Updatable dataset revealing decade changes in land cover types in Mongolia
Abstract 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...
| Main Authors: | , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-11-01
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| Series: | Geoscience Data Journal |
| Online Access: | https://doi.org/10.1002/gdj3.149 |
| _version_ | 1811212264840101888 |
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| author | Juanle Wang Haishuo Wei Kai Cheng Altansukh Ochir Yating Shao Jinyi Yao Yuxin Wu Xuehua Han Davaadorj Davaasuren Sonomdagva Chonokhuu Yezhi Zhou Min Zhang Xiaoming Cao Mengxu Gao Junxiang Zhu Yifan Li Qiong Li Xiya Liang Kai Li |
| author_facet | Juanle Wang Haishuo Wei Kai Cheng Altansukh Ochir Yating Shao Jinyi Yao Yuxin Wu Xuehua Han Davaadorj Davaasuren Sonomdagva Chonokhuu Yezhi Zhou Min Zhang Xiaoming Cao Mengxu Gao Junxiang Zhu Yifan Li Qiong Li Xiya Liang Kai Li |
| author_sort | Juanle Wang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-12T05:26:12Z |
| format | Article |
| id | doaj.art-e8acef43f1d94df1b6d36175b7808657 |
| institution | Directory Open Access Journal |
| issn | 2049-6060 |
| language | English |
| last_indexed | 2024-04-12T05:26:12Z |
| publishDate | 2022-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geoscience Data Journal |
| spelling | doaj.art-e8acef43f1d94df1b6d36175b78086572022-12-22T03:46:18ZengWileyGeoscience Data Journal2049-60602022-11-019234135410.1002/gdj3.149Updatable dataset revealing decade changes in land cover types in MongoliaJuanle Wang0Haishuo Wei1Kai Cheng2Altansukh Ochir3Yating Shao4Jinyi Yao5Yuxin Wu6Xuehua Han7Davaadorj Davaasuren8Sonomdagva Chonokhuu9Yezhi Zhou10Min Zhang11Xiaoming Cao12Mengxu Gao13Junxiang Zhu14Yifan Li15Qiong Li16Xiya Liang17Kai Li18State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaSchool of Engineering and Applied Sciences National University of Mongolia Ulaanbaatar MongoliaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaSchool of the Art & Sciences National University of Mongolia Ulaanbaatar MongoliaSchool of Engineering and Applied Sciences National University of Mongolia Ulaanbaatar MongoliaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaInstitute of desertification Chinese Academy of Forestry Sciences Beijing ChinaNational Science and Technology Infrastructure Center Ministry of Science and Technology of the People’s Republic of China Beijing ChinaAustralasian Joint Research Centre for Building Information Modeling School of Built Environment Curtin University Bentley Western Australia AustraliaThe Institute of Oceanology Chinese Academy of Sciences Qingdao ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaState Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing ChinaAbstract 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.https://doi.org/10.1002/gdj3.149 |
| spellingShingle | Juanle Wang Haishuo Wei Kai Cheng Altansukh Ochir Yating Shao Jinyi Yao Yuxin Wu Xuehua Han Davaadorj Davaasuren Sonomdagva Chonokhuu Yezhi Zhou Min Zhang Xiaoming Cao Mengxu Gao Junxiang Zhu Yifan Li Qiong Li Xiya Liang Kai Li Updatable dataset revealing decade changes in land cover types in Mongolia Geoscience Data Journal |
| title | Updatable dataset revealing decade changes in land cover types in Mongolia |
| title_full | Updatable dataset revealing decade changes in land cover types in Mongolia |
| title_fullStr | Updatable dataset revealing decade changes in land cover types in Mongolia |
| title_full_unstemmed | Updatable dataset revealing decade changes in land cover types in Mongolia |
| title_short | Updatable dataset revealing decade changes in land cover types in Mongolia |
| title_sort | updatable dataset revealing decade changes in land cover types in mongolia |
| url | https://doi.org/10.1002/gdj3.149 |
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