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Water is an essential natural resource that creates the foundation for all life on earth. It is therefore crucial that our water supplies are maintained and managed. To address these challenges, an attempt is made in this paper to study the changes in water bodies using the Google Earth Engine (GEE) algorithms. The chosen study area is the Pakhal lake situated in the Warangal district of Telangana State, India. The NDVI and NDWI indices are used in extracting water bodies over the lake. The harmonic time series model is used to calculate the missing data and to reduce the noise in the data. The calculated suitability index, based on the area and perimeter of the lake, is below 0.18, and hence, this lake can be strongly categorized as a wetland. The high-resolution multispectral satellite imagery (Sentinel-2) is used for change detection of the lake using the spectral water indices. The image classification of Pakhal lake is carried out using the Landsat images. Random forest image classification is performed to estimate the training and the validation accuracy based on the Kappa coefficient. The water change intensity and seasonality water change over the wetland for the period 198

Author

Ashok Amgoth; H. P. Rani; K. V. Jayakumar

Publisher

Springer Nature Singapore : Imprint: Springer

Published

2022

Language

EN

ISBN

9789811903038

Subjects

Engineering, Technology, Science