Drought Vulnerability Assessment Using GIS and Remote Sensing Techniques: A Case Study in Part of Coimbatore, Tamil Nadu, India

被引:0
|
作者
S. Krishnakumar [1 ]
V. Sreevidhya [2 ]
S. Vivek [3 ]
V. Priya [3 ]
机构
[1] Dr. Mahalingam College of Engineering and Technology,Department of Civil Engineering
[2] Sri Krishna College of Technology,Department of Civil Engineering
[3] GMR Institute of Technology,Department of Civil Engineering
关键词
Vegetation condition index; GIS; Spatial–temporal drought; Remote sensing; Vulnerability;
D O I
10.1007/s12524-024-02038-2
中图分类号
学科分类号
摘要
This study used integrated GIS and remote sensing data to forecast the spatiotemporal drought risk regions facing agriculture and meteorology in part of Coimbatore. The Coimbatore region’s drought evaluation was divided into two categories: agricultural drought and meteorological drought. Normalized Difference Vegetation Index (NDVI) and Vegetation Condition Index (VCI) were used to measure drought in agriculture. Due to yearly rainfall patterns and the standard precipitation index (SPI), resultant meteorological drought assessment. In addition to the standardized precipitation indicator, which is based on meteorology and is used as a meteorological drought index, For Agriculture drought risk has been assessed using Landsat 8 OLI/TIRS and 7 ETM + temporal images based on Normalized Difference Vegetation Index and Vegetation Condition Index for the years 2000 and 2020. Finally, utilizing NDVI, VCI, seasonal rainfall, and SPI values together with a weighted overlay approach, maps of the spatial–temporal drought risk were created. Land use and land cover changes were also carried out in this study. Comparing the drought changes depending on the patterns of land use and cover between 2000 and 2020. The comparison findings show that terrain modification rapidly, which leads to drought in that region, develops when land is being developed like built-up areas, Industries and other human made activities by deformation of Crop Land, Plantation, Water body, and Forest. As a result, the drought risk can be precisely calculated by integrating a number of parameters shows where the areas are most severely impacted by the drought in 2000 were Sultanpet, Singanallur, Thalakkarai, Sethumadai, Kariyambalayam, Koolarpatti, and Kuniyamuthur. Some regions like Karumathampatti, Sulur, Singanallur, Sultanpet, Kuniyamuthur, Kinathukadavu, Periya Negamam, Pollachi, Anaimalai, Kottur, and Aliyar are affected by drought in the year of 2020. Overall, the Coimbatore region’s land use and land cover patterns have changed, which has increased the region’s vulnerability to drought from 2000 to 2020.
引用
收藏
页码:1077 / 1091
页数:14
相关论文
共 50 条
  • [41] Assessment of cyclone risk and case study of Gaja cyclone using GIS techniques and machine learning algorithms in coastal zone of Tamil Nadu, India
    Thenmozhi, M.
    Sujatha, M.
    Kavitha, M.
    Senthilraja, S.
    Babu, M.
    Priya, V.
    ENVIRONMENTAL RESEARCH, 2024, 246
  • [42] Assessment of groundwater quality using GIS and CCME WQI techniques: a case study of Thiruthuraipoondi city in Cauvery deltaic region, Tamil Nadu, India
    Venkatramanan, S.
    Chung, S. Y.
    Ramkumar, T.
    Rajesh, R.
    Gnanachandrasamy, G.
    DESALINATION AND WATER TREATMENT, 2016, 57 (26) : 12058 - 12073
  • [43] Extraction and analysis of geological lineaments of Kolli hills, Tamil Nadu: a study using remote sensing and GIS
    Raj, N. Jawahar
    Prabhakaran, A.
    Muthukrishnan, A.
    ARABIAN JOURNAL OF GEOSCIENCES, 2017, 10 (08)
  • [44] Drought analysis in southern region of Tamil Nadu using meteorological and remote sensing indices
    Lalmuanzuala, B.
    Sathyamoorthy, NK.
    Kokilavani, S.
    Jagadeeswaran, R.
    Kannan, Balaji
    MAUSAM, 2023, 74 (04): : 973 - 988
  • [45] Extraction and analysis of geological lineaments of Kolli hills, Tamil Nadu: a study using remote sensing and GIS
    N. Jawahar Raj
    A Prabhakaran
    A Muthukrishnan
    Arabian Journal of Geosciences, 2017, 10
  • [46] Morphometric analysis of watershed using remote sensing and GISa case study of Nanganji River Basin in Tamil Nadu, India
    Mangan, Pandian
    Haq, Mohd Anul
    Baral, Prashant
    ARABIAN JOURNAL OF GEOSCIENCES, 2019, 12 (06)
  • [47] Groundwater resource exploration in Salem district, Tamil Nadu using GIS and remote sensing
    G MAHESWARAN
    A GEETHA SELVARANI
    K ELANGOVAN
    Journal of Earth System Science, 2016, 125 : 311 - 328
  • [48] Groundwater resource exploration in Salem district, Tamil Nadu using GIS and remote sensing
    Maheswaran, G.
    Selvarani, A. Geetha
    Elangovan, K.
    JOURNAL OF EARTH SYSTEM SCIENCE, 2016, 125 (02) : 311 - 328
  • [49] Groundwater recharge potential zones mapping in upper Manimuktha Sub basin Vellar river Tamil Nadu India using GIS and remote sensing techniques
    Deepa S.
    Venkateswaran S.
    Ayyandurai R.
    Kannan R.
    Vijay Prabhu M.
    Modeling Earth Systems and Environment, 2016, 2 (3)
  • [50] Diagnostic analysis of conservation zones using remote sensing and GIS techniques in wet evergreen forests of the Western Ghats – An ecological hotspot, Tamil Nadu, India
    G. Amarnath
    M.S.R. Murthy
    S.J. Britto
    G. Rajashekar
    C.B.S. Dutt
    Biodiversity & Conservation, 2003, 12 : 2331 - 2359