Remote estimation of leaf area index and green leaf biomass in maize canopies
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- Anatoly A. Gitelson
- Center for Advanced Land Management Information Technologies (CALMIT) University of Nebraska‐Lincoln Lincoln Nebraska USA
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- Andrés Viña
- Center for Advanced Land Management Information Technologies (CALMIT) University of Nebraska‐Lincoln Lincoln Nebraska USA
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- Timothy J. Arkebauer
- Department of Agronomy University of Nebraska‐Lincoln Lincoln Nebraska USA
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- Donald C. Rundquist
- Center for Advanced Land Management Information Technologies (CALMIT) University of Nebraska‐Lincoln Lincoln Nebraska USA
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- Galina Keydan
- Center for Advanced Land Management Information Technologies (CALMIT) University of Nebraska‐Lincoln Lincoln Nebraska USA
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- Bryan Leavitt
- Center for Advanced Land Management Information Technologies (CALMIT) University of Nebraska‐Lincoln Lincoln Nebraska USA
書誌事項
- 公開日
- 2003-03
- 権利情報
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- http://onlinelibrary.wiley.com/termsAndConditions#vor
- DOI
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- 10.1029/2002gl016450
- 公開者
- American Geophysical Union (AGU)
この論文をさがす
説明
<jats:p>Leaf area index (LAI) is an important variable for climate modeling, estimates of primary production, agricultural yield forecasting, and many other diverse studies. Remote sensing provides a considerable potential for estimating LAI at local to regional and global scales. Several spectral vegetation indices have been proposed, but their capacity to estimate LAI is highly reduced at moderate‐to‐high LAI. In this paper, we propose a technique to estimate LAI and green leaf biomass remotely using reflectances in two spectral channels either in the green around 550 nm, or at the red edge near 700 nm, and in the NIR (beyond 750 nm). The technique was tested in agricultural fields under a maize canopy, and proved suitable for accurate estimation of LAI ranging from 0 to more than 6.</jats:p>
収録刊行物
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- Geophysical Research Letters
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Geophysical Research Letters 30 (5), 1248-, 2003-03
American Geophysical Union (AGU)
