气候变化领域集成服务门户(CCPortal): Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data

CCPortal

DOI	10.3390/land11050595
	Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data
	Hussain, Sajjad; Lu, Linlin; Mubeen, Muhammad; Nasim, Wajid; Karuppannan, Shankar; Fahad, Shah; Tariq, Aqil; Mousa, B. G.; Mumtaz, Faisal; Aslam, Muhammad
发表日期	2022
EISSN	2073-445X
卷号	11 期号:5
英文摘要	Climate change is likely to have serious social, economic, and environmental impacts on farmers whose subsistence depends on nature. Land Use Land Cover (LULC) changes were examined as a significant tool for assessing changes at diverse temporal and spatial scales. Normalized Difference Vegetation Index (NDVI) has the potential ability to signify the vegetation structures of various eco-regions and provide valuable information as a remote sensing tool in studying vegetation phenology cycles. In this study, we used remote sensing and Geographical Information System (GIS) techniques with Maximum Likelihood Classification (MLC) to identify the LULC changes for 40 years in the Sahiwal District. Later, we conducted 120 questionnaires administered to local farmers which were used to correlate climate changes with NDVI. The LULC maps were prepared using MLC and training sites for the years 1981, 2001, and 2021. Regression analysis (R-2) was performed to identify the relationship between temperature and vegetation cover (NDVI) in the study area. Results indicate that the build-up area was increased from 7203.76 ha (2.25%) to 31,081.3 ha (9.70%), while the vegetation area decreased by 14,427.1 ha (4.5%) from 1981 to 2021 in Sahiwal District. The mean NDVI values showed that overall NDVI values decreased from 0.24 to 0.20 from 1981 to 2021. Almost 78% of farmers stated that the climate has been changing during the last few years, 72% of farmers stated that climate change had affected agriculture, and 53% of farmers thought that rainfall intensity had also decreased. The R-2 tendency showed that temperature and NDVI were negatively connected to each other. This study will integrate and apply the best and most suitable methods, tools, and approaches for equitable local adaptation and governance of agricultural systems in changing climate conditions. Therefore, this research outcome will also meaningfully help policymakers and urban planners for sustainable LULC management and strategies at the local level.
英文关键词	Land Use Land Cover (LULC); Maximum Likelihood Classification (MLC); Climate change; NDVI; Remote sensing and GIS
语种	英语
WOS研究方向	Environmental Studies
WOS类目	Social Science Citation Index (SSCI)
WOS记录号	WOS:000801520100001
来源期刊	LAND
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280385
作者单位	COMSATS University Islamabad (CUI); Chinese Academy of Sciences; Islamia University of Bahawalpur; Adama Science & Technology University; Wuhan University; Egyptian Knowledge Bank (EKB); Al Azhar University; Chinese Academy of Sciences; University of West Scotland
推荐引用方式 GB/T 7714	Hussain, Sajjad,Lu, Linlin,Mubeen, Muhammad,et al. Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data[J],2022,11(5).
APA	Hussain, Sajjad.,Lu, Linlin.,Mubeen, Muhammad.,Nasim, Wajid.,Karuppannan, Shankar.,...&Aslam, Muhammad.(2022).Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data.LAND,11(5).
MLA	Hussain, Sajjad,et al."Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data".LAND 11.5(2022).