Open AccessWater level monitoring using classification techniques on Landsat‐8 data at Sangam region, Prayagraj, India
Author(s) -
Mishra Vikash K.,
Pant Triloki
Publication year - 2020
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2020.1078
Subject(s) - remote sensing , flood myth , identification (biology) , environmental science , water level , pixel , hydrology (agriculture) , computer science , geology , geography , artificial intelligence , cartography , ecology , archaeology , biology , geotechnical engineering
In the present study, Landsat‐8 data have been used for water identification at the Sangam region, the confluence of the Ganges and Yamuna rivers. Since the water of both the rivers varies in characteristics, it is necessary to explore the most appropriate band of Landsat‐8 imagery for the identification of water bodies. Accordingly, a two folded study has been performed, viz., the selection of a suitable band to identify water bodies and to monitor the water level at the Sangam region from 2013 to 2018. It is observed in the study that band‐7 is the most suitable band for water identification, which is used for the classification and monitoring of water. The classification results are highly significant as the overall accuracy ranges between 95.49 and 100%. The monitoring of water level is done based on classification results for mapping the area of water in real units which can be useful for the prediction of flood situations. The achievement of the present study is the mapping of water area in real units with the help of image pixels which is one of the prominent applications of image processing in earth sciences.