Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions

Detalhes bibliográficos
Autor(a) principal: Silva, Thiago Sanna Freire [UNESP]
Data de Publicação: 2015
Outros Autores: Melack, John, Streher, Annia Susin, Ferreira-Ferreira, Jefferson, de Almeida Furtado, Luiz Felipe
Tipo de documento: Capítulo de livro
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1201/b18210
http://hdl.handle.net/11449/221174
Resumo: The Amazon basin comprises the largest continuous expanse of tropical forests in the world, covering about 78% of the basin’s 7 million km2 (Goulding et al. 2003). Despite the predominance of upland (“terra firme”) forests, the Amazon is recognized by its large network of large rivers, fueled by precipitation that can average up to 3500 mm/year, with annual extremes of 4500 mm or more (Fisch et al. 1998; Satyamurty et al. 2009). Open water surfaces can reach up to 3% of the entire area for the central Amazon main stem (Arraut et al. 2013), and the entire basin has an average discharge of 209,000 m3/s from its more than 6 million km2 of drained area (Latrubesse et al. 2005).
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spelling Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directionsThe Amazon basin comprises the largest continuous expanse of tropical forests in the world, covering about 78% of the basin’s 7 million km2 (Goulding et al. 2003). Despite the predominance of upland (“terra firme”) forests, the Amazon is recognized by its large network of large rivers, fueled by precipitation that can average up to 3500 mm/year, with annual extremes of 4500 mm or more (Fisch et al. 1998; Satyamurty et al. 2009). Open water surfaces can reach up to 3% of the entire area for the central Amazon main stem (Arraut et al. 2013), and the entire basin has an average discharge of 209,000 m3/s from its more than 6 million km2 of drained area (Latrubesse et al. 2005).Institute for Geosciences and Exact Sciences São Paulo State UniversityBren School of Environmental Science and Management University of California Santa BarbaraCoordination of Information Technology and Communication Mamirauá Sustainable Development InstituteRemote Sensing Division Coordination for Earth Observation National Institute for Space ResearchInstitute for Geosciences and Exact Sciences São Paulo State UniversityUniversidade Estadual Paulista (UNESP)Santa BarbaraMamirauá Sustainable Development InstituteNational Institute for Space ResearchSilva, Thiago Sanna Freire [UNESP]Melack, JohnStreher, Annia SusinFerreira-Ferreira, Jeffersonde Almeida Furtado, Luiz Felipe2022-04-28T19:26:16Z2022-04-28T19:26:16Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPart455-472http://dx.doi.org/10.1201/b18210Remote Sensing of Wetlands: Applications and Advances, p. 455-472.http://hdl.handle.net/11449/22117410.1201/b182102-s2.0-85054246013Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing of Wetlands: Applications and Advancesinfo:eu-repo/semantics/openAccess2022-04-28T19:26:16Zoai:repositorio.unesp.br:11449/221174Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:27:49.082106Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
title Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
spellingShingle Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
Silva, Thiago Sanna Freire [UNESP]
title_short Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
title_full Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
title_fullStr Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
title_full_unstemmed Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
title_sort Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
author Silva, Thiago Sanna Freire [UNESP]
author_facet Silva, Thiago Sanna Freire [UNESP]
Melack, John
Streher, Annia Susin
Ferreira-Ferreira, Jefferson
de Almeida Furtado, Luiz Felipe
author_role author
author2 Melack, John
Streher, Annia Susin
Ferreira-Ferreira, Jefferson
de Almeida Furtado, Luiz Felipe
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Santa Barbara
Mamirauá Sustainable Development Institute
National Institute for Space Research
dc.contributor.author.fl_str_mv Silva, Thiago Sanna Freire [UNESP]
Melack, John
Streher, Annia Susin
Ferreira-Ferreira, Jefferson
de Almeida Furtado, Luiz Felipe
description The Amazon basin comprises the largest continuous expanse of tropical forests in the world, covering about 78% of the basin’s 7 million km2 (Goulding et al. 2003). Despite the predominance of upland (“terra firme”) forests, the Amazon is recognized by its large network of large rivers, fueled by precipitation that can average up to 3500 mm/year, with annual extremes of 4500 mm or more (Fisch et al. 1998; Satyamurty et al. 2009). Open water surfaces can reach up to 3% of the entire area for the central Amazon main stem (Arraut et al. 2013), and the entire basin has an average discharge of 209,000 m3/s from its more than 6 million km2 of drained area (Latrubesse et al. 2005).
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2022-04-28T19:26:16Z
2022-04-28T19:26:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1201/b18210
Remote Sensing of Wetlands: Applications and Advances, p. 455-472.
http://hdl.handle.net/11449/221174
10.1201/b18210
2-s2.0-85054246013
url http://dx.doi.org/10.1201/b18210
http://hdl.handle.net/11449/221174
identifier_str_mv Remote Sensing of Wetlands: Applications and Advances, p. 455-472.
10.1201/b18210
2-s2.0-85054246013
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing of Wetlands: Applications and Advances
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 455-472
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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