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- 60444fb5-f220-4e35-9339-b5c464200d5a type DataResearchObject assertion.
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- 60444fb5-f220-4e35-9339-b5c464200d5a mainEntity "Data management plan" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a description "MASSIVE project aims at i) vastly expanding the applicability of surface mass balance regression methods by exploiting the latest machine learning techniques such as deep learning for image classification and regression. ii) Harvesting unprecedented amounts of freely available archive remote sensing data to build data cubes of well-selected glacierized regions in the world. The data cubes will contain information on snow cover area, glacier facies, albedo, glacier surface elevation changes and other relevant mass balance predictors. iii) designing novel glacier facies and snow cover classification algorithms based on ML. iv) Adapting the most promising network architectures for pixel-wise mapping in RS, Fully Convolutional Networks. These Networks can be trained with multi-resolution and multi-sensor data in one single classification framework. This includes a combination of optical and synthetic aperture radar. v) using advanced machine learning regression techniques, e.g., deep regression to extract annual and seasonal mass balance. vi) testing the potential of prolonging the mass balance time series based on snow cover area and albedo maps only.""" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a contentSize "17085" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a contributor mailto:annefou@geo.uio.no assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a dateCreated "2022-03-22 16:18:11.139639+00:00" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a creation_mode "MANUAL" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a cite-as "Schellenberger, Thomas, Anne Foilloux, Konstantin Maslov, and Anne Foilloux. "MAchine learning, Surface mass balance of glaciers, Snow cover, In-situ data, Volume change, Earth observation (MASSIVE) project." ROHub. Mar 22 ,2022. https://w3id.org/ro-id/60444fb5-f220-4e35-9339-b5c464200d5a." assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a funding ES681325 assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a about 3952 assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a name "MAchine learning, Surface mass balance of glaciers, Snow cover, In-situ data, Volume change, Earth observation (MASSIVE) project" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a contentUrl "https://api.rohub.org/api/ros/60444fb5-f220-4e35-9339-b5c464200d5a/crate/download/" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a creator mailto:nordicesmhub@gmail.com assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a dateModified "2025-03-05 01:01:23.170074+00:00" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a datePublished "2022-03-22 16:18:11.139639+00:00" assertion.
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- 60444fb5-f220-4e35-9339-b5c464200d5a identifier "https://w3id.org/ro-id/60444fb5-f220-4e35-9339-b5c464200d5a" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a license no-permission assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a publisher 01xtthb56 assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "machine learning" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "remote sensing" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "big data" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "deep learning" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "snow" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "automated classification" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "convolutional network" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "geoscience" assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a keywords "glaciology" assertion.
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- 60444fb5-f220-4e35-9339-b5c464200d5a author mailto:annefou@geo.uio.no assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a author mailto:k.a.maslov@utwente.nl assertion.
- 60444fb5-f220-4e35-9339-b5c464200d5a author mailto:thomas.schellenberger@geo.uio.no assertion.