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RF-CLASS: Remote-sensing-based Flood Crop Loss Assessment Service System

The Remote-sensing-based Flood Crop Loss Assessment Service System (RF-CLASS) is an Earth Observation (EO) based flood crop loss assessment cyber-service system operated by the Center for Spatial Information Science and Systems (CSISS), George Mason University. RF-CLASS supports flood-related crop statistics and insurance decision-making. Based on the service-orientated architecture, RF-CLASS has been implemented with open interoperability specifications to facilitate the interoperability with EO data systems, particularly the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (EOSDIS), for automatically fetching the input data from the data systems. Validated EO algorithms have been implemented as web services in the system to operationally produce a set of flood-related products from EO data, such as flood frequency, flooded acreage, and degree of crop damage, for supporting decision-making in flood statistics and flood crop insurance policy. The system leverages recent advances in the remote sensing-based flood monitoring and assessment, the near-real-time availability of EO data, the service-oriented architecture, geospatial interoperability standards, and the standard-based geospatial web service technology. The prototype system has automatically generated the flood crop loss products and demonstrated the feasibility of using such products to improve the agricultural decision-making.

FieldValue
Tags
Modified
2019-08-05
Release Date
2018-12-21
Identifier
9ea68a0e-e7bf-4c08-97cb-b9d912385aae
Spatial / Geographical Coverage Area
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Spatial / Geographical Coverage Location
Contiguous United States (CONUS)
Publisher
Center for Spatial Information Science and Systems (CSISS), George Mason University
License
Contact Name
Yu, Eugene Genong
Contact Email
Public Access Level
Public
Bureau Code
005:15 - National Agricultural Statistics Service