Study on Spectral Saturation Characteristics of Leaf Area Index of Jinghong Rubber Forest Based on Multi-source Remote Sensing Data Synergy

This study uses the airborne LiDAR flight range of Jinghong City in Yunnan Province as the experimental area, and the tropical rubber forest as the research object. Landsat 8 OLI as the main source of information for terrestrial satellite imagery. Based on the early extraction of the ground LAI using airborne LiDAR point cloud data, the spectral saturation characteristics of the leaf area index were analyzed by means of the semivariogram function in geostatistics. The results show that the reflectance change of the near-infrared band increases with the increase of the leaf area index and then saturates. The reflectance of the remaining bands decreases with the increase of the leaf area index and then saturates; Leaf area index saturation increases in the visible range as the wavelength increases; the leaf area index saturation value decreases in the near-infrared and short-wave infrared bands with increasing wavelength. Some regularity has been summarized, but the difference is not obvious; The saturation values of the 1−7 band of Landsat 8 OLI are 5.08, 5.19, 5.22, 5.42, 7.51, 5.62, 5.62, the maximum value is near-infrared band, and the saturation value is 7.51. The minimum value is coastal band , the saturation value is 5.08, except for the large saturation value of the near-infrared band , the saturation values of the other bands are between 5−6.