1a.Objectives (from AD-416)
This project evaluates the potential value of the proposed hyperspectral/multispectral remote sensing platform known as HyspIRI for assessment of vegetation cover in arid lands; cover assessment is critical for understanding the surface water budget. Existing airborne remote sensing data will be used to simulate HypsIRI data and to assess how much better land cover monitoring could be with the newer remote sensing technology.
1b.Approach (from AD-416)
Methods will use existing MASTER and AVIRIS data collected over New Mexico and Oklahoma. Land surface temperatures, emissivities, and reflectances will be estimated. Cover change analysis using emissivity and narrowband visible-near infrared data will be performed using airborne and ancillary ASTER/MODIS data in conjunction with classification techniques. Spatial statistics will help assess resolution and scale effects. MASTER and ancillary data will be used for time scale analyses. Regression analyses will evaluate the significance of different thermal infrared bands.
During FY2011 we began a new NASA-funded project to simulate remote sensing data for a proposed NASA satellite called HyspIRI. Ten years (2001-2010) of airborne and satellite data were collected, processed and registered for study sites at Jornada and Sevilleta in New Mexico. These data will be integrated into 60-m resolution hyperspectral and thermal infrared images. This project will assess the benefits of new satellite technologies for the estimation of evapotranspiration over arid lands and thus is closely aligned with our base-funded remote sensing research. Most of the data collection and processing activities were performed on-site by project investigators at Arid Land Agricultural Research Center (ALARC) and monitored by personal contact and email. Other modeling activities were performed by a University of Arizona professor at Tucson, and were monitored by frequent visits, email, and phone calls.