Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within empirical approaches

Anita Simic; Jing M. Chen; Sylvain G. Leblanc; Andrew Dyk; Holly Croft; Tian Han

doi:10.1109/JSTARS.2013.2271583

Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within empirical approaches

Anita Simic
, Jing M. Chen
, Sylvain G. Leblanc
, Andrew Dyk
, Holly Croft
, Tian Han

G-Eco Research
University of Toronto
Canada Centre for Remote Sensing
Pacific Forestry Centre
Government of BC

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	6564462
Pages (from-to)	92-104
Number of pages	13
Journal	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume	7
Issue number	1
DOIs	https://doi.org/10.1109/JSTARS.2013.2271583
State	Published - Jan 2014
Externally published	Yes

ASJC Scopus Subject Areas

Computers in Earth Sciences
Atmospheric Science

Keywords

Chlorophyll
Hyperspectral vegetation indices
Leaf area index
Radiative transfer model

Access to Document

10.1109/JSTARS.2013.2271583

Cite this

Simic, A., Chen, J. M., Leblanc, S. G., Dyk, A., Croft, H., & Han, T. (2014). Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within empirical approaches. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(1), 92-104. Article 6564462. https://doi.org/10.1109/JSTARS.2013.2271583

Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within empirical approaches. / Simic, Anita; Chen, Jing M.; Leblanc, Sylvain G. et al.
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 1, 6564462, 01.2014, p. 92-104.

Research output: Contribution to journal › Article › peer-review

Simic, A, Chen, JM, Leblanc, SG, Dyk, A, Croft, H & Han, T 2014, 'Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within empirical approaches', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 1, 6564462, pp. 92-104. https://doi.org/10.1109/JSTARS.2013.2271583

@article{d449ddf21f364e9c8f03171f43ef6cc1,

title = "Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within empirical approaches",

keywords = "Chlorophyll, Hyperspectral vegetation indices, Leaf area index, Radiative transfer model",

author = "Anita Simic and Chen, \{Jing M.\} and Leblanc, \{Sylvain G.\} and Andrew Dyk and Holly Croft and Tian Han",

year = "2014",

month = jan,

doi = "10.1109/JSTARS.2013.2271583",

language = "English",

volume = "7",

pages = "92--104",

journal = "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",

issn = "1939-1404",

number = "1",

}

TY - JOUR

T1 - Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within empirical approaches

AU - Simic, Anita

AU - Chen, Jing M.

AU - Leblanc, Sylvain G.

AU - Dyk, Andrew

AU - Croft, Holly

AU - Han, Tian

PY - 2014/1

Y1 - 2014/1

KW - Chlorophyll

KW - Hyperspectral vegetation indices

KW - Leaf area index

KW - Radiative transfer model

UR - https://www.scopus.com/pages/publications/84891744013

UR - https://www.scopus.com/pages/publications/84891744013#tab=citedBy

U2 - 10.1109/JSTARS.2013.2271583

DO - 10.1109/JSTARS.2013.2271583

M3 - Article

AN - SCOPUS:84891744013

SN - 1939-1404

VL - 7

SP - 92

EP - 104

JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

IS - 1

M1 - 6564462

ER -

Testing the top-down model inversion method of estimating leaf reflectance used to retrieve vegetation biochemical content within empirical approaches

ASJC Scopus Subject Areas

Keywords

Access to Document

Other files and links

Cite this