AIP-6
Agriculture/Disaster Management SBA
Eugene Yu and Joan Masó
Outline
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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.
GEOSS Agriculture/Disaster
Management SBA Wiring Diagram
GMU/NASS
WMS (NDVI,
VCI, CDL)
GMU/NASS WCS
(NDVI, VCI, CDL)
GMU RFCLASS
GMU/NASS WFS
(ASD, state/county/country)
users
GMU GADMFS
GMU WFS
(Flood data)
CU-Boulder DFO
ASTON GEO label
S&T Corp User Feedback
GMU WMS
GEO label AIP (Ag. Drought)
(GeoViQua)
GMU WCS
(Ag. Drought)
CSW DAB-Q
(quality indicators)
& S&T (user
feedback)
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
GADMFS - Global Agricultural Drought Monitoring
and Forecasting System
• Low latency information production • Global coverage
with Open Geospatial Web
• Interactive query, visualization and
services
data retrieval
• OGC WCS, WMS, WFS supports
data access
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
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
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
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=GlobalAgr
iculturalDrought&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://geovi
qua.stcorp.nl/api/v1/feedback/collections%3Ftarget_code%3DGlobalAgri
culturalDrought%26target_codespace%3Dwww.gmu.edu%26format%3Dx
ml?size=50" type="image/svg+xml" align="right" width="50"
height="50"></object>
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 timeconsuming and expensive field surveys.
1
…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.
GEOSS PORTAL
http://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).
2
…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.
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.
3
…The government technicians can search for these alternative
datasets through the GEOSS Portal thanks to the quality-aware
component (DAB-Q)
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.
4
…The metadata of the possible alternative datasets can be
compared to facilitate the choice of the right product. The most fitfor-purpose dataset is identified through metadata comparison
METADATA COMPARISON
The metadata comparison
tool. presents datasets in
columns, with attributes
and metadata parameters
aligned in rows.
5
…At the end of the campaign, the
local government releases KML-Q
with a summary of the season
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.
Contributors
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GMU (USA)
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USDA NASS (USA)
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Zhengwei Yang
CU-Boulder (USA)
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Joan Masó Pau
Eva Sevillano Marco
G. Robert Brakenridge
CAAS (China)
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Zhongxin Chen
Huang Qing
Aiden Yu
Tshinghua Univ. (China)
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Tie-Yin Chou
Chih Yuan Chien
Szu-Min Yang
Individuals (USA)
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Yuqi Bai
GiS.FCU (Taiwan)
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CREAF-UAB (Spain)
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Liping Di
Meixia Deng
Genong (Eugene) Yu
Yuanzheng Shao
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Lucia Lovison
SGT (USA)
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Stu Frye
Sponsors