Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest
文献类型：期刊论文
| 作者 | Asif, Muhammad; Kazmi, Jamil Hasan; Tariq, Aqil1,8; Zhao, Na7; Guluzade, Rufat6; Soufan, Walid; Almutairi, Khalid F.; Sabagh, Ayman El4; Aslam, Muhammad3 |
| 刊名 | GEOCARTO INTERNATIONAL
 |
| 出版日期 | 2023-12-31 |
| 卷号 | 38期号:1页码:2210532 |
| ISSN号 | 1010-6049 |
| 关键词 | CA-Markov LULC change detection simulation Thal and Cholistan |
| DOI | 10.1080/10106049.2023.2210532 |
| 文献子类 | Article |
| 英文摘要 | We used the Cellular Automata Markov (CA-Markov) integrated technique to study land use and land cover (LULC) changes in the Cholistan and Thal deserts in Punjab, Pakistan. We plotted the distribution of the LULC throughout the desert terrain for the years 1990, 2006 and 2022. The Random Forest methodology was utilized to classify the data obtained from Landsat 5 (TM), Landsat 7 (ETM+) and Landsat 8 (OLI/TIRS), as well as ancillary data. The LULC maps generated using this method have an overall accuracy of more than 87%. CA-Markov was utilized to forecast changes in land usage in 2022, and changes were projected for 2038 by extending the patterns seen in 2022. A CA-Markov-Chain was developed for simulating long-term landscape changes at 16-year time steps from 2022 to 2038. Analysis of urban sprawl was carried out by using the Random Forest (RF). Through the CA-Markov Chain analysis, we can expect that high density and low-density residential areas will grow from 8.12 to 12.26 km(2) and from 18.10 to 28.45 km(2) in 2022 and 2038, as inferred from the changes occurred from 1990 to 2022. The LULC projected for 2038 showed that there would be increased urbanization of the terrain, with probable development in the croplands westward and northward, as well as growth in residential centers. The findings can potentially assist management operations geared towards the conservation of wildlife and the eco-system in the region. This study can also be a reference for other studies that try to project changes in arid are as undergoing land-use changes comparable to those in this study. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS关键词 | ANALYTICAL HIERARCHY PROCESS ; VEGETATION ; PAKISTAN ; DROUGHTS ; DESERT |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193421]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 作者单位 | 1.Univ Karachi, Dept Geog, Karachi, Sindh, Pakistan 2.Univ West Scotland, Sch Comp Engn & Phys Sci, Glasgow, Scotland 3.Kafrelsheikh Univ, Fac Agr, Dept Agron, Kafr El Shaikh, Egypt 4.Soufan, Walid; Almutairi, Khalid F.] King Saud Univ, Coll Food & Agr Sci, Plant Prod Dept, Riyadh, Saudi Arabia 5.Hohai Univ, Sch Earth Sci & Engn, Majoring Geodesy & Survey Engn, Nanjing, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 7.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan, Peoples R China 8.Mississippi State State Univ, Coll Forest Resources, Dept Wildlife Fisheries & Aquaculture, Mississippi State, MS USA |
| 推荐引用方式 GB/T 7714 | Asif, Muhammad,Kazmi, Jamil Hasan,Tariq, Aqil,et al. Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest[J]. GEOCARTO INTERNATIONAL,2023,38(1):2210532. |
| APA | Asif, Muhammad.,Kazmi, Jamil Hasan.,Tariq, Aqil.,Zhao, Na.,Guluzade, Rufat.,...&Aslam, Muhammad.(2023).Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest.GEOCARTO INTERNATIONAL,38(1),2210532. |
| MLA | Asif, Muhammad,et al."Modelling of land use and land cover changes and prediction using CA-Markov and Random Forest".GEOCARTO INTERNATIONAL 38.1(2023):2210532. |
入库方式： OAI收割
来源：地理科学与资源研究所
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