Application of Vegetation Index Derived from Satellite Imagery Analysis Vegetation Coverage in the Province of Loja, Ecuador
Keywords:
remote sensing, vegetation indices, vegetation cover, ASTER sensor, Landsat 7 ETM sensor, weather surfacesAbstract
The temporal and spatial variations of vegetation cover is an important indicator of ecosystem dynamics. Remote sensing has been used as a valuable tool for this purpose. Among the techniques using multispectral satellite data of vegetation indexes stand out. This study evaluated three vegetation indices as estimators of vegetation types in Loja Ecuador. The indices used were: Index NDVI Normalized Difference Vegetation, Water Stress Index MSI and Adjusted Vegetation Index Soil SAVI, applied to images Landsat 7 ETM + and ASTER. Furthermore, the relationship between precipitation and temperature indices was analyzed. The results show that the rates allowed discrimination of vegetation types; there were no signi cant differences between those in the two images. The MSI was slightly better match with the characteristics of hedges. Periods of temperature and precipitation employees and information gaps influenced the correlations with indices, no significant correlations were found.Metrics
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