使用连续的MODIS遥感数据监测东亚飞蝗的发生

Monitoring Occurrence of Oriental Migratory Locust Using Successive MODIS Data

以河北省黄骅市东北部的黄灶、南大港一带为研究区,基于5月下旬至6月上旬的连续MODIS遥感数据,通过数据的几何、辐射等校正,并使用8种植被指数,对其植被生长状况进行了监测,并探讨其在东亚飞蝗发生监测上的应用潜力.研究表明,通过MODIS数据的时间滤波可在一定程度上减少云层对遥感数据的影响,同时,基于经过时间滤波处理后的MODIS数据的植被指数NDVI的变化,可实现对研究区东亚飞蝗的发生进行监测.

Taking the region from Huangzao to Nandagang in Huanghua County of Heibei Province, China as the study area and using the successive MODIS data from late May to early June, the potential ability of MODIS image data in the monitoring the occurrence of oriental migratory locust is investigated following the data geometric rectification and radiant correction and using eight different kinds of vegetation index to monitor the vegetation growing condition. The results show that the process of temporal filtering for MODIS data has more or less function to reduce the negative impacts of cloud on the image. In addition, it is found that based on the variations of the vegetation index NDVI derived from the MODIS image data after the temporal filtering process it is capable to realizing the monitoring the occurrence of the locusts in the study area.