English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/137652
Compartir / Impacto:
Estadísticas
Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Título

Characterization of a Field Spectroradiometer for Unattended Vegetation Monitoring. Key Sensor Models and Impacts on Reflectance

AutorPacheco-Labrador, Javier; Martín, M. Pilar
Palabras claveSpectroradiometer
Automated system
Characterization
Sensor model
Dark current
Non-linearity
Temperature dependence
Spectral calibration
Cosine directional response
Hemispherical-conical reflectance factor
Fecha de publicación11-feb-2015
EditorMultidisciplinary Digital Publishing Institute
CitaciónSensors 15(2): 4154–4175 (2015)
ResumenField spectroradiometers integrated in automated systems at Eddy Covariance (EC) sites are a powerful tool for monitoring and upscaling vegetation physiology and carbon and water fluxes. However, exposure to varying environmental conditions can affect the functioning of these sensors, especially if these cannot be completely insulated and stabilized. This can cause inaccuracy in the spectral measurements and hinder the comparison between data acquired at different sites. This paper describes the characterization of key sensor models in a double beam spectroradiometer necessary to calculate the Hemispherical-Conical Reflectance Factor (HCRF). Dark current, temperature dependence, non-linearity, spectral calibration and cosine receptor directional responses are modeled in the laboratory as a function of temperature, instrument settings, radiation measured or illumination angle. These models are used to correct the spectral measurements acquired continuously by the same instrument integrated outdoors in an automated system (AMSPEC-MED). Results suggest that part of the instrumental issues cancel out mutually or can be controlled by the instrument configuration, so that changes induced in HCFR reached about 0.05 at maximum. However, these corrections are necessary to ensure the inter-comparison of data with other ground or remote sensors and to discriminate instrumentally induced changes in HCRF from those related with vegetation physiology and directional effects.
Versión del editorhttp://dx.doi.org/10.3390/s150204154
URIhttp://hdl.handle.net/10261/137652
DOI10.3390/s150204154
ISSN1424-8220
Aparece en las colecciones: (CCHS-IEGD) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
sensors-15-04154.pdf2,63 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 

Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.