Validation of Spectral Moisture Indexes Using Landsat 8 OLI/TIRS Images in a Vertisol
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Abstract
Remote sensing is a geomatic tool that has been used to determine soil moisture, a very important physical property in studies related to agricultural production. Particularly, the Vertisol present distinctive characteristics to other groupings of soils in Cuba in relation to water retention and the change of their properties. The objective of the research was validating the use of spectral moisture indexes through Landsat 8 OLI/TIRS images in a Vertisol. An area under natural grass, sugarcane and secondary forest of the Provincial Sugarcane Research Station in Guaro, Holguín was chosen. Three georeferenced random sampling points were established for each land use up to a depth of 30.0 cm, for the determination of gravimetric moisture, which was related by means of linear regression analysis with the spectral indexes of moisture and the calculation of parameters for validation. The use of remote sensing showed in the thematic maps obtained from the estimation of moisture with the different spectral indexes, the presence of homogeneous zones and their spatial variability in the moisture state of the Vertisol under the three land uses. ENDWI, MSI and EMSI indexes indicated a better estimation in the statistics used for the validation of the values obtained by remote sensing and in situ sampling of moisture, according to research related to the subject.
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