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Assessment of rice fields by GIS/GPS-supported classification of MODIS data

机译:GIS / GPS支持的MODIS数据分类对稻田的评估

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The new Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite image offers a large choice of opportunities for operational applications. The 1-km Advanced Very High Resolution Radiometer (AVHRR) image is not suitable for retrieval of field level parameter and Landsat data are not frequent enough for monitoring changes in crop parameters during the critical crop growth periods. A methodology to map areas of paddy fields using MODIS, geographic information system (GIS) and global position system (GPS) is introduced in this paper. Training samples are selected and located with the help of GPS to provide maximal accuracy. A concept of assessing areas of potential cultivation of rice is suggested by means of GIS integration. By integration of MODIS with GIS and GPS technologies the actual areas of rice fields in 2002 have been mapped. The classification accuracy was 95.7% percent compared with the statistical data of the Agricultural Bureau of Zhejiang Province.
机译:新的中等分辨率成像光谱仪(MODIS)卫星图像为运营应用提供了多种选择。 1公里长的超高分辨率高分辨率辐射计(AVHRR)图像不适用于田间水平参数的检索,Landsat数据的频率不足以监视关键作物生长期间作物参数的变化。介绍了一种利用MODIS,地理信息系统(GIS)和全球定位系统(GPS)绘制稻田面积的方法。选择训练样本并借助GPS进行定位,以提供最大的准确性。通过GIS集成提出了一种评估水稻潜在栽培面积的概念。通过将MODIS与GIS和GPS技术集成,已绘制了2002年稻田的实际面积。与浙江省农业局的统计数据相比,分类准确率为95.7%。

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