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
[21]   ESTIMATION OF THE LEAF AREA INDEX USING A MODIFIED TRIANGULAR DIFFERENCE VEGETATION INDEX [J].
Huang, Linsheng ;
Jiang, Jing ;
Song, Furan ;
Zhao, Jinling ;
Huang, Wenjiang .
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, :7200-7203
[22]   DEVELOPMENT OF A VEGETATION INDEX FOR ESTIMATION OF LEAF AREA INDEX BASED ON SIMULATION MODELING [J].
Wang, Fumin ;
Huang, Jingfeng ;
Chen, La .
JOURNAL OF PLANT NUTRITION, 2010, 33 (03) :328-338
[23]   A Novel Index to Detect Vegetation in Urban Areas Using UAV-Based Multispectral Images [J].
Lee, Geunsang ;
Hwang, Jeewook ;
Cho, Sangho .
APPLIED SCIENCES-BASEL, 2021, 11 (08)
[24]   Spatio-Temporal Evolution Analysis of the Urban Heat Island: A Case Study of Zhengzhou City, China [J].
Min, Min ;
Zhao, Hongbo ;
Miao, Changhong .
SUSTAINABILITY, 2018, 10 (06)
[25]   Remote Sensing Vegetation Classification Method Based on Vegetation Index and Convolution Neural Network [J].
Xu Mingzhu ;
Xu Hao ;
Kong Peng ;
Wu Yanlan .
LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (24)
[26]   Enhancing vegetation monitoring: a proposal for a Sentinel-2 based vegetation health index [J].
Kumar, Sandeep ;
Ghosh, Swarnendu Sekhar ;
Mandal, Dipankar ;
Bhattacharya, Avik ;
Porwal, Alok ;
Karthikeyan, L. .
FRONTIERS IN REMOTE SENSING, 2025, 6
[27]   Estimation of Cotton Leaf Area Index (LAI) Based on Spectral Transformation and Vegetation Index [J].
Ma, Yiru ;
Zhang, Qiang ;
Yi, Xiang ;
Ma, Lulu ;
Zhang, Lifu ;
Huang, Changping ;
Zhang, Ze ;
Lv, Xin .
REMOTE SENSING, 2022, 14 (01)
[28]   A new burn severity index based on land surface temperature and enhanced vegetation index [J].
Zheng, Zhong ;
Zeng, Yongnian ;
Li, Songnian ;
Huang, Wei .
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 45 :84-94
[29]   APPLICATION OF VEGETATION INDEX OF METEOROLOGICAL SATELLITE IN DROUGHT ANALYSIS OF NINGXIA [J].
Wang Lianxi ;
Hu Wendong ;
Zhang Feng Ningxia Meteorological Observatory ;
Yinchuan 750002 ;
China .
干旱区资源与环境 , 1993, (Z1) :379-381
[30]   Forecasting vegetation index based on vegetation-meteorological factor interactions with artificial neural network [J].
Kang, Lingjun ;
Di, Liping ;
Deng, Meixia ;
Yu, Eugene ;
Xu, Yang .
2016 FIFTH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2016, :140-145