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RETRACTED ARTICLE: Prediction of mountain green vegetation coverage based on wireless sensor network and regional industrial economic convergence

Authors :
Hong Liang
Bize Zhang
Yin Qiong
Source :
Arabian Journal of Geosciences. 14
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

NDVI is an indicator of the best coverage in the growth status of vegetation, and is considered the most effective indicator. Based on the composite spatial resolution data proposed by NASA, the composite resolution is in the recent past. The maximum value reached over the years is 250m. A large number of correlation analysis methods are used to summarize the synthetic mean values ​in the extraction and analysis of basic information. At the same time, the growth of plants in different seasons of each year is also studied as well as changes in vegetation and its correlation with climate factors. The vegetation coverage in Wushan area has a certain influence on climate factors. Research has found that wireless sensor network is a relatively new type of multi-disciplinary high-tech technology, mainly composed of many kinds of sensor nodes, so that each user can use it at any time and place. Based on reliable information and data, far-reaching research and consideration can be carried out on the overall characteristics of the land in the region and the global climate environment. In real life, the technological development and innovation of enterprises are in a certain leading position and play a major role. However, due to many factors such as market power and geographical location, there are also differences in each different region. In terms of regional industries, the phenomenon of agglomeration will become the actual carrier of technological innovation and economic growth, but in fact, in the spatial study of China’s economic convergence and technological innovation, it is found that in the industrial economy and technology of each district, the innovation of the company is directly related to the geographical distribution.

Details

ISSN :
18667538 and 18667511
Volume :
14
Database :
OpenAIRE
Journal :
Arabian Journal of Geosciences
Accession number :
edsair.doi...........41b34e0eff46c80cd3fa19caaeb08128