| Engenharia Agrícola | |
| Cadastral maps of irrigated areas by center pivots in the State of Minas Gerais, using CBERS-2B/CCD satellite imaging | |
| Elizabeth Ferreira2  Joice H. De Toledo1  Antonio A. A. Dantas1  Rafael M. Pereira1  | |
| [1] ,UFLA Departamento de Engenharia | |
| 关键词: irrigated agriculture; remote sensing; geographic information system (GIS); image visual interpretation; agricultura irrigada; sensoriamento remoto; sistema de informação geográfica (SIG); interpretação visual de imagens; | |
| DOI : 10.1590/S0100-69162011000400015 | |
| 来源: SciELO | |
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【 摘 要 】
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.
【 授权许可】
CC BY
All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202103040067839ZK.pdf | 340KB |
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