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author:

Xu, Z. (Xu, Z..) [1] (Scholars:许章华) | Huang, X. (Huang, X..) [2] | Zhang, H. (Zhang, H..) [3] | Liu, J. (Liu, J..) [4] | Chen, C. (Chen, C..) [5]

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Scopus

Abstract:

Dendrolimus punctatus Walker is one of the most dangerous defoliate insect pests which can cause severe damage to the forest, so it is of great significance to find a characteristic index which can identify the pest level effectively. Taking Sanming City, Jiangle County, Sha County and Yanping District in Nanping City in Fujian Province as the experimental areas, it constructs Dendrolimus pubctatus Walker damage characteristic index (DDCI) from the perspectives of leaf area, uniformity, greenness, moisture and characteristic bands with selected indicators of leaf area index (LAI), standard error of LAI (SEL), normalized difference vegetation index (NDVI), wetness from tasseled cap transformation, green band B2, red band B3 and near infrared band B4 on the basis of principal component analysis (PCA). This index is coupling to the data of ground-space and its total identification precision for pest damage is 79.35%, the total identification accuracy is 86.94% which indicates that it has good ability of identification for pest level. From the identification precision of DDCI in each level, it is highest for non-damage level reaching 95.56%, after which moderate damage is 83.33% and severe damage is 80.00% while it is lowest for mild damage, only reaching 59.57%. From the identification accuracy, non-damage level is 95.56%, after that severe damage is 95.00% and moderate damage is 91.15% while mild damage is 71.81%.

Keyword:

Characteristic bands; Dendrolimus punctatus Walker Damage Characteristic Index (DDCI); Leaf area index (LAI); Normalized difference vegetation index (NDVI); Standard error of LAI (SEL); Wetness from tasseled cap transformation (WET)

Community:

  • [ 1 ] [Xu, Z.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 2 ] [Xu, Z.]Fujian Provincial Key Laboratory of Resources and Environment, Monitoring and Sustainable Management, Utilization, Sanming, 365000, China
  • [ 3 ] [Xu, Z.]Key Lab of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China
  • [ 4 ] [Huang, X.]College of Environment and Resources, Fuzhou University, Fuzhou, 350116, China
  • [ 5 ] [Zhang, H.]Xiamen Administration Department of Afforestation, Xiamen, 361004, China
  • [ 6 ] [Liu, J.]Fujian Provincial Key Laboratory of Resources and Environment, Monitoring and Sustainable Management, Utilization, Sanming, 365000, China
  • [ 7 ] [Chen, C.]Key Lab of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou, 350116, China

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Source :

Disaster Advances

ISSN: 0974-262X

Year: 2017

Issue: 3

Volume: 10

Page: 16-26

2 . 2 7 2

JCR@2012

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: 3

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