A remote sensing study of spatiotemporal variations in drought conditions in northern Asir, Saudi Arabia

被引:0
作者
Wisam E. Mohammed
Saeed Algarni
机构
[1] Imam Abdulrahman Bin Faisal University,Landscape Architecture Department, College of Architecture and Planning
[2] Imam Mohammad Ibn Saud Islamic University,Department of Geography, College of Sharia and Islamic Studies
来源
Environmental Monitoring and Assessment | 2020年 / 192卷
关键词
Drought; Vegetation dynamics; NDVI; FVC; SPEI; Seasonal-trend decomposition;
D O I
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中图分类号
学科分类号
摘要
Changes in vegetation land cover are influenced by, and therefore an indicator of, climatic conditions. The aim of this study is to investigate the relationship between vegetation cover changes and drought events in a small-scale area. Six Landsat images during 1987–2019 were used to extract information about the vegetation land cover changes using the normalized difference vegetation index (NDVI) and the fractional vegetation cover (FVC) in Balqarn Governorate in the northern mountains of Asir, Saudi Arabia. Two climatic parameters, temperature and precipitation, were used as time series for the same period and were decomposed to investigate the seasonal and trend changes for each parameter. The two parameters were also used to calculate the standardized precipitation evapotranspiration index (SPEI) to conduct an in-depth analysis of the drought events influencing vegetation cover. The results showed that the state of the vegetation coverage of the study area remained at a medium level with an average NDVI value, but the FVC values showed evidence of dynamic variability associated with drought and moisture events. The SPEI showed that the study area has been undergoing a long-duration drought event since 2004, ranging from light to severe drought, which was consistent with the time series decomposition results. This investigation has revealed that drought drives changes in vegetation cover and is expressed on small geographic scales as changes in the vegetation cover structure. The framework described here is simple and can be used to evaluate and manage drought risks.
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[1]  
AghaKouchak A(2015)Remote sensing of drought: progress, challenges and opportunities: remote sensing of drought Reviews of Geophysics 53 452-480
[2]  
Farahmand A(2020)Projected drought events over West Africa using RCA4 regional climate model Earth Systems and Environment 4 329-348
[3]  
Melton FS(2016)Main vegetation types and plant species diversity along an altitudinal gradient of Al Baha region, Saudi Arabia Saudi Journal of Biological Sciences 23 687-697
[4]  
Teixeira J(2009)Effect of terrain characteristics on vegetation cover of Zahran region in Sarawat mountains: a systematic study in remote sensing and GIS Journal of Al-Imam Muhammad Ibn Saud Islamic University 13 185-243
[5]  
Anderson MC(2012)Recent climate change in the Arabian peninsula: annual rainfall and temperature analysis of Saudi Arabia for 19782009 International Journal of Climatology 32 953-966
[6]  
Wardlow BD(2020)Meteorological drought study through SPI in three drought prone districts of West Bengal, India Earth Systems and Environment 4 43-55
[7]  
Hain CR(2018)Climate change projections for the Middle East-North Africa domain with COSMO-CLM at different spatial resolutions Advances in Climate Change Research 9 66-88
[8]  
Ajayi VO(2003)Revised landsat-5 tm radiometric calibration procedures and postcalibration dynamic ranges IEEE Transactions on Geoscience and Remote Sensing 41 2674-2677
[9]  
Ilori OW(2007)Revised Landsat-5 thematic mapper radiometric calibration IEEE Geoscience and Remote Sensing Letters 4 490-494
[10]  
Al-Aklabi A(1996)Image-based atmospheric corrections—revisited and improved Photogrammetric Engineering and Remote Sensing 62 1025-1036