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The Remote Sensing Flood Crop Loss Assessment (RF-CLASS) is a system of geospatial Web services that provide comprehensive services to decision makers in assessing flood-induced crop loss. It serves a series of vector-based geospatial data. Traditionally, these data are visualized on the Web through a open Web Map Service (WMS) while the geospatial data are kept in either a geo-database or a vector-feature...
Agriculture is one of the most affected sectors by the flood. Spaceborn remote sensing is widely used for flood mapping and monitoring in recent decades. Some applications such as flood crop loss assessment require data with fine temporal resolution to monitor short-lived flood. MODIS is providing remote sensing data with 1–2 days temporal resolution which has frequently been used for flood mapping...
Vegetation condition assessment is very useful and helpful for researchers and decision makers to evaluate crop loss and value, and identify and manage risks in the flood hazard areas. Crop responses to flooding vary with crop types, crop growing stages, soil characteristics, weather condition, flood duration and depth, etc. How to measure and understand crop response is a challenging and important...
Flooding introduces significant changes to crop condition profiles that can be derived from remote sensing. These changes correlate to crop damage caused by flood events. Crop condition profiles can be directly or indirectly constructed using different vegetation indices if specific crop are pre-determined. Crop condition profiles may be resulted from different vegetation indices. This study compares...
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