摘要
论文基于时相和波谱信息,利用MODIS数据监测了北京冬小麦的种植面积。首先,基于地形高度对地物光谱反射值的影响,借助DEM数据对研究区域进行划分。其次,在分析并提取北京地区主要农作物时间谱曲线特征的基础上,设计决策函数,成功提取了北京地区冬小麦的种植面积。最后,比较并分析了非遥感数据对监测精度的影响。研究结果表明,(1)时相信息可以极大的提高农作物种植面积的监测精度。(2)辅助数据的利用,使决策函数的设计更具有针对性,监测结果更可靠。(3)多源多时相遥感数据在农作物种植面积的提取中具有明显的技术优势和重要的应用潜力。
In the paper, Beijing winter wheat planting area was extracted by means of MODIS based on the temporal and spectrum information. Firstly, considering the effects of topography on crop growth stages, the study district was divided by DEM ancillary data. Secondly, on the basis of analyzing and distilling the temporal characteristic of winter wheat NDVI, the decision function was designed and Beijing winter wheat planting area was extracted successfully. Thirdly, the author compared and analyzed the effect of ancillary data on the monitoring result precision. The result indicates （1） the temporal information can improve crop classification precision greatly （2） The decision function design is more pertinent and classification result is more reliable when auxiliary data is utilized. （3） Multi-source and multi-temporal remotely sensed data have obvious technological advantage and important applied potentiality for extraction of planting information of crops.
出处
《遥感信息》
CSCD
2005年第6期49-51,共3页
Remote Sensing Information
基金
国家863项目(2003AA209040)
北京市自然基金项目(6021002)资助
