Lu Tengfei, Li Yuanjie, Shi Kaize, Qin Yan, Lang Xiaoxue, Yuan Qihui, Xu Tingting. Optical Remote Sensing Saturation Characteristics of Biomass of Pinus yunnanensis Forests in Different Ecological Regions of Yunnan Province[J]. Journal of Southwest Forestry University, 2024, 44(6): 135-140. DOI: 10.11929/j.swfu.202310010
Citation: Lu Tengfei, Li Yuanjie, Shi Kaize, Qin Yan, Lang Xiaoxue, Yuan Qihui, Xu Tingting. Optical Remote Sensing Saturation Characteristics of Biomass of Pinus yunnanensis Forests in Different Ecological Regions of Yunnan Province[J]. Journal of Southwest Forestry University, 2024, 44(6): 135-140. DOI: 10.11929/j.swfu.202310010

Optical Remote Sensing Saturation Characteristics of Biomass of Pinus yunnanensis Forests in Different Ecological Regions of Yunnan Province

  • The study calculated the aboveground biomass density of Pinus yunnanensis forests using forest resource secondary survey data based on Landsat 8 OLI remote sensing images. Using the semi variogram in geostatistics, the spectral saturation characteristics of the original band of biomass were analyzed. The results showed that except for the CY ecological regions, the biomass of P. yunnanensis forests in all ecological regions had the strongest negative correlation with the original band of b6 of OLI. The reflectance of the b6 band in each ecological regions decreases with the increase of biomass and eventually tends to saturation, showing a certain regularity. The biomass saturation values of each ecological regions are 205.863 t/hm2 for NW, 118.675 t/hm2 for NE, 223.375 t/hm2 for CY, 190.385 t/hm2 for SC, 210.750 t/hm2 for SW, and 167.354 t/hm2 for SY. The higher saturation values occur in the central and western regions of Yunnan, while the lower saturation points are distributed in the northeast and southern regions of Yunnan, which is strongly correlated with the suitable growth areas of P. yunnanensis forests. This provides a reference for the saturation phenomenon in estimating biomass using optical remote sensing data sources and technical support for precise inversion of biomass.
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