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
关键词
Drought; Vegetation dynamics; NDVI; FVC; SPEI; Seasonal-trend decomposition;
D O I
暂无
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.
引用
收藏
相关论文
共 50 条
  • [1] A remote sensing study of spatiotemporal variations in drought conditions in northern Asir, Saudi Arabia
    Mohammed, Wisam E.
    Algarni, Saeed
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2020, 192 (12)
  • [2] Distribution of ABO and Rhesus Types in the Northern Asir Region in Saudi Arabia
    Belali, Tareg M.
    JOURNAL OF BLOOD MEDICINE, 2022, 13 : 643 - 648
  • [3] Remote sensing of vegetation prolonged drought at the salt playas of Hail-Saudi Arabia
    Hereher, Mohamed
    Alghmdi, Ahmed
    Mseddi, Khalil
    El Kenawy, Ahmed
    EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES, 2022, 25 (01): : 135 - 145
  • [4] Integrated remote sensing data and machine learning for drought prediction in Eastern Saudi Arabia
    Hazem Taha Abd El-Hamid
    Fahad Alshehri
    Journal of Coastal Conservation, 2023, 27
  • [5] Integrated remote sensing data and machine learning for drought prediction in Eastern Saudi Arabia
    Abd El-Hamid, Hazem Taha
    Alshehri, Fahad
    JOURNAL OF COASTAL CONSERVATION, 2023, 27 (05)
  • [6] Feasibility Study of Wind Farm in Asir Region in Saudi Arabia
    Al-Gahtani, Saad F.
    INTERNATIONAL CONFERENCE ON ELECTRICAL, COMPUTER AND ENERGY TECHNOLOGIES (ICECET 2021), 2021, : 134 - 139
  • [7] An integrated remote sensing, aeromagnetic and field study of the Ablah shear zone (Asir Terrane, Saudi Arabia): Structural styles and implications for the tectonic evolution
    El-Sawy, El-Sawy K.
    Abd-Allah, Ali M. A.
    El-Fakharani, Abdelhamid
    Helaly, Ahmed M. S.
    JOURNAL OF ASIAN EARTH SCIENCES, 2022, 224
  • [8] Remote sensing study on mangrove depletion Tarut Bay, Saudi Arabia
    Khan, MA
    Al-Homaid, NA
    DESERTIFICATION IN THE THIRD MILLENNIUM, 2003, : 227 - 233
  • [9] Spatiotemporal variations of drought and driving factors based on multiple remote sensing drought indices: A case study in karst areas of southwest China
    LU Xian-jian
    LI Zhen-bao
    YAN Hong-bo
    LIANG Yue-ji
    JournalofMountainScience, 2023, 20 (11) : 3215 - 3232
  • [10] Spatiotemporal variations of drought and driving factors based on multiple remote sensing drought indices: A case study in karst areas of southwest China
    Lu, Xian-jian
    Li, Zhen-bao
    Yan, Hong-bo
    Liang, Yue-ji
    JOURNAL OF MOUNTAIN SCIENCE, 2023, 20 (11) : 3215 - 3232