CGIAR-CSI

CGIAR Consortium for Spatial Information 🗺️🛰️

(Header Credit: Chandrashekhar Biradar, ICARDA)

[CGIAR-CSI @cgiarcsi]

📡🐄A livestock census from the sky? Discover how #satellite imagery offers an innovative way to count cows in #SouthSudan.

Register for @LD4D_Community session with Dan Smaranda of @FCDOGovUK #DataScience Hub.
https://t.co/IbMNwdsKKi

#livestock #data #census #Africa

[CGIAR-CSI @cgiarcsi]

Finally, the #GAEZ4 is here! 👏

[FAO Land, Soil and Water @FAOLandWater]

Agricultural productivity needs to increase 70 % by 2050 to meet the increasing food demand.

The new #GAEZ4 developed by @FAO & @IIASAVienna helps assessing agricultural resources risks & potentials in support to #SDGs.

Join GAEZ4 launch on 17 June 21
👇
https://t.co/dX6Nne52pS

[CGIAR-CSI @cgiarcsi]

Introducing “CGIAR Data Science Academy” https://t.co/EsvII9yU46

[CGIAR-CSI @cgiarcsi]

Mapping Forest Conservation, Vulnerability, and Restoration https://t.co/HblVM6Pxc4

[CGIAR-CSI @cgiarcsi]

Innovations in ODK: Improving Data Collection for Agriculture and Scaling to the Global Community https://t.co/i5Nckiy5dr

[CGIAR-CSI @cgiarcsi]

📢💡 #CGIARWebinar | Innovations in Open Data Kit (ODK): Improving Data Collection for Agriculture and Scaling to the Global Community.

📅 December 3, 2020
⏰ 09:00 AM EST | 3:00 PM CET (UTC+1)
👉 Register at https://t.co/OBT8Z2Faba

[CGIAR-CSI @cgiarcsi]

Gridded Crop Modeling: Advances & Challenges https://t.co/DBU9eSPaHR

[CGIAR-CSI @cgiarcsi]

Monitoring Croplands using Remote Sensing, Ground Data & Machine Learning Algorithms https://t.co/tqoaSnNaRn https://t.co/xwypbfHeNJ

[CGIAR-CSI @cgiarcsi]

Geospatial Analyses at CGIAR Centers/Alliances https://t.co/fSOlx8JQPH

[CGIAR-CSI @cgiarcsi]

Mapping Crop Types using Sentinel-2 Satellite Data https://t.co/007EPDofAN

[CGIAR-CSI @cgiarcsi]

Announcing the CG Labs Datathon: Analyze Climate Change Data using R/Python (and Win Prizes!) https://t.co/PuX5WwrQc9

[CGIAR-CSI @cgiarcsi]

Mapping Global Cropland Connectivity for Managing Crop Pest and Disease Risks https://t.co/WRQYEungkd

[CGIAR-CSI @cgiarcsi]

Spatially-Disaggregated Crop Production Statistics Data in Sub-Saharan Africa for 2017 https://t.co/EAIHqGxfFQ

[CGIAR-CSI @cgiarcsi]

CHIR Explorer: An Online Tool for Assessing Dry and Wet Conditions https://t.co/suKSPneCU9

[CGIAR-CSI @cgiarcsi]

Take Home Messages from Esri User Conference 2020 https://t.co/lvdLGY8CLk

[CGIAR-CSI @cgiarcsi]

Simplifying Soil Data Management in Sub-Saharan Africa https://t.co/eHJNy7AFPp

[CGIAR-CSI @cgiarcsi]

Mapping Rice Yields using Synthetic Aperture Radar (SAR) and the ORYZA Model https://t.co/cO0myVTijV

[CGIAR-CSI @cgiarcsi]

Mapping Soil Erosion using Satellite Remote Sensing https://t.co/nmLZtDN81v

[CGIAR-CSI @cgiarcsi]

Mapping Inland Valleys in Benin, Sierra Leone, and Mali https://t.co/vJqa0t1xNj

[CGIAR-CSI @cgiarcsi]

Mapping Synchronous Crop Failures and Climate-forced Production Variability https://t.co/rDc3PG57EW