Detection of reservoir water levels using landsat remote sensing data over Ermenek and Altınkaya dams

Download

index.pdf

Date

2019

Author

Şenocak, Ali Ulvi Galip

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

205
views

90
downloads

Detection of water border using remote sensing observations at the visible bands and incorporating them with the digital elevation map is a useful approach for detecting water volume of dams and the water bodies with existing DEM images. In this study, NDWI, NDPI, WI2015 and AWEI indices retrieved using Landsat 8 images and ASTER/SRTM DEM maps are utilized to infer about the water levels of Ermenek and Altınkaya dams’ reservoir water levels. To reduce the water level retrieval errors during the cloudy and the snow-covered areas, F-Mask cloud masking algorithm and a TCW-based custom index with optimized parameters have been introduced. Moreover, in order to prevent the affection of pixels that are located far away from the area of interest, a water-area-based shape file and proximity buffer have been introduced. Lastly, after the completion of the analysis, a statistical model has been applied to combine the results with DEM to get the elevation value as a result. Results show RMSE of the water level estimation over Ermenek and Altınkaya are 3.63 m and 3.34 m, respectively for the best index/DEM scenario when the models are trained and calibrated over the same dam. On the other hand, the errors increase to 5.13 m and 5.09 m respectively for Ermenek and Altınkaya dams when the validation and the calibration are done over different dams

Subject Keywords

Dams., Water Elevation, Landsat, Digital Elevation Map, Remote Sensing, Dam Reservoir.

URI

http://etd.lib.metu.edu.tr/upload/12623924/index.pdf
https://hdl.handle.net/11511/44705

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Automatic Water Canal Detection in Multispectral Satellite Images Gedik, Ekin; Kahraman, Ersin; Çinar, Umut; Çetin, Yasemin; Halıcı, Uğur (2013-04-26) In this paper, a method for automatically detecting water regions and classifying water canals containing water in high resolution multispectral satellite images in a rule based manner is proposed. As water canals may be of different lengths and widths, indices employed in the literature and image gradients are used adaptively to classify water regions. The well known spatial properties of water canals are used to determine the water canals among the extracted water regions. The proposed algorithm is tested...
Determination of Secchi disc depths in Lake Eymir using remotely sensed data Yüzügüllü, Onur; Aksoy, Ayşegül (null; 2010-06-05) In this study Secchi disk depths (SDD) are determined in an eutrophic Eymir Lake in Ankara using the multi-spectral image obtained from the Quickbird satellite. For this purpose, empirical models given in literature and artificial neural networks (ANN) are used. SDDs at 17 sampling points in Eymir Lake are measured via field studies. In the satellite image, pixel values at the sampling points are determined using ERDAS Imagine. Results indicate very low correlations between the SDD values calculated using t...
A new robust method for bridge detection from high resolution electro optic satellite images Gedik, Ekın; Cınar, Umut; Karaman, Ersin; Çetin, Yasemin; Halıcı, Uğur (null; 2012-05-09) In this paper, an automatic approach for identifying bridges over water in satellite images is proposed. The proposed algorithm has three main steps. It starts with extracting the water regions in the satellite image by thresholding the NIR and clustering the NDWI images. Next possible river and water canals in the extracted water mask are identified by certain geometric constraints. Finally possible bridge regions are extracted by morphological operations applied to the water and river-canal mask....
Determination of geostatistically representative sampling locations in Porsuk Dam Reservoir Turkey Aksoy, Ayşegül; Düzgün, Hafize Şebnem (2013-09-13) Several factors such as wind action, bathymetry and shape of a lake/reservoir, inflows, outflows, point and diffuse pollution sources result in spatial and temporal variations in water quality of lakes and reservoirs. The guides by the United Nations Environment Programme and the World Health Organization to design and implement water quality monitoring programs suggest that even a single monitoring station near the center or at the deepest part of a lake will be sufficient to observe long-term trends if th...
Determination of potential groundwater discharge zones into a Salt Lake using remote sensing techniques and in situ measurements Kılıç, Ecenur; Yılmaz, Koray Kamil; Süzen, Mehmet Lütfi (2015-04-17) Groundwater and surface water are integral components of the hydrologic system with strong feedback mechanisms and hence should be treated as a single resource. Existence of groundwater discharge into lakes is a very significant factor that affects both the water quantity of the lake as well as its ecological and biological diversity. The degree of interaction is more significant for shallow lakes because of their increased vulnerability due to limited volume and rapid changes in the extent and duration of ...

Citation Formats

A. U. G. Şenocak, “Detection of reservoir water levels using landsat remote sensing data over Ermenek and Altınkaya dams,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Civil Engineering., Middle East Technical University, 2019.