Difference between revisions of "Downstream tasks"

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(Created page with " * Through re.green, we have access to about 670 field plots in Brazil with repeat LiDAR, ALS, and plot data. Felipe Bigliomini works closely with Suzano. * Pastis data. Th...")
 
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* Through re.green, we have access to about 670 field plots in Brazil with repeat LiDAR, ALS, and plot data.  Felipe Bigliomini works closely with Suzano.  
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* ''Tracking forest restoration in Brazil'' Through re.green, we have access to about ~300 field plots with repeat LiDAR, ALS, and plot data.  Felipe Begliomini.
  
* Pastis data. This is segmentation task and not suited to pixel-based representations, though.
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* ''Crop segmentation'' Pastis dataset from France. (Validation or Downstream task?)
  
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* ''Land classification from natural forest, shrubland and grassland ground truth datasets'' David Coomes will make enquiries about access to these from a global consortium of field plot owners that we can compare with representations.
  
* David Coomes will make enquiries about access to natural forest, shrubland and grassland ground truth datasets from a global consortium of field plot owners that we can compare with representations (geolocation accuracy may be an issue). Potentially 3 of David’s students will be interested.
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* ''Urban Mapping'' Urban mapping is interesting as it could help us explore the wild/urban divide where a lot of expansion is happening (see [https://www.nature.com/articles/s41586-023-06320-0 article] in Nature, 2023).
 
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Anil, Andres, and Ronita are looking into urban classification datasets.
* We might have access to data through NeonScience  (a long term NSF-resourced initiative focused on US ecosystem monitoring)  https://www.neonscience.org/about
 
 
 
* Anil, Andres, and Ronita are looking into urban classification datasets. Andrés is assembling a note in the next couple of weeks on what's available and the resolution. Urban mapping is interesting as it could help us explore the wild/urban divide where a lot of expansion is happening (see article in Nature, 2023).
 

Revision as of 10:24, 22 May 2025

  • Tracking forest restoration in Brazil Through re.green, we have access to about ~300 field plots with repeat LiDAR, ALS, and plot data. Felipe Begliomini.
  • Crop segmentation Pastis dataset from France. (Validation or Downstream task?)
  • Land classification from natural forest, shrubland and grassland ground truth datasets David Coomes will make enquiries about access to these from a global consortium of field plot owners that we can compare with representations.
  • Urban Mapping Urban mapping is interesting as it could help us explore the wild/urban divide where a lot of expansion is happening (see article in Nature, 2023).
Anil, Andres, and Ronita are looking into urban classification datasets.