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author:

Zeng, Shujiao (Zeng, Shujiao.) [1] | Wang, Xiaoqin (Wang, Xiaoqin.) [2] (Scholars:汪小钦) | Zhu, Xiongbin (Zhu, Xiongbin.) [3] | Wang, Zhenping (Wang, Zhenping.) [4] | Wu, Zuocheng (Wu, Zuocheng.) [5]

Indexed by:

CPCI-S

Abstract:

To effectively carry out soil and water conservation work and monitor soil erosion in Fujian Province, southeast of China, Universal Soil Loss Equation (USLE) model has been adopted. Landsat8 OLI images, combined with topographical data, soil data and rainfall data were used. Then the soil erosion modulus of Fujian Province was calculated quantitatively based on USLE and classified into different levels of soil erosion intensity. The spatial distribution characteristics of soil erosion in Fujian Province were analyzed. The results show that: The area of soil erosion in Fujian Province in 2015 is 10562.973 km(2), accounting for 8.51% of the area of the whole province. The soil erosion intensity concentrated in light mainly, accounting for 82.64% of total erosion area. The dominant serious and above serious soil erosion areas are located in the southeastern of Fujian Province, such as Quanzhou and Zhangzhou.

Keyword:

Fujian province Soil erosion Spatial distribution USLE

Community:

  • [ 1 ] [Zeng, Shujiao]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, 2 Xueyuan Rd, Fuzhou 350100, Fujian, Peoples R China
  • [ 2 ] [Wang, Xiaoqin]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, 2 Xueyuan Rd, Fuzhou 350100, Fujian, Peoples R China
  • [ 3 ] [Zhu, Xiongbin]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, 2 Xueyuan Rd, Fuzhou 350100, Fujian, Peoples R China
  • [ 4 ] [Wang, Zhenping]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, 2 Xueyuan Rd, Fuzhou 350100, Fujian, Peoples R China
  • [ 5 ] [Wu, Zuocheng]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, 2 Xueyuan Rd, Fuzhou 350100, Fujian, Peoples R China

Reprint 's Address:

  • 曾舒娇

    [Zeng, Shujiao]Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, 2 Xueyuan Rd, Fuzhou 350100, Fujian, Peoples R China

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Source :

2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)

ISSN: 2153-6996

Year: 2017

Page: 3464-3466

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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