Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data

Zarco-Tejada, Pablo J.; Miller, John R.; Hu, B.; Harron, J.; Noland, Thomas L.; Mohammed, G. H.; Sampson, P. H.

Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data

Presented at the 2001 AVIRIS Workshop, JPL-NASA, Pasadena, California, Feb. 27th - March 2nd, 2001.

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Bibliographic Details
Main Authors:	Zarco-Tejada, Pablo J., Miller, John R., Hu, B., Harron, J., Noland, Thomas L., Mohammed, G. H., Sampson, P. H.
Format:	comunicación de congreso biblioteca
Language:	English
Published:	2001
Subjects:	Bioindicators, Canopy biophysical parameter, Chlorophyll content,
Online Access:	http://hdl.handle.net/10261/10643
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record_format	koha
spelling	dig-ias-es-10261-106432016-10-11T07:51:01Z Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data Zarco-Tejada, Pablo J. Miller, John R. Hu, B. Harron, J. Noland, Thomas L. Mohammed, G. H. Sampson, P. H. Bioindicators Canopy biophysical parameter Chlorophyll content Presented at the 2001 AVIRIS Workshop, JPL-NASA, Pasadena, California, Feb. 27th - March 2nd, 2001. This paper reports on progress made within the Bioindicators of Forest Sustainability Project (Mohammed et al., 1997; Sampson et al., 1998) to develop links between physiologically-based bio-indicators (e.g., pigment concentrations, chlorophyll fluorescence) from field and laboratory data and optical indices from hyperspectral remote sensing data for assessing forest condition. Peer reviewed 2009-02-12T15:56:13Z 2009-02-12T15:56:13Z 2001 comunicación de congreso http://purl.org/coar/resource_type/c_5794 http://hdl.handle.net/10261/10643 en open 151805 bytes application/pdf
institution	IAS ES
collection	DSpace
country	España
countrycode	ES
component	Bibliográfico
access	En linea
databasecode	dig-ias-es
tag	biblioteca
region	Europa del Sur
libraryname	Biblioteca del IAS España
language	English
topic	Bioindicators Canopy biophysical parameter Chlorophyll content Bioindicators Canopy biophysical parameter Chlorophyll content
spellingShingle	Bioindicators Canopy biophysical parameter Chlorophyll content Bioindicators Canopy biophysical parameter Chlorophyll content Zarco-Tejada, Pablo J. Miller, John R. Hu, B. Harron, J. Noland, Thomas L. Mohammed, G. H. Sampson, P. H. Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data
description	Presented at the 2001 AVIRIS Workshop, JPL-NASA, Pasadena, California, Feb. 27th - March 2nd, 2001.
format	comunicación de congreso
topic_facet	Bioindicators Canopy biophysical parameter Chlorophyll content
author	Zarco-Tejada, Pablo J. Miller, John R. Hu, B. Harron, J. Noland, Thomas L. Mohammed, G. H. Sampson, P. H.
author_facet	Zarco-Tejada, Pablo J. Miller, John R. Hu, B. Harron, J. Noland, Thomas L. Mohammed, G. H. Sampson, P. H.
author_sort	Zarco-Tejada, Pablo J.
title	Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data
title_short	Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data
title_full	Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data
title_fullStr	Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data
title_full_unstemmed	Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data
title_sort	chlorophyll a+b content estimation through turbid-medium and monte-carlo rt model inversion for forest canopies using hyperspectral data
publishDate	2001
url	http://hdl.handle.net/10261/10643
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Chlorophyll a+b content estimation through turbid-medium and Monte-Carlo RT model inversion for Forest Canopies using Hyperspectral Data

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