MONITORING ARID LAND COVER CHANGE WITH SIMULATED HYSPIRI DATA
2013 Annual Report
1a.Objectives (from AD-416):
The objective of the study is to develop robust techniques that will utilize hysperspectral and multispectral visible to thermal infrared data to estimate net radiation.
1b.Approach (from AD-416):
Research will investigate the benefits of incorporating hyperspectral visible-near infrared data to compensate for atmospheric effects on remote sensing image data and to utilize the modeled effects to refine estimates of atmospheric water vapor effects on thermal infrared data. The investigation will compare modeled shortwave and longwave radiation estimates for three scenarios: high resolution (15 m), moderate resolution (60 m), and coarse resolution (1km). Data for the investigation will be derived from existing airborne data collected over Jornada and Sevilleta, New Mexico from 1999 to 2003. Results from the study will be used to improve modeling of evapotranspiration.
This is the final report for this project which is a collaborative study with colleagues at the Universities of Valencia and Abacete in Spain and the University of Arizona. The objective was to evaluate benefits of a combined hyperspectral and multispectral remote sensing system for mapping evapotranspiration. The system consisted of airborne sensors MODIS ASTER Airborne Simulator ARC (MASTER) and Airborne Visible and Infrared Imaging Spectromenter - JPL (AVIRIS). This year, collaborating scientists evaluated data collected in 2001-2003 over the USDA Jornada Experimental Range and found that hyperspectral data provide a new capability to quantify water vapor in the atmosphere. This may lead to better algorithms for mapping net radiation on land. For the project life, the combined system was found to significantly improve land cover classification, land surface temperature and emissivity measurement, and evapotranspiration estimation over semi-arid rangeland. The project is directly related to Objective 2 of the in-house parent project, “Develop and verify remote sensing methods, tools, and decision support systems”. Two site visits, one from a Spanish scientist to the Arid Land Agricultural Research Center (ALARC) in Maricopa, Arizona, and one by an ARS scientist from Maricopa, Arizona, to the University of Valencia, Spain, were conducted to monitor research progress.