VIDEO
Stanford Sustain
Combining satellite imagery and machine learning to predict crop yield.
Read more here.
DOCUMENT
Geosurvey
Crowdsourced geospatial analysis of satellite and mobile imagery
DOCUMENT
Chennai Flood Management
Open source, collaborative flood management that improves over time
DOCUMENT
Flurosat
Flurosat peers into the life of plants to identify problems and recommend precision fixes
DOCUMENT
Mawas
A multi-hydrometerology-hazard for early warning and action system
DOCUMENT
Cornell University Crop Yield Resilience Group
A data-driven tracking tool for enhancing agricultural climate change resilience
DOCUMENT
Map for Environment
Make maps with the world’s open environmental data
DOCUMENT
The Banana Network
Artificial intelligence to assess vulnerability of bananas in a warming climateBig Data Innovation for Climate Resilience
This series highlights innovations that were recognized as part of the Big Data Innovation Challenge on climate resilience-- a global call for data solutions to address increasingly pressing issues surrounding climate resilience in specific sectors: Food Security, Nutrition, Forests and Watersheds.
The Challenge was jointly created by the World Bank’s Big Data, Climate Change and Development Economics Data teams in close collaboration with an advisory group that included global experts from the World Economic Forum, NASA, the UN’s Global Pulse, the US State Department, and the World Food Program. Winners and finalists were selected through a multi-round evaluation process that involved close to 40 judges, including data scientists and sector specialists.
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