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author:

Huang, Y. (Huang, Y..) [1] | Zhang, Z. (Zhang, Z..) [2] | Huang, X. (Huang, X..) [3] | Hong, C. (Hong, C..) [4] | Wang, M. (Wang, M..) [5] | Zhang, R. (Zhang, R..) [6] | Zhang, X. (Zhang, X..) [7] | Zeng, J. (Zeng, J..) [8]

Indexed by:

Scopus

Abstract:

As the natural “link” between the atmosphere, soil and water, and vegetation plays an indicative role in the process of global change (Sun et al. in J Remote Sens 2(3):204–210, [9]). Vegetation index is usually used for the study of land cover, vegetation classification, and other fields. Among them, EVI improved the disadvantages of NDVI, including atmospheric noise, to better reflect the spatial difference of vegetation cover. In this paper, MOD13A3 data were selected to study the spatial and temporal pattern and changing trend of EVI in the Huang Huai Hai plain from 2001 to 2018. The results are as follows: (1) In 2018, the maximum EVI value of the Huang Huai Hai plain was 0.94, showing a pattern of more in the west and less in the east. The year was divided into three seasons: spring, summer, and autumn with the maximum value in summer. (2) EVI fluctuated slowly in the last 18 years, with a linear growth rate of 0.28%/5a. The vegetation in more than half of the study area showed an increasing trend. Although there was partial degradation, the overall environment developed in a good direction. © 2020, Springer Nature Singapore Pte Ltd.

Keyword:

EVI; Huang Huai Hai plain; MODIS

Community:

  • [ 1 ] [Huang, Y.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Zhang, Z.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 3 ] [Huang, X.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 4 ] [Hong, C.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 5 ] [Wang, M.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Zhang, R.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 7 ] [Zhang, X.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 8 ] [Zeng, J.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 9 ] [Zeng, J.]Key Laboratory of Spatial Data Mining & Information Sharing, Ministry of Education of China, Fuzhou, 350116, China
  • [ 10 ] [Zeng, J.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou, 350116, China

Reprint 's Address:

  • [Zeng, J.]College of Environment and Resources, Fuzhou UniversityChina

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Source :

Advances in Intelligent Systems and Computing

ISSN: 2194-5357

Year: 2020

Volume: 1031 AISC

Page: 459-466

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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