Capturing the dynamics of amazonian wetlands using synthetic aperture radar lessons learned and future directions
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808129322876141568 |