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DETECTING CENTER PIVOTS IN MATOPIBA USING HOUGH TRANSFORM AND WEB TIME SERIES SERVICE

Autor(es):
Rodrigues, M. L. ; Korting, T. S. ; de Queiroz, G. R. ; Sales, C. P. ; da Silva, L. A. R. ; IEEE
Número total de Autores: 6
Tipo de documento: Artigo Científico
Fonte: 2020 IEEE LATIN AMERICAN GRSS & ISPRS REMOTE SENSING CONFERENCE (LAGIRS); v. N/A, p. 6-pg., 2020-01-01.
Resumo

In the last decades, the Brazilian Cerrado biome has undergone major transformations due to the expansion of the agricultural frontier, The region called MATOPIBA acronym for states Maranhao, Tocantins, Piaui, and Bahia can be considered very attractive for agricultural expansion. The Cerrado predominates in the MATOPIBA region (91% of the area), also having small areas of the Amazon and Caatinga biomes to the northeast and east, respectively, In this work, we will present a study to identify center pivot irrigation systems in the MATOPIBA region using remote sensing images from Landsat-8 satellite. The methodology is based on the use of robust edge detection techniques such as Canny, Circular Hough Transform (CHT) and time series extraction through the Moderate Resolution Imaging Spectroradiometer (MODIS) product MOD13Q1 which has two vegetation indices NDVI and EVI. These time series will be used to filter the detected circles, seeking to eliminate the circles that do not correspond to center pivots. Our approach detected 80% of the center pivots mapped by the Brazilian National Water Agency (ANA) used as a knowledge base. The states with better detection were Piaui. and Bahia that showed the accuracy of 90% and 85% respectively, Maranhao obtained 57% and Tocantins 41%. (AU)

Processo FAPESP: 18/16221-0 - Gerenciamento de metadados de grandes volumes de dados de sensoriamento remoto
Beneficiário:Marcos Lima Rodrigues
Modalidade de apoio: Bolsas no Brasil - Programa Capacitação - Treinamento Técnico
Processo FAPESP: 17/24086-2 - Gerenciamento de metadados de grandes volumes de dados de sensoriamento remoto
Beneficiário:Thales Sehn Körting
Modalidade de apoio: Auxílio à Pesquisa - Regular