期刊论文、会议论文

Wen, Min

英文

2018 FIFTH INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA)

2380-8039

2018

251-255

5th International Workshop on Earth Observation and Remote Sensing Applications (EORSA)

International Workshop on Earth Observation and Remote Sensing Applications

JUN 18-20, 2018

Xian, PEOPLES R CHINA

[Wen, Min;Chen, Jianan;Tang, Daisheng;Ren, Yukun;Luo, Pan;Wei, Fang] Cent South Univ Forestry & Technol, Coll Forestry, Changsha, Hunan, Peoples R China.

Xian Univ Sci & Technol, Changan Univ, Cent S Univ Forestry & Technol, Indiana State Univ, IEEE Geoscience & Remote Sensing Soc, Int Soc Photogrammetry & Remote Sensing, Grp Earth Observat, Beijing PIESAT Informat Technol Co Ltd, State Key Lab Geo Informat Engn, Xian Reconnaissance Inst Surveying & Mapping, MDPI, Remote Sensing Journal, Taylor & Francis Grp, CRC Press

Weng, Q Gamba, P Chang, NB Wang, G Yao, W

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-6642-5

10.1109/EORSA.2018.8598615

本校为第一且通讯机构

Vegetation coverage is an important model parameter in the study of changes in land cover changes, climate change, and other global ecological environmental impact factors. This paper used remote sensing images from 2000, 2005, 2011, and 2016 as data sources. Based on the NDVI pixel dichotomy, the coverage was calculated and the coverage was graded. The transfer matrix method and the difference method were used. The spatial autocorrelation analysis method was used to study the temporal and spatial dynamic changes of vegetation coverage. The results showed that the average coverage of the four ...