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Session Proposal: Remote Sensing of Soil Processes (AGU25)

H124
Remote Sensing of Soil Processes

Session ID#: 249666

Session Description:
Understanding soil processes beyond the traditional Darcy scale is essential to advancing hydrological and biogeochemical process-representation at the landscape scale. Soil's critical zone plays an outsized impact on water-carbon-energy exchanges between land and atmosphere. Although, observational constraints severely restrict measurements of several components of the critical zone, remote sensing observations from satellites or uncrewed aerial vehicles provide valuable proxies for understanding large-scale soil processes. We invite studies on process understanding of the critical zone beyond the Darcy scale using remote sensing for (but not limited to):-Scaling of critical zone processes -Land-atmospheric interactions/feedback -Soil moisture dynamics and controls -Soil hydraulic parameterization -Soil carbon and nutrient cycle -Surface-rootzone connectivity -Soil salinity and microbiological activityWe invite applications of soil moisture observing satellites (SMAP, SMOS, SENTINEL-1, NISAR, etc.), multi/hyperspectral remote sensing (MODIS, LANDSAT, SENTINEL-2, EMIT, PRISMA, EnMAP, PACE, etc.), large-scale reanalysis products, CYGNSS, etc., for studying critical zone soil processes.
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • B - Biogeosciences
  • GC - Global Environmental Change
  • NH - Natural Hazards
Index Terms:

1838 Infiltration [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1865 Soils [HYDROLOGY]
1866 Soil moisture [HYDROLOGY]
Primary Convener:  Vinit Sehgal, Louisiana State University, Baton Rouge, LA, United States
Conveners:  Noemi Vergopolan, Rice University, Earth, Environmental and Planetary Sciences, Houston, United States and Andrew Feldman, University of Maryland College Park, College Park, United States
 
Remote Sensing-based Soil Moisture Estimation in the Irrigation District by Integrating Crop-Specific Differences through a Hybrid Deep Learning-based Approach (1876744)
Shuai Du1, Yuanyuan Zha2, Yuzhe Ji3, Yue Wang2, Xiangsen Xu2, Yuhan Liu2, Meijun Zheng2, Yang Zhang2, Shenshen Wu2 and Tiantian Yang4, (1)Wuhan University; University of Oklahoma, School of Civil Engineering and Environmental Science, Norman, United States, (2)Wuhan University, Wuhan, China, (3)Wuhan Univeristy, Wuhan, China, (4)University of Oklahoma Norman Campus, School of Civil Engineering and Environmental Science, Norman, United States
 
From soil water to soil water potential: challenges and opportunities across the soil-plant-atmosphere continuum (Invited) (1896471)
Julia K. Green, University of Arizona, Tucson, AZ, United States, Ashley Ballantyne, University of Montana, Missoula, MT, United States, Kimberly Novick, Indiana University, Paul H. O’Neill School of Public and Environmental Affairs, Bloomington, United States, Zachary Harwood Hoylman, University of Montana, Franke School of Forestry and Conservation, Missoula, United States, David Ketchum, University of Montana, Missoula, United States, Daniel Patrick Beverly, Indiana University Bloomington, Bloomington, IN, United States, Alex Crookshanks, Columbia University, New York, United States and Marcel G Schaap, University of Arizona, Department of Soil, Water and Environmental Science, Tucson, AZ, United States
 
Assessment of Soil Moisture Relationship with Gross Primary Production Using Remote Sensing (1906168)
Parvin Momenian, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, United States and Vinit Sehgal, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, LA, United States
 
Can we estimate (dynamic) active root zone depth using remote sensing data? (1933313)
Debasish Mishra, Texas A&M University College Station, College Station, TX, United States, Vinit Sehgal, Louisiana State University, School of Plant, Environmental and Soil Sciences, Baton Rouge, LA, United States and Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States
 
Landsat-based Multi-decadal Mapping of SOC Stocks Variability in Salt Marshes of Coastal Georgia (1933783)
Rajneesh Sharma, University of Georgia, Athens, GA, United States and Deepak R Mishra, University of Georgia, Center for Geospatial Research, Department of Geography, Athens, United States
 
Soil Moisture Estimation Using Hyperspectral Data: A Case Study Using FSSCat Mission (1937166)
Friday Ojonugwa Omada, Beihang University, Beijing, China, Puspendu Biswas Paul, National Oceanographic and Maritime Institute, Dhaka, Bangladesh and Shipa Rani Singha, University of Dhaka, Department of Meteorology, Dhaka, Bangladesh
 
Advancing the Understanding of Agroecosystem Soil Process with Integrated Earth Observations and Process-based Modeling (Invited) (1947267)
Kaiyu Guan1, Bin Peng2, Sheng Wang1, Zewei Ma2, Qu Zhou1 and Lexuan Ye1, (1)University of Illinois Urbana-Champaign, Agroecosystem Sustainability Center, Institute for Sustainability, Energy, and Environment, Urbana, United States, (2)University of Illinois Urbana-Champaign, Urbana, United States
 
Dynamic Regulation of Critical Soil Moisture Thresholds and Land-Atmosphere Interactions Across Biomes (1950364)
Ajinkya Khandare, Indian Institute of Technology Bombay, Mumbai, India, Vikram Chandel, Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India, Karthikeyan Lanka, Indian Institute of Technology Bombay, Center of Studies in Resource Engineering, Mumbai, India and Subimal Ghosh, Indian Institute of Technology Bombay, Department of Civil Engineering, Centre for Climate Studies, Mumbai, India
 
Estimation of Rootzone Soil Moisture Dynamics Under Indian Summer Monsoon Conditions (1953961)
Adigarla Yeswanth Naidu, Indian Institute of Technology Palakkad, Civil Engineering, Palakkad, India, Sarmistha Singh, Department of Civil Engineering, Indian Institute of Technology, Palakkad, Palakkad, India and Binayak Mohanty, Texas A&M University, Department of Biological and Agricultural Engineering, College Station, United States
 
Using InSAR to analyze subsidence and sinkage in the Blue & White Golf Course (1966348)
Maximiliano Marquez1, Rachel Housego2, Rebecca Bussard2 and Christelle Wauthier3, (1)University of Texas at El Paso, El Paso, TX, United States, (2)Pennsylvania State University Main Campus, Geosciences, University Park, United States, (3)The Pennsylvania State University, Department of Geosciences, University Park, United States
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