Bulletin of Surveying and Mapping ›› 2020, Vol. 0 ›› Issue (2): 90-95.doi: 10.13474/j.cnki.11-2246.2020.0051

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Analysis of the Qilu Lake watershed landscape pattern based on multi-scale image data

BAI Shaoyun1, LIU Bin1, YU Peiheng2, CHEN Min2, PAN Jiawei2, CHEN Yiyun2,3   

  1. 1. Yunnan Survey and Design Institute of Water Conservancy and Hydropower, Kunming 650021, China;
    2. School of Resource and Environmental Science, Wuhan University, Wuhan 430079, China;
    3. State Key Laboratory of Soil and Sustainable Agriculture, Chinese Academy of Sciences, Nanjing 210008, China
  • Received:2019-10-12 Online:2020-02-25 Published:2020-03-04

Abstract: Landscape pattern is the concrete embodiment of landscape patch order and rule. Analysis of landscape pattern characteristics can promote the delimitation and management of the red line of watershed ecological protection in spatial structure. In addition, there may be differences in calculation results and inconsistent description of landscape pattern based on different remote sensing observation data sources. Taking Qilu Lake watershed as the research area, this paper uses the latest satellite remote sensing images of Entinel-2, GF-1 and Landsat 8 to calculate seven landscape indices of patch scale, type scale and landscape scale, discusses the current situation of landscape pattern in Qilu Lake watershed from two aspects including landscape type distribution and overall pattern, and analyses the similarities and differences of landscape pattern evaluation from different data sources. The results show that:① The landscape pattern of Qilu lake watershed is dominated by woodland and arable land, scattered with construction land and other lands. ② Different satellite remote sensing images have different descriptions of the landscape pattern of the watershed, and the image resolution has a significant positive correlation with Number of Patches, Largest Patch Index, Landscape Shape Index and Splitting Index and low correlation with Shannon's Diversity Index, Shannon's Evenness Index and Dominance Index.

Key words: multi-scale image data, landscape pattern, Qilu Lake watershed, largest patch index, shape index

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