Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms
Accurate estimation of sensible and latent heat fluxes as well as soil moisture from remotely sensed satellite images poses a great challenge. Yet, it is critical to face this challenge since the estimation of spatial and temporal distributions of these parameters over large areas is impossible usin...
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| Médium: | article |
| Jazyk: | angličtina |
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2018
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| On-line přístup: | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6565/65650W/Scintillometer-networks-for-calibration-and-validation-of-energy-balance-and/10.1117/12.718124.short?SSO=1 http://ridda2.utp.ac.pa/handle/123456789/4450 |
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| _version_ | 1869451876667228160 |
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| author | Hendrickx, Jan |
| author2 | Kleissl, Jan Gómez Vélez, Jesús Hong, Sung-ho Fábrega, José Vega, David Moreno Ramírez, Hernán Ogden, Fred |
| author2_role | author author author author author author author |
| author_browse | Fábrega, José Gómez Vélez, Jesús Hendrickx, Jan Hong, Sung-ho Kleissl, Jan Moreno Ramírez, Hernán Ogden, Fred Vega, David |
| author_facet | Hendrickx, Jan Kleissl, Jan Gómez Vélez, Jesús Hong, Sung-ho Fábrega, José Vega, David Moreno Ramírez, Hernán Ogden, Fred |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Hendrickx, Jan Kleissl, Jan Gómez Vélez, Jesús Hong, Sung-ho Fábrega, José Vega, David Moreno Ramírez, Hernán Ogden, Fred |
| dc.date.none.fl_str_mv | 05/07/2007 05/07/2007 2018-03-23T15:44:04Z 2018-03-23T15:44:04Z 2018-03-23T15:44:04Z 2018-03-23T15:44:04Z |
| dc.format.none.fl_str_mv | application/pdf text/html |
| dc.identifier.none.fl_str_mv | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6565/65650W/Scintillometer-networks-for-calibration-and-validation-of-energy-balance-and/10.1117/12.718124.short?SSO=1 http://ridda2.utp.ac.pa/handle/123456789/4450 http://ridda2.utp.ac.pa/handle/123456789/4450 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Scintillometer networks calibration energy balance sensing algorithms Scintillometer networks calibration energy balance sensing algorithms |
| dc.title.none.fl_str_mv | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | Accurate estimation of sensible and latent heat fluxes as well as soil moisture from remotely sensed satellite images poses a great challenge. Yet, it is critical to face this challenge since the estimation of spatial and temporal distributions of these parameters over large areas is impossible using only ground measurements. A major difficulty for the calibration and validation of operational remote sensing methods such as SEBAL, METRIC, and ALEXI is the ground measurement of sensible heat fluxes at a scale similar to the spatial resolution of the remote sensing image. While the spatial length scale of remote sensing images covers a range from 30 m (LandSat) to 1000 m (MODIS) direct methods to measure sensible heat fluxes such as eddy covariance (EC) only provide point measurements at a scale that may be considerably smaller than the estimate obtained from a remote sensing method. The Large Aperture scintillometer (LAS) flux footprint area is larger (up to 5000 m long) and its spatial extent better constraint than that of EC systems. Therefore, scintillometers offer the unique possibility of measuring the vertical flux of sensible heat averaged over areas comparable with several pixels of a satellite image (up to about 40 Landsat thermal pixels or about 5 MODIS thermal pixels). The objective of this paper is to present our experiences with an existing network of seven scintillometers in New Mexico and a planned network of three scintillometers in the humid tropics of Panama and Colombia. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | PA_c148c82def27fcdaaa6ff040d8d7d74c |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| network_acronym_str | PA |
| network_name_str | oai la ref anni2 |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/4450 |
| publishDate | 2018 |
