ANALYSIS OF THE RECOVERY OF A DEGRADED AREA THROUGH VEGETATION INDEX
DOI:
https://doi.org/10.56238/revgeov16n5-128Keywords:
Remote Sensing, Kruskal-Wallis, Mann-Kendall, NDVI, PRADAAbstract
Anthropogenic processes can often result in damage to the environment, reducing some of its properties such as the quality or productive capacity of natural resources. The recovery process seeks to rehabilitate a given degraded area to some form of sustainable environmental use. Remote sensing is an economical way to map degraded areas and monitor the recovery process. In this context, this work analyzes the evolution of the Degraded or Altered Area Recovery Project (PRADA) of the Água Limpa Environmental Park located in Campo Grande/MS. To this end, a statistical analysis was carried out on two NDVI time series derived from the TERRA-ASTER and Landsat 5/8 Satellites using the non-parametric Kruskal-Wallis test to verify whether there is an annual variation in the NDVI, whether there was a variation between the previous period and subsequent to the implementation of PRADA. Subsequently, the Dunn-Bonferroni post-hoc test was applied to verify the paired difference between the groups. Finally, the Mann-Kendall test was applied to check whether there is a trend, whether positive or negative, in the series of NDVI tests. The results obtained show that there is variation over time in the NDVI of both series. It was also found that the NDVI values are statistically different when comparing the period before and after the implementation of PRADA. The Landsat 5/8 series had a positive trend in NDVI values, showing the increase in plant biomass in the recovery area.
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