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作为地球上最重要的生态系统之一，森林具有丰富的生物多样性以及重要的生态价值。大兴安岭地区是我国北方重要的生态安全屏障，长时序的森林扰动监测有助于研究其森林受灾与恢复情况。本研究基于Google Earth Engine(GEE)平台，采用LandTrendr(LT)算法和长时序遥感影像，对1994—2021年东北大兴安岭地区的森林扰动区域展开系统监测，探索森林干扰和森林恢复的主要植被指数的变化，对森林野火发生的时空分布和强度进行重建。结果表明：1994—2021年该区域内发生多起野火，其中，选取的5个研究样点分别在2000、2003、2010年监测到有火灾发生，面积最大的火灾发生区约为21 167.65hm2。进一步分析显示，归一化差异水分指数(NDMI)和缨帽角度(TCA)指数对火灾后植被的生长情况反应较为明显，其中NDMI可以作为东北地区北方落叶林遭受野火后植被恢复监测的理想指标。
Abstract：As one of the most vital ecosystems on Earth,forests provide rich biodiversity and significant ecological value.The Greater Khingan Mountains(GKM)region serves as an important ecological security barrier in northern China.Long-time series forest disturbance monitoring helps study the forest disaster and recovery in this region.Utilizing the LandTrendr(LT)algorithm on the Google Earth Engine(GEE)platform with long-term remote sensing imagery,this study systematically monitored forest disturbance areas in the GKM(1994—2021)by analyzing changes in primary vegetation indices related to forest disturbance and recovery and reconstructing the spatiotemporal distribution and intensity of wildfires.Results show that multiple wildfires occurred in the study area during the 1994—2021 period.Specifically,five selected locations exhibited fire occurrences in 2000,2003,and 2010,with the largest burned area covering approximately 21 167.65 hm2.Further analysis indicated that the Normalized Difference Moisture Index(NDMI)and Tasseled Cap Angle(TCA)exhibited notable responses to post-fire vegetation regrowth.NDMI proved to be a reliable indicator for monitoring vegetation recovery after wildfires in the northern deciduous forests of Northeast China.
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基本信息:
DOI：10.16191/j.cnki.hbkx.2025.05.011
中图分类号:S718.5;P237
引用信息:
[1]蔡哲理,杨启杰,时子童,等.利用植被指数时间序列分析大兴安岭地区森林扰动与恢复[J].河北省科学院学报,2025,42(05):75-83.DOI:10.16191/j.cnki.hbkx.2025.05.011.
基金信息:
