LAI Inversion and Spatial Distribution Characteristics of Gurbantunggut Desert
Wenquan County Meteorological Bureau, Wenquan 833500, China
| Abstract: | Leaf area index (LAI) is an indispensable parameter for studying the exchange of material and energy on the surface of plant canopy, and it is also an important parameter for expressing the structural characteristics of plant canopy. Using the LAI remote sensing product data of MODIS data, it is of great significance to study the sensitivity analysis of vegetation LAI to monitoring and estimating ecological environment. The remote sensing inversion model of LAI was constructed by combining NDVI, SAVI, NDMI, N-BR, NBR2, MSAVI and EVI vegetation index data of Landsat8 OLI data. Through comparative analysis, the spatial distribution characteristics of leaf area index (LAI) in the study area of Gurbantunggut Desert were obtained. The analysis concluded that: (1) According to the linear fitting regression analysis, the seven vegetation indexes have a good correlation with leaf area index (LAI). The linear fitting relationship model of NDVI-LAI was better, and the correlation coefficient of NDVI and LAI in this study area (R2 = 0.871). (2) The distribution characteristics of leaf area index (LAI) in the study area were inverted by NDVI-LAI model (R2 = 0.23, RMSE = 1.801). (3) LAI of Gurbantunggut Desert According to the changes of the study area and the vegetation coverage area, it is concluded that with the increase of the distance of the vegetation coverage area, the LAI gradually decreases. |
| Keywords: | Leaf Area Index (LAI); Inversion Model; Landsat8 OLI Data; Gurbantunggut Desert |
| DOI: | 10.57237/j.res.2023.03.002 |
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Received: 28 November 2022
Accepted: 30 January 2023
Published Online: 9 October 2023
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