WE2.R14.2
A MACHINE LEARNING AND DEEP LEARNING-BASED DOWNSCALING OF EVAPOTRANSPIRATION APPROACH USING HIGH-RESOLUTION LANDSAT DATA
Suresh Mondal, Arun Prasad K., Central University of Tamil Nadu, India
Session:
WE2.R14: Agriculture: Advanced Sensors for Ag-Monitoring VI Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Wed, 12 Aug, 11:15 - 11:30
Presentation
Discussion
Resources
No resources available.
Session WE2.R14
WE2.R14.1: Quality Assessment of Dual-Polarization C-Band SAR Data Influenced by Precipitation Based on Normalized Polarimetric Radar Vegetation Index
Jisung Chang, USDA ARS, United States
WE2.R14.2: A MACHINE LEARNING AND DEEP LEARNING-BASED DOWNSCALING OF EVAPOTRANSPIRATION APPROACH USING HIGH-RESOLUTION LANDSAT DATA
Suresh Mondal, Arun Prasad K., Central University of Tamil Nadu, India
WE2.R14.3: Hyperspectral ML Analysis for Smart Nutrient Estimation in Apple Leaves: The DEMETRA Field Campaign
Eleni Ioanna Koutsovili, Consiglio Nazionale delle Ricerche, Italy; Giovanni Lombardo, University of Messina, Italy; Hafsa El Horri, University of Pisa, Italy; Salvatore Maresca, Consiglio Nazionale delle Ricerche, Italy; Salvatore Serrano, Francesco Longo, University of Messina, Italy; Damiano Remorini, University of Pisa, Italy; Stefania Matteoli, Consiglio Nazionale delle Ricerche, Italy
WE2.R14.4: INTEGRATING SENTINEL‑1 SAR AND ARTIFICIAL NEURAL NETWORKS FOR SOIL MOISTURE ESTIMATION IN OLIVE ORCHARDS
Ana C. Teixeira, Pedro Marques, Matus Bakon, Anabela Fernandes-Silva, Domingos Lopes, Joaquim J. Sousa, University of Trás-os-Montes e Alto Douro, Portugal
WE2.R14.5: MULTI-SCALE OPTICAL REMOTE SENSING FOR DRYLAND SMALLHOLDER CROP TYPE CHARACTERIZATION
Margaret Wooten, William Wagner, Woubet Alemu, Qiang Zhou, Rodrigo Vieira Leite, Jordan Caraballo-Vega, Mark Carroll, Christopher Neigh, NASA Goddard Space Flight Center, United States
Contacts