1a.Objectives (from AD-416)
To develop algorithms relating remotely sensed canopy cover to basal crop coefficients and software for conversion of remote sensing images to crop coefficient maps.
1b.Approach (from AD-416)
Canopy ground cover of various crops from the west side of the San Joaquin Valley will be derived from Landsat and/or other multispectral images collected under acceptably clear weather conditions. Image analyses will be required to process these data. Correlation between the satellite based canopy cover data and basal crop coefficient will be made and algorithms established on crop specific bases. A prototype user interface program will be developed to facilitate the translation of the satellite imagery to canopy cover or crop coefficient maps based on the relationships and algorithms developed in the previous phases of the project. An economic analysis will also be carried out to compare cost and benefit of employing remote sensing for improving crop water use efficiency. Documents Grant with CSU-Seaside.
The ability to predict crop water demand using remotely sensed canopy information has the potential to account for season-to-season and field-to-field crop variability and to significantly enhance water use efficiency. Ground-truth measurements of crop canopy cover were correlated with satellite-based vegetation index values over the study area. The project is monitored by face-to-face progress meetings between ARS and the California State University investigator and regular email communications on the project progress.