Drought Assessment of Nagarjuna Sagar Command Area using Geospatial tools

Pittamudusula, L (2019) Drought Assessment of Nagarjuna Sagar Command Area using Geospatial tools. Masters thesis, JNTU, Hyderabad.

PDF - Published Version Download (3MB)

Supervisors

Supervisors Name	Supervisors ID
Gumma, M K	UNSPECIFIED
Venkatesh, J	UNSPECIFIED

Abstract

The Krishna River Basin is frequently affected basin to drought due to climate change. Nagarjuna Sagar is one of the most important dams under Krishna river basin. Water imbalance and failure of monsoon are the major reasons for Drought. The main aim of the present study is to prepare a land use/land cover (LULC) maps for study years including irrigated areas and assessment of drought in the command area of Nagarjuna Sagar Project. LULC maps are prepared using continuous time series of MODIS data. The drought methodology was developed with coarse resolution data set like MODIS 250m time series and other secondary data. Remote sensing-based assessments of a perennial Krishna river basin, which flow through many states in India helps in understanding the effect of abiotic stress like drought. MODIS time series products can be used to understand cropland changes at the basin level due to abiotic stresses, especially water scarcity. The identification of land use/land cover (LULC) areas for two crop years, 2013-14 (a normal year) and 2015-16 (a drought year) using Spectral matching technique. Based on the NDVI and intensity of damage, Drought affected crop areas were categorized into three classes -- severe, moderate and mild. Ground survey data were collected to find the accuracy of spatial products. Water inflows and outflows from the Krishna basin i.e. Nagarjuna Sagar dam during the study period shows the water level in the Krishna Basin during the drought year. The spatial distribution of individual years with nine LULC classes shows the overall accuracies of 79% for the year 2013-14 and 85% for the year 2015-16 and Kappa values for 2013-14 and 2015-16 are 0.78 and 0.82 respectively. The cropland classified areas obtained from MODIS data were compared with national statistics for the year 2013-14 with a R2 value of 0.87. Results indicates that changes in irrigated areas in 2015-16 compared to 2013-14 shows the impact on food security.

Item Type:	Thesis (Masters)
Divisions:	Research Program : Innovation Systems for the Drylands (ISD)
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Nagarjuna Sagar, Water stress, Drought, Remote sensing, Ground survey data, Spatial and statistics data, NDVI
Subjects:	Others > GIS Techniques/Remote Sensing Others > Drought Others > Climate Change
Depositing User:	Mr Arun S
Date Deposited:	20 Dec 2020 01:17
Last Modified:	20 Dec 2020 01:22
URI:	http://oar.icrisat.org/id/eprint/11671
Acknowledgement:	UNSPECIFIED
Links:

View Statistics

Actions (login required)

View Item