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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Assessing the Three-North Shelter Forest Program in China by a novel framework for characterizing vegetation changes
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Assessing the Three-North Shelter Forest Program in China by a novel framework for characterizing vegetation changes

机译：通过表征植被变化的新颖框架评估中国的“三北防护林”计划

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摘要

The Three-North Shelter Forest Program (TNSFP) in China has been intensely invested for approximately 40 years. However, the efficacy of the TNSFP has been debatable due to the spatiotemporal complexity of vegetation changes. A novel framework was proposed for characterizing vegetation changes in the TNSFP region through Combining Trend and Temporal Similarity trajectory (COTTS). This framework could automatically and continuously address the fundamental questions on where, what, how and when vegetation changes have occurred. Vegetation trend was measured by a non-parametric method. The temporal similarity trajectory was tracked by the Jeffries-Matusita UM) distance of the inter-annual vegetation indices temporal profiles and modeled using the logistic function. The COTTS approach was applied to examine the afforestation efforts of the TNSFP using 500 m 8-day composites MODIS datasets from 2001 to 2015. Accuracy assessment from the 1109 reference sites reveals that the COTTS is capable of automatically determining vegetation dynamic patterns, with an overall accuracy of 90.08% and a kappa coefficient of 0.8688. The efficacy of the TNSFP was evaluated through comprehensive considerations of vegetation, soil and wetness. Around 45.78% areas obtained increasing vegetation trend, 2.96% areas achieved bare soil decline and 4.50% areas exhibited increasing surface wetness. There were 4.49% areas under vegetation degradation & desertification. Spatiotemporal heterogeneity of efficacy of the TNSFP was revealed: great vegetation gain through the abrupt dynamic pattern in the semi-humid and humid regions, bare soil decline & potential efficacy in the semi-arid region and remarkable efficacy in functional region of Eastern Ordos. (C) 2017 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
机译：中国的三北防护林计划（TNSFP）已进行了大约40年的大力投资。然而，由于植被变化的时空复杂性，TNSFP的功效值得商de。通过结合趋势和时间相似轨迹（COTTS），提出了一个新颖的框架来表征TNSFP地区的植被变化。该框架可以自动，持续地解决有关植被变化发生在哪里，什么，如何以及何时的基本问题。植被趋势通过非参数方法进行测量。通过年际植被指数时间剖面的Jeffries-Matusita UM距离跟踪时间相似性轨迹，并使用逻辑函数进行建模。使用COTTS方法，使用2001年至2015年的500 m 8天复合MODIS数据集，研究了TNSFP的造林工作。从1109个参考点进行的准确性评估表明，COTTS能够自动确定植被的动态格局，总体而言准确度为90.08％，卡伯系数为0.8688。通过全面考虑植被，土壤和湿度来评估TNSFP的功效。大约45.78％的区域获得了增加的植被趋势，2.96％的区域实现了裸土减少，而4.50％的区域表现出了增加的表面湿度。植被退化和荒漠化占4.49％。揭示了TNSFP功效的时空异质性：通过在半湿润和潮湿地区的突然动态模式，在半干旱地区裸露的土壤退化和潜在功效以及在鄂尔多斯东部地区的显着功效，植被获得了巨大的收益。 （C）2017国际摄影测量与遥感学会（ISPRS）。由Elsevier B.V.发布。保留所有权利。

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  • 作者

    Qiu Bingwen; Chen Gong; Tang Zhenghong; Lu Difei; Wang Zhuangzhuang; Chen Chongchen;

  • 作者单位

    Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Natl Engn Res Ctr Geospatial Informat Technol, Fuzhou 350116, Fujian, Peoples R China;

    Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Natl Engn Res Ctr Geospatial Informat Technol, Fuzhou 350116, Fujian, Peoples R China;

    Univ Nebraska, Community & Reg Planning Program, Lincoln, NE 68558 USA;

    Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Natl Engn Res Ctr Geospatial Informat Technol, Fuzhou 350116, Fujian, Peoples R China;

    Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Natl Engn Res Ctr Geospatial Informat Technol, Fuzhou 350116, Fujian, Peoples R China;

    Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Natl Engn Res Ctr Geospatial Informat Technol, Fuzhou 350116, Fujian, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    Temporal similarity trajectory; Jeffries-Matusita distance; Three-North Shelter Forest Program (TNSFP); Vegetation trend; Change process;

    机译：时间相似性轨迹;杰弗里斯-玛图西塔距离;三北防护林计划（TNSFP）;植被趋势;变化过程;

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