作者: Armando Apan , Owen Chandler , Frank R. Young
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摘要: The project focused on a remote sensing data acquisition strategy that will respond to the requirements for assessment of broadacre hail damage in timely manner within appropriate spatial and economic limitations. Current field based hail damage practices are both time labour intensive. Integrating remote with GIS database provides an economically viable alternative technique recording, correlation, analysis judicious evaluation information interactive administration system. This paper report strategies, specifically hyperspectral simulation trials using hyperspectral acquisitions and remotely sensed (Landsat TM Spot Xi) imagery. Preliminary findings have identified good correlation (r=-0.866) between levels defoliation with r=0.86 Landsat 5 4 Xi sensors.