Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT + DART simulations

@inproceedings{HernndezClemente2012CarotenoidCE,
  title={Carotenoid content estimation in a heterogeneous conifer forest using narrow-band indices and PROSPECT + DART simulations},
  author={Roc{\'i}o Hern{\'a}ndez-Clemente and Rafael M. Navarro-Cerrillo and Pablo J. Zarco-Tejada},
  year={2012}
}
Article history: Received 19 January 2012 Received in revised form 17 August 2012 Accepted 12 September 2012 Available online xxxx 
Highly Cited
This paper has 38 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 28 extracted citations

Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle ( UAV )

P. J. Zarco-Tejadaa, M. L. Guillén-Climenta, +3 authors P. Martínc
2013
View 3 Excerpts
Highly Influenced

Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery

ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing • 2018
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 65 references

Disentangling the relationships between plant pigments and the photochemical reflectance index reveals a new approach for remote estimation of carotenoid content

S. R. Garrity, J.U.H. Eitel, L. A. Vierling
Remote Sensing of Environment, • 2011
View 20 Excerpts
Highly Influenced

Non-destructive optical detection of pigment changes during leaf senescence and fruit ripening

Mark N. Merzlyaka, Anatoly A. Gitelsonb, Olga B. Chivkunovaa, Victor Yu. Rakitinc
1999
View 6 Excerpts
Highly Influenced

Quantifying chlorophylls and carotenoids at leaf and canopy scales: An evaluation of some hyperspectral approaches

G. A. Blackburn
Remote Sensing of Environment, • 1998
View 4 Excerpts
Highly Influenced

Ratio analysis of re fl ectance spectra ( RARS ) : An algorithm for the remote estimation of the concentrations of chlorophyll a , chlorophyll b , and carotenoids in soybean leaves

E. W. Chappelle, M. S. Kim, J. E. McMurtrey
Remote Sensing of Environment • 1992
View 5 Excerpts
Highly Influenced

Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybean

E. W. Chappelle, M. S. Kim, J. E. McMurtrey, III
leaves. Remote Sensing of Environment, • 1992
View 6 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…