Please wait a minute...
 
REMOTE SENSING FOR LAND & RESOURCES    2010, Vol. 22 Issue (1) : 107-111     DOI: 10.6046/gtzyyg.2010.01.20
Technology Application |
An Analysis of Land Use Change in Urban Boroler Areas of Shijiazhuang City
GAO Ying-chun 1,2, WANG Li-xiang 3, TONG Lian-jun 1, YIN Jun 4
1. Northeast Institute of Geography and Agroecology, CAS, Changchun 130012, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China; 3.Tianjin Land Reclamation & Expropriation Affairs Center, Tianjin 300221,China;
4.College of Urban and Rural Construction, Agricultural University of Hebei, Baoding 071001, China
Download: PDF(884 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  

 The urban border area is consistently in a dynamic change, and the management of land use change in such an area is

the key to coordinating urbanization with farmland protection. Based on the method of comparison after classification and taking

different time-based high-resolution remote sensing images as information sources, the authors extracted land change information

of 1994-2002 from the urban border areas of Shijiazhuang City. Based on an analysis of urban border land use change, the authors

put forward some proposals on the improvement of the urban border land-use management in Shijiazhuang City in future.

Keywords Agriculture and graziery mixed area      Land desertification      Remote sensing monitoring     
Issue Date: 22 March 2010
Service
E-mail this article
E-mail Alert
RSS
Articles by authors
Cite this article:   
GAO Ying-Chun, WANG Li-Xiang, TONG Lian-Jun, YIN Jun. An Analysis of Land Use Change in Urban Boroler Areas of Shijiazhuang City[J]. REMOTE SENSING FOR LAND & RESOURCES,2010, 22(1): 107-111.
URL:  
https://www.gtzyyg.com/EN/10.6046/gtzyyg.2010.01.20     OR     https://www.gtzyyg.com/EN/Y2010/V22/I1/107
[1] CHEN Dong, YAO Weiling. Automatic numbering and method improvement of mine patches based on ArcPy and custom ArcToolbox[J]. Remote Sensing for Land & Resources, 2021, 33(2): 262-269.
[2] WANG Jie, LIU Xiaoyang, YANG Jinzhong, ZHOU Yingjie, An Na, WANG Zhihui. Typical model analysis of mine geological environment restoration and management in Zhejiang Province based on domestic high-resolution satellite data[J]. Remote Sensing for Land & Resources, 2020, 32(3): 216-221.
[3] DIAO Mingguang, LIU Wenjing, LI Jing, LIU Fang, WANG Yanzuo. Dynamic change detection method of vector result data in mine remote sensing monitoring[J]. Remote Sensing for Land & Resources, 2020, 32(3): 240-246.
[4] Haigang SHI, Chunli LIANG, Jianyong ZHANG, Chunlei ZHANG, Xu CHENG. Remote sensing survey of the influence of coastline changes on the thermal discharge in the vicinity of Tianwan Nuclear Power Station[J]. Remote Sensing for Land & Resources, 2020, 32(2): 196-203.
[5] Xi LIU, Lina HAO, Xianhua YANG, Jie HUANG, Zhi ZHANG, Wunian YANG. Research and implementation of rapid statistical methods for mine remote sensing monitoring indicators[J]. Remote Sensing for Land & Resources, 2020, 32(2): 259-265.
[6] Jie WANG, Yaqiu YIN, Hang YU, Cunhao JIANG, Yu WAN. Remote sensing monitoring of mine geological environment in Zhejiang Province based on RS and GIS[J]. Remote Sensing for Land & Resources, 2020, 32(1): 232-236.
[7] Yuling ZHAO, Jinzhong YANG, Yaqiu YIN, Hang ZHAO, Jinbao HE, Han ZHANG. Research on remote sensing monitoring of zirconium-titanium sand mine exploitation and strategies of ecological restoration on the eastern beach of Hainan Island[J]. Remote Sensing for Land & Resources, 2019, 31(4): 143-150.
[8] Haiping WU, Shicun HUANG. Research on new construction land information extraction based on deep learning: Innovation exploration of the national project of land use monitoring via remote sensing[J]. Remote Sensing for Land & Resources, 2019, 31(4): 159-166.
[9] Zhen CHEN, Yunshi ZHANG, Yuanyu ZHANG, Lingling SANG. A study of remote sensing monitoring methods for the high standard farmland[J]. Remote Sensing for Land & Resources, 2019, 31(2): 125-130.
[10] Xianhua YANG, Jie HUANG, Li TIAN, Bei PENG, Lixiao XIAO, Xinlong SONG. Application of mine remote sensing monitoring to analysis of mine goaf stability[J]. Remote Sensing for Land & Resources, 2018, 30(3): 143-150.
[11] Chungui ZHANG, Bingqing LIN. Application of FY-2E data to remote sensing monitoring of sea fog in Fujian coastal region[J]. Remote Sensing for Land & Resources, 2018, 30(1): 7-7.
[12] XUE Qing, WU Wei, LI Mingsong, DONG Shuangfa, ZHANG Xinyi, SHI Haigang. Application of GF-1 satellite data to remote sensing monitoring of the mine[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(s1): 67-72.
[13] WANG Yijun, ZHAO Jun, WEI Wei, HAN Liqin. Remote sensing investigation and analysis of wetland in Gansu section of Heihe River Basin in the past 14 years[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(3): 111-117.
[14] SONG Yang, FANG Shibo, LIANG Hanyue, KE Lina. Comparison and application of agricultural drought indexes based on MODIS data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 215-220.
[15] DIAO Mingguang, XUE Tao, LIANG Jiandong, LI Jiancun, LIU Qiong. Description method for complex constraint of mine remote sensing monitoring attribute data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 197-201.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech