长江科学院院报 ›› 2020, Vol. 37 ›› Issue (4): 43-49.DOI: 10.11988/ckyyb.20190014

• 水土保持与生态建设 • 上一篇    下一篇

基于年际Landsat系列数据的长汀县水土流失治理区植被恢复监测

张仕山1,2, 朱雄斌1,2,3, 汪小钦1,2   

  1. 1.福州大学 空间数据挖掘和信息共享教育部重点实验室,福州 350108;
    2.福州大学 卫星空间信息技术综合应用 国家地方联合工程研究中心,福州 350108;
    3.浙江省水利河口研究院,杭州 310000
  • 收稿日期:2019-01-04 出版日期:2020-04-01 发布日期:2020-05-21
  • 通讯作者: 汪小钦(1972-),女,福建古田人,研究员,博士,研究方向为资源环境遥感应用。E-mail: wangxq@fzu.edu.cn
  • 作者简介:张仕山(1994-),男,福建福鼎人,硕士研究生,研究方向为遥感信息处理与应用。E-mail:2717486646@qq.com
  • 基金资助:
    国家重点研发计划项目(20017YFB0504203);福建省高校产学合作项目(2017Y4010);中央引导地方科技发展专项(2017L3012)

Monitoring Vegetation Restoration in Soil and Water Loss Governance Area in Changting County Based on Interannual Landsat Time-series Dataset

ZHANG Shi-shan1,2, ZHU Xiong-bin1,2,3, WANG Xiao-qin1,2   

  1. 1.Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Educatio, Fuzhou University, Fuzhou 350108, China;
    2.National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou 350108, China;
    3.Zhejiang Institute of Hydraulics & Estuary, Hangzhou 310000, China
  • Received:2019-01-04 Online:2020-04-01 Published:2020-05-21

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摘要： 恢复植被是水土流失治理最普遍的一种方式,植被不仅可以提高水土保持能力,同时也能作为水土流失治理成效好坏的标准。以福建省长汀县2000—2010年治理区为主要研究对象,通过构建2000—2015年以年为时间间隔的季相一致的中等分辨率Landsat时序数据集,利用归一化植被指数NDVI时序集对治理区域植被生长状态进行监测,并定量分析植被恢复情况与治理时间长度以及治理方式之间的关系。结果表明:①治理区域植被整体恢复趋势要明显优于未治理区域;②不同治理方式下植被恢复也有所差别,园改、经济林果和重复治理下植被恢复相对较快,封禁治理下植被恢复速度相对缓慢;③不同治理方式下植被增长幅度存在差异;④同种治理方式下,不同年份开始治理的区域植被恢复趋势也存在一定差异性。研究结果可为区域水土流失治理模式的选择提供参考,以期实现水土流失治理成效定量分析。

关键词: 水土流失治理, Landsat时序数据集, 植被指数, 一元线性拟合, 植被恢复, 长汀县

Abstract: The restoration of vegetation is the most common approach to control soil and water loss. Vegetation not only improves the capacity of soil and water conservation, but also serves as a standard for soil erosion control. In this research we took the governance area of Changting County, Fujian Province from 2000 to 2010 as the research object. By constructing a medium-resolution time-series dataset from 2000 to 2015, we employed the NDVI time-series dataset to monitor the status of vegetation growth and quantified the relation between the restoration of vegetation and the time or pattern of governance. Results indicated that: (1) The overall tendency of vegetation restoration in the governance area is significantly better than that in untreated area. (2) the vegetation restoration under different governance patterns differs as well: the reform of forest-grass and economic fruit-forest as well as repetitive governance are faster to restore vegetation than closed-off reform. (3) The vegetation growth rate in different governance patterns varies also; whereas in the same governance model, the restoration tendency depends on governance age. The research findings are expected to offer reference for the selection of governance pattern and quantitative analysis.

Key words: soil and water erosion control, Landsat time-series dataset, vegetation index, unitary linear fitting, vegetation restoration, Changting county

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