GIG OpenIR  > 中科院广州地化所(2009-)  > 期刊论文
Qiu, Jizhong1,2,3; Yang, Jingxue4; Wang, Yunpeng1; Su, Hua5
A comparison of NDVI and EVI in the DisTrad model for thermal sub-pixel mapping in densely vegetated areas: a case study in Southern China
Source PublicationINTERNATIONAL JOURNAL OF REMOTE SENSING
Corresponding AuthorWang, Yunpeng(wangyp@gig.ac.cn)
ISSN0143-1161
2018
Volume39Issue:8Pages:2105-2118
DOI10.1080/01431161.2017.1420929
Indexed BySCI
Language英语
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000424236900003
Funding OrganizationNSFC ; China National Key Technology RD Program ; China National 863 Program ; Natural Science Foundation
Citation statistics
Document Type期刊论文
Identifierhttp://ir.gig.ac.cn/handle/344008/36813
Collection中科院广州地化所(2009-)_期刊论文
Corresponding AuthorWang, Yunpeng
Affiliation1.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou, Guangdong, Peoples R China
2.Bur Land & Resources Chongzuo City, Chongzuo, Peoples R China
3.Univ Chinese Acad Sci, Beijing, Peoples R China
4.Guangdong Res Inst Water Resources & Hydropower, Guangzhou, Guangdong, Peoples R China
5.Fuzhou Univ, Natl Engn Res Ctr Geospatial Informat Technol, Minist Educ, Key Lab Spatial Data Min & Informat Sharing, Fuzhou, Fujian, Peoples R China
Recommended Citation
GB/T 7714
Qiu, Jizhong,Yang, Jingxue,Wang, Yunpeng,et al. A comparison of NDVI and EVI in the DisTrad model for thermal sub-pixel mapping in densely vegetated areas: a case study in Southern China[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2018,39(8):2105-2118.
APA Qiu, Jizhong,Yang, Jingxue,Wang, Yunpeng,&Su, Hua.(2018).A comparison of NDVI and EVI in the DisTrad model for thermal sub-pixel mapping in densely vegetated areas: a case study in Southern China.INTERNATIONAL JOURNAL OF REMOTE SENSING,39(8),2105-2118.
MLA Qiu, Jizhong,et al."A comparison of NDVI and EVI in the DisTrad model for thermal sub-pixel mapping in densely vegetated areas: a case study in Southern China".INTERNATIONAL JOURNAL OF REMOTE SENSING 39.8(2018):2105-2118.
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