Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data

Descripción del Articulo

The new Global Digital Elevation Model (GDEM v2) has been available since 17 October 2011. With a resolution of approximately 30 m, this model should provide more accurate information than the latest version of Shuttle Radar Topographic Mission (SRTM v4) with a resolution of 90 m outside of the USA....

Descripción completa

Detalles Bibliográficos
Autores: Satgé, F., Bonnet, M.P, Timouk, F., Calmant, S., Pillco, R., Molina, J., Lavado-Casimiro, W., Arsen, A., Crétaux, J.F., Garnier, J.
Formato: artículo
Fecha de Publicación:2015
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/56
Enlace del recurso:https://hdl.handle.net/20.500.12542/56
https://doi.org/10.1080/01431161.2014.999166
Nivel de acceso:acceso cerrado
Materia:Aneroid altimeters
Digital Instruments
Forestry
Geomorphology
Radio Altimeters
Tracking Radar
Radar
id SEAM_589f1166d38cabd91aa4d417f6e86d35
oai_identifier_str oai:repositorio.senamhi.gob.pe:20.500.12542/56
network_acronym_str SEAM
network_name_str SENAMHI-Institucional
repository_id_str 4818
dc.title.en_US.fl_str_mv Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data
title Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data
spellingShingle Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data
Satgé, F.
Aneroid altimeters
Digital Instruments
Forestry
Geomorphology
Radio Altimeters
Tracking Radar
Radar
title_short Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data
title_full Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data
title_fullStr Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data
title_full_unstemmed Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data
title_sort Accuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS data
author Satgé, F.
author_facet Satgé, F.
Bonnet, M.P
Timouk, F.
Calmant, S.
Pillco, R.
Molina, J.
Lavado-Casimiro, W.
Arsen, A.
Crétaux, J.F.
Garnier, J.
author_role author
author2 Bonnet, M.P
Timouk, F.
Calmant, S.
Pillco, R.
Molina, J.
Lavado-Casimiro, W.
Arsen, A.
Crétaux, J.F.
Garnier, J.
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Satgé, F.
Bonnet, M.P
Timouk, F.
Calmant, S.
Pillco, R.
Molina, J.
Lavado-Casimiro, W.
Arsen, A.
Crétaux, J.F.
Garnier, J.
dc.subject.en_US.fl_str_mv Aneroid altimeters
Digital Instruments
Forestry
Geomorphology
Radio Altimeters
Tracking Radar
topic Aneroid altimeters
Digital Instruments
Forestry
Geomorphology
Radio Altimeters
Tracking Radar
Radar
dc.subject.es_PE.fl_str_mv Radar
description The new Global Digital Elevation Model (GDEM v2) has been available since 17 October 2011. With a resolution of approximately 30 m, this model should provide more accurate information than the latest version of Shuttle Radar Topographic Mission (SRTM v4) with a resolution of 90 m outside of the USA. The accuracies of these two recently released digital elevation models (DEMs) were assessed over the Altiplano watershed in South America using ICESat/GLAS data (Ice, Cloud and Land Elevation Satellite/Geoscience Laser Altimeter System). On the global scale, GDEM v2 is more accurate than SRTM v4, which presents a negative bias of approximately 8.8 m. Strong correlations between the DEMs’ accuracies and mean slope values occurred. Regarding land cover, SRTM v4 could be more accurate or easier to correct on a smaller scale than GDEM v2. Finally, a merged and corrected DEM that considers all of these observations was built to provide more accurate information for this region. The new model featured lower absolute mean errors, standard deviations, and root mean square errors relative to SRTM v4 or GDEM v2.
publishDate 2015
dc.date.accessioned.none.fl_str_mv 2019-07-22T14:24:00Z
dc.date.available.none.fl_str_mv 2019-07-22T14:24:00Z
dc.date.issued.fl_str_mv 2015-01
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12542/56
dc.identifier.isni.none.fl_str_mv 0000 0001 0746 0446
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1080/01431161.2014.999166
