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AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

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AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó
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Page 1: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

AIP-6Agriculture/Disaster Management SBA

Eugene Yu and Joan Masó

Page 2: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

Outline• Scenarios & Use Cases

– Agricultural Drought Monitoring and Forecasting– Agricultural Flooding Crop Loss Assessment– Quality of Web Service Products– Agriculture Scenario in GeoViQua

• Results– Global Agricultural Drought Monitoring and Forecasting System– Remote Sensing based Crop Loss Assessment Service System– Quality of Web Service Products through GeoViQua

• Message– The use of Open Geospatial Web Services improves agricultural

disaster decision support tools.

Page 3: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

GEOSS Agriculture/Disaster Management SBA Wiring Diagram

GMU GADMFS

GMU/NASS WMS (NDVI, VCI, CDL)

GMU WFS (Flood data)

GMU/NASS WCS (NDVI, VCI, CDL)

GMU/NASS WFS(ASD, state/county/country)

CU-Boulder DFO

GMU RFCLASS

users

GMU WMS (Ag. Drought)

GMU WCS (Ag. Drought)GEO label AIP

(GeoViQua)CSW DAB-Q

(quality indicators) & S&T (user

feedback)

ASTON GEO label

S&T Corp User Feedback

Page 4: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

RFCLASS – Remote Sensing based Flood Crop Loss Assessment Service Systems

• Online system supported with Open Geospatial Web services

• OGC WCS, WMS, WFS are the backbone components

• Crop loss assessment using crop condition profiles

• Flood time series analyses

Page 5: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

GADMFS - Global Agricultural Drought Monitoring and Forecasting System

• Low latency information production with Open Geospatial Web services

• OGC WCS, WMS, WFS supports data access

• Global coverage• Interactive query, visualization and

data retrieval

Page 6: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

Activity

• Integration of the GeoViQua – GEO label– User Feedback interface

• Into the– George Mason University Global Agricultural Drought

Monitoring and Forecasting System• By means of simple links

Page 7: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

Integrating GeoViQua GEO label in GADMFS portal:

• GEO label was created by linking to GeoViQua for Quality Service

• Base on both ISO19115 Metadata description and User feedback reports

• Visualization and discovery of metadata

• Connected to the GCI

http://gis.csiss.gmu.edu/GADMFS

Page 8: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

GeoViQua user feedback• Feedback is managed with

GeoViQua User Feedback service and API

• Facilitate users to provide feedback on data quality

• By clicking on the dynamic GEO label users can read metadata fragments including feedback updates

Page 9: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

Very easy to integrade. Link for the 2 icons• This static icon has to be linked to

• https://geoviqua.stcorp.nl/submit_feedback.html?target_code=GlobalAgriculturalDrought&target_codespace=www.gmu.edu

• This icon is generated automatically using a link in the GEO label API. To ensure maximum compatibility, you should use this html code:• <object data=“http://www.geolabel.net/api/v1/geolabel?

metadata=http://www.creaf.uab.es/temp/AgriculturalDrought19139.xml&feedback=http://geoviqua.stcorp.nl/api/v1/feedback/collections%3Ftarget_code%3DGlobalAgriculturalDrought%26target_codespace%3Dwww.gmu.edu%26format%3Dxml?size=50" type="image/svg+xml" align="right" width="50" height="50"></object>

Page 10: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

Agriculture flooding practices control Scenario• The EU agri-environmental measures (Regulation CEE

1257/1999) consist of a subsidy that farmers receive to support agricultural practices that favour the conservation of affected ecosystems. In Catalonia, the local government monitors the farmers’ practices by means of a fair decision support system based on remote sensing imagery and flooding practices detection, replacing time-consuming and expensive field surveys.

Page 11: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

GEOSS PORTALhttp://geoportal.geoviqua.org

This enhanced GEOSS Portal includes: • discovery and access of quality indicators and traceability embedded in metadata• a GEO Label and referencing scientific reports• smart quality visualization

• at pixel level (quality enriched Web Map services [WMS-Q] visualized in Greenland) • at feature level (Quality enriched [KML-Q] visualized in Google Earth).

…Farmers’ flooding practices are extracted by combining Landsat image classification procedures with rigorous statistical quality assessments. Both

the Landsat imagery and sample of the classified maps are available through the GEOSS Portal.1

Page 12: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

ADDITIONS IN THE METADATA QUALITY MODEL

The Producer Quality Model extends ISO 19115-1, 19115-2 and 19157 standards to include information such as discovered issues, new and better formalized quality indicators (reference datasets for quality evaluation, traceability, and statistical summaries of uncertainty), citations to publications, pixel level quality and more.

…A sudden failure of the Landsat TM/ ETM+ sensor occurs during a monitoring critical period. Time is critical to find a suitable alternative

dataset. A discovered issue is found.2

Page 13: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

QUERY BY QUALITY INDICATOR The Quality-enabled Discovery and Access Broker (DAB-Q) is an extension of the GEO-DAB that implements the Producer Quality Model (and also the User Quality Model) as a quality extensions of the OGC Catalogue Service for the Web (CSW-ISO-Q) interface.

…The government technicians can search for these alternative datasets through the GEOSS Portal thanks to the quality-aware

component (DAB-Q) 3

Page 14: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

METADATA COMPARISONThe metadata comparison tool. presents datasets in columns, with attributes and metadata parameters aligned in rows.

…The metadata of the possible alternative datasets can be compared to facilitate the choice of the right product. The most fit-

for-purpose dataset is identified through metadata comparison 4

Page 15: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

KML-Q AND WMS-Q http://www.ogc.uab.es/geoviqua/wmsq

Quality can be described at dataset level (overall indicator in the metadata) or at pixel level and feature level (a quality value for each pixel or feature). GeoViQua has incorporated into the ncWMS and in the KML-Q innovative symbolization.

…At the end of the campaign, the local government releases KML-Q

with a summary of the season5

Page 16: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.
Page 17: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

Contributors• GMU (USA)

– Liping Di– Meixia Deng– Genong (Eugene) Yu– Yuanzheng Shao

• CREAF-UAB (Spain)– Joan Masó Pau– Eva Sevillano Marco

• USDA NASS (USA)– Zhengwei Yang

• CU-Boulder (USA)– G. Robert Brakenridge

• CAAS (China)– Zhongxin Chen– Huang Qing– Aiden Yu

• Tshinghua Univ. (China)– Yuqi Bai

• GiS.FCU (Taiwan)– Tie-Yin Chou– Chih Yuan Chien– Szu-Min Yang

• Individuals (USA)– Lucia Lovison

• SGT (USA)– Stu Frye

Page 18: AIP-6 Agriculture/Disaster Management SBA Eugene Yu and Joan Masó.

Sponsors


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