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首页> 外文会议>The 28th International Symposium on Remote Sensing of Environment, Mar 27-31, 2000, Cape Town, South Africa >A CASE STUDY FOR CROP MONITORING AND HARVEST FORECAST IN BRAZIL
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A CASE STUDY FOR CROP MONITORING AND HARVEST FORECAST IN BRAZIL

机译：巴西作物监测与收成预报的案例研究

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摘要

The aim of this study was to develop and to test methodologies for monitoring and harvest of forecast for maize and soybean crops, in Rio Grande do Sul State, Brazil, using meteorological data, remote sensing and GIS techniques. The study was carried out during 1998/99, in a study area within a complete LANDSAT-5 scene, in the most important grain producing region of the State. Meteorological data were collected with a network of standard meteorological weather stations. The evolution of biomass was monitored through weekly NDVI images, from the NOAA-14 satellite. The yield estimation was made through agrometeorological models, in which the independent term is the relative water consumption calculated through the water balance. The cultivated area was estimated by the classification of the LANDSAT images taken in two different dates along the growth season. Data were integrated in a geographical information system to estimate the final crop production
机译：这项研究的目的是使用气象数据，遥感技术和GIS技术，在巴西南里奥格兰德州开发并测试监测和收获玉米和大豆作物预报的方法。这项研究是在1998/99年间，在该州最重要的谷物产区，在一个完整的LANDSAT-5场景内的研究区内进行的。气象数据是通过标准气象站网络收集的。通过每周来自NOAA-14卫星的NDVI图像监测生物量的演变。产量估算是通过农业气象模型进行的，其中独立项是通过水平衡计算的相对耗水量。通过对沿生长季节的两个不同日期拍摄的LANDSAT图像进行分类来估算耕地面积。将数据整合到地理信息系统中，以估算最终作物产量

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