| publishDateSort | 2018 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithmsHendrickx, JanKleissl, JanGómez Vélez, JesúsHong, Sung-hoFábrega, JoséVega, DavidMoreno Ramírez, HernánOgden, FredScintillometernetworkscalibrationenergy balancesensing algorithmsScintillometernetworkscalibrationenergy balancesensing algorithmsAccurate estimation of sensible and latent heat fluxes as well as soil moisture from remotely sensed satellite images poses a great challenge. Yet, it is critical to face this challenge since the estimation of spatial and temporal distributions of these parameters over large areas is impossible using only ground measurements. A major difficulty for the calibration and validation of operational remote sensing methods such as SEBAL, METRIC, and ALEXI is the ground measurement of sensible heat fluxes at a scale similar to the spatial resolution of the remote sensing image. While the spatial length scale of remote sensing images covers a range from 30 m (LandSat) to 1000 m (MODIS) direct methods to measure sensible heat fluxes such as eddy covariance (EC) only provide point measurements at a scale that may be considerably smaller than the estimate obtained from a remote sensing method. The Large Aperture scintillometer (LAS) flux footprint area is larger (up to 5000 m long) and its spatial extent better constraint than that of EC systems. Therefore, scintillometers offer the unique possibility of measuring the vertical flux of sensible heat averaged over areas comparable with several pixels of a satellite image (up to about 40 Landsat thermal pixels or about 5 MODIS thermal pixels). The objective of this paper is to present our experiences with an existing network of seven scintillometers in New Mexico and a planned network of three scintillometers in the humid tropics of Panama and Colombia.Accurate estimation of sensible and latent heat fluxes as well as soil moisture from remotely sensed satellite images poses a great challenge. Yet, it is critical to face this challenge since the estimation of spatial and temporal distributions of these parameters over large areas is impossible using only ground measurements. A major difficulty for the calibration and validation of operational remote sensing methods such as SEBAL, METRIC, and ALEXI is the ground measurement of sensible heat fluxes at a scale similar to the spatial resolution of the remote sensing image. While the spatial length scale of remote sensing images covers a range from 30 m (LandSat) to 1000 m (MODIS) direct methods to measure sensible heat fluxes such as eddy covariance (EC) only provide point measurements at a scale that may be considerably smaller than the estimate obtained from a remote sensing method. The Large Aperture scintillometer (LAS) flux footprint area is larger (up to 5000 m long) and its spatial extent better constraint than that of EC systems. Therefore, scintillometers offer the unique possibility of measuring the vertical flux of sensible heat averaged over areas comparable with several pixels of a satellite image (up to about 40 Landsat thermal pixels or about 5 MODIS thermal pixels). The objective of this paper is to present our experiences with an existing network of seven scintillometers in New Mexico and a planned network of three scintillometers in the humid tropics of Panama and Colombia.2018-03-23T15:44:04Z2018-03-23T15:44:04Z2018-03-23T15:44:04Z2018-03-23T15:44:04Z05/07/200705/07/2007info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://www.spiedigitallibrary.org/conference-proceedings-of-spie/6565/65650W/Scintillometer-networks-for-calibration-and-validation-of-energy-balance-and/10.1117/12.718124.short?SSO=1http://ridda2.utp.ac.pa/handle/123456789/4450http://ridda2.utp.ac.pa/handle/123456789/4450enginfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/44502021-07-06T15:34:45Z |
| spellingShingle | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms Hendrickx, Jan Scintillometer networks calibration energy balance sensing algorithms Scintillometer networks calibration energy balance sensing algorithms |
| status_str | publishedVersion |
| title | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms |
| title_full | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms |
| title_fullStr | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms |
| title_full_unstemmed | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms |
| title_short | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms |
| title_sort | Scintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithms |
| topic | Scintillometer networks calibration energy balance sensing algorithms Scintillometer networks calibration energy balance sensing algorithms |
| url | https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6565/65650W/Scintillometer-networks-for-calibration-and-validation-of-energy-balance-and/10.1117/12.718124.short?SSO=1 http://ridda2.utp.ac.pa/handle/123456789/4450 |