基于kNDVI-Albedo-SWCI三维特征空间与XGBoost-SHAP的科尔沁沙地沙漠化时空格局与驱动因素分析

基于kNDVI-Albedo-SWCI三维特征空间与XGBoost-SHAP的科尔沁沙地沙漠化时空格局与驱动因素分析

曹婉颖, 段翰晨, 贾晓鹏

Spatiotemporal patterns and driving factors of aeolian desertification in the Horqin Sandy Land based on kNDVI-Albedo-SWCI three-dimensional feature space and XGBoost-SHAP analysis

Wanying Cao, Hanchen Duan, Xiaopeng Jia

表1 沙漠化现状与动态监测关键指标

Table 1 Key indicators for aeolian desertification status and dynamic monitoring

指标	公式
kNDVI	$k N D V I = t a n h [{(\frac{N I R - R E D}{2 σ})}^{2}]$
Albedo	$\begin{array}{l} A l b e d o = 0.356 B L U E + 0.13 R E D + 0.373 N I R + \\ 0.085 S W I R 1 + 0.072 S W I R 2 - 0.0018 \end{array}$
SWCI	$S W C I = \frac{S W I R 1 - S W I R 2}{S W I R 1 + S W I R 2}$