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

页码：63 / 66

页数：4

共 50 条

[41] Building Long-term and Consistent Vegetation Index Based on Association Analysis between Different VI Products [J].

Sha, Zongyao ;

Bai, Yongfei .

ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 :5261-5266

[42] Hyperspectral imagery vegetation index and temporal analysis for corn yield estimation [J].

Yao, HB ;

Tian, L .

MONITORING FOOD SAFETY, AGRICULTURE, AND PLANT HEALTH, 2004, 5271 :218-228

[43] Analysis of the Vegetation Index Dynamics on the Base of Fuzzy Time Series Model [J].

Aliyev, Elchin ;

Rzayev, Ramin ;

Salmanov, Fuad .

INTELLIGENT COMPUTING, VOL 2, 2021, 284 :13-22

[44] A Special Vegetation Index for the Weed Detection in Sensor Based Precision Agriculture [J].

Hans-R. Langner ;

Hartmut Böttger ;

Helmut Schmidt .

Environmental Monitoring and Assessment, 2006, 117 :505-518

[45] Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove [J].

Yang, Gang ;

Huang, Ke ;

Sun, Weiwei ;

Meng, Xiangchao ;

Mao, Dehua ;

Ge, Yong .

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2022, 189 :236-254

[46] Camera-Based Vegetation Index from Unmanned Aerial Vehicles [J].

Kusnandar, Toni ;

Surendro, Kridanto .

PROCEEDINGS OF 2021 INTERNATIONAL CONFERENCE ON SUSTAINABLE INFORMATION ENGINEERING AND TECHNOLOGY, SIET 2021, 2021, :173-178

[47] Vegetation Index Based on Genetic Programming for Bare Ground Detection in the Amazon [J].

Munoz, Julian ;

Cobos, Carlos ;

Mendoza, Martha .

ADVANCES IN COMPUTATIONAL INTELLIGENCE, MICAI 2017, PT II, 2018, 10633 :259-271

[48] A special vegetation index for the weed detection in sensor based precision agriculture [J].

Langner, Hans-R. ;

Boettger, Hartmut ;

Schmidt, Helmut .

ENVIRONMENTAL MONITORING AND ASSESSMENT, 2006, 117 (1-3) :505-518

[49] Universal Normalized Vegetation Index (UNVI) and UNVI software based on IDL [J].

Hu S. ;

Zhang C. ;

Qiao N. ;

Sun X. ;

Zhong T. .

Yaogan Xuebao/Journal of Remote Sensing, 2019, 23 (05) :952-958

[50] Comparison of the NDVI, ARVI and AFRI vegetation index, along with their relations with the AOD using SPOT 4 vegetation data [J].

Liu, GR ;

Liang, CK ;

Kuo, TH ;

Lin, TH ;

Shih-Jen-Huang .

TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, 2004, 15 (01) :15-31

← 1 2 3 4 5 →