1a. Objectives (from AD-416):
The proposed project is to develop a new remote sensing and biophysical modeling approach for detecting agricultural lands in semi-arid regions and quantifying effects of climate, crop and soil types, and irrigation efficiencies upon water consumed.
1b. Approach (from AD-416):
The research will implemented in four main parts: 1) Development of a new, integrated satellite and model-based approach for detecting irrigated agriculture in arid lands, 2) Development of derived satellite-based observations needed for implementation of a water-use biophysical model, 3) Refine, validate, and expand biophysical modeling results from multiple local sites in the United States and Israel to be applied over large scales, 4) Utilize results from step 3 to evaluate the implications for future agricultural production based on realistic scenarios for climate and land use changes.
3. Progress Report:
For the first year of the project, team members from the United States and Israel met and discussed the coordination for collecting remote sensing image data over Arizona, California, and Israeli agricultural sites. Remote sensing data, crop cover type, and irrigation amounts for U.S. and Israeli sites over two years have been collected, corrected for atmospheric effects, geo registered, and prepared for biophysical modeling inputs. This research relates to Objective 2 of the in-house project, “Develop and verify remote sensing methods, tools and decision support systems”.