期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 7B
页码：219-224
出版社：Copernicus Publications
摘要：This study ai med at evaluating the response of the Normalized Difference Vegetation Index - NDVI (MODIS sensor, TERRA satellite) of soybean to interannual variability of rainfall and evapotranspiration in Campos Gerais, a region of the state of Parana in southern Brazi l. Landsat TM 5 and 7 images were selected for analyzing the spatial soybean field distribution f or the region from 2000/01 to 2006/07 and to identify soybean fields. We then identified 175 pixels (250 x 250m) that contained only soybean f i elds ("pure - pix els") based on the soybean maps obtained with the Landsat TM images. The next step was to extract th e NDVI values for these soybean pure - pixels and to analyze the NDVI spectral curves consider ing the soybean phenology. Data from nearby meteorological stati ons were obtained and used to calculate the soil water balance for soybean fields in 5 locations distributed in the Campos Gerais region. To obtain actual evapotranspir ation values, t he water balance was calculated for each year, and for the same period co vering the entire soybean growing season . A nomal y values were calculated for each year to verify the interannual rainfall variability . Linear regression models were adjusted between NDVI and i) rainfall and ii) actual evapotran s piration for all time series . Analysis of the evolution of NDVI values allowed identifying the soybean growing season (November to March) and also the dry season for this region accor ding to rainfall anomal y values . S tatistical analyses showed that a ctual evapotranspiration presented best agreement with soybean NDVI in relation to rainfall, probably due to the fact that this variable integrates information of rainfall, temperature and soil water holding capacity for the entire study period
关键词：soybean(Glycine Max;L. Merr); NDVI; remote sensing; water balance; GIS
