Year 2016, Volume 3, Issue 2, Pages 24 - 37 2016-08-02

Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India

Sumanta Das [1] , Malini Roy Choudhury [2] , Sujay Gandhi [3] , Viral Joshi [4]

102 396

Drought is a natural phenomenon which differs from other natural hazards by its slow accumulating process and its indefinite commencement and termination. The present study addresses water deficiency and drought occurrence over Kutch district, Gujarat, because nearly 45% of the whole Kutch district is severely suffering by deficiency of water. Earth observation data (LANDSAT ETM+) and Standardized Precipitation Index were used to analyze drought severity. Daily rainfall data over the study area were obtained from Indian Meteorological Department (IMD) for the period of study (1990-2014) and geo-referenced for further analyses. Using Remote Sensing and GIS techniques, rainfall variability map over the period of study has been prepared to show rainfall distribution and land use and land cover map is prepared to show the area under different land use classes and impacts of drought over land uses. Standardized Precipitation Index (SPI) was generated for each block wise and scenario of drought development has been analyzed using decadal data set for the study period (1990-2014). The present study suggests method and techniques for continuous drought monitoring by linking temporal earth observation and rainfall data. The methodology will be very useful for the development of a regional drought monitoring system.

Drought, SPI, drought severity, Rainfall variability
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Subjects Engineering
Journal Section Research Articles
Authors

Author: Sumanta Das
Institution: Dept. of Civil Engg., Smt. S.R.Patel Engg.College (Affiliated with Gujarat Technological University
Country: India


Author: Malini Roy Choudhury
Institution: Dept. of Civil Engg., Smt. S.R.Patel Engg.College (Affiliated with Gujarat Technological University
Country: India


Author: Sujay Gandhi
Institution: Dept. of Civil Engg., Smt. S.R.Patel Engg.College (Affiliated with Gujarat Technological University
Country: India


Author: Viral Joshi
Institution: Dept. of Civil Engg., Smt. S.R.Patel Engg.College (Affiliated with Gujarat Technological University
Country: India


Dates

Publication Date: August 2, 2016

Bibtex @research article { ijegeo306468, journal = {International Journal of Environment and Geoinformatics}, issn = {}, eissn = {2148-9173}, address = {Cem GAZİOĞLU}, year = {2016}, volume = {3}, pages = {24 - 37}, doi = {10.30897/ijegeo.306468}, title = {Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India}, key = {cite}, author = {Das, Sumanta and Choudhury, Malini Roy and Gandhi, Sujay and Joshi, Viral} }
APA Das, S , Choudhury, M , Gandhi, S , Joshi, V . (2016). Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India. International Journal of Environment and Geoinformatics, 3 (2), 24-37. DOI: 10.30897/ijegeo.306468
MLA Das, S , Choudhury, M , Gandhi, S , Joshi, V . "Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India". International Journal of Environment and Geoinformatics 3 (2016): 24-37 <http://dergipark.org.tr/ijegeo/issue/28171/306468>
Chicago Das, S , Choudhury, M , Gandhi, S , Joshi, V . "Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India". International Journal of Environment and Geoinformatics 3 (2016): 24-37
RIS TY - JOUR T1 - Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India AU - Sumanta Das , Malini Roy Choudhury , Sujay Gandhi , Viral Joshi Y1 - 2016 PY - 2016 N1 - doi: 10.30897/ijegeo.306468 DO - 10.30897/ijegeo.306468 T2 - International Journal of Environment and Geoinformatics JF - Journal JO - JOR SP - 24 EP - 37 VL - 3 IS - 2 SN - -2148-9173 M3 - doi: 10.30897/ijegeo.306468 UR - https://doi.org/10.30897/ijegeo.306468 Y2 - 2016 ER -
EndNote %0 International Journal of Environment and Geoinformatics Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India %A Sumanta Das , Malini Roy Choudhury , Sujay Gandhi , Viral Joshi %T Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India %D 2016 %J International Journal of Environment and Geoinformatics %P -2148-9173 %V 3 %N 2 %R doi: 10.30897/ijegeo.306468 %U 10.30897/ijegeo.306468
ISNAD Das, Sumanta , Choudhury, Malini Roy , Gandhi, Sujay , Joshi, Viral . "Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India". International Journal of Environment and Geoinformatics 3 / 2 (August 2016): 24-37. https://doi.org/10.30897/ijegeo.306468
AMA Das S , Choudhury M , Gandhi S , Joshi V . Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India. International Journal of Environment and Geoinformatics. 2016; 3(2): 24-37.
Vancouver Das S , Choudhury M , Gandhi S , Joshi V . Application of Earth Observation Data and Standardized Precipitation Index Based Approach for Meteorological Drought Monitoring, Assessment and Prediction Over Kutch, Gujarat, India. International Journal of Environment and Geoinformatics. 2016; 3(2): 37-24.