Remote estimation of canopy chlorophyll content in crops

Geophysical Research Letters - Tập 32 Số 8 - 2005
Anatoly A. Gitelson1,2, Andrés Viña2, Verónica Ciganda3,2, Donald C. Rundquist1,2, Timothy J. Arkebauer4
1Also at School of Natural Resources, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
2Center for Advanced Land Management Information Technologies (CALMIT) University of Nebraska-Lincoln Lincoln Nebraska USA
3Also at Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
4Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA

Tóm tắt

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.

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Geophysical Research Letters

Tập 32 Số 8

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