Vegetation index analysis based on CBERS using the city of Zhengzhou as an example

被引:0
作者
Li, Hongwei [1 ]
Zhang, Chengcai [1 ]
机构
[1] Zhengzhou Univ, Zhengzhou, Peoples R China
来源
2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 2 | 2008年
关键词
vegetation index; CBERS; image rectify;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With "3S" (GIS, GPS & RS) techniques as the background resource, remote sensing digital image management techniques as the support, and CBERS as the data, this paper explores CBERS data analysis of vegetation in the city of Zhengzhou. This design principally relies upon the CBERS image data from 2001 and 2006. Using ENVI, ERDAS, and ARCGIS to manage the data, it is possible to obtain two vegetation index thematic maps of Zhengzhou. The differences of the two maps show that the vegetation coverage of the urban areas of Zhengzhou city has expanded dramatically while the vegetation coverage and health degree have decreased in the northeastern and Southwestern areas.
引用
收藏
页码:63 / 66
页数:4
相关论文
共 50 条
[1]   Extraction of vegetation fraction information from CBERS images based on VBSI vegetation index in Kaixian county [J].
GAO Zhi-fang1 ;
2. College of Geographic Sciences .
Transactions of Nonferrous Metals Society of China, 2011, 21 (S3) :712-716
[2]   Extraction of vegetation fraction information from CBERS images based on VBSI vegetation index in Kaixian county [J].
Gao Zhi-fang ;
Niu Hai-peng ;
Liu Jin-ping .
TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA, 2011, 21 :S712-S716
[3]   Comparison of vegetation index from ASTER, CBERS and landsat ETM [J].
Du, Peijun ;
Zhang, Huapeng ;
Yuan, Linshan ;
Liu, Pei ;
Zhang, Hairong .
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, :3341-3344
[4]   Acquisitions of vegetation coverage and cultivated land occupationratio of Taiyuan Valley Plain for example using CBERS-02B CCD image [J].
Li Shiwei ;
Zhang Jilong ;
Yang Jason .
ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 :5663-5667
[5]   Remote Sensing Image Registration Using SIFT and Vegetation Index Analysis [J].
Lv, Buyun ;
Zhao, Liaoying ;
Li, Xiaorun .
2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014), 2014, :575-579
[6]   Vegetation Index Estimation by Chlorophyll Content of Grassland Based on Spectral Analysis [J].
Xiao Han ;
Chen Xiu-wan ;
Yang Zhen-yu ;
Li Huai-yu ;
Zhu Han .
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 34 (11) :3075-3078
[7]   CORRELATION ANALYSIS BETWEEN VEGETATION INDEX (NDVI) AND CANOPY COVERAGE (TOC) BASED ON REMOTE SENSING BY USING UAV [J].
Pascuzzi, Simone ;
Santoro, Francesco ;
Anifantis, Alexandros Sotirios ;
Cimino, Vincenzo .
18TH INTERNATIONAL SCIENTIFIC CONFERENCE ENGINEERING FOR RURAL DEVELOPMENT, 2019, :214-220
[8]   The Study of LAI Estimation Using a New Vegetation Index Based on CHRIS Data [J].
Wang Li-juan ;
Niu Zheng ;
Hou Xue-hui ;
Gao Shuai .
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33 (04) :1082-1086
[9]   Assessing vegetation degradation, in Loess Plateau by using potential vegetation index [J].
Sun, Jianguo ;
Ai, Tinghua ;
Zhao, Chuanyan ;
Yan, Haowen .
IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, :1794-+
[10]   Research on vegetation coverage optimisation of urban landscape based on vegetation index [J].
Yang, Hua .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL TECHNOLOGY AND MANAGEMENT, 2020, 23 (5-6) :359-370