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Forest and Grassland Resources Research >

2021 , Vol. 0 >Issue 3: 96 - 100

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2021.03.015

Scientific Research

Extraction Method of Urban Forest Land Information Based on Spectral Information

  • Shuangshuang LIN ,
  • Jiusheng ZHONG ,
  • Xin HE ,
  • Li JIANG ,
  • Jiwei DUAN ,
  • Renli DAI ,
  • Zhiyuan HE
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  • College of Geography and Environmental Science,Guizhou Normal University,Guiyang 550025,China

Received date: 2021-04-25

  Revised date: 2021-05-13

  Online published: 2021-08-04

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Abstract

In order to study the extraction method of forest land information with more regional characteristics,some regions of Guiyang were selected as the research object,and the terrain information was preprocessed with the help of spectral information.The results showed that this method can effectively reduce the pressure of the segmentation model,and the IoU of this method was 0.943 6,which was 6.79% and 15.74% higher than U-Net method and NDVI threshold method respectively,,showing that the method is effective for extracting forest land information in urban area.

Key words： spectral information; regional characteristics; woodland extraction; normalized vegetation index; deep learning

Cite this article

Shuangshuang LIN , Jiusheng ZHONG , Xin HE , Li JIANG , Jiwei DUAN , Renli DAI , Zhiyuan HE . Extraction Method of Urban Forest Land Information Based on Spectral Information[J]. Forest and Grassland Resources Research, 2021 , 0(3) : 96 -100 . DOI: 10.13466/j.cnki.lyzygl.2021.03.015

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