基于时序Landsat数据的浙江省竹林信息提取及时空演变

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英文篇名：Information Extracting and Spatiotemporal Evolution of Bamboo Forest Based on Landsat Time Series Data in Zhejiang Province 作者：李阳光 ; 杜华强 ; 毛方杰 ; 李雪建 ; 崔璐 ; 韩凝 ; 徐小军 英文作者：Li Yangguang;Du Huaqiang;Mao Fangjie;Li Xuejian;Cui Lu;Han Ning;Xu Xiaojun;State Key Laboratory of Subtropical Silviculture Zhejiang Provincial Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration School of Environmental and Resource Science,Zhejiang A&F University; 关键词：竹林 ; 时空演变 ; Landsat数据 ; 动态度 ; 土地利用变化 英文关键词：bamboo forest;;spatiotemporal evolution;;Landsat dataset;;dynamic degree;;land use change 中文刊名：LYKE 英文刊名：Scientia Silvae Sinicae 机构：省部共建亚热带森林培育国家重点实验室浙江省森林生态系统碳循环与固碳减排重点实验室浙江农林大学环境与资源学院; 出版日期：2019-03-15 出版单位：林业科学 年：2019 期：v.55 基金：浙江省与中国林业科学研究院省院合作林业科技项目(2017SY01);; 国家自然科学基金项目(31670644);; 浙江省自然基金(LR14C160001,LQ15C160003) 语种：中文; 页：LYKE201903010 页数：9 CN：03 ISSN：11-1908/S 分类号：91-99

摘要

【目的】提取浙江省不同时期竹林分布信息,分析其时空演变规律,揭示竹林面积变化与土地利用格局之间的关系,为国家及至全球尺度长时间序列的竹林时空动态研究提供参考。【方法】以浙江省为研究区,基于2000、2004和2008年Landsat5 TM及2014年Landast8 OLI时间序列影像数据,首先,对不同时期的Landsat数据进行大气校正和几何校正,采用最大似然法提取土地利用和竹林时空分布信息;然后,利用变化幅度和动态度2个指标分析4个时期、3个时间段的竹林时空演变规律;最后,建立全省土地利用时空转移矩阵,揭示竹林时空动态与土地利用格局之间的关系。【结果】1)基于时序Landsat数据提取的浙江省竹林信息精度较高,分类精度达75%以上,使用者精度达91%以上,且分类统计面积与实际清查面积高度吻合,面积提取精度达96%以上; 2) 2000—2014年浙江省竹林面积变化幅度和年均变化率分别为16.55%和1.18%,在时空上呈逐渐增加趋势; 3)浙江省竹林面积由2000年占全省面积的7.33%增长到2014年的8.56%,其中针叶林、阔叶林和农田3种土地利用类型变化对竹林面积增加的贡献最大,贡献率分别为28.62%、37.23%和16.15%。【结论】基于Landsat时间序列数据能够高精度监测浙江省竹林资源动态变化,针叶林、阔叶林和农田等土地利用类型减少对竹林面积时空演变具有显著影响。
        【Objective】 Monitoring bamboo forest resources and their changes using time series remote sensing has a great significance in achieving scientific management and efficient utilization of bamboo forest resources. 【Method】 This study extracted the information and analyzed spatiotemporal evolution of bamboo forest based on the Landsat5 TM and Landsat8 OLI time series data in 2000, 2004, 2008, and 2014 throughout Zhejiang Province to reveal the change of bamboo forest area and its response to land use change.Firstly, the land utilization information and spatiotemporal distribution of bamboo forest was extracted by maximum likelihood classification based on time series Landsat data, which was preprocessed by atmospheric correction and geometric correction. Secondly, the spatiotemporal evolution of bamboo forest during 2000—2014 using two indexes(variation amplitude and dynamic degree). Finally, the relationship between spatiotemporal dynamic of bamboo forest and land utilization pattern was analyzed based on the established provincial land use transition matrix.【Result】 The result showed that: 1) The extracted bamboo forest information based on time series Landsat data achieved a high accuracy, which yield more than 75% of classification accuracy and 91% of user's accuracy, and the extracted bamboo forest area was highly correlated with investigation data, with area accuracy of beyond 96%. 2) The bamboo forest in Zhejiang Province was increased from 2000 to 2014, the variation amplitude and annual change rate were 16.55% and 1.18% respectively. 3) The bamboo forest area accounted for 7.33% in 2000, and increased to 8.56% in 2014, wherein the land use change of coniferous forest, broad-leaved forest and cultivated land have a great contribution to the increased of bamboo forest area, with the contribution rate of 28.62%,37.23% and 16.15%, respectively.【Conclusion】 The bamboo forest resources could be accurately monitored based on the Landsat time series data, and the decreasing of coniferous forest, broad-leaved forest and cultivated land has significant influences on the spatiotemporal evolution of bamboo forest.

引文

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