Study On Remote Sensing Mechanism And Methods For East Asian Migratory Locust Hazard Monitoring

The major economy of our country is agriculture. The locust hazard is three main agriculture hazards after floods and droughts. Once it breaks out it is covered on kilometers of lands in red color and very difficult to control. In recent years, because of the global warming and continuous dry climate East Asian Migratory Locust hazards broke out in 160 counties of 12 provinces in China involving 2,000,000 hectares agriculture lands. In February of 2002 National Planning Council announced a project of application of the high tech-knowledge to control the East Asian Migratory Locust hazards. Institute of remote sensing application (IRSA) of China Academy Sciences, Agriculture tech-knowledge promote center of China Agriculture and Planning Council of Hebei province organized together to cooperate to start studying the methods of using remote sensing to monitor East Asian Migratory Locust hazards. IRSA went ahead to carry out remote sensing new model for monitoring the locusts. This dissertation presents the results of the study. There are some merits of the dissertation as following,(1) The new model of building remote sensing monitoring system for the East Asian migrating locust based on the nature circle of locust breeding stagesCurrently, the remote sensing monitor system of insect pest hazards brings into play after hazards breaking out. In the dissertation a new model to monitor the locusts in active way, in which the locusts breeding process is divided into three stages there are hatching, growing and adult in correspond with there are some differences of monitoring parameters and vegetation conditions (biology-physicsfeatures) within the stages. Remote sensing can retrieve surface temperature and moisture at hatching stage; biomass lose at locust growing stage; locust grouping and moving at adult stage.(2) The biology and physical mechanism test and retrieval methods of remote sensing data for East Asian migratory locustEstablish the correlation models among locust breakout and breeding environment indicators, field spectral features and remote sensing retrievals; comparison of the response of retrieved parameters and vegetation factors; synchronism test was carried out to test the reliability of remote sensing retrieved soil moisture and temperature, vegetation conditions and assessment of the accuracy of retrieved parameters with different scale such as 1000m. 250m and 30m resolution remote sensing data; The MODIS data was used in large scale which contribute high temporal in formation. In Dagang district of Tianjin city and Huanghua county TM/ETM data were used for monitor locust breeding conditions.(3) The integrated analysis application of Remote Sensing, GIS and GPS (3S) The locust biology and physical condition data, field testing data ofenvironment factors, soil moisture and temperature data, vegetation data retrieved from remote sensing, climate data as well as history record of locust hazards were syntactically analyzed as a results to provide locust hatching ground, locust assemble areas, migrating directions as well as prediction of the breed areas for next year. In this way the locust hazards time comes through and spatial distribution can be mapped.(4) The research results will be the kernel tech-knowledge and major procedures for "RS+C+W" Migrate Locust of East Asian monitoring system.