dc.contributorUniversity of California
dc.contributorUniversity of Victoria
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorCalifornia Institute of Technology
dc.contributorThe University of New South Wales
dc.date.accessioned2019-10-06T15:19:36Z
dc.date.accessioned2022-12-19T18:24:39Z
dc.date.available2019-10-06T15:19:36Z
dc.date.available2022-12-19T18:24:39Z
dc.date.created2019-10-06T15:19:36Z
dc.date.issued2018-05-16
dc.identifierThe Wetland Book: I: Structure and Function, Management, and Methods, p. 1685-1690.
dc.identifierhttp://hdl.handle.net/11449/186911
dc.identifier10.1007/978-90-481-9659-3_303
dc.identifier2-s2.0-85054243101
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5367949
dc.description.abstractIn many tropical regions, wetlands are extensive and are often associated with forested environments. Notable examples include those occurring in the floodplains of the Amazon and Congo Rivers. In these regions, cloud cover is prevalent and wetland mapping approaches have been most successful when using time series of Synthetic Aperture Radar (SAR) data. The description of wetlands in forested environments is particularly enhanced when using temporal L-band HH datasets. The provision of information on these tropical wetlands is leading to a better understanding of their contributions to regional and global climate, particularly given their important role as a repository for carbon.
dc.languageeng
dc.relationThe Wetland Book: I: Structure and Function, Management, and Methods
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectCarbon
dc.subjectInundation
dc.subjectSynthetic aperture radar (SAR)
dc.subjectTropical wetlands
dc.titleRemote sensing of wetland types: Tropical flooded forests
dc.typeCapítulos de libros


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