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  2. Soil-adjusted vegetation index - Wikipedia

    en.wikipedia.org/wiki/Soil-Adjusted_Vegetation_Index

    The index is given as: = (+) (+ +) where L is a canopy background adjustment factor. An L value of 0.5 in reflectance space was found to minimize soil brightness variations and eliminate the need for additional calibration for different soils. The transformation was found to nearly eliminate soil-induced variations in vegetation indices. [1]

  3. Normalized difference vegetation index - Wikipedia

    en.wikipedia.org/wiki/Normalized_difference...

    A number of derivatives and alternatives to NDVI have been proposed in the scientific literature to address these limitations, including the Perpendicular Vegetation Index, [14] the Soil-Adjusted Vegetation Index, [15] the Atmospherically Resistant Vegetation Index [16] and the Global Environment Monitoring Index. [17]

  4. Vegetation index - Wikipedia

    en.wikipedia.org/wiki/Vegetation_index

    6- monthly NDVI average for Australia, 1 Dec 2012 to 31 May 2013 [1]. A vegetation index (VI) is a spectral imaging transformation of two or more image bands designed to enhance the contribution of vegetation properties and allow reliable spatial and temporal inter-comparisons of terrestrial photosynthetic activity and canopy structural variations.

  5. Enhanced vegetation index - Wikipedia

    en.wikipedia.org/wiki/Enhanced_vegetation_index

    2011 Enhanced vegetation index based on MODIS Terra data. The enhanced vegetation index (EVI) is an 'optimized' vegetation index designed to enhance the vegetation signal with improved sensitivity in high biomass regions and improved vegetation monitoring through a de-coupling of the canopy background signal and a reduction in atmosphere influences.

  6. Land cover maps - Wikipedia

    en.wikipedia.org/wiki/Land_cover_maps

    A supervised classification is a system of classification in which the user builds a series of randomly generated training datasets or spectral signatures representing different land-use and land-cover (LULC) classes and applies these datasets in machine learning models to predict and spatially classify LULC patterns and evaluate classification accuracies.

  7. Vegetation - Wikipedia

    en.wikipedia.org/wiki/Vegetation

    Primeval redwood forests, coastal mangrove stands, sphagnum bogs, desert soil crusts, roadside weed patches, wheat fields, cultivated gardens and lawns; all are encompassed by the term vegetation. The vegetation type is defined by characteristic dominant species, or a common aspect of the assemblage, such as an elevation range or environmental ...

  8. Category:Remote sensing - Wikipedia

    en.wikipedia.org/wiki/Category:Remote_sensing

    Soil-adjusted vegetation index; Spatiospectral scanning; Specim; Spectroradiometry for Earth and planetary remote sensing; Swathe; T. Tasseled cap transformation ...

  9. Thornthwaite climate classification - Wikipedia

    en.wikipedia.org/wiki/Thornthwaite_climate...

    Similarly to precipitation effectiveness, Thornthwaite also developed a T/E index to represent thermal efficiency. Featuring six climate provinces: Tropical, mesothermal, microthermal, taiga, tundra and frost. [3] [5] The T-E index is the sum of the 12 monthly T-E ratios, which can be calculated as: