Remote sensing detection of vegetation health status after ecological restoration in soil and water loss region - Details

author：

Hu, X.-J. (Hu, X.-J..) ^[1] | Xu, H.-Q. (Xu, H.-Q..) ^[2] | Guo, Y.-B. (Guo, Y.-B..) ^[3] | Zhang, B.-B. (Zhang, B.-B..) ^[4]

Indexed by：

Scopus PKU CSCD

Abstract：

This　paper　proposed　a　vegetation　health　index　(VHI)　to　rapidly　monitor　and　assess　vegetation　health　status　in　soil　and　water　loss　region　based　on　remote　sensing　techniques　and　WorldView2　imagery.　VHI　was　constructed　by　three　factors,　i.e.,　the　normalized　mountain　vegetation　index,　the　nitrogen　reflectance　index　and　the　reflectance　of　the　yellow　band,　through　the　principal　component　transformation,　in　order　to　avoid　the　deviation　induced　by　subjective　method　of　weighted　summation.　The　Hetian　Basin　of　Changting　County　in　Fujian　Province,　China,　was　taken　as　a　test　area　to　assess　the　vegetation　health　status　in　soil　and　water　loss　region　using　VHI.　The　results　showed　that　the　VHI　could　detect　vegetation　health　status　with　a　total　accuracy　of　91%.　The　vegetation　of　Hetian　Basin　in　good,　moderate　and　poor　health　status　accounted　for　10.1%,　49.2%　and　40.7%,　respectively.　The　vegetation　of　the　study　area　was　still　under　an　unhealthy　status　because　the　soil　was　poor　and　the　growth　of　newly　planted　vegetation　was　not　good　in　the　soil　and　water　loss　region.　©　2017,　Science　Press.　All　right　reserved.

Keyword：

Ecology; Hetian Basin; Principal component analysis; Remote sensing; Vegetation health index (VHI)

Community：

[ 1 ] [Hu, X.-J.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
[ 2 ] [Hu, X.-J.]Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 3 ] [Hu, X.-J.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou University, Fuzhou, 350116, China
[ 4 ] [Xu, H.-Q.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
[ 5 ] [Xu, H.-Q.]Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 6 ] [Xu, H.-Q.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou University, Fuzhou, 350116, China
[ 7 ] [Guo, Y.-B.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
[ 8 ] [Guo, Y.-B.]Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 9 ] [Guo, Y.-B.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou University, Fuzhou, 350116, China
[ 10 ] [Zhang, B.-B.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
[ 11 ] [Zhang, B.-B.]Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou, 350116, China
[ 12 ] [Zhang, B.-B.]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, Fuzhou University, Fuzhou, 350116, China

Reprint 's Address：

[Xu, H.-Q.]College of Environment and Resources, Fuzhou UniversityChina

Email：

hxu@fzu.edu.cn

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Source ：

Chinese Journal of Applied Ecology

ISSN： 1001-9332

Year： 2017

Issue： 1

Volume： 28

Page： 250-256

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 9

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 4

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