Margaret E. Gardner

TL;DR: In this article, a study was initiated in the Santa Monica Mountains to investigate the use of the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) for providing improved maps of chaparral coupled with direct estimates of canopy attributes (eg. biomass, leaf area, fuel load).

TL;DR: In this paper, the authors investigate the spectral complexity and unique spectral characteristics of urban environments using a comprehensive regional field spectral library of more than 4500 individual spectra, and their separability is systematically analyzed using the Bhattacharyya distance (B-distance) as a quantitative measure of spectral discrimination.

TL;DR: Significant limitations for current multispectral sensors were identified, where the location and broadband character of the spectral bands only marginally resolved the complex spectral characteristics of the urban environment, especially for built surface types.

TL;DR: In this article, the potential of three quasiphysical methods for estimating water content using remotely sensed Airborne Visible Infrared Imaging Spectrometer (AVIRIS) data of chaparral systems in the Santa Monica Mountains, California.

TL;DR: In this article, the authors compare Hyperion and AVIRIS to evaluate spaceborne monitoring potential of fire danger in Southern California chaparral, and show that Hyperion is capable of retrieving canopy water at 1200 nm, but demonstrates poor performance at 980 nm.