Comparison of CBERS-04, GF-1, and GF-2 Satellite Panchromatic Images for Mapping Quasi-Circular Vegetation Patches in the Yellow River Delta, China

doi:10.3390/s18082733

	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, Qingsheng 1,2; Huang, Chong 1; Liu, Gaohuan 1; Yu, Bowei 1,3
刊名	SENSORS
	2018-08-01
卷号	18 期号:8 页码:20
关键词	vegetation patch CBERS-04 GF-1 GF-2 K-Means example-based feature extraction
ISSN号	1424-8220
DOI	10.3390/s18082733
通讯作者	Liu, Qingsheng(liuqs@lreis.ac.cn)
英文摘要	Vegetation 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.
资助项目	National 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]
WOS关键词	HIGH-SPATIAL-RESOLUTION ; BANDED VEGETATION ; LANDSAT TM ; SPOT 5 ; CLASSIFICATION ; PATTERNS ; DYNAMICS ; SOIL ; ECOSYSTEMS ; QUICKBIRD
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
语种	英语
出版者	MDPI
WOS记录号	WOS:000445712400333
资助机构	National Natural Science Foundation of China ; Innovation Project of LREIS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/52867]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Qingsheng
作者单位	1.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
推荐引用方式 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.