English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/10587
COMPARTIR / IMPACTO:
Estadísticas
logo share SHARE   Add this article to your Mendeley library MendeleyBASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:
Título

Needle Chlorophyll Content Estimation of Boreal Conifers using Hyperspectral Remote Sensing

AutorMoorthy, I.; Miller, John R.; Noland, Thomas L.; Nielsen, Udo; Zarco-Tejada, Pablo J.
Palabras claveChlorophyll
Pinus Banksiana
Needle reflectance
Forest monitoringi
Fecha de publicación2004
ResumenThis investigation quantitatively links physiologically based estimators of forest stand condition, such as chlorophyll concentration, to hyperspectral observations of Jack Pine (Pinus Banksiana), a dominant Boreal Forest species. Between June and September of 2001, four Intensive Field Campaigns (IFC) of data collection were conducted over the forested areas near Sudbury, Ontario, Canada. Using the CASI sensor, data were collected, in the visible and near infrared domain, over eight selected Jack Pine sites. Supplementing the airborne campaigns, was simultaneous onsite collection of foliage samples for laboratory spectral and chemical measurements. The study first linked needle-level reflectance and pigment content through the inversions of leaf level radiative transfer models such as PROSPECT. Next, the red-edge index (R750/710), was scaled up to the canopy level through the use of canopy models and infinite reflectance calculations, which simulate the canopy as an optically thick vegetation medium. However, for the relatively open and clumped jack pine stands such a simple approach requires careful validation due to the confounding effects of the open canopy structure. Accordingly, the analysis has focused on high spatial resolution CASI imagery (1 meter) for which tree crowns, shadows, and open (sun-lit) understory can be identified visually and approaches can be examined for validity and effects. Effectively eliminating these confounding variables will permit the generation of predictive needle pigment content maps for forest condition assessment.
Descripción2003 - International Geoscience and Remote Sensing Symposium, IGARSS'03. Toulouse (France), 21-25/7/2004
URIhttp://hdl.handle.net/10261/10587
ISBN0-7803-7929-2
0-7803-7930-6
Aparece en las colecciones: (IAS) Comunicaciones congresos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
37.pdf483,32 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 


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