干旱区生态环境知识资源中心(Arid): Inconsistency distribution patterns of different remote sensing land-cover data from the perspective of ecological zoning

Arid

DOI	10.1515/geo-2020-0014
	Inconsistency distribution patterns of different remote sensing land-cover data from the perspective of ecological zoning
	Sui, Lichun 3; Kang, Junmei 3; Yang, Xiaomei 1,2,4; Wang, Zhihua 1,2; Wang, Jun 3
通讯作者	Wang, Zhihua
来源期刊	OPEN GEOSCIENCES
ISSN	2391-5447
出版年	2020
卷号	12 期号:1 页码:324-341
英文摘要	Analyzing consistency of different land-cover data is significant to reasonably select land-cover data for regional development and resource survey. Existing consistency analysis of different datasets mainly focused on the phenomena of spatial consistency regional distribution or accuracy comparison to provide guidelines for choosing the land-cover data. However, few studies focused on the hidden inconsistency distribution rules of different datasets, which can provide guidelines not only for users to properly choose them but also for producers to improve their mapping strategies. Here, we zoned the Sindh province of Pakistan by the Terrestrial Ecoregions of the World as a case to analyze the inconsistency patterns of the following three datasets: GlobeLand30, FROM-GLC, and regional land cover (RLC). We found that the inconsistency of the three datasets was relatively low in areas having a dominant type and also showing homogeneity characteristics in remote sensing images. For example, cropland of the three datasets in the ecological zoning of Northwestern thorn scrub forests showed high consistency. In contrast, the inconsistency was high in areas with strong heterogeneity. For example, in the southeast of the Thar desert ecological zone where cropland, grassland, shrubland, and bareland were interleaved and the surface cover complexity was relatively high, the inconsistency of the three datasets was relatively high. We also found that definitions of some types in different classification systems are different, which also increased the inconsistency. For example, the definitions of grassland and bareland in GlobeLand30 and RLC were different, which seriously affects the consistency of these datasets. Hence, producers can use the existing landcover products as reference in ecological zones with dominant types and strong homogeneity. It is necessary to pay more attention on ecological zoning with complex land types and strong heterogeneity. An effective way is standardizing the definitions of complex land types, such as forest, shrubland, and grassland in these areas.
英文关键词	remote sensing land-cover data terrestrial ecoregions spatial consistency
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000551523400001
WOS关键词	ACCURACY ASSESSMENT ; USE/COVER CHANGE ; DATA SETS ; MODIS ; SEGMENTATION ; PRODUCTS ; GLC2000
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319717
作者单位	1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 3.Changan Univ, Coll Geol Engn & Geomat, Xian 710054, Shaanxi, Peoples R China; 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式 GB/T 7714	Sui, Lichun,Kang, Junmei,Yang, Xiaomei,et al. Inconsistency distribution patterns of different remote sensing land-cover data from the perspective of ecological zoning[J]. 中国科学院地理科学与资源研究所,2020,12(1):324-341.
APA	Sui, Lichun,Kang, Junmei,Yang, Xiaomei,Wang, Zhihua,&Wang, Jun.(2020).Inconsistency distribution patterns of different remote sensing land-cover data from the perspective of ecological zoning.OPEN GEOSCIENCES,12(1),324-341.
MLA	Sui, Lichun,et al."Inconsistency distribution patterns of different remote sensing land-cover data from the perspective of ecological zoning".OPEN GEOSCIENCES 12.1(2020):324-341.