Evaluation of Sentinel-1 and 2 Time Series for Land Cover Classification of Forest–Agriculture Mosaics in Temperate and Tropical Landscapes
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Title
Evaluation of Sentinel-1 and 2 Time Series for Land Cover Classification of Forest–Agriculture Mosaics in Temperate and Tropical Landscapes
Authors
Keywords
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Journal
Remote Sensing
Volume 11, Issue 8, Pages 979
Publisher
MDPI AG
Online
2019-04-25
DOI
10.3390/rs11080979
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- (2018) Pierre Defourny et al. REMOTE SENSING OF ENVIRONMENT
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- (2017) Lyndon Estes et al. GLOBAL CHANGE BIOLOGY
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- (2017) Nataliia Kussul et al. IEEE Geoscience and Remote Sensing Letters
- Species’ habitat use inferred from environmental variables at multiple scales: How much we gain from high-resolution vegetation data?
- (2017) Aitor Gastón et al. International Journal of Applied Earth Observation and Geoinformation
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- (2017) Matthew L. Clark REMOTE SENSING OF ENVIRONMENT
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- (2016) Nicolas N. Baghdadi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Optical remotely sensed time series data for land cover classification: A review
- (2016) Cristina Gómez et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation
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- (2016) Jordi Inglada et al. Remote Sensing
- A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring
- (2016) Neha Joshi et al. Remote Sensing
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- (2011) Jonathan A. Foley et al. NATURE
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