Affiliation:
1. Universidade Federal do Rio Grande do Sul, Brasil; Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia, Brasil
2. Universidade Federal do Rio Grande do Sul, Brasil
Abstract
ABSTRACT One of the most relevant activities of Brazilian economy is agriculture. Among the main crops in Brazil, rice is one of high relevance. The state of Rio Grande do Sul, in Southern Brazil, is responsible for 68.7% of domestic production (IBGE, 2013). The goal of this study was to develop a low-cost methodology with a regional scope to identify suitable areas for irrigated rice cropping in this state, using spectro-temporal behavior of vegetation index by means of MODIS images and HAND model. The rice-cropped area of this study was the southern half of the State. Using the HAND model, flood areas were mapped to identify irrigated rice cultivation. We used multi-temporal images of vegetation index from MODIS sensor, covering the period from August 2001 to May 2012. To assess the results, we used data collected in the fields and cropped area information from IBGE. The results showed that the proposed methodology was satisfactory, with Kappa 0.92 and global accuracy of 98.18%. As result, MODIS sensor data and flood areas delineation by means of HAND model generated the estimate irrigated rice area for the area of study.
Subject
Agricultural and Biological Sciences (miscellaneous)
Reference29 articles.
1. Mapping of summer crops in the state of Paraná, Brazil, through The 10-day spot vegetation NDVI composites;ARAÚJO G.K.D;Engenharia Agrícola,2011
2. Brasil em relevo
3. Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data;BROWN J.C.;Remote Sensing of Environment,2013
4. O uso de geotecnologias para estimativas da área plantada de arroz irrigado no estado do Rio Grande do Sul;D'ARCO E.,2007
5. Banco de produtos MODIS na base estadual brasileira,2014
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献