Estimation of Water-Spread Area of Singoor Reservoir, Southern India by Super Resolution Mapping of Multispectral Satell
- PDF / 1,546,502 Bytes
- 10 Pages / 595.276 x 790.866 pts Page_size
- 103 Downloads / 159 Views
RESEARCH ARTICLE
Estimation of Water-Spread Area of Singoor Reservoir, Southern India by Super Resolution Mapping of Multispectral Satellite Images S. Shanmuga Priyaa1 S. Sanjeevi1
•
V. S. Jeyakanthan2 • C. Heltin Genitha3
•
Received: 18 August 2014 / Accepted: 13 February 2017 Ó Indian Society of Remote Sensing 2017
Abstract Estimation of reservoir water-spread area is often carried out by field surveys which are cumbersome, time consuming, expensive and involves more man power. Hence, such surveys cannot be carried out periodically. To overcome this issue, satellite images are used, wherein the reservoir water-spread is estimated by conventional perpixel classification such as the maximum likelihood and minimum distance to mean approaches that often results in inaccurate estimate of water-spread area due to the presence of mixed pixels. High cost and non-availability of high resolution images demands the use of an alternative approach that can give accurate information about the reservoir water-spread area. In this work, IRS, LISS III images of moderate (24 m) resolution were used for accurate estimation of the water-spread area of Singoor reservoir, southern India. The reservoir water-spread areas were extracted using per-pixel classification, sub-pixel classification and super resolution mapping approaches. These results were validated with the water-spread areas obtained from field data of the same dates. The error produced by the per-pixel approach was 6.66%, while it was 4.37% for the sub-pixel approach and a meagre 1.71% for the super-resolution approach. Fairly less error produced by the super resolution mapping technique implies that it is an efficient approach for accurate quantification of reservoir water-spread area. The estimated water-spread can be
& S. Shanmuga Priyaa [email protected] 1
Department of Geology, Anna University, Chennai, India
2
National Institute of Hydrology, Kakinada, India
3
St. Joseph’s College of Engineering, Chennai, India
used in a simple volume estimation formula to estimate the capacity of the reservoir. Keywords Super resolution mapping Sub-pixel classification Per-pixel classification Reservoir waterspread area estimation
Introduction Information on the storage capacity of a reservoir is essential for irrigation, municipal and industrial water supplies, power, flood control, sediment storage, navigation, recreation, and fish and wild-life habitat management. Periodic field survey of the reservoir has to be carried out to estimate the water-spread at different water levels of the reservoir. The estimated water-spread is used in a simple volume estimation formula to calculate the capacity of the reservoir. However, estimation of water-spread area by field surveys is tedious, time consuming, expensive and involves more man power. Therefore such surveys cannot be carried out at regular intervals. As an alternate to the conventional methods satellite remote sensing provides time- and cost-effective estimation of water-spread area of reservoirs. Extracti
Data Loading...
