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

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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.

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 ...
Mapping Soil Erosion using Satellite Remote Sensing

Mapping Soil Erosion using Satellite Remote Sensing

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Tor-Gunnar Vågen and Leigh Ann Winowiecki from World Agroforestry (ICRAF) co-authored a study on the spatial assessments of soil erosion ...
CGIAR-CSI Goes to AfricaGIS 2019

CGIAR-CSI Goes to AfricaGIS 2019

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CGIAR-CSI partners with EIS-Africa to participate in the upcoming AfricaGIS 2019 conference in Rwanda in November 2019. About 30 community ...
Mapping Inland Valleys in Benin, Sierra Leone, and Mali

Mapping Inland Valleys in Benin, Sierra Leone, and Mali

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Justin Djagba (AfricaRice) and Sander Zwart (IWMI) co-authored a data article describing the dataset used in two earlier studies that ...
Do you collect data from the field? We need to talk!

Do you collect data from the field? We need to talk!

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Georeferenced data has many potential uses for groundtruthing in data science applications, yet only about 20% of CGIAR-collected data is ...
Mapping Suitability of Chicken Breeds in Ethiopia

Mapping Suitability of Chicken Breeds in Ethiopia

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Climatic suitability of animals has been less studied than crops, yet its potential has been increasingly recognized as critically important ...
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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] Semantic Annotation of Images in the FAIR Data Era

September 3, 2019 – September 3, 2019 | Online

[WEBINAR] Digital Food Systems Evidence Clearing House

September 17, 2019 – September 17, 2019 | Online

Interested in joining our community of practice?

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