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Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method.
- Published in:
- Remote Sensing, 2023, v. 15, n. 20, p. 4956, doi. 10.3390/rs15204956
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- Article
Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine.
- Published in:
- Remote Sensing, 2023, v. 15, n. 13, p. 3404, doi. 10.3390/rs15133404
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- Publication type:
- Article
Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes.
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- Remote Sensing, 2023, v. 15, n. 7, p. 1822, doi. 10.3390/rs15071822
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- Article
Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine.
- Published in:
- Remote Sensing, 2022, v. 14, n. 6, p. 1347, doi. 10.3390/rs14061347
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- Article
Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity.
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- Biogeosciences, 2024, v. 21, n. 2, p. 473, doi. 10.5194/bg-21-473-2024
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- Article