Application of Ecology-Geomorphology Cognition Approach in Land Type Classification: A Case Study in the Altay Region
文献类型：期刊论文
| 作者 | Wang, Baixue2,3; Cheng, Weiming1,2,3,4; Song, Keyu2,3; Wang, Suiji2,5; Zhang, Yichi2,5; Li, Hao2,3; Deng, Jiayin2,3; Wang, Ruibo2,3 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 14期号:7页码:22 |
| 关键词 | ecology-geomorphology cognition approach land type classification land unit three-level classification |
| DOI | 10.3390/su14074023 |
| 通讯作者 | Cheng, Weiming(chengwm@lreis.ac.cn) |
| 英文摘要 | Land types play an important guiding role in human survival and production. Clarifying the division of land types is the basis for ensuring the sustainable and coordinated development of social-economic-natural complex ecosystems. To date, the land type classification system has not formed a unified standard, and the existing classification fails to highlight the natural background elements of land. Therefore, it is important to construct a classification system that can reflect natural background elements. Additionally, land type classification is often based on land resource surveys. Updating the land type is generally difficult and slow, mainly due to a lack of appropriate information. Hence, it is necessary to develop an automatic land type renewal method using multisource information. This study proposes the ecology-geomorphology cognition (Eco-geoC) approach for land type classification. The approach is realized by the segmentation of land units using remote sensing images, geographic information, vegetation, soil, DEM, and geoscience knowledge. This approach is an extension of the object-based image analysis method. The spatial objects segmented from different attribute data are integrated, and finally, a comprehensive land mapping unit representing a certain degree of geographical homogeneity and land use potential is generated. The results show that the Eco-geoC approach is an integrated approach with objectification cognition on remote sensing images and multisource information using geo-knowledge. The Eco-geoC approach is tested in the Altay region. From coarse to fine scales, the study area is divided into two kinds of natural belts, 27 land systems and 78 land units, and a 1:500,000 land-type map, which shows a good coupling relationship between the physiognomy, vegetation, and soil in the Altay region, is compiled. The results of this study show that the use of the Eco-geoC approach for land type classification is significant and has potential for land assessment and planning. This approach can provide a scientific basis for the restoration of the regional ecology and the comprehensive management and adjustment of land resources and the environment. |
| WOS关键词 | SYSTEM ; COVER ; VEGETATION ; RESOLUTION ; FOREST ; ECOSYSTEMS ; TOPOGRAPHY ; AREA ; UNIT |
| 资助项目 | National Natural Science Foundation of China[42130110] ; Bureau of Science and Technology of Altay region, Ili Kazak Autonomous Prefecture[Y99M4600AL] ; Xinjiang Scientific Investigation Basic Geographic Information Database[2021xjkk1301] |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000781198600001 |
| 出版者 | MDPI |
| 资助机构 | National Natural Science Foundation of China ; Bureau of Science and Technology of Altay region, Ili Kazak Autonomous Prefecture ; Xinjiang Scientific Investigation Basic Geographic Information Database |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/175037]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cheng, Weiming |
| 作者单位 | 1.Collaborat Innovat Ctr South China Sea Studies, Nanjing 210093, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Baixue,Cheng, Weiming,Song, Keyu,et al. Application of Ecology-Geomorphology Cognition Approach in Land Type Classification: A Case Study in the Altay Region[J]. SUSTAINABILITY,2022,14(7):22. |
| APA | Wang, Baixue.,Cheng, Weiming.,Song, Keyu.,Wang, Suiji.,Zhang, Yichi.,...&Wang, Ruibo.(2022).Application of Ecology-Geomorphology Cognition Approach in Land Type Classification: A Case Study in the Altay Region.SUSTAINABILITY,14(7),22. |
| MLA | Wang, Baixue,et al."Application of Ecology-Geomorphology Cognition Approach in Land Type Classification: A Case Study in the Altay Region".SUSTAINABILITY 14.7(2022):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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