HIERARQUIZAÇÃO DA FAVORABILIDADE À RECOMPOSIÇÃO FLORESTAL COM USO DE GEOSPATIAL BIG DATA PARA REGIÕES DEGRADADAS DEVIDO A EXPLORAÇÃO ONSHORE DE PETRÓLEO E GÁS

Hierarchizing the favorability of foret recomposition using Geospatial Big Data for degraded regions due to onshore oil and gas exploration

Abstract

This work has as general objective to propose a methodology for evaluating favorability to the forest restoration for impacted or degraded areas by onshore oil exploration with the use of geospatial big data. For this purpose, data from digital models of elevation, land use and cover, hydrography and climate were used. It was possible to observe that the choice of areas for the realization of reforestation projects can be more assertive with the use of a model that represents the favorability to forest restoration in the region. Among the indicators used, land use, proximity to areas of forest formation and proximity to water bodies were considered to have the greatest impact on the hierarchy of regions more or less favorable to reforestation, while indicators of proximity to urban areas, geomorphology and intensity of exposure to the sun were considered to have the least impact. Finally, it is important to note that the methodology developed in this work can be replicated in any region and thus offer a subsidy for the more strategic choice of areas that are candidates for reforestation.