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首页> 外文期刊>Environmental Monitoring and Assessment >Mapping afforestation and deforestation from 1974 to 2012 using Landsat time-series stacks in Yulin District, a key region of the Three-North Shelter region, China
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Mapping afforestation and deforestation from 1974 to 2012 using Landsat time-series stacks in Yulin District, a key region of the Three-North Shelter region, China

机译:利用Landsat时间序列堆栈绘制了1974年至2012年之间的绿化和毁林情况,该区域位于中国三北防护林地区的重要地区榆林区

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摘要

The Three-North Shelter Forest Program is the largest afforestation reconstruction project in the world. Remote sensing is a crucial tool to map land use and land cover change, but it is still challenging to accurately quantify the change in forest extent from time-series satellite images. In this paper, 30 Landsat MSS/TM/ETM+ epochs from 1974 to 2012 were collected, and the high-quality ground surface reflectance (GSR) time-series images were processed by integrating the 6S atmosphere transfer model and a relative reflectance normalization algorithm. Subsequently, we developed a vegetation change tracking method to reconstruct the forest change history (afforestation and deforestation) from the time-series Landsat GSR images based on the integrated forest z-score (IFZ) model by Huang et al. (2009a), which was improved by multi-phenological IFZ models and the smoothing processing of IFZ data for afforestation mapping. The mapping result showed a large increase in the extent of forest, from 380,394 ha (14.8 % of total district area) in 1974 to 1,128,380 ha (43.9 %) in 2010. Finally, the land cover and forest change map was validated with an overall accuracy of 89.1 % and a kappa coefficient of 0.858. The forest change time was also successfully retrieved, with 22.2 % and 86.5 % of the change pixels attributed to the correct epoch and within three epochs, respectively. The results confirmed a great achievement of the ecological revegetation projects in Yulin district over the last 40 years and also illustrated the potential of the time-series of Landsat images for detecting forest changes and estimating tree age for the artificial forest in a semi-arid zone strongly influenced by human activities.
机译:三北防护林计划是世界上最大的造林改造项目。遥感是绘制土地利用和土地覆被变化图的关键工具,但是从时间序列卫星图像中准确量化森林范围的变化仍然是挑战。本文收集了1974年至2012年的30个Landsat MSS / TM / ETM +时期,并结合6S大气传输模型和相对反射率归一化算法处理了高质量的地面反射率(GSR)时间序列图像。随后,我们开发了一种植被变化追踪方法,以基于Huang等人的综合森林z分数(IFZ)模型,从Landsat GSR时间序列图像重建了森林变化历史(造林和毁林)。 (2009a),这是通过多物候IFZ模型和IFZ数据的平滑处理(用于造林测绘)进行了改进。制图结果显示森林面积大幅增加,从1974年的380,394公顷(占总面积的14.8%)到2010年的1,128,380公顷(占总面积的43.9%)。最后,对土地覆盖和森林变化图进行了总体验证。准确度为89.1%,卡伯系数为0.858。还成功检索了森林变化时间,其中22.2%和86.5%的变化像素分别归因于正确的时期和三个时期之内。结果证实了过去40年来榆林地区的生态植被恢复项目取得了巨大成就,并说明了Landsat影像时间序列在半干旱地区检测森林变化并估算人工林树龄的潜力受人类活动的强烈影响。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2013年第12期|9949-9965|共17页
  • 作者单位

    Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;

    Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;

    Commonwealth Scientific and Industrial Research Organisation (CSIRO), Division of Mathematics, Informatics and Statistics (CMIS), Private Bag 5, Wembley, WA 6913, Australia;

    Commonwealth Scientific and Industrial Research Organisation (CSIRO), Division of Mathematics, Informatics and Statistics (CMIS), Private Bag 5, Wembley, WA 6913, Australia;

    Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;

    Commonwealth Scientific and Industrial Research Organisation (CSIRO), Division of Mathematics, Informatics and Statistics (CMIS), Private Bag 5, Wembley, WA 6913, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Remote sensing; Three-North Shelter Forest Program; Forest change; Time-series; Afforestation; Deforestation;

    机译:遥感;三北防护林计划;森林变化;时间序列;造林;森林砍伐;

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