Monitoring landuse change in Uchhali and Khabeki wetland lakes, Pakistan using remote sensing data

被引:71
作者
Aslam, Rana Waqar [1 ]
Shu, Hong [1 ]
Tariq, Aqil [2 ]
Naz, Iram [3 ]
Ahmad, Muhammad Nasar [1 ]
Quddoos, Abdul [1 ]
Javid, Kanwal [4 ]
Mustafa, Farhan [5 ,6 ]
Aeman, Hafsa [1 ]
机构
[1] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
[2] Mississippi State Univ, Coll Forest Resources, Dept Wildlife Fisheries & Aquaculture, Mississippi State, MS 39762 USA
[3] Univ Engn & Technol, Ctr Excellence Water Resources Management, Lahore 54000, Pakistan
[4] Govt Coll Univ, Dept Geog, Lahore 54000, Pakistan
[5] Hong Kong Univ Sci & Technol HKUST, Jiangmen Lab Carbon Sci & Technol, Jiangmen 529199, Guangdong, Peoples R China
[6] Guangzhou HKUST Fok Ying Tung Res Inst FYTRI, Guangzhou 511458, Peoples R China
基金
国家自然科学基金重大项目;
关键词
Wetland; Remote sensing & GIS; Land-use land -cover; Economic; Driving force; Ecology; CLIMATE-CHANGE; COVER; CLASSIFICATION; DISTRICT; IMPACTS;
D O I
10.1016/j.gr.2023.12.015
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Although it is a globally significant wetland, the ecological environment of Soon valley (Ucchali and Khabeki wetland lakes, Pakistan) is being negatively impacted by the rapid transformation of its landuse change brought about by economic and human activities. Through supervised classification and interpretation, we extract land use categories from Landsat remote sensing images acquired between 1990 and 2020. Using Google Earth Engine with machine learning algorithms (e.g., Smile CART Classifier), we generate four maps depicting different types of land use with a 10-year time horizon. In statistics, Built-up area increased by 18 % between 1990 and 2020, while barren lands declined by 31 %. Wetland and mudflat extent exhibited fluctuations but demonstrated an overall 21 % reduction since 1990. Adopting a land use transfer matrix and a dynamic stance toward land use, this paper examines the factors that led to the change in wetland landuse in Soon Valley (Ucchali and Khabeki wetland lakes, Pakistan). The results show that between 1990 and 2020, there will be a significant shift in the wetland land use types in Soon valley, with a relatively wide change range for builtup land, mudflat and barren land, and an upward trend. Overall, we saw a reduction in wetland and grassland areas, and a sizable amount of land was diverted from other uses. This land was used primarily for building sites, rice paddies, and other dry purposes. From a dynamic standpoint, the range of change was relatively small as compared to the woodland area expanded. Overall, results indicating a gentle transitioning of one type of land use to another, with the mudflat wetland area decreasing first and then increasing. Although the population was not much larger, but played a significant role with precipitation which may be another driver of land use land cover (LULC) change in the Uchhali-Khabeki wetland lakes, as implied by correlation analysis. The foregoing study of LULC remote sensing is valuable for the preservation of Uchhali and khabeki Lake's wetlands and the administration of the lake's land resources. (c) 2024 International Association for Gondwana Research. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:252 / 267
页数:16
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