Geospatial Data

Community of Practice

 

Welcome!

The Community of Practice on Geospatial data is led by IFPRI and has been launched as a part of the CGIAR Platform for Big Data in Agriculture.

This community facilitates CGIAR’s research using geospatial data and analysis, undertaking activities to bring spatial scientists together through coordinated communication, community-developed products, and the convening of members at various events to represent CGIAR in the geospatial domain of expertise.

This space can be used as a discussion area, share and request relevant information and contribute towards building the community as a whole.

Community Partners
We work closely with our external partners in academia, donors, and public/private sectors – including ITC, Esri, Digital Globe, and Geospatial and Farming Systems Research Consortium.

Community Members
Members of CGIAR-CSI include all geospatial scientists across CGIAR. Community-wide activities are coordinately by the Global Coordinator. Center-level activities are coordinated by the Center Representative. Currently (as of October 2017), CGIAR-CSI reaches to 90 members across all 15 CGIAR Centers.

If you use geospatial data and analyses in CGIAR, join our community! For external party interest, please sign up for updates or email us direct.

Get in touch

CoP Lead

Jawoo Koo | Email
The CSI-CoP formed in 2017 and is led by Agricultural Engineer and Senior Research Fellow Jawoo Koo at the International Food Policy Research Institute (IFPRI) in Washington D.C, U.S.

Administration

Michelle Fotsy | Email
At the International Food Policy Research Institute (IFPRI) in Washington D.C, U.S

Ivy Romero | Email
At the International Food Policy Research Institute (IFPRI) in Washington D.C, U.S

Twitter | Facebook Email 

Engage with the Community

i

BE INFORMED

Tune in to the latest CoP updates by subscribing to our newsletter.

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ENGAGE

Interact with community members through our LinkedIn Group.

CONTRIBUTE

Share your expertise in our working groups.

Thank you for your interest in joining the GeoSpatial Community of Practice

Members of CGIAR-CSI include all geospatial scientists across CGIAR. Community-wide activities are coordinately by the Global Coordinator. Center-level activities are coordinated by the Center Representative. Currently, CGIAR-CSI reaches to 90 members across all 15 CGIAR Centers. The following spaces are available for direct collaboration and communication on community projects.

SharePoint:
CGIAR MEMBERS ONLY: Hosted and managed by IFPRI, authenticated access leads to a discussion forum, CoP resources, events, tasks, contact information and working groups. It’s a private and secure location where CGIAR CoP members can share working documents, optimize workflows, and brainstorm. Join here.

Community News

Articles in this section were originally posted on the CGIAR Consortium for Spatial Information (CGIAR-CSI) website.

High-Resolution and Bias-Corrected CMIP5 Climate Projections

High-Resolution and Bias-Corrected CMIP5 Climate Projections

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A new Data Descriptor article published in the Nature Scientific Data describes CGIAR’s effort to downscale global climate projection data ...
Mapping Spatial Variation in Fertilizer Prices

Mapping Spatial Variation in Fertilizer Prices

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A new study developed by UC Davis, CIMMYT, and IFPRI is the first major attempt to systematically describe the spatial ...
Mapping Cropland in South Asia using Landsat data on Google Earth Engine

Mapping Cropland in South Asia using Landsat data on Google Earth Engine

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Three ICRISAT scientists contributed to a study mapping the extent of agricultural cropland and areas in six countries in South ...
CGIAR-CSI at the AfricaGIS 2019 conference in Kigali, Rwanda

CGIAR-CSI at the AfricaGIS 2019 conference in Kigali, Rwanda

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As a Conference Partner of AfricaGIS 2019 in Kigali, Rwanda, 19-21 November, CGIAR-CSI organized a session on the use of ...
Simplifying Soil Data Management in Sub-Saharan Africa

Simplifying Soil Data Management in Sub-Saharan Africa

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The Global Soil Data Manager – Sub-Saharan Africa is an example of how we can combine outcomes from big data and ...
Mapping Rice Yields using Synthetic Aperture Radar (SAR) and the ORYZA Model

Mapping Rice Yields using Synthetic Aperture Radar (SAR) and the ORYZA Model

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Data on rice production is a fundamental component of the economy in many Asian countries, yet the existing national accounting ...
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Resources

2017 Work Plan – Detailed description of expected outcomes and deliverables for 2017

2018 Work Plan – Detailed description of expected outcomes and deliverables for 2018

2019 Work Plan – Detailed description of expected outcomes and deliverables for 2019

Events

[WEBINAR] FAIR Guidelines and Assessment in GARDIAN

June 25, 2019 – June 25, 2019 | Online

[WEBINAR] Semantic Annotation of Images in the FAIR Data Era

September 3, 2019 – September 3, 2019 | Online

Interested in joining our community of practice?

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