IGSNRR OpenIR
Comparison of CBERS-04, GF-1, and GF-2 Satellite Panchromatic Images for Mapping Quasi-Circular Vegetation Patches in the Yellow River Delta, China
Liu, Qingsheng1,2; Huang, Chong1; Liu, Gaohuan1; Yu, Bowei1,3
2018-08-01
Source PublicationSENSORS
ISSN1424-8220
Volume18Issue:8Pages:20
Corresponding AuthorLiu, Qingsheng(liuqs@lreis.ac.cn)
AbstractVegetation in arid and semi-arid regions frequently exists in patches, which can be effectively mapped by remote sensing. However, not all satellite images are suitable to detect the decametric-scale vegetation patches because of low spatial resolution. This study compared the capability of the first Gaofen Satellite (GF-1), the second Gaofen Satellite (GF-2), and China-Brazil Earth Resource Satellite 4 (CBERS-04) panchromatic images for mapping quasi-circular vegetation patches (QVPs) with K-Means (KM) and object-based example-based feature extraction with support vector machine classification (OEFE) in the Yellow River Delta, China. Both approaches provide relatively high classification accuracy with GF-2. For all five images, the root mean square errors (RMSEs) for area, perimeter, and perimeter/area ratio were smaller using the KM than the OEFE, indicating that the results from the KM are more similar to ground truth. Although the mapped results of the QVPs from finer-spatial resolution images appeared more accurate, accuracy improvement in terms of QVP area, perimeter, and perimeter/area ratio was limited, and most of the QVPs detected only by finer-spatial resolution imagery had a more than 40% difference with the actual QVPs in these three parameters. Compared with the KM approach, the OEFE approach performed better for vegetation patch shape description. Coupling the CBERS-04 with the OEFE approach could suitably map the QVPs (overall accuracy 75.3%). This is important for ecological protection managers concerned about cost-effectiveness between image spatial resolution and mapping the QVPs.
Keywordvegetation patch CBERS-04 GF-1 GF-2 K-Means example-based feature extraction
DOI10.3390/s18082733
WOS KeywordHIGH-SPATIAL-RESOLUTION ; BANDED VEGETATION ; LANDSAT TM ; SPOT 5 ; CLASSIFICATION ; PATTERNS ; DYNAMICS ; SOIL ; ECOSYSTEMS ; QUICKBIRD
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41671422] ; National Natural Science Foundation of China[41471335] ; National Natural Science Foundation of China[41661144030] ; Innovation Project of LREIS[O88RA20CYA] ; Innovation Project of LREIS[08R8A010YA]
Funding OrganizationNational Natural Science Foundation of China ; Innovation Project of LREIS
WOS Research AreaChemistry ; Electrochemistry ; Instruments & Instrumentation
WOS SubjectChemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS IDWOS:000445712400333
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52868
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiu, Qingsheng
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Liu, Qingsheng,Huang, Chong,Liu, Gaohuan,et al. Comparison of CBERS-04, GF-1, and GF-2 Satellite Panchromatic Images for Mapping Quasi-Circular Vegetation Patches in the Yellow River Delta, China[J]. SENSORS,2018,18(8):20.
APA Liu, Qingsheng,Huang, Chong,Liu, Gaohuan,&Yu, Bowei.(2018).Comparison of CBERS-04, GF-1, and GF-2 Satellite Panchromatic Images for Mapping Quasi-Circular Vegetation Patches in the Yellow River Delta, China.SENSORS,18(8),20.
MLA Liu, Qingsheng,et al."Comparison of CBERS-04, GF-1, and GF-2 Satellite Panchromatic Images for Mapping Quasi-Circular Vegetation Patches in the Yellow River Delta, China".SENSORS 18.8(2018):20.
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