WEP.P21.9

HYPERSALINE TIDAL FLATS DETECTION USING DEEP LEARNING OVER 37 YEARS OF LANDSAT DATA

Maria Luize Pinheiro, Federal University of Santa Catarina, Brazil; Luiz Cortinhas, Cesar Diniz, Solved - Solutions in Geoinformation, Brazil; Raian V. Maretto, University of Twente, Netherlands; Mateus Grellert, Federal University of Rio Grande do Sul, Brazil
Session:
WEP.P21: Remote Sensing of Wetlands II Poster
Track:
Land Applications
Location:
Poster Area 21
Presentation Time:
Wed, 19 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Session Co-Chairs:
Michael Merchant, U. Guelph and Masoud Mahdianpari, Memorial University of Newfoundland, NL, Canada
Session Managers:
Ge Jiang and HUMAIRA SANAM and Ayoti Banerjee and Srashti Singh
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Session WEP.P21
WEP.P21.7: AN AUTOMATIC SYSTEM FOR THE PROMPT DETECTION OF CYANOBACTERIAL BLOOMS AT THE DOÑANA NATIONAL PARK (SPAIN)
Gonzalo Martinez-Fornos, Marco Talone, Institut de Ciències del Mar ICM-CSIC, Spain; Joaquín Cobos, Ricardo Díaz-Delgado, Javier Bustamante, Estación Biológica de Doñana EBD-CSIC, Spain
WEP.P21.8: TRENDS OF WATER STRESS INDEX AND METEOROLOGICAL PARAMETERS FOR UPPER BIEBRZA WETLANDS
Wojciech Ciężkowski, Sebastian Sobótka, Jarosław Chormański, Warsaw University of Life Science—WULS, Poland
WEP.P21.9: HYPERSALINE TIDAL FLATS DETECTION USING DEEP LEARNING OVER 37 YEARS OF LANDSAT DATA
Maria Luize Pinheiro, Federal University of Santa Catarina, Brazil; Luiz Cortinhas, Cesar Diniz, Solved - Solutions in Geoinformation, Brazil; Raian V. Maretto, University of Twente, Netherlands; Mateus Grellert, Federal University of Rio Grande do Sul, Brazil
Resources
No resources available.