首页> 外文会议>International Society for Photogrammetry and Remote Sensing Commission Technical Commission Symposium >NDVI (MODIS SENSOR) RESPONSE TO INTERANNUAL VARIABILITY OF RAINFALL AND EVAPOTRANSPIRATION IN A SOYBEAN PRODUCING REGION, SOUTHERN BRAZIL
【24h】

NDVI (MODIS SENSOR) RESPONSE TO INTERANNUAL VARIABILITY OF RAINFALL AND EVAPOTRANSPIRATION IN A SOYBEAN PRODUCING REGION, SOUTHERN BRAZIL

机译:NDVI(MODIS传感器)响应南巴西南部生产区的降雨和蒸散率的依赖变异性

获取原文

摘要

This study aimed 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 Brazil. Landsat TM 5 and 7 images were selected for analyzing the spatial soybean field distribution for 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 fields ("pure-pixels") based on the soybean maps obtained with the Landsat TM images. The next step was to extract the NDVI values for these soybean pure-pixels and to analyze the NDVI spectral curves considering the soybean phenology. Data from nearby meteorological stations 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 evapotranspiration values, the water balance was calculated for each year, and for the same period covering the entire soybean growing season. Anomaly 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 evapotranspiration 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 according to rainfall anomaly values. Statistical analyses showed that actual 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.
机译:本研究旨在评估大豆标准化差异植被指数 - NDVI(MODIS传感器,Terra Satellite)对巴西南部南部帕拉纳州的一个地区的降雨和蒸发的际变异性。选择Landsat TM 5和7图像,用于分析从2000/01到2006/07的区域的空间大豆田分布,并识别大豆领域。然后,我们确定了基于用Landsat TM图像获得的大豆映射的大豆映射(“纯像素”)的175像素(250×250m)。下一步是提取这些大豆纯像素的NDVI值,并考虑大豆候选的NDVI光谱曲线。获得附近气象站的数据,并用于计算分布在坎波尔吉莱斯地区的5个地点的大豆田的土壤水平。为了获得实际的蒸散值,每年计算水平衡,同时涵盖整个大豆生长季节。每年计算异常值,以验证持续的降雨变异性。线性回归模型在NDVI和i)之间调整降雨量和II)所有时间序列的实际蒸散。允许鉴定大豆生长季节(11月至3月)和该地区的干燥季节,允许分析NDVI值的演变,根据降雨异常值。统计分析表明,实际蒸散术语与大豆NDVI有关降雨的最佳协议,可能是由于这种变量整合了整个研究期间降雨,温度和土壤含水量的信息。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号