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Information extraction of Dracaena sanderiana planting area based on Landsat8 OLI data |
Yueru WANG1,2, Pengpeng HAN2, Shujing GUAN1,2, Yu HAN2, Lin YI2, Tinggang ZHOU1(), Jinsong CHEN2 |
1.Key Laboratory of Eco-environments in Three Gorges Reservoir Region of Ministry of Education, School of Geographical Science, Southwest University, Chongqing 400715, China 2.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China |
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Abstract The Dracaena sanderiana, as an ornamental plant, has been extensively planted in southern China, and has good economic value. In order to monitor the planting situation of Dracaena sanderiana, the authors constructed a new index-“difference enhence between net and water index”(DENWI) as a characteristic parameter based on Landsat8 OLI remote sensing image. Object-oriented classification method was used to establish the Dracaena sanderiana information extraction rule set, the Dracaena sanderiana planting information was obtained, and two kinds of traditional information extraction methods were adopted for comparative study. The results show that, compared with the traditional method, the object-oriented classification method based on DENWI can extract the information of Dracaena sanderiana, with the overall classification accuracy being 98.46% and the kappa coefficient being 0.97. Remote sensing monitoring and extraction of Dracaena sanderiana planting information is feasible and advantageous, and it can provide scientific basis for monitoring and management of Dracaena sanderiana.
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Keywords
Dracaena sanderiana
information extraction
object-oriented
difference enhance between net and water index
Landsat8 OLI
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Corresponding Authors:
Tinggang ZHOU
E-mail: ztg@163.com
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Issue Date: 15 March 2019
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