Updatable dataset revealing decade changes in land cover types in Mongolia

doi:10.1002/gdj3.149

IOCAS-IR

	Updatable dataset revealing decade changes in land cover types in Mongolia
	Wang, Juanle 1,2,3,4; Wei, Haishuo 1,2,5; Cheng, Kai 1,2,3; Ochir, Altansukh 6,7; Shao, Yating 1,2,8; Yao, Jinyi 1,2,5; Wu, Yuxin 1,2,5; Han, Xuehua 1,2,3; Davaasuren, Davaadorj 9; Chonokhuu, Sonomdagva 6; Zhou, Yezhi 1,2,10; Zhang, Min 1,2,3; Cao, Xiaoming 11; Gao, Mengxu 12; Zhu, Junxiang 13; Li, Yifan 14; Li, Qiong1,2,8 ; Liang, Xiya 1,2,15; Li, Kai 1,2,10
	2022-02-14
发表期刊	GEOSCIENCE DATA JOURNAL
ISSN	2049-6060
页码	14
通讯作者	Wang, Juanle(wangjl@igsnrr.ac.cn)
摘要	The Mongolian Plateau (MP) is in the interior of Northeast Asia, far from the sea, and is extremely vulnerable to climate change and the deleterious effects of human activity. The United Nations Sustainable Development Goals (SDGs) explicitly set land degradation neutrality (LDN) as one of the sub-goals of the seventeen main tasks. However, achieving this goal in Mongolia, a country with a fragile and sensitive ecological environment and a lack of high-precision land cover and land degradation monitoring data, is challenging. In this study, we established rules for remote sensing-based land cover classification and reference threshold ranges based on an object-oriented remote sensing interpretation method. Then, we obtained the refined land cover data of Mongolia from 1990, 2000, 2010 and 2020 with 30-m resolution. The land cover classification of Mongolia comprises 11 categories: forest, meadow steppe, real steppe, desert steppe, barren, sand, desert, ice, water, cropland and built area. The overall classification accuracies, corresponding to the aforementioned data year, were 82.26%, 82.77%, 92.34% and 81.84%, respectively. We found that the land cover showed an apparent law of zonal gradual change. Among them, barren land, real steppe, desert steppe and forest were consistently the four major land cover types. Since the last 30 years, barren land areas present an overall decreasing trend, showing a trend of shrinking to the south. Overall, real steppe presents a wavelike decreasing trend, and desert steppe shows a fluctuating increasing trend. The forest area is relatively stable with no notable changes in spatial distribution. The dataset of this study fills the gaps in high-resolution land cover data for Mongolia, and it can provide fundamental scientific data to support sustainable development in the MP.
DOI	10.1002/gdj3.149
收录类别	SCI
语种	英语
资助项目	National Nature Science Foundation of China[41971385] ; Strategic Priority Research Program (Class A) of the Chinese Academy of Sciences[XDA2003020302] ; fund programme of the Asia Research Center, Mongolia ; Korea Foundation for Advanced Studies[P2018-3606] ; Construction Project of the China Knowledge Center for Engineering Sciences and Technology[CKCEST-2020-2-4]
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000754600400001
出版者	WILEY
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/177982
专题	中国科学院海洋研究所
通讯作者	Wang, Juanle
作者单位	1.Chinese Acad Sci, Inst Geog Sci, State Key Lab Resources & Environm Informat Syst, Beijing, Beijing, Peoples R China 2.Chinese Acad Sci, Nat Resources Res, Beijing, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China 5.Shandong Univ Technol, Sch Civil & Architectural Engn, Zibo, Peoples R China 6.Natl Univ Mongolia, Sch Engn & Appl Sci, Ulaanbaatar, Mongolia 7.Natl Univ Mongolia, Inst Sustainable Dev, Ulaanbaatar, Mongolia 8.Jiangsu Ocean Univ, Sch Marine Technol & Geomat, Jiangsu, Jiangsu, Peoples R China 9.Natl Univ Mongolia, Sch Art & Sci, Ulaanbaatar, Mongolia 10.China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing, Beijing, Peoples R China 11.Chinese Acad Forestry Sci, Inst Desertificat, Beijing, Beijing, Peoples R China 12.Minist Sci & Technol Peoples Republ China, Natl Sci & Technol Infrastructure Ctr, Beijing, Peoples R China 13.Curtin Univ, Australasian Joint Res Ctr Bldg Informat Model, Sch Built Environm, Bentley, WA, Australia 14.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China 15.Xian Univ Sci & Technol, Coll Geomat, Xian, Peoples R China
推荐引用方式 GB/T 7714	Wang, Juanle,Wei, Haishuo,Cheng, Kai,et al. Updatable dataset revealing decade changes in land cover types in Mongolia[J]. GEOSCIENCE DATA JOURNAL,2022:14.
APA	Wang, Juanle.,Wei, Haishuo.,Cheng, Kai.,Ochir, Altansukh.,Shao, Yating.,...&Li, Kai.(2022).Updatable dataset revealing decade changes in land cover types in Mongolia.GEOSCIENCE DATA JOURNAL,14.
MLA	Wang, Juanle,et al."Updatable dataset revealing decade changes in land cover types in Mongolia".GEOSCIENCE DATA JOURNAL (2022):14.

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