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基于GlobeLand 30数据和CA_Markov模型的郑州市2000-2020年地表覆盖变化特征及预测分析

刘培 贾守军 马朝阳 卢晓峰 韩瑞梅 贾函

水土保持通报2017,Vol.37Issue(4):282-287,6.
水土保持通报2017,Vol.37Issue(4):282-287,6.DOI:10.13961/j.cnki.stbctb.2017.04.048

基于GlobeLand 30数据和CA_Markov模型的郑州市2000-2020年地表覆盖变化特征及预测分析

Land Use and Land Cover Feature Analyses in Zhengzhou City During 2000 to 2020 Based on GlobeLand 30 and CA_Markov Model

刘培 1贾守军 2马朝阳 1卢晓峰 2韩瑞梅 1贾函2

作者信息

  • 1. 河南理工大学测绘与国土信息工程学院,河南焦作454000
  • 2. 河南理工大学矿山空间信息技术国家测绘与地理信息局重点实验室,河南焦作454000
  • 折叠

摘要

Abstract

[Objective] The common problem in the processing of remote sensing images,that is different classification algorithms may lead to different identification results of ground objects,was discussed,to provide reference information of urban change and decision making based on LULC analysis.[Methods] In this research GlobeLand 30 product and CA_Markov model were selected to monitor and analyze land use degree,entropy change of land use,spatial-temporal change of land use in Zhengzhou area from 2000 to 2020.[Results] (1) There was a great land use degree change from 2000 to 2010.During this period human-made cover type was increasing greatly;on the contrary,wetland,farmland,grassland were in a decreasing trend.Where human-made earth surface and wetland changed significantly.(2) The amount of land use was 8.04,entropy of land use and equilibrium degree were promoted,while dominance index decreased.(3) There were 68.88% and 49.99% increases for human-made earth surface and grass land respectively,and there were more than 30% increases for both of water surface and wetland.[Conclusion] There was a significant difference of landscape from 2000 to 2020.The complexity of land use was increasing,and the proportionality of land use raised.

关键词

GlobeLand 30/CA-Markov模型/地表覆盖变化/预测分析/郑州市

Key words

GlobeLand 30/CA_Markov model/land use and land cover change/Zhengzhou City

分类

信息技术与安全科学

引用本文复制引用

刘培,贾守军,马朝阳,卢晓峰,韩瑞梅,贾函..基于GlobeLand 30数据和CA_Markov模型的郑州市2000-2020年地表覆盖变化特征及预测分析[J].水土保持通报,2017,37(4):282-287,6.

基金项目

国家自然科学基金项目“基于半监督随机森林的城市地表覆盖主被动遥感数据协同分类研究”(41601450) (41601450)

河南省高等学校重点科研项目(16A420004) (16A420004)

河南省高校基本科研业务费专项(NSFRF140113) (NSFRF140113)

河南理工大学博士基金项目(B2015-20) (B2015-20)

河南省基础与前沿项目(152300410098) (152300410098)

水土保持通报

OA北大核心CSCDCSTPCD

1000-288X

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