Monitoring Drought and Its Impact on Agriculture Using Drought Indices and Geoinformatics Technology in Patan District, Gujarat
Monitoring Drought and Its Impact on Agriculture Using Drought Indices and Geoinformatics Technology in Patan District, Gujarat
Remote sensing (RS) and Geographic Information System (GIS) has played a major role in the study of different types of drought i.e.agricultural or hydrological drought. The present study on agricultural Drought assessment was carried out in the Patan District ofNorth Gujarat, India. This study focuses on the assessment of climate change and its impact on Agriculture using Remote Sensing(RS) and GIS technology. The Landsat-7 TM and Landsat-8 OLI data of February-2002 and February-2018 covering Patan Districtwas analysed for Land use/Land Cover mapping and monitoring changes in agricultural area over the period of 16-years. TheSpectral vegetation index namely Normalized Difference Vegetation Index (NDVI) was computed using Landsat-7 TM and Landsat-8 OLI digital data for assessment of changes in agricultural vegetation during the drought and normal monsoon periods.Meteorological data like Minimum & maximum Temperatures and rainfall was collected from State Data Centre. Various Droughtindices like Standardized Precipitation Index (SPI), Potential Evapo-Transpiration (PET) and Aridity Index (AI) were computedusing meteorological data of past 16-years.The results indicate that total agricultural vegetation during drought season was only 21.9 per cent (2002) which has increased to 58.7per cent during the normal monsoon season of 2018. The rainfall deviations were computed for various years and it was observedthat high negative rainfall deviations (-40 to -70%) having low rainfall occurrence were associated with negative SPI values rangingfrom -0.5 to -1.1 in Patan district. These positive rainfall deviations were associated with positive SPI values of 1.08, 0.57 and 0.62of respective years indicating moderately wet and mildly wet conditions. During drought year of 2002 total precipitation was veryless resulting in Aridity Index of 0.09 which is classified as hyper arid for the Patan District.
___
- Chopra, P. (2006). Drought Risk Assessment using
Remote Sensing and GIS: A case study of Gujarat
(PhD thesis). IIRS Dehradun, India.
- Dadhich, G, Patel, P.R., Kalubarme, M.H. (2017).
Agriculture land suitability evaluation for wheat
cultivation using geomatics for Patan District, India,
Int. J. Agricultural Resources, Governance and
Ecology, 13(1).
- Elhag, KM., Zhang, W. (2018). Monitoring and
Assessment of Drought Focused on Its Impact on
Sorghum Yield over Sudan by Using Meteorological
Drought Indices for the Period 2001–2011, Remote
Sens. 10(8), 1231.
- Esetlili, MT., Bektaş Balçık, F., Balık Şanlı, f., Üstüner,
M., Kalkan, K., Göksel, Ç., Gazioğlu, C., Kurucu, Y.
(2018). Comparison of Object and Pixel-Based
Classifications For Mapping Crops Using Rapideye
Imagery: A Case Study of Menemen Plain, Turkey,
International Journal of Environment and
Geoinformatics (IJEGEO), 5(2), 231-243.
- Gandhi, Fenil R.,and Parekh, Falguni P. (2017).
Assessment of Drought Using Standard Precipitation
Index and Rainfall Deciles: A Case Study of Patan
District. VIER Journal of Engineering Research, 1 -
7.
- Gorji, T., Yıldırım, A., Sertel, E., Tanık, A. (2019).
Remote sensing approaches and mapping methods
for monitoring soil salinity under different climate
regimes, International Journal of Environment and
Geoinformatics (IJEGEO), 6(1), 33-49.
- Goumehei, E., Geravandi, Y., Yan, W. (2016). A GIS
Based Study to Investigate Effect of Water Table
Changes on DRASTIC Model: A Case Study of
Kermanshah, Iran, International Journal of
Environment and Geoinformatics (IJEGEO) 3 (2), 1-
10.
- İmamoğlu, MZ., Sertel, E. (2016). Analysis of Different
Interpolation Methods for Soil Moisture Mapping
Using Field Measurements and Remotely Sensed
Data, International Journal of Environment and
Geoinformatics (IJEGEO), 3(3) 111-25
- IPCC, (2007). Climate change 2007: Impacts,
adaptation and vulnerability. In M. L. Parry, O. F.
Canziani, J. P. Palutikof, P. J. van der Linden, & C.
E. Hanson (Eds.), Contribution of working group II
to the fourth assessment, report of the
intergovernmental panel on climate change.
Cambridge, UK: Cambridge University Press.
- McKee TB, Doesken NJ, Kleist J. (1993). The
relationship of drought frequency and duration to
time scales. Preprints, 8th Conference on Applied
Climatology, 17–22 January, Anaheim, CA, 179–
184.
- Min, S.K.; Zhang, X.; Zwiers, F.W.; Hegerl, G.C.
(2011). Human contribution to more-intense
precipitation extremes. Nature 470, 378–381.
- Naresh Kumar, M., Murthy, C. S., Sesha Sai, M. V. R.,
Roy, P. S. (2009). On the Use of Standardized
Precipitation Index for Drought Intensity
Assessment. Meteorol. Appl. 16: 381–389, 381 389.
- Perkins, D.; Uhl, E.; Biber, P.; Toit, B.; Carraro, V.;
Rotzer, T.; Pretzsch, H. (2018). Impact of Climate
Trends and Drought Events on the Growth of Oaks
(Quercus robur L. and Quercus petraea (Matt.)
Liebl.) within and beyond Their Natural Range.
Forests, 9, 108.
- Rouse, J. W., Haas R.H., Schell, J.A., Deering, D.W.
(1974). Monitoring vegetation systems in the Great
Plains with ERTS. In: Fraden, S.C., Marcanti, E.P. &
Becker, M.A. (eds.) , Third ERTS-1 Symposium, 10-
14 Dec. 1973, NASA SP-351, Washington D.C.,
NASA, 309-317.
- Sakthivel, M., Kalubarme, M. H., Panhalkar, Bilal
Dastagir Gaikwad Vishal Vilas. (2018). Agricultural
Drought Monitoring Using Geo-Informatics
Technology: A Case Study of Surendranagar District,
Gujarat. Global Journal of Engineering Science and
Researches, 5(11), 126 – 136.
- Thenkabail, Prasad, Gamage, M.S.D. N., Vladimir,
Smakhtin, U. (2004). The Use of Remote Sensing
Data for Drought Assessment and Monitoring in
South west Asia. Research Report 8, International
Water Management Institute, PO Box 2075,
Colombo, Sri Lanka. Pp. 1- 35.
- Ülker, D., Ergüven, O., Gazioğlu, C. (2018). Socioeconomic
impacts in a Changing Climate: Case
Study Syria, International Journal of Environment
and Geoinformatics (IJEGEO), 5(1), 84-93.
- URL1. http://drinc.ewra.net/.