Canopy reflectances of corns soybean are measured with ASD FieldSpec during different corn growing stages; and simultaneously, LAIs are acquired. The relationship between canopy reflectance and LAI are analyzed with single variant and multivariant regression. It found that reflectance in green waveband red waveband and near infrared waveband have an direct relation to corn LAI while reflectance in other wavelength have an loose relation to corn LAI growing in different stages. By our study, It found that NDVI and RVI constructed by hyperspectral remote sensing reflectance can greatly improve remote sensing ability for estimation corn LAI. By comparison, it can be drawn that multivariant regression is the best method for estimating corn LAI with remote sensing model.
Song Kaishan, Zhang Bai, Wang Zongming, Dunan Hongtao
. Study on Hyperstectral Remote Sensing Estimation Model for the Corn LAI with Canopy Reflectance[J]. Chinese Agricultural Science Bulletin, 2005
, 21(1)
: 318
-318
.
DOI: 10.11924/j.issn.1000-6850.0501318
1Brogea N H, Mortensen J V. Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data. Remote Sensing of Environment,2002,81: 45~57
2Chen J M, Cihlar J. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sensing of Environment,1996, 55: 153~162
3Chason J W, Balsocchi D D, et al. A comparison of direct and indirect methods for estimating forest canopy leaf area[J]. Agricultural and Forest Meterology,1991,57:107~128
4Gitelson A A, Merzlyak M N. Signature analysis of leaf reflectance spectra: algorithm development for remote sensing of chlorophyll. J. Plant Physical, 1996, 148:494~500
5Blachburn G A. Quantifying chlorophylls and caroteniods at leaf and canopy scales: an evaluation of some hyperspectaral approaches. Remote Sensing of Environment, 1998,66: 273~285
6Blachburn G A, Milton E J. Seasonal variations in the spectral reflectance of deciduous tree canopies. Int.J. Remote Sensing, 1995, 16(4): 709~720
7 浦瑞良,宫鹏.高光谱遥感及其应用[M].北京:高等教育出版社,2000.43~47
8Blachburn G A. Relationships between spectral reflectance and pigment concentrations in stacks of deciduous broadleaves. Remote Sens. Environ., 1998,70:224~237
9 Turner D P, Cohen W B, Kennedy R E, et al. Relationships between Leaf Area Index and Landsat TM Spectral Vegetation Indices across Three Temperate Zone Sites[J]. Remote Sensing of Environment, 1999,70:52~68
10 Elvidge C D, Chen Z K. Comparison of Broad-Band and Narrow-band Red and Near-Infrared Vegetation Indices[J]. Remote Sensing of Environment,1995,54:38~48
11 Bouman B A. Accuracy of estimating the leaf area index from vegetation indices derived from crop Reflectance characteristics, a simulation study[J]. Int. J. Remote Sens,1992,13: 3069~3084
