Spatial-temporal dynamics of biome Cerrado using different vegetation indexes

Abstract

The Cerrado ranks among the major biomes in Brazil and its vegetation can now be monitored through remote sensing, although environmental factors can affect the use of this technique. Thus, the possibility of conducting a study in a region with negligible anthropogenic intrusion may become a potential reference work in controlling the spatio-temporal alterations occurring in the Cerrado biome. This study aimed at assessing the spatio-temporal dynamics of the Brazilian Cerrado biome at different seasons of the year (wet and dry), employing various vegetation indices (NDVI, SAVI, EVI and LAI) drawn from the LANDSAT satellite images 8. The study itself was conducted in the Tadarimana Indigenous reserve situated in the State of Mato Grosso, Brazil. Extending across an area of 9952 hectares, the predominant vegetation cover in this reserve include the Savanna-Seasonal Contact (84.78%) and Savanna (15.22%). The data was analyzed using descriptive statistics and the best characterization of the vegetation was identified in the regions where higher variability was observed in the responses of the vegetation indices. The LAI revealed the best performance when the spatio-temporal dynamics of the Brazilian Cerrado biome was assessed. The wet season displayed the highest values among the different vegetation indices, despite the variances.

Assessing the water use efficiency of irrigated fruit crops in semi‐arid regions of Brazil using remote sensing and meteorological data

“…Both techniques estimate K c by using general vegetation indices related to vegetation cover, leaf area and transpiration. The normalized difference vegetation index (NDVI) is the most commonly used and can be calculated from two short‐wave bands typically measured by sensors aboard satellites: the red and the near‐infrared bands (Allen et al, 2007; José et al, 2019).…”