草地学报2026，Vol.34Issue(8)：2921-2932,12.DOI:10.11733/j.issn.1007-0435.2026.08.016
基于多源遥感数据的退化草地修复效果评价研究
Evaluation of Degraded Grassland Restoration Effect Based on Multi-source Remote Sensing Data:A Case Study of Alpine Meadow in the Qinghai Section of Qilian Mountain National Park
摘要
Abstract
Evaluation of the effect of degraded grassland restoration is of crucial for optimizing restoration mea-sures and achieving sustainable utilization of grassland resources.However,current restoration evaluation mainly relies on manual ground surveys,making it difficult to meet the demands of large-scale,long-term dynamic monitoring.This study takes the restoration of degraded alpine grassland in Qilian Mountain National Park as an example.The spatial-temporal adaptive reflectance fusion model and multi-source remote sensing data were used to acquire a high spatial-temporal resolution NDVI dataset.Then the remote sensing estimation models for key grassland parameters were constructed to evaluate the restoration status of degraded grassland.The results show that(1)The models constructed based on high spatiotemporal resolution NDVI exhibited high accuracy,with R values of 0.82 and 0.89 and RMSE values of 12.02%and 32.36 g·m-2 for the coverage and above ground biomass(AGB)models,respectively.(2)The inversion results show that grass growth con-ditions significantly improved after the implementation of restoration measures(P<0.05),with coverage and AGB reached 1.32-2.17 times and 1.42-3.3 times of the values before the implementation of restoration mea-sures,respectively.(3)Over the past 25 years,coverage and AGB increased at annual rates of 1.24%and 3.23 g·m-2,respectively.The findings of this study provide technical support for evaluating the restoration effects of degraded alpine grasslands and offer a scientific basis for timely adjustments to restoration measures for degraded grasslands.关键词
修复效果评价/草地盖度/地上生物量/时空变化Key words
Evaluation of restoration effect/Grassland cover/Above ground biomass/Spatial-temporal variation分类
农业科技引用本文复制引用
于红妍,孟宝平,叶杨琪,陈金,冯硕,王致豪,罗顺华,王贤颖,黄涛,秦彧..基于多源遥感数据的退化草地修复效果评价研究[J].草地学报,2026,34(8):2921-2932,12.基金项目
青海省科技计划项目(2024-ZJ-750) （2024-ZJ-750）
海北州2022年中央林业草原生态保护恢复资金项目(北林草[2022]134号) （北林草[2022]134号）
祁连山国家公园青海片区草地生态系统斑块化格局及其对生态要素影响的研究(青林保[2025]439号)资助 （青林保[2025]439号）
