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

WE1.R10.8

Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data

Xinran Zhu, Jing Li, Qinhuo Liu, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, China
Session:
Remote Sensing for Forest and Vegetation Classification, Growth, and Dynamics
Track:
Land Applications
Presentation Time:
Wed, 30 Sep, 13:10-13:20 (UTC)
Wed, 30 Sep, 21:10-21:20 China Standard Time (UTC +8)
Wed, 30 Sep, 15:10-15:20 Central Europe Summer Time (UTC +2)
Wed, 30 Sep, 06:10-06:20 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Timothy Warner, West Virginia University and Haipeng Wang, Fudan University
Session Managers:
Marcos Paulo Ferreira and Emmett Ientilucci

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Session

WE1.R10.1: COMBINING TANDEM-X, SENTINEL-2 AND FIELD DATA FOR PREDICTION OF SPECIES-WISE STEM VOLUMES
Henrik Persson, Johan Fransson, Jonas Jonzén, Mats Nilsson, Swedish University of Agricultural Sciences, Sweden
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, Ecuador; Alfonso Zozaya, Universidad Tecnológica Metropolitana, Chile; Erik Lindquist, FAO, Italy
WE1.R10.3: INVESTIGATING THE LAGGED RELATIONSHIP BETWEEN SMAP SOIL MOISTURE AND LIVE FUEL MOISTURE IN CALIFORNIA, USA
Shenyue Jia, Seung Hee Kim, Chapman University, United States; Son Nghiem, NASA Jet Propulsion Laboratory, United States; Keun Hang Yang, Menas Kafatos, Chapman University, United States
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, Belgium; Vasco Mantas, Elsa Baltazar, University of Coimbra, Portugal; Nicolas Lewyckyj, Niels Souverijns, Flemish Institute for Technological Research, Belgium
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, South Africa; Abel Ramoelo, South African National Parks, South Africa; Samuel Adelabu, University of Free State, South Africa
WE1.R10.6: EXTRACTION OF DEGRADED STREET TREES BY BLOCKED VEGETATION INDEX
Mitsuharu Tokunaga, Kanazawa Institute of Technology, Japan
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, Germany; Justin du Toit, Grootfontein Agricultural Development Institute (GADI), South Africa; Jussi Baade, Andreas Kaiser, Marcel Urban, Christiane Schmullius, University of Jena, Germany; Christian Thiel, DLR Institute for Data Science, Germany; Christian Berger, University of Jena, Germany
WE1.R10.8: Generating spatial-temporal continuous LAI time-series from Landsat using neural network and meteorological data
Xinran Zhu, Jing Li, Qinhuo Liu, State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, China
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, China; Erkki Tomppo, Aalto University, Finland; Yrjö Rauste, VTT Technical Research Centre of Finland, Finland; Weimin Su, Hong Gu, Nanjing University of Science and Technology, China; Jaan Praks, Aalto University, Finland; Oleg Antropov, VTT Technical Research Centre of Finland, Finland
WE1.R10.10: HOURLY GPP ESTIMATION IN AUSTRALIA USING HIMAWARI-8 AHI PRODUCTS
Hirofumi Hashimoto, Weile Wang, Andrew Michaelis, ARC-CREST/NASA Ames Research Center, United States; Hideaki Takenaka, Japan Aerospace Exploration Agency, United States; Higuchi Atsushi, Chiba University, Japan; Ramakrishna Nemani, NASA Ames Research Center, United States
WE1.R10.11: EFFECTS OF TROPICAL FOREST DEGRADATION ON AMAZON FOREST PHENOLOGY
Ekena Rangel Pinagé, University of Technology Sydney, Australia; David M. Bell, USDA Forest Service, United States; Matthew Gregory, Oregon State University, United States; Ngoc Nguyen Tran, Hanoi University of Science and Technology, Viet Nam; Wenjie Zhang, Chinese Academy of Sciences, China; Alfredo Huete, University of Technology Sydney, Australia