Cheng Qian, Huang Jing-feng, Wang Ren-chao
Institute of Agricultural Remote Sensing & Information Application, Zhejiang University, Hangzhou 310029, China.
J Zhejiang Univ Sci. 2004 Apr;5(4):412-7. doi: 10.1631/jzus.2004.0412.
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.
新型中分辨率成像光谱仪（MODIS）卫星图像为业务应用提供了大量机会。1公里分辨率的先进甚高分辨率辐射计（AVHRR）图像不适用于获取田间水平参数，而陆地卫星数据的获取频率不足以监测关键作物生长时期作物参数的变化。本文介绍了一种利用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。借助GPS选择并定位训练样本，以提供最大精度。通过GIS集成提出了评估水稻潜在种植面积的概念。通过将MODIS与GIS和GPS技术相结合，绘制出了2002年稻田的实际面积。与浙江省农业局的统计数据相比，分类精度为95.7%。
