Forest disturbance monitoring in Lishui City, China based on Landsat time series images and the Land Trendr algorithm
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摘要: 采用先进技术手段快速准确地获取森林扰动情况, 对维护森林生态安全具有重要意义。该文以浙江省丽水市为研究区域, 获取了1992—2022年6—8月所有的Landsat影像, 基于GEE平台上的LandTrendr算法分析了丽水市森林扰动特征, 对丽水市各县市的森林扰动情况进行时空分析, 并探讨了坡度、海拔和降水等自然因素对森林扰动的影响规律。研究发现, 丽水市在1992—2022年30 a间总体上呈现出植被干扰减少的趋势; 丽水市西北部的龙泉市和遂昌县是森林扰动最严重的地区, 2008年是森林扰动最大的一年; 此外, 坡度平缓和海拔高的地区以及降水量减少的年份都容易发生森林扰动。研究可为丽水市森林资源的保护和管理提供科学依据和参考意见。
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关键词:
- 时间序列 /
- LandTrendr /
- 谷歌地球引擎(GEE) /
- 森林扰动
Abstract: The rapid and accurate acquisition of forest disturbances using advanced technological methods is of great significance for maintaining forest ecological security. In this study, all Landsat images of Lishui City, China from June to August from 1992 to 2022 were acquired. Based on the LandTrendr algorithm on the Google Earth Engine (GEE) platform, this study analyzed the characteristics of forest disturbances in the city. A spatiotemporal analysis of forest disturbances across various counties and cities within Lishui was conducted, and the influence patterns of natural factors including slope, elevation, and precipitation on forest disturbances were also explored. The results indicate that vegetation disturbances in Lishui City generally decreased over the 30 years. Spatially, the most severe forest disturbances occurred in Longquan City and Suichang County located in northwestern Lishui City. Temporally, 2008 witnessed the most severe forest disturbances. In addition, areas with gentle slopes and high elevations, as well as years with reduced precipitation, were more sensitive to forest disturbance over the 30 years. This study will provide a scientific basis and reference for the preservation and management of forest resources in Lishui City.-
Key words:
- time series /
- LandTrendr /
- Google Earth Engine (GEE) /
- forest disturbance
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