Slide Fifth
Slide Second
Slide Fourth
Slide Sixth
Slide Sixth
International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-11.8

UNCERTAINTIES IN THE S-SEBI MODEL TO ESTIMATE SURFACE ENERGY FLUXES OVER NATURAL GRASSLANDS IN BRAZIL

Pâmela Suélen Käfer, Nájila Souza da Rocha, Universidade Federal do Rio Grande do Sul, Brazil; Drazen Skokovic, Universitat de Valencia, Spain; Gustavo Pujol Veeck, Universidade Federal de Santa Maria, Brazil; Lucas Ribeiro Diaz, Savannah Tamara Lemos da Costa, Universidade Federal do Rio Grande do Sul, Brazil; Débora Regina Robérti, Universidade Federal de Santa Maria, Brazil; José Antonio Sobrino, Universitat de Valencia, Spain; Silvia Beatriz Alves Rolim, Universidade Federal do Rio Grande do Sul, Brazil
Session:
Remote Sensing for Forest and Vegetation Growth and Dynamics II
Track:
Land Applications
Presentation Time:
Fri, 16 Jul, 11:35-11:40 (UTC)
Fri, 16 Jul, 13:35-13:40 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:35-19:40 China Standard Time (UTC +8)
Fri, 16 Jul, 07:35-07:40 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
José Miguel Barrios, Royal Meteorological Institute of Belgium and Mengying Cao, guangdong
Session Manager:
Yinyi Lin
Presentation
Discussion
Resources
Session FR2.MM-11
FR2.MM-11.1: THE B-PARAMETER RELATING L-VOD TO SATELLITE-SCALE CROP PLANT WATER MAY NOT BE CONSTANT OVER A GROWING SEASON
Kati Togliatti, USDA Agricultural Research Service, United States; Colin Lewis-Beck, University of Iowa, United States; Victoria Walker, University of Montana, United States; Theo Hartman, Andy VanLoocke, Brian Hornbuckle, Iowa State University, United States
FR2.MM-11.2: DETECTING THE INFLUENCE OF HYDROCARBON SEEPAGE ON PLANTS: A SPECTROSCOPIC APPROACH
Adnan Ahmad, Arnab Kumar Pal, Shailesh Kumar Yadav, Archana M Nair, Indian Institute of Technology Guwahati, India
FR2.MM-11.3: MACHINE LEARNING APPROACH FOR TREE PLANTATION SUITABILITY MAPPING
Jojene Santillan, Arnaldo Gagula, Meriam Makinano-Santillan, Caraga State University, Philippines
FR2.MM-11.4: EVALUATION OF EIGHT THERMAL INFRARED KERNEL-DRIVEN MODELS USING LIMITED OBSERVATIONS
Xueting Ran, University of Electronic Science and Technology of China, China; Biao Cao, Boxiong Qin, Zunjian Bian, Yongming Du, Hua Li, Qing Xiao, Qinhuo Liu, Chinese Academy of Sciences, China
FR2.MM-11.5: REMOTE SENSING OF EVAPOTRANSPIRATION AND SURFACE HEAT FLUXES IN THE LSA-SAF PROGRAMME
José Miguel Barrios, Alirio Arboleda, Françoise Gellens-Meulenberghs, Royal Meteorological Institute, Belgium
FR2.MM-11.6: WEB-BASED MONITORING OF BORO RICE PRODUCTION USING IMPROVISED NDVI THRESHOLD OF MODIS MOD13Q1 and MYD13Q1 IMAGES
Kazi Kalpoma, Ahsanullah University of Science and Technology (AUST), Bangladesh; Ashiqur Rahman, Promiti Computers & Network (Pvt.) Ltd., Bangladesh
FR2.MM-11.7: LINKING SAP FLOW MEASUREMENTS WITH EARTH OBSERVATIONS
Enrico Tomelleri, Giustino Tonon, Free University of Bozen/Bolzano, Italy
FR2.MM-11.8: UNCERTAINTIES IN THE S-SEBI MODEL TO ESTIMATE SURFACE ENERGY FLUXES OVER NATURAL GRASSLANDS IN BRAZIL
Pâmela Suélen Käfer, Nájila Souza da Rocha, Universidade Federal do Rio Grande do Sul, Brazil; Drazen Skokovic, Universitat de Valencia, Spain; Gustavo Pujol Veeck, Universidade Federal de Santa Maria, Brazil; Lucas Ribeiro Diaz, Savannah Tamara Lemos da Costa, Universidade Federal do Rio Grande do Sul, Brazil; Débora Regina Robérti, Universidade Federal de Santa Maria, Brazil; José Antonio Sobrino, Universitat de Valencia, Spain; Silvia Beatriz Alves Rolim, Universidade Federal do Rio Grande do Sul, Brazil
FR2.MM-11.9: A DEEP LEARNING METHOD FOR DETECTING LEAF PHENOLOGY FROM PHENOCAM IMAGERY
Mengying Cao, Qinchuan Xin, Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, China

Quicklinks

Downloads

Programme guide