New Cal/Val Sensor from JPL (from Simon J. Hook) on Oklahoma Winter wheat site (USDA, Pradeep Wagle). We are using LST data from the sensor to compare aganist Landsat, Hydrosat, ECOSTRESS LST, as well as inverted LST from energy balance models.
Supported by OK NASA EPSCoR
Hydrosat ET modeling
We are modeling ET using Hydrosat data across California vineyards and Oklahoma.
1. ET/Irrigation monitoring in Peru (Funded by UNSA, Co-PI) - Global Change and Human Health Institute (GCHHI)
Some farms in Peru
Mapping ET in Arequipa, Peru using a two source energy balance model in Google Earth Engine
2. Monitoring tillage practices and water use efficiency across winter wheat farms in Oklahoma (Funded by USDA NIFA, PI)
We are mapping tillage and no till winter wheat farms across all of Oklahoma and linking that with water use efficiency. We are capturing both water use and carbon uptake.
3. E-RISE: Center for Grassland Ecosystem Forecasting (Funded by NSF)
We are running two-soruce energy balance models across all grasslands in Oklahoma.
4. A novel vegetation water use and efficiency monitoring tool to support land and water management decision making and sustainable agroecosystem production (Funded by USGS, PI)
The tool aims to provide real-time data on plant water consumption and efficiency using high-resolution satellite data and advanced computer models.
5. CropMap (Funded by NSF SBIR/STTR, co-PI)
CropMAP (Crop Ecosystem Monitoring, Analysis, and Prediction) is an integrated tool for crop ecosystem monitoring, analysis, and prediction. The project aims to to identify the economic impact of using CropMap information in the production of sesame and sunflowers for oilseed production.
6. NASA EPSCoR - Thermal Remote Sensing and ET model uncertainties in Oklahoma (Funded by NSASA EPSCoR, PI)
We are advancing the surface energy balance algorithms to map ET.
7. USGS 104b Water Center- High-resolution ET modeling (Funded by USGS, PI)
8. Mapping ET across rice farms in Bangladesh (Funded by AidData)
Other ongoing but Unfunded Projects
Improving near real time crop water stress monitoring across the US (multi sensor fusion combining Sentinel-2 and Landsat datasets)
ET from new sensors: Hydrosat, Planet, NISAR, etc.
ET/crop water demand forecasting
Deep learning/ML to design ensemble ET modeling framework (multiple ET/hydrological and machine learning models)
Impact of environmental changes on farming decisions and crop production
Environmental and socioeconomic Impact Assessments combining geospatial, field, survey, and climate datasets
Bhattarai, N., Lobell, D.B., Balwinder-Singh, Fishman, R., Kustas, W.P., Pokhrel, Y. and Jain, M., 2023. Warming temperatures exacerbate groundwater depletion rates in India. Science Advances, 9(35), p.eadi1401.
Media: NYTimes, The Hindu, The Times of India, The Economic Times, The Weather Channel