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Estimating canopy chlorophyll concentration from field and airborne spectra

Estimating canopy chlorophyll concentration from field and airborne spectra

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Original languageEnglish
Pages217-224
Number of pages8
JournalRemote Sensing of Environment
Journal publication dateJun 1999
Volume68
Issue3
DOIs
StatePublished

Abstract

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.

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