Temporal and spatial patterns in vegetation and atmospheric properties from AVIRIS
- Univ. of California, Santa Barbara, CA (United States). Dept. of Geography
- Univ. of Washington, Seattle, WA (United States). Dept. of Geological Sciences
Little research has focused on the use of imaging spectrometry for change detection. In this paper, the authors apply Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data to the monitoring of seasonal changes in atmospheric water vapor, liquid water, and surface cover in the vicinity of the Jasper Ridge, CA, for three dates in 1992. Apparent surface reflectance was retrieved and water vapor and liquid water mapped by using a radiative-transfer-based inversion that accounts for spatially variable atmospheres. Spectral mixture analysis (SMA) was used to model reflectance data as mixtures of green vegetation (GV), nonphotosynthetic vegetation (NPV), soil, and shade. Temporal and spatial patterns in endmember fractions and liquid water were compared to the normalized difference vegetation index (NDVI). The reflectance retrieval algorithm was tested by using a temporally invariant target.
- Sponsoring Organization:
- National Aeronautics and Space Administration, Washington, DC (United States); USDOE, Washington, DC (United States)
- OSTI ID:
- 323790
- Journal Information:
- Remote Sensing of Environment, Journal Name: Remote Sensing of Environment Journal Issue: 3 Vol. 62; ISSN RSEEA7; ISSN 0034-4257
- Country of Publication:
- United States
- Language:
- English
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