Open AccessBurned Area Detection in the Brazilian Amazon using Spectral Indices and GEOBIA
Author(s) -
Thales Vaz Penha,
Thales Sehn Körting,
Leila María García Fonseca,
Celso Henrique Leite Silva Júnior,
Mikhaela Aloísia Jéssie Santos Pletsch,
Liana O. Anderson,
Fabiano Morelli
Publication year - 2020
Publication title -
rbc. revista brasileira de cartografia/revista brasileira de cartografia
Language(s) - English
Resource type - Journals
eISSN - 1808-0936
pISSN - 0560-4613
DOI - 10.14393/rbcv72n2-48726
Subject(s) - amazon rainforest , remote sensing , image resolution , cartography , environmental science , satellite , index (typography) , geography , computer science , physics , artificial intelligence , ecology , astronomy , world wide web , biology
Mapping refined burned areas (BA) in the Brazilian Amazon is still a challenge. The main difficulty of BA detection in large areas is the presence of cloud cover and water bodies. The use of different data sources of medium spatial resolution satellite images can provide a higher availability of cloud-free images. Besides that, it may decrease the uncertainties associated with coarse spatial resolution data (>250m), which can under or overestimate BA and hinder the detection of small BA patches ( 1.5) for both sensors. Our model allowed detecting more than 80% of small BA and also presented high Dice coefficient values (~0.70) with low omission and commission errors (0.22 and 0.32, respectively). Such combined approach corresponds to a novel contribution to the BA detection in the Brazilian Amazon region and for enhancing the operational product generation.