Classificação supervisionada das áreas de influência da mata ciliar nas barragens Goitá e Tapacurá mediante Spring

Nowadays, the riparian forests have been degraded by anthropic activities, contributing to silting, contamination and degradation of the environment. Law No 12,651 provides for the existence of a minimum area of preservation around water bodies, requiring spatial and temporal monitoring. This monitoring can be done through multiple GIS (Geographic Information Systems) applications available to evaluate the exchange rates in the coverage, including SPRING. In this sense, the objective of the study was to evaluate the performance of the SPRING software in the mapping and supervised classification of the areas under influence of the Goita and Tapacura reservoirs, using IKONOS and Google Earth images for the years 2009 and 2019. To carry out the classification, two areas of influence of the riparian forest surrounding the two dams located in the Capibaribe river basin were defined. Six land use and occupation classes were defined. The classification was performed using the maximum likelihood method, comparing the pixels of the image one to one, with a 99% rating threshold. The results determined the existence of 2,2975 km2 of riparian forest in the Goita dam, presenting greater change in the area of sugar cane with an increase of 4.01%. For the Tapacura dam, 1,8858 km2 of riparian forest was determined, with a greater change in the area of pastures with an increase of 8.43%. Both areas showed substantial increments in the Mata class (Goita: 23.41% and Tapacura: 17.83%). The use of the SPRING software allowed the supervised classification of the riparian forest in these dams, determining six important coverages.