Alan R. Gillespie

TL;DR: Validation using airborne simulator images taken over playas and ponds in central Nevada demonstrates that, with proper atmospheric compensation, it is possible to meet the theoretical expectations of temperature/emissivity separation (TES), and ASTER's TES algorithm hybridizes three established algorithms.

TL;DR: In this article, a method was tested in the semiarid Owens Valley, California for measuring sparse vegetation cover using Landsat Thematic Mapper (TM) multispectral images, where fractions of vegetation, soils, and shading and shadow within the smallest resolution elements (30 × 30 m pixels) were computed by applying a mixing model based on laboratory and field reference spectra.

TL;DR: Two other methods, based on ratioing of data from different image channels, are discussed, that exaggerated color saturation without greatly modifying hue and were discussed that utilized principal-component analysis and HSI transformation of the image data.

TL;DR: In this paper, two conceptually different enhancements for the color display of multispectral images are discussed: the "decorrelation stretch", based on principal component (PC) analysis, and the "stretch" of 'hue -'saturation' - intensity (HSI) transformed data.

TL;DR: In this paper, the authors describe the theory, techniques, and applications of remote sensing in the geological sciences and present an integrated context for the field of geology, including the science of the interaction of light with surfaces, optical and digital processing of data in preparation for analysis; interpretive techniques; and the application of remotely sensed data to different disciplines within geology.