Discovery - University of Dundee - Online Publications

Library & Learning Centre

Estimating canopy chlorophyll concentration from field and airborne spectra

Standard

Estimating canopy chlorophyll concentration from field and airborne spectra. / Jago, Rosemary A.; Cutler, Mark E. J. ; Curran, Paul J.

In: Remote Sensing of Environment, Vol. 68, No. 3, 06.1999, p. 217-224.

Research output: Contribution to journalArticle

Harvard

Jago, RA, Cutler, MEJ & Curran, PJ 1999, 'Estimating canopy chlorophyll concentration from field and airborne spectra' Remote Sensing of Environment, vol 68, no. 3, pp. 217-224., 10.1016/S0034-4257(98)00113-8

APA

Jago, R. A., Cutler, M. E. J., & Curran, P. J. (1999). Estimating canopy chlorophyll concentration from field and airborne spectra. Remote Sensing of Environment, 68(3), 217-224. 10.1016/S0034-4257(98)00113-8

Vancouver

Jago RA, Cutler MEJ, Curran PJ. Estimating canopy chlorophyll concentration from field and airborne spectra. Remote Sensing of Environment. 1999 Jun;68(3):217-224. Available from: 10.1016/S0034-4257(98)00113-8

Author

Jago, Rosemary A.; Cutler, Mark E. J. ; Curran, Paul J. / Estimating canopy chlorophyll concentration from field and airborne spectra.

In: Remote Sensing of Environment, Vol. 68, No. 3, 06.1999, p. 217-224.

Research output: Contribution to journalArticle

Bibtex - Download

@article{f03699f9adda4ef78147b622e0ef6b78,
title = "Estimating canopy chlorophyll concentration from field and airborne spectra",
author = "Jago, {Rosemary A.} and Cutler, {Mark E. J.} and Curran, {Paul J.}",
year = "1999",
doi = "10.1016/S0034-4257(98)00113-8",
volume = "68",
number = "3",
pages = "217--224",
journal = "Remote Sensing of Environment",
issn = "0034-4257",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Estimating canopy chlorophyll concentration from field and airborne spectra

A1 - Jago,Rosemary A.

A1 - Cutler,Mark E. J.

A1 - Curran,Paul J.

AU - Jago,Rosemary A.

AU - Cutler,Mark E. J.

AU - Curran,Paul J.

PY - 1999/6

Y1 - 1999/6

N2 - <p>This article investigates the effects of bark soil contamination and nitrogen application on the red edge-chlorophyll concentration relationship for a vegetation canopy. Field based canopy reflectance and chlorophyll concentration data were collected at a grassland field site affected by soil contamination and a winter wheat field; site affected by different levels of nitrogen fertilisation. The correlation between;een red edge position (REP) and canopy chlorophyll concentration tc;as r=0.84 and 0.80 for the grassland and winter;inter wheat; field sites, respectively. Ai rborne imaging spectrometry tc;ns used to generate REP images (units, nm) of the grassland and winter wheat;heat field sites. Strong correlations were;ere observed between REP and canopy chlorophyll concentration at both field sites. Predictive regression equations were developed to map canopy chlorophyll concentration across the field sites. The mts error of estimated chlorophyll concentration. was 0.42 ing g(-1) (+/-12.69% of mean) and 2.09 mg g(-1)(16.4% of mean) at the grassland and winter; wheat field sites respectively. Results demonstrated the use of remotely sensed estimates of the REP from both field and airborne spectrometers for estimating chlorophyll concentration and indicated the potential of this technique for inferring both land contamination and grain yield. (C) Elsevier Science Inc., 1999.</p>

AB - <p>This article investigates the effects of bark soil contamination and nitrogen application on the red edge-chlorophyll concentration relationship for a vegetation canopy. Field based canopy reflectance and chlorophyll concentration data were collected at a grassland field site affected by soil contamination and a winter wheat field; site affected by different levels of nitrogen fertilisation. The correlation between;een red edge position (REP) and canopy chlorophyll concentration tc;as r=0.84 and 0.80 for the grassland and winter;inter wheat; field sites, respectively. Ai rborne imaging spectrometry tc;ns used to generate REP images (units, nm) of the grassland and winter wheat;heat field sites. Strong correlations were;ere observed between REP and canopy chlorophyll concentration at both field sites. Predictive regression equations were developed to map canopy chlorophyll concentration across the field sites. The mts error of estimated chlorophyll concentration. was 0.42 ing g(-1) (+/-12.69% of mean) and 2.09 mg g(-1)(16.4% of mean) at the grassland and winter; wheat field sites respectively. Results demonstrated the use of remotely sensed estimates of the REP from both field and airborne spectrometers for estimating chlorophyll concentration and indicated the potential of this technique for inferring both land contamination and grain yield. (C) Elsevier Science Inc., 1999.</p>

U2 - 10.1016/S0034-4257(98)00113-8

DO - 10.1016/S0034-4257(98)00113-8

M1 - Article

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

IS - 3

VL - 68

SP - 217

EP - 224

ER -

Documents

Library & Learning Centre

Contact | Accessibility | Policy