IEEE IGARSS 2021 || Brussels, Belgium || July 12–14, 2021 • Physical

TH4.O-6: Mapping, Monitoring and Modelling Savannah Vegetation with Earth Observation II

Thu, 15 Jul, 14:40 - 16:10 (UTC)
Thu, 15 Jul, 16:40 - 18:10 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 22:40 - 00:10 China Standard Time (UTC +8)
Thu, 15 Jul, 10:40 - 12:10 Eastern Daylight Time (UTC -4)

Session Co-Chairs: Thomas Higginbottom, University of Manchester and Elias Symeonakis, Manchester Metropolitan University

Session Manager: Shahla Yadollahi

Track: Invited Sessions

TH4.O-6.1: MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION

Wim Verbruggen, Hans Verbeeck, Ghent University, Belgium; Stéphanie Horion, University of Copenhagen, Denmark; Niels Souverijns, Flemish Institute for Technological Research (VITO), Belgium; Guy Schurgers, University of Copenhagen, Denmark

TH4.O-6.3: ESTIMATING SOUTH AFRICAN MAIZE BIOMASS USING INTEGRATED HIGH-RESOLUTION UAV AND SENTINEL 1 AND 2 DATASETS

Laven Naidoo, Russell Main, Moses Cho, Sabelo Madonsela, Nobuhle Majozi, Council for Scientific and Industrial Research (CSIR), South Africa

TH4.O-6.4: MONITORING SAVANNA VEGETATION PHENOLOGY USING ADVANCED HIMAWARI IMAGER

Xuanlong Ma, Lanzhou University, China; Ngoc Nguyen Tran, Song Leng, Qiaoyun Xie, Alfredo Huete, University of Technology Sydney, Australia

TH4.O-6.5: WHICH PIXEL IS A FOREST? TREE CROWN DELINEATION USING VHR IMAGES TO ESTIMATE TREE COVER IN LANDSAT BASED CLASSIFICATION

Banchero Santiago, Verón Santiago, de Abelleyra Diego, Ferraina Antonella, Propato Tamara, Gómez Taffarel María Cielo, INTA, Argentina; Dieguez Hernán, Universidad de Buenos Aires, Argentina

TH4.O-6.6: MACHINE LEARNING CLASSIFICATION OF PLANT FUNCTIONAL TYPES IN SOUTHERN AFRICAN SAVANNAHS USING WORLDVIEW-3 IMAGERY

Paul Aplin, Kwame Awuah, Edge Hill University, United Kingdom; Christopher Marston, Centre for Ecology and Hydrology, United Kingdom; Ian Powell, Edge Hill University, United Kingdom; Izak Smit, Kruger National Park, South Africa

TH4.O-6.1: MAPPING SAHELIAN ECOSYSTEM VULNERABILITY TO VEGETATION COLLAPSE: VEGETATION MODEL OPTIMIZATION

TH4.O-6.3: ESTIMATING SOUTH AFRICAN MAIZE BIOMASS USING INTEGRATED HIGH-RESOLUTION UAV AND SENTINEL 1 AND 2 DATASETS

TH4.O-6.4: MONITORING SAVANNA VEGETATION PHENOLOGY USING ADVANCED HIMAWARI IMAGER

TH4.O-6.5: WHICH PIXEL IS A FOREST? TREE CROWN DELINEATION USING VHR IMAGES TO ESTIMATE TREE COVER IN LANDSAT BASED CLASSIFICATION

TH4.O-6.6: MACHINE LEARNING CLASSIFICATION OF PLANT FUNCTIONAL TYPES IN SOUTHERN AFRICAN SAVANNAHS USING WORLDVIEW-3 IMAGERY

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