I am working with landscape restoration monitoring team at WRI.
We have been desperately looking for higher resolution satellite imagery to map landcover of few districts in Africa and Latin America. We have some good data Collected on Google Earth by local operators. The challenge is that the best available imagery (open source) is still Sentinel-2, only 10m resolution.
I am so excited to here that Microsoft & ESRI developed a model to produce 1m resolution landcover map for Chesapeake region. The lack of high resolution landcover maps is a big problem, especially in many developing countries.
Is it possible to access the model, to test with the training data we have from some African landscapes?
Do you have access to 1m resolution imagery for some African countries, e.g. Ethiopia?
Unlike deforestation, restoration requires tracking of very minute improvements in vegetation, soils, and moisture/hydrology as well as biodiversity for long term. To make matters worse, we need to scale this to 100 of millions global drylands. AI for Earth innovation is right on this problem.
Thank you,
Tesfay Woldemariam
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Hello DevTeam,
I am working with landscape restoration monitoring team at WRI.
We have been desperately looking for higher resolution satellite imagery to map landcover of few districts in Africa and Latin America. We have some good data Collected on Google Earth by local operators. The challenge is that the best available imagery (open source) is still Sentinel-2, only 10m resolution.
I am so excited to here that Microsoft & ESRI developed a model to produce 1m resolution landcover map for Chesapeake region. The lack of high resolution landcover maps is a big problem, especially in many developing countries.
Is it possible to access the model, to test with the training data we have from some African landscapes?
Do you have access to 1m resolution imagery for some African countries, e.g. Ethiopia?
Unlike deforestation, restoration requires tracking of very minute improvements in vegetation, soils, and moisture/hydrology as well as biodiversity for long term. To make matters worse, we need to scale this to 100 of millions global drylands. AI for Earth innovation is right on this problem.
Thank you,
Tesfay Woldemariam