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- W2986393998 abstract "The EC/ESA Copernicus program provides a long-term data base that is a unique opportunity for the constant monitoring of the dynamic processes of our Planet. The observation of the forest coverage is of primary importance for the study of the carbon cycle and plays a fundamental role for the management of Earth’s natural resources. In this paper we present a strategy to map forested areas by exploiting interferometric Sentinel-1 acquisitions. We observe the evolution in time of the temporal decorrelation of Sentinel-1 stacks and provide a processing and classification framework. We show results over the Amazon rainforest, in particular over the Brazilian Rondonia state, where intensive deforestation phenomena take place." @default.
- W2986393998 created "2019-11-22" @default.
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- W2986393998 date "2019-07-01" @default.
- W2986393998 modified "2023-09-26" @default.
- W2986393998 title "Forest Classification and Deforestation Mapping by Means of Sentinel-1 InSAR Stacks" @default.
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- W2986393998 doi "https://doi.org/10.1109/igarss.2019.8898209" @default.
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