JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI ›› 2020, Vol. 37 ›› Issue (4): 43-49.DOI: 10.11988/ckyyb.20190014

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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

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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