Examination of Near Real-time Rainfall Products and Satellite Greenness Indices for Estimating Patch and Landscape Forage Production
Title – Examination of Near Real-time Rainfall Products and Satellite Greenness Indices for Estimating Patch and Landscape Forage Production
Project Leader – Jay Angerer, Ph.D.
Activities –
- Examine correspondence of three different near real-time rainfall products to that of fixed-location automated weather stations located on a private ranch near Marathon, TX.
- Verify the ability of the PHYGROW forage simulation to accurately predict standing crop of herbaceous vegetation using the best rainfall product determined in #1 above as a driving variable.
- Verify the ability of the PHYGROW simulation model to accurately predict standing crop of herbaceous vegetation under grazing using rainfall from the product selected in #1 above as a driving variable.
- Determine the feasibility of using MODIS Normalized Difference Vegetation Index (NDVI) and/or Enhanced Vegetation Index (EVI) as a covariate in cokriging PHYGROW model standing crop to produce a landscape map of forage production on the ranch.