【摘要】 利用气象卫星NOAA/AVHRR1、2通道遥感光谱资料在GPS和GIS的支持下,进行遥感绿度数字图像的目视解译和统计解译,计算绿度值概率密度。结合地面农情监测资料和同期气候资料,预测低纬高原(曲靖市为例)小春作物增减产趋势,建立遥感估产模型,结果表明1～3月是小春作物信息提取、长势动态监测的最佳时期,3月是小春作物产量预报的最佳时欺。针对卫星遥感资料短的特点,采用时间和空间结合扩大样本法效果较好。更多还原

【Abstract】 Using meteorological satellite NOAA/AVHRR channel 1 and channel 2 data to estimate yields of the spring crop in the Low- Latitude Altiplano (for example Qujing) was discussed in present paper. Based on GPS and GIS, remote sensing Ⅵ digital image was interpreted by watching and analyzed in statistics. Combined ground observation with simultaneous climate data, the increasing or decreasing trend of spring crop yields was predicted. The result shows that the period from January to March is more feasible to monitor and to pick up the crop growing information, and March is the best time to estimate yields of the spring crop. It also shows that the method of extending sample data by integrating time and space is efficient as satellite remote data is always in short term.更多还原