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Updatable dataset revealing decade changes in land cover types in Mongolia
Wang, Juanle12,13,14,15; Wei, Haishuo11,14,15; Cheng, Kai13,14,15; Ochir, Altansukh9,10; Shao, Yating8,14,15; Yao, Jinyi11,14,15; Wu, Yuxin11,14,15; Han, Xuehua13,14,15; Davaasuren, Davaadorj7; Chonokhuu, Sonomdagva10
刊名GEOSCIENCE DATA JOURNAL
2022-02-14
页码14
ISSN号2049-6060
DOI10.1002/gdj3.149
通讯作者Wang, Juanle(wangjl@igsnrr.ac.cn)
英文摘要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.
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
语种英语
出版者WILEY
WOS记录号WOS:000754600400001
内容类型期刊论文
源URL[http://ir.qdio.ac.cn/handle/337002/177981]  
专题中国科学院海洋研究所
通讯作者Wang, Juanle
作者单位1.Xian Univ Sci & Technol, Coll Geomat, Xian, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China
3.Curtin Univ, Australasian Joint Res Ctr Bldg Informat Model, Sch Built Environm, Bentley, WA, Australia
4.Minist Sci & Technol Peoples Republ China, Natl Sci & Technol Infrastructure Ctr, Beijing, Peoples R China
5.Chinese Acad Forestry Sci, Inst Desertificat, Beijing, Beijing, Peoples R China
6.China Univ Min & Technol, Coll Geosci & Surveying Engn, Beijing, Beijing, Peoples R China
7.Natl Univ Mongolia, Sch Art & Sci, Ulaanbaatar, Mongolia
8.Jiangsu Ocean Univ, Sch Marine Technol & Geomat, Jiangsu, Jiangsu, Peoples R China
9.Natl Univ Mongolia, Inst Sustainable Dev, Ulaanbaatar, Mongolia
10.Natl Univ Mongolia, Sch Engn & Appl Sci, Ulaanbaatar, Mongolia
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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