110 likes | 313 Views
A Global Agriculture Drought Monitoring and Forecasting System (GADMFS). Meixia Deng and Liping Di. Requirements. The increasing demands of agriculture drought information Response: timely? Resolution: fine? Accuracy: good? Coverage: global? Interoperability: adequate?
E N D
A Global Agriculture Drought Monitoring and Forecasting System(GADMFS) Meixia Deng and Liping Di
Requirements • The increasing demands of agriculture drought information • Response: timely? • Resolution: fine? • Accuracy: good? • Coverage: global? • Interoperability: adequate? • Data and services: persistent? • User services: On-demand? • …
problems Current drought information systems are mostly limited: • Not compliant with open standards • Not interoperable with GEOSS • Coarse spatial and temporal resolution • Most of them only at regional level • Limited drought information dissemination • only map view • No drought data customization and download • No or limited service/analysis capabilities • Separate and incompatible services • Lack of historical drought data analysis • Inefficient drought prediction and estimation
Goal and Objectives • To develop an operational framework and base system for producing and disseminating agricultural drought information from time-series Earth observation data. • To assimilate Earth observations to generate agricultural drought indicators • To develop an open geospatial Web service system for global drought monitoring and forecasting • To foster the collaboration among the community to support the operation of a geospatial Web system for global agricultural drought monitoring
GADMFS To address a comprehensive solution to major problems of current agriculture drought information systems by providing global, near-real-time, refined (in terms of spatial and temporal resolutions and accuracy), interoperable, and on-demand agriculture drought condition and information products.
User Services • Product Discovery, Download, and Machine-to-machine Access • provides interoperable, personalized, on-demand data access services (IPODAS) to end-users for discovering and downloading the drought related data and information products through its web portal • Geospatial Processing Services • Process and automate • Customized Product Generation and Serving • Workflow
Approach • The approach to develop and deploy a global agriculture drought monitoring scenario: to implement a workflow which include and consume EO data services in WCS, to process agriculture drought estimation in WPS, and to present agriculture drought information in WMS. • Multiple GEOSS contributing components and services from AIP-5 participants as well as components and services registered in GEOSS CSR will be integrated into the workflow to demonstrate the interoperability and collective capabilities.
Focuses • SBA focus in AIP-5: • Vegetation Condition Index, • Agriculture Drought • Global Agriculture Drought Monitoring and Forecasting Portal • Components and services to be registered in GEOSS Registry • The portal can search and discover the data and processing services registered in GEOSS CSR, and the discovered data and services will be able to access through the portals to support the SBA applications.
Contributions • Multiple components and services (interoperable) will contribute to the existing GEOSS AIP architecture use cases • Portal (http, WMS, KML): visualize & access, maintain and support • Workflow management (BPEL & WPS): process and automate • Processing servers (WPS):process and automate • Data servers (WMS & WCS): Visualize and access
Relationship • GADMFS is an application system for Agriculture, Water, and Hazards SBA, developed in compliant with OGC standards and GEOSS architecture. • GADMFS is relevant to multiple GEO SBA tasks • TASK WA-01: Integrated Water Information (incl. Floods and Droughts) • Component C2 – Information systems for Hydro-meteorological Extremes
notes For disaster management SBA - on-demand access and processing - Forecasts and events noticing with WNS when agriculture drought occurs - SBA use case scenarios