url https://hdl.handle.net/20.500.12542/56
https://doi.org/10.1080/01431161.2014.999166
identifier_str_mv 0000 0001 0746 0446
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn:0143-1161
dc.rights.none.fl_str_mv info:eu-repo/semantics/closedAccess
Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
dc.rights.uri.none.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/3.0/us/
eu_rights_str_mv closedAccess
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
http://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.format.none.fl_str_mv application/pdf
dc.publisher.en_US.fl_str_mv Taylor and Francis Ltd.
dc.source.es_PE.fl_str_mv Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio Institucional - SENAMHI
dc.source.none.fl_str_mv reponame:SENAMHI-Institucional
instname:Servicio Nacional de Meteorología e Hidrología del Perú
instacron:SENAMHI
instname_str Servicio Nacional de Meteorología e Hidrología del Perú
instacron_str SENAMHI
institution SENAMHI
reponame_str SENAMHI-Institucional
collection SENAMHI-Institucional
dc.source.volume.es_PE.fl_str_mv 36
dc.source.issue.es_PE.fl_str_mv 2
dc.source.initialpage.es_PE.fl_str_mv 465
dc.source.endpage.es_PE.fl_str_mv 488
dc.source.journal.es_PE.fl_str_mv International Journal of Remote Sensing
bitstream.url.fl_str_mv http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/56/2/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Institucional SENAMHI
repository.mail.fl_str_mv repositorio@senamhi.gob.pe
_version_ 1770866378182492160
spelling Satgé, F.Bonnet, M.PTimouk, F.Calmant, S.Pillco, R.Molina, J.Lavado-Casimiro, W.Arsen, A.Crétaux, J.F.Garnier, J.2019-07-22T14:24:00Z2019-07-22T14:24:00Z2015-01https://hdl.handle.net/20.500.12542/560000 0001 0746 0446https://doi.org/10.1080/01431161.2014.999166The new Global Digital Elevation Model (GDEM v2) has been available since 17 October 2011. With a resolution of approximately 30 m, this model should provide more accurate information than the latest version of Shuttle Radar Topographic Mission (SRTM v4) with a resolution of 90 m outside of the USA. The accuracies of these two recently released digital elevation models (DEMs) were assessed over the Altiplano watershed in South America using ICESat/GLAS data (Ice, Cloud and Land Elevation Satellite/Geoscience Laser Altimeter System). On the global scale, GDEM v2 is more accurate than SRTM v4, which presents a negative bias of approximately 8.8 m. Strong correlations between the DEMs’ accuracies and mean slope values occurred. Regarding land cover, SRTM v4 could be more accurate or easier to correct on a smaller scale than GDEM v2. Finally, a merged and corrected DEM that considers all of these observations was built to provide more accurate information for this region. The new model featured lower absolute mean errors, standard deviations, and root mean square errors relative to SRTM v4 or GDEM v2.Por paresapplication/pdfengTaylor and Francis Ltd.urn:issn:0143-1161info:eu-repo/semantics/closedAccessAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de Américahttp://creativecommons.org/licenses/by-nc-nd/3.0/us/Servicio Nacional de Meteorología e Hidrología del PerúRepositorio Institucional - SENAMHI362465488International Journal of Remote Sensingreponame:SENAMHI-Institucionalinstname:Servicio Nacional de Meteorología e Hidrología del Perúinstacron:SENAMHIAneroid altimetersDigital InstrumentsForestryGeomorphologyRadio AltimetersTracking RadarRadarAccuracy assessment of SRTM v4 and ASTER GDEM v2 over the Altiplano watershed using ICESat/GLAS datainfo:eu-repo/semantics/articleLICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/56/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5220.500.12542/56oai:repositorio.senamhi.gob.pe:20.500.12542/562021-03-16 18:33:10.184Repositorio Institucional SENAMHIrepositorio@senamhi.gob.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
score 13.91977
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).