Exploring the dynamic relationship between enhanced vegetation index and meteorological variables in Pakistan

被引:0
作者
Shakrullah, Khadija [1 ]
Tariq, Salman [2 ,4 ]
Shirazi, Safdar Ali [3 ]
Nasar-u-Minallah, Muhammad [3 ]
Mariam, Ayesha [4 ]
机构
[1] A Chartered Univ, Dept Geog, Forman Christian Coll, Lahore, Pakistan
[2] Univ Punjab, Dept Space Sci, Lahore, Pakistan
[3] Univ Punjab, Inst Geog, Lahore, Pakistan
[4] Univ Punjab, Natl Ctr GIS & Space Applicat, Ctr Remote Sensing, Remote Sensing GIS & Climat Res Lab, Lahore, Pakistan
关键词
Enhanced vegetation index; Meteorological variable; Soil moisture content; MODIS; Pakistan; SOIL-MOISTURE; TIME-SERIES; MODIS NDVI; TRENDS; PRECIPITATION; GROWTH; COVER; EVI;
D O I
10.1007/s12665-025-12105-7
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Vegetation is an important component of the earth's ecosystem and contributes to regulating the climate, carbon sequestration, water cycle, energy transfer, wind movement, and soil development. This study examines the Enhanced Vegetation Index (EVI)and its association with other meteorological variables, such as precipitation, Relative Humidity (RH), Wind Speed (WS), and Soil Moisture Content (SMC) on Pakistan over two decades (2002 to 2023). Satellite data sets of MODIS-Aqua, MERRA-2, AIRS, and TRMM were utilized in order to do so. The correlation, seasonal, and averaged maps were prepared and analyzed to understand the relationship of all variables. The results indicate that the maximum EVI (0.398) was observed in the north, east, and along the Indus and its tributaries. However, the minimum EVI (-0.112) was detected in the mountainous north and western parts of Balochistan. The seasonal maps revealed a high distribution of precipitation (0.15 mm/month) in the north while the minimum precipitation (0.005 mm/month) was reported in the south during summer. RH (77.87%) in the north and east while minimum RH (11.19%) in the west. The maximum WS (9.11 m/s-1) was found in the western and southern half. Additionally, the lowest WS (1.79 m/s-1) was found in the mountainous north SMC (0.33kgm-2), from March to May in the north and northeast. The minimum SMC (0.03kgm-2) was detected in the western and southern parts of Pakistan. Furthermore, a positive correlation between EVI and all meteorological variables and SMC was found. As Pakistan encounters diverse challenges such as climate change and rapid population growth, EVI-based assessment will play a pivotal role in assessing land use changes, sustainable growth, and resilient ecosystems.
引用
收藏
页数:15
相关论文
共 63 条
[1]   Shifting of agro-climatic zones, their drought vulnerability, and precipitation and temperature trends in Pakistan [J].
Adnan, Shahzada ;
Ullah, Kalim ;
Gao, Shouting ;
Khosa, Ashfaq H. ;
Wang, Ziqian .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2017, 37 :529-543
[2]   Probability density functions based classification of MODIS NDVI time series data and monitoring of vegetation growth cycle [J].
Ahmed, Tasneem ;
Singh, Dharmendra .
ADVANCES IN SPACE RESEARCH, 2020, 66 (04) :873-886
[3]   Projected changes in the climate of Pakistan using IPCC AR5-based climate models [J].
Athar, H. ;
Nabeel, A. ;
Nadeem, I ;
Saeed, F. .
THEORETICAL AND APPLIED CLIMATOLOGY, 2021, 145 (1-2) :567-584
[4]  
Bari E., 2021, Environ. Chall., V5, DOI [10.1016/j.envc.2021.100376, DOI 10.1016/J.ENVC.2021.100376]
[5]   Spatio-Temporal Vegetation Dynamic and Persistence under Climatic and Anthropogenic Factors [J].
Bashir, Barjeece ;
Cao, Chunxiang ;
Naeem, Shahid ;
Joharestani, Mehdi Zamani ;
Bo, Xie ;
Afzal, Huma ;
Jamal, Kashif ;
Mumtaz, Faisal .
REMOTE SENSING, 2020, 12 (16)
[6]   Can a 25-year trend in Soudano-Sahelian vegetation dynamics be interpreted in terms of land use change? A remote sensing approach [J].
Begue, Agnes ;
Vintrou, Elodie ;
Ruelland, Denis ;
Claden, Maxime ;
Dessay, Nadine .
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS, 2011, 21 (02) :413-420
[7]   Identification of glacier motion and potentially dangerous glacial lakes in the Mt. Everest region/Nepal using spaceborne imagery [J].
Bolch, T. ;
Buchroithner, M. F. ;
Peters, J. ;
Baessler, M. ;
Bajracharya, S. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2008, 8 (06) :1329-1340
[8]   Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation [J].
Chen, Hao ;
Liu, Xiangnan ;
Ding, Chao ;
Huang, Fang .
SENSORS, 2018, 18 (11)
[9]   Analysis of NVDI variability in response to precipitation and air temperature in different regions of Iraq, using MODIS vegetation indices [J].
Daham, Afrah ;
Han, Dawei ;
Rico-Ramirez, Miguel ;
Marsh, Anke .
ENVIRONMENTAL EARTH SCIENCES, 2018, 77 (10)
[10]   Earlier vegetation green-up has reduced spring dust storms [J].
Fan, Bihang ;
Guo, Li ;
Li, Ning ;
Chen, Jin ;
Lin, Henry ;
Zhang, Xiaoyang ;
Shen, Miaogen ;
Rao, Yuhan ;
Wang, Cong ;
Ma, Lei .
SCIENTIFIC REPORTS, 2014, 4