Cadastral maps of irrigated areas by center pivots in the State of Minas Gerais, using CBERS-2B/CCD satellite imaging

Abstract

Medium-resolution satellite images have been widely used for the identification and quantification of irrigated areas by center pivot. These areas, which present predominantly circular forms, can be easily identified by visual analyses of these images. In addition to identifying and quantifying areas irrigated by center pivot, other information that is associated to these areas is fundamental for producing cadastral maps. The goal of this work was to generate cadastral mapping of areas irrigated by center pivots in the State of Minas Gerais, Brazil, with the purpose of supplying information on irrigated agriculture. Using the satellite CBERS2B/CCD, images were used to identify and quantify irrigated areas and then associate these areas with a database containing information about: irrigated area, perimeter, municipality, path row, basin in which the pivot is located, and the date of image acquisition.3,781 center pivots systems were identified. The smallest area irrigated was 4.6 hectares and the largest one was 192.6 hectares. The total estimated value of irrigated area was 254,875 hectares. The largest number of center pivots appeared in the municipalities of Unaí and Paracatu, with 495 and 459 systems, respectively. Cadastral mapping is a very useful tool to assist and enhance information on irrigated agriculture in the State of Minas Gerais. KEYWORDS: irrigated agriculture, remote sensing, geographic information system (GIS), image visual interpretation. CADASTRO DAS ÁREAS IRRIGADAS POR PIVÔS CENTRAIS, EM MINAS GERAIS, UTILIZANDO IMAGENS DO SATÉLITE CBERS-2B/CCDRESUMO: As imagens de satélite de média resolução são bastante utilizadas para a identificação e quantificação de áreas irrigadas por pivô central. Essas áreas, por apresentarem formas predominantemente circulares, podem ser facilmente identificadas por meio de análises visuais dessas imagens. Além da identificação e quantificação das áreas irrigadas por pivô, a adição de outras informações complementares a estas áreas é fundamental para gerar mapas cadastrais. O objetivo deste trabalho foi gerar um mapeamento cadastral das áreas irrigadas por pivôs centrais no Estado de Minas Gerais com a finalidade de suprir a carência de informações relativas à agricultura irrigada. Utilizando imagens do satélite CBERS2B/CCD, foi feita a identificação e quantificação das áreas irrigadas e, em seguida, foi associado um banco de dados contendo informações sobre: a área irrigada, o perímetro, o município, a órbita-ponto, a bacia hidrográfica na qual o pivô está localizado e a data de aquisição da imagem. Foram identificados 3.781 sistemas de pivôs centrais.

Mapping of Central Pivot Irrigation in the Hydrographic Basin of the Goiano Tributaries of the Araguaia River

“…The evaluation of number and area irrigated by central pivot systems using geographic information systems and geoprocessing has also been reported in other studies. In the State of Minas Gerais for the cadastral mapping of the central pivot irrigated areas, 47% of the pivots in this study (1.828 systems) irrigate areas between 50 and 100 hectares and that expressive numbers (1.277) of pivots irrigate smaller areas and that few units irrigate areas larger than 150 hectares ( Ferreira et al, 2011) . In Rio Grande do Sul, it was reported the identification and quantification of areas irrigated by central pivot, by river basins and by municipalities in which the central pivots had an average size of 63.66 ha (Martins et al, 2016).…”

Detecção De Áreas Agrícolas Com Irrigação Por Pivô Central Usando Sensoriamento Remoto E Visão Computacional

“…Tal técnica se mostrou interessante, pois possibilita sistematizar o mapeamento dessas áreas e agregá-la a outras técnicas de geoprocessamento. Fonte: Elaborada pelos autores (2019).…”

“…A área de estudo encontra-se situada no interior do estado da Bahia, onde há o predomínio de irrigação por pivôs centrais (mais de 30.000 ha de área em municípios como Barreira e São Desidério), conforme aponta a Agência Nacional de Águas -ANA (2019).…”

Variation of Water Quality Along a River in Agricultural Watershed With Support of Geographic Information Systems and Multivariate Analysis

“…Spaceborne sensors and GIS techniques provide useful information such as land use and occupancy (Wrublack et al, 2013b), also watersheds delimitation, valuable for evaluation of environmental impacts and its source. The systematized information enables the integrated analysis of the study area, as well as processing large amounts of information through geographic information systems (Ferreira et al, 2011), therefore, becoming an essential tool, providing consistent information about the watershed and for driving strategies for management of natural resources.…”