Remote sensing monitoring of dynamic changes of vegetation information in Tangshan City

doi:10.6046/gtzyyg.2013.03.29

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Abstract

This paper aims at analyzing greenbelt distribution and change in Tangshan City and providing scientific basis and technical support for urban planning. In this paper, the authors provided a method for the extraction of the vegetation information in Tangshan City based on TM and ETM⁺ data. Vegetation information graph was calculated firstly by normalized difference vegetation index (NDVI), then through setting up the actual NDVI threshold parameter and the near infrared band threshold parameter, the accurate vegetation pixels were obtained, and vegetation information diagrams for several areas in Tangshan City were compiled. Using 3 periods of vegetation information diagrams during 1999—2009, a synthetic dynamic change diagram was computed. The diagram shows that, in the past 10 years, the park greenbelt as the mainly covering area of the city vegetation in Tangshan City has been increased. The effect of the South Lake ecological construction is obvious, and the city limits of Tangshan City have experienced expansion toward the peripheral area.

Keywords Luobusha ophiolite spectral angle mapper(SAM) spectral feature fitting(SFF)

TP 79

Issue Date: 03 July 2013

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	BIE Xiaojuan
	ZHANG Tingbin
	SUN Chuanmin
	GUO Na

Cite this article:

BIE Xiaojuan,ZHANG Tingbin,SUN Chuanmin, et al. Remote sensing monitoring of dynamic changes of vegetation information in Tangshan City[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(3): 178-182.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.03.29 OR https://www.gtzyyg.com/EN/Y2013/V25/I3/178

[1] 李宝华,孟华.基于TM影像的开封市绿地信息提取研究[J].泰山学院学报,2005,27(6):94-98. Li B H,Meng H.TM image based research of extraction technique of greenbelt information in Kaifeng[J].Journal of Taishan University,2005,27(6):94-98.

[2] 于明洋,崔健,徐秋晓,等.基于遥感技术的龙口市绿地覆盖监测与分析[J].山东建筑大学学报,2007,22(1):85-88. Yu M Y,Cui J,Xu Q X,et al.The monitoring and analysis of green cover in Longkou City based on the remote sensing technology[J].Journal of Shandong Jianzhu University,2007,22(1):85-88.

[3] 孙明,杨洋,沈渭寿,等.基于TM数据的雅鲁藏布江源区草地植被盖度估测[J].国土资源遥感,2012,24(3):71-77. Sun M,Yang Y,Shen W S,et al.Vegetation cover change detection in the cropping area based on TM image[J].Remote Sensing for Land and Resources,2012,24(3):92-97.

[4] 王晓东,何浩,侯东,等.基于TM图像的农业区域植被覆盖变化检测[J].国土资源遥感,2012,24(2):92-97. Wang X D,He H,Hou D,et al.Vegetation cover change detection in the cropping area based on TM image[J].Remote Sensing for Land and Resources,2012,24(2):92-97.

[5] 党青,杨武年.近20年成都市植被覆盖度动态变化检测及原因分析[J].国土资源遥感,2011,23(4):121-125. Dang Q,Yang W N.Supervision and reason analysis of vegetation coverage changes of Chengdu in the past 20 years[J].Remote Sensing for Land Resources,2011,23(4):121-125.

[6] 郭玉川,何英,李霞.基于MODIS的干旱区植被覆盖度反演及植被指数优选[J].国土资源遥感,2011,23(2):115-118. Guo Y C,He Y,Li X.Remote sensing inversion of vegetation coverage and optimization of vegetation index based on MODIS data in arid area[J].Remote Sensing for Land Resources,2011,23(2):115-118.

[7] Boffat A S.Resurgent forest can be greenhouse gas sponges[J].Science,1997,277(5324):315-316.

[8] Rouse J W,Haas R H,Schell J A.Monitoring vegetation systems in the great plains with ERTS［C］//3rd Earth Resource Technology Satellite(ERTS)Symposium NASA.Goddard Space Flight Center,1974,48(1):309-317.

[9] Trishchenko A P,Cihlar J,Li Z.Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sense[J].Remote Sensing of Environment,2002,81:1-18

[10] 黄颖.基于遥感的城市绿地提取研究[J].西部探矿工程,2008,20(3):64-66. Huang Y.TM image based research of extraction technique of greenbelt information[J].West-China Exploration Engineering,2008,20(3):64-66.

[11] 高芳琴,吴建平,孙建中,等.基于航空遥感数据的绿地信息提取与制图系统[J].国土资源遥感,2001,13(2):57-61. Gao F Q,Wu J P,Sun J Z,et al.The system for extracting and mapping of city green space based on aerial remote sensing data[J].Remote Sensing for Land Resources,2001,13(2):57-61.