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Modified soil adjusted vegetation index for the Death Valley regional flow system, Nevada and California, 1992

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The data set was created to determine areas of regional plant-cover information for use in the report "Ground-water discharge determined from estimates of evapotranspiration, Death Valley regional flow system, Nevada and California." The raster-based Modified Soil Adjusted Vegetation Index was derived from Landsat Thematic Mapper imagery data acquired during June 1992 for the Death Valley regional flow system. The index has been shown to increase the dynamic range of the vegetation signal while further minimizing the soil background influences, resulting in greater vegetation sensitivity as defined by a "vegetation signal" to "soil noise" ratio. The data set was used in determining phreatophyte boundaries for a ground-water evapotranspiration study and relative differences in vegetation density between discharge areas. Introduction The raster-based Modified Soil Adjusted Vegetation Index (MSAVI) was derived from Landsat Thematic Mapper (TM) imagery data acquired during June 1992 for the Death Valley regional flow system. Background and formulas of the MSAVI are detailed in Qi and others (1994). The MSAVI has been shown to increase the dynamic range of the vegetation signal while further minimizing the soil background influences, resulting in greater vegetation sensitivity as defined by a "vegetation signal" to "soil noise" ratio. The MSAVI is a type of Soil Adjusted Vegetation Index (SAVI). The SAVI includes a constant soil adjustment factor L. The MSAVI uses the Normalized Difference Vegetation Index (NDVI) and Weighted Difference Vegetation Index (WDVI) to compute the L value in the SAVI for each picture element or pixel. This is referred to as a self-adjusting L function in Qi and others (1994, p. 123). The slope of the soil line used in the equations was 1.06. This was used by Qi and others (1994, p. 123) and was determined to be an acceptable value for this study. Reviews The MSAVI image for 1992 was checked for consistency and accuracy during the data processing. Two external reviews were done. The reviewers were asked to check metadata and other documentation files for completeness and accuracy. Reviewers also were asked to check the topological consistency, tolerances, projections, and geographic extent.
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