Visual analysis in the identification of landing strips and their relation to mining areas in indigenous land and conservation units in the state of Mato Grosso
DOI:
https://doi.org/10.5016/geografia.v51i1.18487Abstract
The aim of this work was to identify and map the airstrips in the state of Mato Grosso, identifying those opened between 2016 and 2022, and relating them to the increase in mining and deforestation activities. The study covered areas of indigenous lands (IL), conservation units (CU) and their surroundings, using a visual interpretation of high-resolution PlanetScope images. The study period was the years 2016 and 2022. To identify and map non-approved landing strips, PlaneScope satellite images were used, with 4.77 meters of spatial resolution, obtained through the Google Earth Engine (GEE) database. From the visual interpretation of satellite images with high spatial resolution, a sharp increase in landing strips was identified. As a result, a total of 361 off-hand runways were found in 2016 and in 2022 there were 504 of these runways, therefore, an increase of 39.61%, compared to data from records from the National Civil Aviation Agency (ANAC). Only 35.31% of airstrips in 2022 are registered by ANAC, that is, approximately 65% of those identified in 2022 are not registered. Much of this increase was in areas bordering the ILs and CUs, being less than 10 km away from these protected territories.
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