FRP.P16.2

IMPROVED WATER CHLOROPHYLL-A RETRIEVAL METHOD BASED ON MIXTURE DENSITY NETWORKS USING IN-SITU HYPERSPECTRAL REMOTE SENSING DATA

Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, KNT University of Technology, Iran; Amir Masoud Chegoonian, University of Waterloo, Canada; Ali Mehran, San Jose State University, United States; Mohsen Jafari, Shiraz University, United States
Session:
FRP.P16: Remote Sensing of Inland Water Quantity and Quality Poster
Track:
Land Applications
Location:
Poster Area 16
Presentation Time:
Fri, 21 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Co-Chairs:
Meng Xu, China and Ronny Hänsch, German Aerospace Center
Session Managers:
Srashti Singh and NIMA ESMAEILZADEH and Suhaimee Buya and sunni kanta prasad kushwaha
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Session FRP.P16
FRP.P16.1: MONITORING SURFACE WATER CONTENT AND BIOGEOCHEMICAL RESPONSES IN THE AREA SURROUNDING RIVER MOUTHS USING MULTI-SOURCE SATELLITE REMOTE SENSING
Youngwook Kim, United Arab Emirates University, United Arab Emirates; Ji-Hyung Park, Ewha Womans University, South Korea; Jinyang Du, University of Montana, United States
FRP.P16.2: IMPROVED WATER CHLOROPHYLL-A RETRIEVAL METHOD BASED ON MIXTURE DENSITY NETWORKS USING IN-SITU HYPERSPECTRAL REMOTE SENSING DATA
Alireza Taheri Dehkordi, Mohammad Javad Valadan Zoej, KNT University of Technology, Iran; Amir Masoud Chegoonian, University of Waterloo, Canada; Ali Mehran, San Jose State University, United States; Mohsen Jafari, Shiraz University, United States
FRP.P16.3: A PRELIMINARY ASSESSMENT OF ZY1-02E’S HYPERSPECTRAL DATA APPLICATION FOR INLAND WATER CLARITY RETRIEVAL
Yao Liu, Lina Dong, Zhiwei Liu, Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of P.R.China, China
FRP.P16.4: CYANOBACTERIA RISK AND WATER QUALITY ASSESSMENT IN INLAND GŁUSZYŃSKIE LAKE POLAND USING ASD 3 FIELDSPEC
Wojciech Ciężkowski, Magdalena Frąk, Ignacy Kardel, Wiktoria Pełka, Jarosław Chormański, Warsaw University of Life Science, Poland
FRP.P16.5: CLASSIFYING AND MAPPING GROUNDWATER LEVEL VARIATIONS USING MACHINE LEARNING MODELS
Su Min Yu, Jae Young Seo, Bo Ram Kim, Sang-Il Lee, Dongguk University, South Korea
FRP.P16.6: IMPROVED INSAR SBAS INVERSION FOR GROUNDWATER OBSERVATION: TROPOSPHERIC NOISE SEPARATION AND BAYESIAN UNCERTAINTY QUANTIFICATION
Zel Hurewitz, Adrian Borsa, University of California San Diego, United States
FRP.P16.7: SEASONAL LAKE SURFACE TEMPERATURE TRENDS IN THE ADIRONDACKS VIA REMOTE SENSING
Carolien Mossel, Marzi Azarderakhsh, Abdou Bah, Reginald Blake, Hamidreza Norouzi, New York City College of Technology (CUNY), United States
Resources
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