CP
Title | Published in | Access level | OA Policy | Year | Views | Downloads | |
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Change in observed long-term greening across Switzerland – evidence from a three decades NDVI time-series and its relationship with climate and land cover factors | Big earth data | 2023 | 46 | 17 | |||
Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model | Science of remote sensing | 2023 | 373 | 67 | |||
Beyond topo-climatic predictors: Does habitats distribution and remote sensing information improve predictions of species distribution models? | Global ecology and conservation | 2022 | 53 | 15 | |||
Identifying areas of archaeological potential in the Swiss Alps using satellite-derived time-series of snow cover estimates | Remote sensing applications | 2022 | 121 | 70 | |||
The Swiss data cube, analysis ready data archive using earth observations of Switzerland | Scientific data | 2021 | 282 | 96 | |||
Drying conditions in Switzerland – indication from a 35-year Landsat time-series analysis of vegetation water content estimates to support SDGs | Big Earth Data | 2021 | 197 | 92 | |||
SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science | Data Science Journal | 2021 | 264 | 179 | |||
The Swiss Data Cube: Earth Observations for monitoring Switzerland's environment in space and time | 11th International Symposium on Digital Earth (ISDE 11) | 2020 | 291 | 172 | |||
Essential Variables for Environmental Monitoring: What are the Possible Contributions of Earth Observation Data Cubes? | Data | 2020 | 233 | 125 | |||
Sand and Sustainability: Finding new solutions for environmental governance of global sand resources | 2019 | 38 | 4 | ||||
Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube | Data | 2019 | 433 | 187 | |||
Snow Observations from Space: an Approach to Map Snow Cover from Three Decades of Landsat Imagery Across Switzerland | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium | 2018 | 522 | 257 |