Mostrar el registro sencillo del ítem

dc.contributor.authorHendrickx, Jan
dc.contributor.authorKleissl, Jan
dc.contributor.authorGómez Vélez, Jesús
dc.contributor.authorHong, Sung-ho
dc.contributor.authorFábrega, José
dc.contributor.authorVega, David
dc.contributor.authorMoreno Ramírez, Hernán
dc.contributor.authorOgden, Fred
dc.date.accessioned2018-03-23T15:44:04Z
dc.date.accessioned2018-03-23T15:44:04Z
dc.date.available2018-03-23T15:44:04Z
dc.date.available2018-03-23T15:44:04Z
dc.date.issued05/07/2007
dc.date.issued05/07/2007
dc.identifierhttps://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
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4450
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/4450
dc.descriptionAccurate 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.en_US
dc.description.abstractAccurate 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.en_US
dc.formatapplication/pdf
dc.formattext/html
dc.languageeng
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectScintillometeren_US
dc.subjectnetworksen_US
dc.subjectcalibrationen_US
dc.subjectenergy balanceen_US
dc.subjectsensing algorithmsen_US
dc.subjectScintillometer
dc.subjectnetworks
dc.subjectcalibration
dc.subjectenergy balance
dc.subjectsensing algorithms
dc.titleScintillometer networks for calibration and validation of energy balance and soil moisture remote sensing algorithmsen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


Ficheros en el ítem

FicherosTamañoFormatoVer

No hay ficheros asociados a este ítem.

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem