Consistency Analysis of Remote Sensing Land Cover Products in the Tropical Rainforest Climate Region: A Case Study of Indonesia

doi:10.3390/rs12091410

	Consistency Analysis of Remote Sensing Land Cover Products in the Tropical Rainforest Climate Region: A Case Study of Indonesia
	Kang, Junmei 5,6; Wang, Zhihua 1,2; Sui, Lichun 5,6; Yang, Xiaomei 1,2,4; Ma, Yuanzheng 3; Wang, Jun 5,6
刊名	REMOTE SENSING
	2020-05-01
卷号	12 期号:9 页码:28
关键词	tropical rainforest land cover products 30-meter spatial consistency accuracy evaluation
DOI	10.3390/rs12091410
通讯作者	Yang, Xiaomei(yangxm@lreis.ac.cn)
英文摘要	Land cover changes in tropical rainforest climate zones play an important role in global climate change and the functioning of the Earth's natural system. Existing research on the consistency of different land cover products has mainly focused on administrative divisions (continental or national scales). However, the ongoing production of large regional or global land cover products with higher resolutions requires us to have a better grasp of confusing land types and their geographical locations for different zoning (e.g., geographical zoning) in order to guide the optimization of strategies such as zoning and sample selection in automated land cover classification. Therefore, we selected the GlobeLand30-2010, GLC_FCS30-2015, and FROM_GLC2015 global land cover products with a 30-m resolution covering Indonesia, which has a tropical rainforest climate, as a case study, and then analyzed these products in terms of areal consistency, spatial consistency, and accuracy evaluation. The results revealed that (a) all three land cover products revealed that forest is the main land cover type in Indonesia. The area correlation coefficient of any two products is better than 0.89; (b) the areas that are completely consistent among the three products account for 58% of the total area of Indonesia, mainly distributed in the central and northern parts of Kalimantan and Papua, which are dominated by forest land types. The spatial consistency of the three products is low, however, due to the complex surface types and staggered distributions of grassland, shrub, cultivated land, artificial surface, and other land cover types in Java, eastern Sumatra, and the eastern, southern, and northwestern sections of Kalimantan, where the elevation is less than 200 m. Given these results, land cover producers should take heed of the classification accuracy of these areas; (c) the absolute accuracy evaluation demonstrated that the GLC_FCS30-2015 product has the highest overall accuracy (65.59%), followed by the overall accuracy of the GlobeLand30-2010 product (61.65%), while the FROM_GLC2015 exhibits the lowest overall accuracy (57.71%). The mapping accuracy of the three products is higher for forests and artificial surfaces. The cropland mapping accuracy of the GLC_FCS30-2015 product is higher than those of the other two products. The mapping accuracy of all products is low for grassland, shrubland, bareland, and wetland. The classification accuracy of these land cover types requires further improvement and cannot be used directly by land cover users when conducting relevant research in tropical rainforest climate zones, since the utilization of these products could lead to serious errors.
资助项目	National Key Research and Development Program of China[2016YFB0501404] ; CAS Earth Big Data Science Project[XDA19060303] ; National Science Foundation of China[41671436] ; Innovation Project of LREIS[O88RAA01YA]
WOS关键词	SPATIAL-RESOLUTION ; SAMPLE SET ; CLASSIFICATION ; IMPACTS ; ACCURACY ; AMERICA ; GLC2000
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000543394000057
资助机构	National Key Research and Development Program of China ; CAS Earth Big Data Science Project ; National Science Foundation of China ; Innovation Project of LREIS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/162366]
专题	中国科学院地理科学与资源研究所
通讯作者	Yang, Xiaomei
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Minist Nat Resources, Topog Surveying Brigade 2, Xian 710054, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 5.Changan Univ, Geol Engn, Xian 710054, Peoples R China 6.Changan Univ, Inst Surveying & Mapping, Xian 710054, Peoples R China
推荐引用方式 GB/T 7714	Kang, Junmei,Wang, Zhihua,Sui, Lichun,et al. Consistency Analysis of Remote Sensing Land Cover Products in the Tropical Rainforest Climate Region: A Case Study of Indonesia[J]. REMOTE SENSING,2020,12(9):28.
APA	Kang, Junmei,Wang, Zhihua,Sui, Lichun,Yang, Xiaomei,Ma, Yuanzheng,&Wang, Jun.(2020).Consistency Analysis of Remote Sensing Land Cover Products in the Tropical Rainforest Climate Region: A Case Study of Indonesia.REMOTE SENSING,12(9),28.
MLA	Kang, Junmei,et al."Consistency Analysis of Remote Sensing Land Cover Products in the Tropical Rainforest Climate Region: A Case Study of Indonesia".REMOTE SENSING 12.9(2020):28.