Abstract

Abstract. Considered a conservation hotspot of the world biodiversity and a key region for the agriculture production in Brazil, the Cerrado biome has only 7.5% of its native vegetation as fully protected areas. Given this, in 2016 the Brazilian government started an official project to monitoring deforestation in the biome, through the so-called PRODES-Cerrado, responsible for mapping deforested areas from 2000 on, and DETER-Cerrado, responsible to generate deforestation alerts. Seeking to contribute with both context information and confidence levels for the polygons produced by these two monitoring systems, we developed the Deforestation Polygon Assessment Tool. This web-based platform process and presents several analysis for PRODES-Cerrado and DETER-Cerrado polygons using automatic assessments (e.g. BFastMonitor and Weights of Evidence), field validation and spatial analysis with key datasets (e.g. National Land Registry, Land-Use and Land-Cover maps). The platform implements an interactive map which allows a fast and comprehensive visualization of different layers, as well as a Deforestation Report at the polygon level, which gathers all the information about each polygon, providing greater reliability and understanding of the deforestation dynamics in the Cerrado. Future improvements in the platform will consider additional, spatial relations in order to assist government agencies to either prevent or reduce deforestation occurrences in each municipality in the Cerrado biome.

Highlights

  • Remote sensing is an important and consolidated instrument to monitoring the territory at different scales and through various sensor systems (Hansen, Loveland, 2012)

  • Regarding the PRODES-Cerrado, it was observed that approximately 51% of the polygons were in areas with susceptibility to large deforestation, the equivalent a 3,496 km2, and 75% of this area presented at least 50% of susceptibility

  • For the DETER-Cerrado only 14% of the polygons were located in regions with susceptibility to large deforestation, which comprised a total area of 2,855 km2 and representing approximately 54% of the all area encompassed by the alerts

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Summary

INTRODUCTION

Remote sensing is an important and consolidated instrument to monitoring the territory at different scales and through various sensor systems (Hansen, Loveland, 2012). In 2016 the Brazilian government started a official project to monitoring deforestation in this biome, through the so-called PRODESCerrado and DETER-Cerrado systems. As part of the same project, the Image Processing and GIS Laboratory at the Federal University of Goias-LAPIG/UFG developed the Deforestation Polygon Assessment Tool-DPAT5, a web-based platform for estimating the uncertainty of polygons produced by PRODES-Cerrado and DETER-Cerrado, using independent and automated methods. The platform presents, for polygons detected after 2015, a context information (e.g. municipality and rural property) and a confidence level, established by the complementary approaches: field validation; sampling validation; and automatic deforestation assessment. A concluding remarks is presented about the potential uses of DPAT and the features that will be implemented in the future

FIELD VALIDATION
AUTOMATIC DEFORESTATION ASSESSMENT
BFastMonitor
Weights of Evidence
DEFORESTATION POLYGON ASSESSMENT TOOL
Software Architecture
Datasets
RESULTS AND DISCUSSIONS
Deforestation time-series
Deforestation ranking by cities
CONCLUDING REMARKS
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