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

dataset
posted on 2024-02-13, 13:26 authored by Center for Spatial Information Science and Systems (CSISS), George Mason University

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.


Resources in this dataset:

  • Resource Title: Website Pointer to RF-CLASS: Remote-sensing-based Flood Crop Loss Assessment Service System.

    File Name: Web Page, url: https://dss.csiss.gmu.edu/RFCLASS/

    Basic Layers: Global Cover: CDL: CDL 2012, Crop Mask; Boundaries,:Counties, States, ASD; Water Layers: Rivers, Lakes; Road Layers: Freeway System (National), Major Highways (Regional); Flood Data Layers: flood_frequency.

    Products: Type: Flood; Crop Fraction; Crop Loss; Flood Events; NDVI; VCI; RVCI; RMVCI; MVCI. (Period/Year/Date)

Funding

National Aeronautics and Space Administration: NNX12AQ31G

National Aeronautics and Space Administration: NNX14AP91G

History

Data contact name

Yu, Eugene Genong

Data contact email

gyu@gmu.edu

Publisher

Center for Spatial Information Science and Systems (CSISS), George Mason University

Intended use

RF-CLASS supports flood-related crop statistics and insurance decision-making.

Theme

  • Not specified

Geographic Coverage

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Geographic location - description

Contiguous United States (CONUS)

ISO Topic Category

  • climatologyMeteorologyAtmosphere
  • environment
  • farming
  • geoscientificInformation
  • imageryBaseMapsEarthCover
  • inlandWaters
  • location
  • planningCadastre

National Agricultural Library Thesaurus terms

crop losses; statistics; decision making; floods; United States; acreage; crop damage; monitoring; risk management; surveys; farmers; labor; decision support systems; algorithms; National Aeronautics and Space Administration; information systems; Internet; crop insurance; issues and policy; remote sensing

OMB Bureau Code

  • 005:15 - National Agricultural Statistics Service

Primary article PubAg Handle

Pending citation

  • No

Public Access Level

  • Public

Preferred dataset citation

Center for Spatial Information Science and Systems (CSISS), George Mason University (2018). RF-CLASS: Remote-sensing-based Flood Crop Loss Assessment Service System. Center for Spatial Information Science and Systems (CSISS), George Mason University.

Usage metrics

    Categories

    Keywords

    RF-CLASSRemote-sensing-based Flood Crop Loss Assessment Service System

    Licence

    U.S. Public Domain

    Exports

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