摘要
为了有效监测与预警林地退化问题,保障林地生态系统的健康与功能,采用多源遥感数据与地面调查相结合的方法,将目光聚焦在我国中高纬度地区那些典型的林区之上,针对退化林地识别以及更新造林成效的动态评估,对其关键技术体系展开了一番细致的研究。在此过程中,构建起了一套退化林地识别指标体系,该体系把多时相光谱特征、纹理信息还有物候参数融合到了一起。还进一步发展出了一个造林成效量化评估模型,此模型是基于时间序列分解以及趋势检验来开展相关工作的。还对生态恢复过程所呈现出的时空异质性及其背后的驱动机制展开了系统的分析。通过这些研究,为提升林地生态恢复工程在精准管理方面的水平给予了相应的科学依据,并且也为其提供了有力的技术支撑。
In order to effectively monitor and warn of forest degradation issues,ensure the health and function of forest ecosystems,a combination of multi-source remote sensing data and ground surveys was adopted,focusing on typical forest areas in China's mid to high latitudes.A detailed study was conducted on the key technical system for identifying degraded forest land and dynamically evaluating the effectiveness of afforestation.During this process,a set of identification indicators for degraded forest land was constructed,which integrates multi temporal spectral features,texture information,and phenological parameters together.A quantitative evaluation model for afforestation effectiveness has been further developed,which is based on time series decomposition and trend testing to carry out related work.A systematic analysis was also conducted on the spatiotemporal heterogeneity and driving mechanisms behind the ecological restoration process.Through these studies,corresponding scientific basis has been provided to improve the level of precise management in forest ecological restoration projects,and strong technical support has also been provided.
作者
王力鹏
WANG Lipeng(Fuxin Forestry Development Service Center,Fuxin,Liaoning,123000,China)
出处
《工程建设(维泽科技)》
2025年第6期160-162,共3页
Engineering Construction
关键词
多源遥感数据
退化林地识别
动态监测
生态恢复力
multi source remote sensing data
identification of degraded forest land
dynamic monitoring
ecological resilience
