS OF TROPICAL FOREST DEGRADATION ON AMAZON FOREST PHENOLOGY
Ekena Rangel Pinagé;
University of Technology Sydney
David M. Bell;
USDA Forest Service
Matthew Gregory;
Oregon State University
Ngoc Nguyen Tran;
Hanoi University of Science and Technology
Wenjie Zhang;
Chinese Academy of Sciences
Alfredo Huete;
University of Technology Sydney