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Multi-model estimation of forest leaf area index in the Three Gorges Reservoir area |
Lixin DONG1,2,3 |
1.Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, Beijing 100081, China 2.National Satellites Meteorological Center, Beijing 100081, China 3.The Joint Center for Satellite Research and Applications, Chinese Academy of Meteorological Sciences, Beijing 100081, China |
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Abstract Leaf area index (LAI) is an important structural variable for quantitative study of the energy exchange characteristics of forest ecosystems. Based on field observations of LAI, 7 kinds of vegetation indexes and 5 custom vegetation indexes based on Landsat TM, LAI estimation model of different forest types were established through the model screening, in which the multiple regression model for coniferous forest and principal component analysis model for broad-leaved forest and mixed forest were used. Finally, the regional scale forest LAI distribution map was made through multiple model estimation. The accuracy of LAI is 0.829 4, 1.111 5 and 1.790 9 for coniferous forest, broad-leaved forest and mixed forest respectively. And the total R 2 is over 0.77 for all the forests. The results will provide basic data for forest ecosystem and carbon cycle studies.
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Keywords
forest leaf area index
vegetation index method
principal component analysis
Three Gorges Reservoir area
remote sensing
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Issue Date: 23 May 2019
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