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REGularized canopy reFLECtance model. REGFLEC has been applied to a wide range of land cover types using a variety of remote sensing data sources, and LAI and Leaf chlorophyll retrieval accuracies have been shown to consistently range from 10% 20% with an absolute range of around 0.25 1.0 for LAI and 5 9 μg cm 2. For Leaf chlorophyll ( Houborg et al., 2015. Houborg et al., 2007, 2009; Houborg and Boegh, 2008; Houborg and Anderson, 2009. The REGularized canopy reFLECtance model, REGFLEC. Represents a nove...

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Overview | regflec.com Reviews
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REGularized canopy reFLECtance model. REGFLEC has been applied to a wide range of land cover types using a variety of remote sensing data sources, and LAI and Leaf chlorophyll retrieval accuracies have been shown to consistently range from 10% 20% with an absolute range of around 0.25 1.0 for LAI and 5 9 μg cm 2. For Leaf chlorophyll ( Houborg et al., 2015. Houborg et al., 2007, 2009; Houborg and Boegh, 2008; Houborg and Anderson, 2009. The REGularized canopy reFLECtance model, REGFLEC. Represents a nove...
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2 announcements
3 overview
4 methods
5 validation
6 publications
7 access
8 and leaf chlorophyll
9 responsible rasmus houborg
10 coupons
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Overview | regflec.com Reviews

https://regflec.com

REGularized canopy reFLECtance model. REGFLEC has been applied to a wide range of land cover types using a variety of remote sensing data sources, and LAI and Leaf chlorophyll retrieval accuracies have been shown to consistently range from 10% 20% with an absolute range of around 0.25 1.0 for LAI and 5 9 μg cm 2. For Leaf chlorophyll ( Houborg et al., 2015. Houborg et al., 2007, 2009; Houborg and Boegh, 2008; Houborg and Anderson, 2009. The REGularized canopy reFLECtance model, REGFLEC. Represents a nove...

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Publications

http://www.regflec.com/regflec/Publications.html

REGularized canopy reFLECtance model. Houborg, R., McCabe, M., Cescatti, A., Gao, F., Schull, M., Gitelson, A. (2015). Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC). Remote Sensing of Environment. 1694-1705 ( link to publisher. Houborg, R, and Cescatti, A. (2011). Advancing the use of remote sensing information for quantifying photosynthetic efficiency in space and time. HyspIRI Symposim on Ecosystem Data Pr...Houborg, ...

2

Data_access

http://www.regflec.com/regflec/Data_access.html

REGularized canopy reFLECtance model. The REGFLEC code is no longer being released via this website. It can still be made available for distribution to researchers interested in refining and further developing certain aspects of the retrieval system. An announcement will be made at a later stage regarding the expected delivery of this service. Please contact Rasmus Houborg at rasmus.houborg@regflec.com. For any further information.

3

Methods

http://www.regflec.com/regflec/Methods.html

REGularized canopy reFLECtance model. Please see Houborg et al. (2015). For an updated description of the retrieval methodology. As the radiometric information of pixels belonging to the same land cover class can be simultaneously incorporated in the inversion. LAI and C ab. Are then estimated on a pixel-wise basis using a combination of spectral relationships from the LUT database (step 5).

4

Validation

http://www.regflec.com/regflec/Validation.html

REGularized canopy reFLECtance model. Validation results for agricultural land cover types in Maryland, USA (based on SPOT-5 10m). Validation results for agricultural land cover types in Oklahoma, USA (based on SPOT-4 20m).

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regflec.com regflec.com

Overview

REGularized canopy reFLECtance model. REGFLEC has been applied to a wide range of land cover types using a variety of remote sensing data sources, and LAI and Leaf chlorophyll retrieval accuracies have been shown to consistently range from 10% 20% with an absolute range of around 0.25 1.0 for LAI and 5 9 μg cm 2. For Leaf chlorophyll ( Houborg et al., 2015. Houborg et al., 2007, 2009; Houborg and Boegh, 2008; Houborg and Anderson, 2009. The REGularized canopy reFLECtance model, REGFLEC. Represents a nove...

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