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Forest and Grassland Resources Research >

2019 , Vol. 0 >Issue 1: 101 - 108

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2019.01.016

Scientific Research

Study on Forest Change Detection Method Based on Remote Sensing Data

  • Xun ZHAO ,
  • Cairong YUE
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  • Forestry College,Southwest Forestry University,Kunming 650224,China

Received date: 2018-09-29

  Revised date: 2018-11-01

  Online published: 2020-09-25

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Abstract

Forest resources management inventory is generally conducted every ten years,and the annual data updating is a technical problem that the forest resource management department urgently needs to solve.This study uses object-oriented approach to update the spatial informationof forest sub-compartment data based on the combination of the sub-compartment data and remote sensing technology.Taking Hutiaoxia township in Shangri-La as case study,this paper chooses the SPOT5 image in December 2008 and the forest resources management inventory data in 2006 to extract the forest land change information.The results show that the method can implement the rapid update of the spatial information of the forest resource management inventory data,objectively reflect the change information of the forest land,and meet the needs of the forest resource management department for the rapid extraction of forest land change information.

Key words： forest sub-compartment data; SPOT5; Shangri-La; object-oriented; forest change detection

Cite this article

Xun ZHAO , Cairong YUE . Study on Forest Change Detection Method Based on Remote Sensing Data[J]. Forest and Grassland Resources Research, 2019 , 0(1) : 101 -108 . DOI: 10.13466/j.cnki.lyzygl.2019.01.016

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