Remote estimation of canopy chlorophyll content in crops

Accurate estimation of spatially distributed chlorophyll content (Chl) in crops is of great importance for regional and global studies of carbon balance and responses to fertilizer (e.g., nitrogen) application. In this paper a recently developed conceptual model was applied for remotely estimating C...

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Published inGeophysical research letters Vol. 32; no. 8; pp. L08403 - n/a
Main Authors Gitelson, Anatoly A., Viña, Andrés, Ciganda, Verónica, Rundquist, Donald C., Arkebauer, Timothy J.
Format Journal Article
LanguageEnglish
Published American Geophysical Union 01.04.2005
Blackwell Publishing Ltd
Subjects
Agricultural systems
Bio-optics
Biogeophysics
Biogeosciences
Glycine max
Remote sensing
Zea mays
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Summary:Accurate estimation of spatially distributed chlorophyll content (Chl) in crops is of great importance for regional and global studies of carbon balance and responses to fertilizer (e.g., nitrogen) application. In this paper a recently developed conceptual model was applied for remotely estimating Chl in maize and soybean canopies. We tuned the spectral regions to be included in the model, according to the optical characteristics of the crops studied, and showed that the developed technique allowed accurate estimation of total Chl in both crops, explaining more than 92% of Chl variation. This new technique shows great potential for remotely tracking the physiological status of crops, with contrasting canopy architectures, and their responses to environmental changes.
Bibliography:ark:/67375/WNG-ZV66HB8N-B
ArticleID:2005GL022688
istex:816F0113AE6A73577DDD54A37FE3A71C645F08E8
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
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ISSN:0094-8276
1944-8007
DOI:10.1029/2005GL022688