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
  • [1] Drought assessment in Coimbatore South region, Tamil Nadu, India, using remote sensing and meteorological dataDrought assessment in Coimbatore South region, Tamil Nadu, India…Ezhilarasi Murugesan et al.
    Ezhilarasi Murugesan
    Senthilkumar Shanmugamoorthy
    Senthilkumar Veerasamy
    Vivek Sivakumar
    Journal of Earth System Science, 134 (1)
  • [2] Drought assessment and monitoring through remote sensing and GIS in western tracts of Tamil Nadu, India
    Muthumanickam, D.
    Kannan, P.
    Kumaraperumal, R.
    Natarajan, S.
    Sivasamy, R.
    Poongodi, C.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2011, 32 (18) : 5157 - 5176
  • [3] Coastal erosion hazard and vulnerability assessment for southern coastal Tamil Nadu of India by using remote sensing and GIS
    P. Sheik Mujabar
    N. Chandrasekar
    Natural Hazards, 2013, 69 : 1295 - 1314
  • [4] Coastal erosion hazard and vulnerability assessment for southern coastal Tamil Nadu of India by using remote sensing and GIS
    Mujabar, P. Sheik
    Chandrasekar, N.
    NATURAL HAZARDS, 2013, 69 (03) : 1295 - 1314
  • [5] A study of urban heat island effects using remote sensing and GIS techniques in Kancheepuram, Tamil Nadu, India
    Bagyaraj, Murugesan
    Senapathi, Venkatramanan
    Karthikeyan, Sivakumar
    Chung, Sang Yong
    Khatibi, Rahman
    Nadiri, Ata Allah
    Lajayer, Behnam Asgari
    URBAN CLIMATE, 2023, 51
  • [6] LAND-USE CHANGE DETECTION AND ASSESSMENT FOR SUSTAINABLE DEVELOPMENT OF PERI-URBAN AREAS USING REMOTE SENSING AND GIS: A CASE STUDY OF COIMBATORE CITY, TAMIL NADU, INDIA
    Ganesh, V. Navin
    Sridhar, R. Sathyanarayan
    JOURNAL OF ENVIRONMENTAL PROTECTION AND ECOLOGY, 2020, 21 (06): : 2229 - 2244
  • [7] Land-use/cover change in Coimbatore urban area (Tamil Nadu, India)-a remote sensing and GIS-based study
    Prabu, P.
    Dar, Mithas Ahmad
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (08)
  • [8] Land-use/cover change in Coimbatore urban area (Tamil Nadu, India)—a remote sensing and GIS-based study
    P. Prabu
    Mithas Ahmad Dar
    Environmental Monitoring and Assessment, 2018, 190
  • [9] Evaluation of Urban Growth Using Remote Sensing and GIS Tools Case Study on Thanjavur City, Tamil Nadu, India
    Suribabu, C. R.
    Bhaskar, J.
    JORDAN JOURNAL OF CIVIL ENGINEERING, 2014, 8 (02) : 152 - 164
  • [10] Morphometric analysis of watershed using remote sensing and GIS—a case study of Nanganji River Basin in Tamil Nadu, India
    Pandian Mangan
    Mohd Anul Haq
    Prashant Baral
    Arabian Journal of Geosciences, 2019, 12