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Definition of candidate Essential Variables for the monitoring of mineral resource exploitation.

, , , , and . Geo spatial Inf. Sci., 22 (4): 265-278 (2019)

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Towards Sentinel-2 Analysis Ready Data: a Swiss Data Cube Perspective., , , and . IGARSS, page 8659-8662. IEEE, (2018)Snow Observations from Space: An Approach to Map Snow Cover from Three Decades of Landsat Imagery Across Switzerland., , , , , and . IGARSS, page 8663-8666. IEEE, (2018)Definition of candidate Essential Variables for the monitoring of mineral resource exploitation., , , , and . Geo spatial Inf. Sci., 22 (4): 265-278 (2019)Bevölkerungsabschätzung in Städten anhand von Stereo-Bildpaarungen, die nicht am selben Tag aufgenommen wurdenPopulation Estimation in Urban Areas Based on "Mixed/Cross" Stereo Models., , , , , , , , , and . AGIT Journal Angew. Geoinformatik, (2018)From a Vegetation Index to a Sustainable Development Goal Indicator: Forest Trend Monitoring Using Three Decades of Earth Observations across Switzerland., , , , , and . ISPRS Int. J. Geo Inf., 7 (12): 455 (2018)Publication of Satellite Earth Observations in the Linked Open Data Cloud: Experiment Through the TRACES Project., , , , , and . W2GIS, volume 14673 of Lecture Notes in Computer Science, page 67-85. Springer, (2024)Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube., , , , , and . Data, 4 (4): 138 (2019)Essential Variables for Environmental Monitoring: What Are the Possible Contributions of Earth Observation Data Cubes?, , , , , and . Data, 5 (4): 100 (2020)Data Cube on Demand (DCoD): Generating an earth observation Data Cube anywhere in the world., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)