| Retrieval model for estimating corn LAI in black soil region of Northeast China based on Perpendicolar Vegetation Index |
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| DOI：10.7606/j.issn.1000-7601.2008.03.06 |
| Key Words: hyperspectral corn LAI PVI soi-l line |
| Author Name | Affiliation | | LI Fengxiu | Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences, Changchun, Jilin 130012,China；Graduate School Chinese Academy of Sciences,Beijing 100049,China | | ZHANG Bai | Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences, Changchun, Jilin 130012,China | | SONG Kaishan | Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences, Changchun, Jilin 130012,China | | WANG Zongming | Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences, Changchun, Jilin 130012,China | | LIU Huanjun | Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences, Changchun, Jilin 130012,China；Graduate School Chinese Academy of Sciences,Beijing 100049,China | | YANG Fei | Northeast Institute of Geography and Agricultural Ecology Chinese Academy of Sciences, Changchun, Jilin 130012,China；Graduate School Chinese Academy of Sciences,Beijing 100049,China |
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| Abstract: |
| An experiment was carried out to evaluate the precision of hyperspectral reflectance models based on Perpendicolar Vegetation Index （PVI） which is formed by various bands for monitoring corn leaf area index （LAI）．Corn was cultivated under different water-fertilizer coupled control conditions and corn LAI was collected simultaneously with LI－COR LAI－2000 while corn canopy reflectance data and bare soil reflectance data were collected with ASD spectroradiometer （350～1050nm）．At first each band of NIR and red was applied to establish soi-l line based on which PVI could be established then to find out the best band for PVI；and then PVI with the best reflectance band was applied to regress against corn LAI．The result showed that the sampling wave band gap was narrower and the accuracy of retrieved was better．The best corn LAI model retrieved by sampling 1.4 nm interval PVI in 2004 was exponential model and the accuracy of estimation exponential model of LAI established with the wave went up to91．1％ and the standard error was 0.1997 RMSE=0．0399 which is qualified for 0．01 level．The PVI vegetation index established by hyperspectral data can highly estimate the corn LAI． |
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