Difference between revisions of "Projects"

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=TESSERA Design documents=
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__NOTOC__
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=Current=
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Please follow this [https://docs.google.com/document/d/1g_6wUwxkjmWxQxALe5-7LrPiq6X4_tOxoKBz56Jx2m0/edit?usp=sharing link]
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=Archive=
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==TESSERA design documents==
 
*[https://docs.google.com/document/d/1JPmgYprgTqqhkOnjhpaYQxkV36dJE06yo_N56L01KEQ/edit?usp=sharing Computational cost estimation]
 
*[https://docs.google.com/document/d/1JPmgYprgTqqhkOnjhpaYQxkV36dJE06yo_N56L01KEQ/edit?usp=sharing Computational cost estimation]
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*[[Hyperparameters]]
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* Ideas for [https://docs.google.com/document/d/11ocePehZ33d9WH35vHzuYrFCiOU_puuyHhU_rxHy4Fc/edit?usp=sharing Improving representations]
  
=Downstream tasks=
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==Downstream tasks==
 
* Borneo Canopy Height Model, with ground truth from ALS scans collected by David Coomes's group
 
* Borneo Canopy Height Model, with ground truth from ALS scans collected by David Coomes's group
* Test accuracy of crop classification from the crop dataset for an important agricultural production region in Austria (the so-called ‘Marchfeld’), characterised by a large number of crops in widely different field sizes.
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* Test accuracy of crop classification from the crop dataset for an important agricultural production region in Austria (the so-called ‘Marchfeld’), characterised by a large number of crops in widely different field sizes (JSTARS paper: https://ieeexplore.ieee.org/abstract/document/10592304).
* Compare forest AGB in Para state with the results computed by Mantle (RSE paper)
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* Combine embeddings/representations with GEDI rel height difference to compute  AGB in Para state (Brazil)(RSE paper: https://www.sciencedirect.com/science/article/pii/S0034425725001786)
 
* Compare CHM in California with CHM obtained from ALS scans  
 
* Compare CHM in California with CHM obtained from ALS scans  
 
* Compare burn scars in Sierra Nevada in California with ground truth labels from PANGAEA/US Forestry Service
 
* Compare burn scars in Sierra Nevada in California with ground truth labels from PANGAEA/US Forestry Service
 
* [[Above-ground biomass estimation in Finland]]
 
* [[Above-ground biomass estimation in Finland]]
* [[Peat depths in Scotland]]
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* Detect all the solar panels in the UK
  
=Global embedding map=
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==Datasets==
The map is accessible  through [[GeoTessera]]
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# [https://docs.google.com/document/d/1oqk7zTp528EwQCu6GtmWV_yxobuJNkoKBg-mI8w478k/edit?usp=sharing Sources of environmental data]
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# [[Austrian crop categories]]
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# [[California crop data]]
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# [https://docs.google.com/spreadsheets/d/1XvC7cXH5Sa0yAh59KqIl2TobwKQb1o861eCPQx9sB3c/edit?usp=sharing Earth Observation datasets for downstream tasks (spreadsheet)]

Latest revision as of 20:25, 29 September 2025


Current

Please follow this link

Archive

TESSERA design documents

Downstream tasks

  • Borneo Canopy Height Model, with ground truth from ALS scans collected by David Coomes's group
  • Test accuracy of crop classification from the crop dataset for an important agricultural production region in Austria (the so-called ‘Marchfeld’), characterised by a large number of crops in widely different field sizes (JSTARS paper: https://ieeexplore.ieee.org/abstract/document/10592304).
  • Combine embeddings/representations with GEDI rel height difference to compute AGB in Para state (Brazil)(RSE paper: https://www.sciencedirect.com/science/article/pii/S0034425725001786)
  • Compare CHM in California with CHM obtained from ALS scans
  • Compare burn scars in Sierra Nevada in California with ground truth labels from PANGAEA/US Forestry Service
  • Above-ground biomass estimation in Finland
  • Detect all the solar panels in the UK

Datasets

  1. Sources of environmental data
  2. Austrian crop categories
  3. California crop data
  4. Earth Observation datasets for downstream tasks (spreadsheet)