Analyzing the variations in the water surface area of Taleqan Dam of Iran using ground-based and satellite observations

Accurate and long-term series surface water extraction from dams are of great significance for developing the agroecosystem and sustainable management of water resources. By expanding the remote sensing data with an excellent spatial-temporal resolution, it is possible to monitor various hydrological parameters such as dams’ water level and surface area. This study provides a quick and robust method for open-surface water detection based on the Google Earth Engine (GEE) platform in Taleqan Dam. For this purpose, 90 Sentinel-2 images from September 2015 to November 2019 were used. First, the NDWI index separated water pixels from non-water pixels. Then binary segmentation was conducted to extract water pixels from NDWI images to calculate the water surface area. Comparing two time series of water surface area results obtained from Sentinel-2 images with in-situ data showed RMSE values of 0.43 km$^{\mathbf{2}}$, a correlation of 93.64%, and an RRMSE value of 4.09%. Also, the results showed that the most significant increase in the water surface area with a value of 1.22 km}$^{\mathbf{2}}$ occurred from June 27, 2018, to August 1, 2018, and also the most significant decrease. It also happened with 1.75 km}$^{\mathbf{2}}$ from May 23, 2017, to June 12, 2017. On the other hand, the variations average of the water surface area with a value of -0.03 km}$^{\mathbf{2}}$ shows a slight decrease in the water surface area of Taleqan Dam in the study period.

• Publication year

  2023

• Venue

  2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS)

• Publication date

  2023-01-27

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/MIGARS57353.2023.10064509
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A COMPARISON OF SIMULATED RUNOFF BASED ON GROUND RAIN GAUGES AND PERSIANN-CDR SATELLITE PRECIPITATION RECORDS USING SWAT MODEL

  2023cited by this paper
• Future runoff assessment under climate change and land-cover alteration scenarios: a case study of the Zayandeh-Roud dam upstream watershed

  2022cited by this paper
• Reservoirs*

  2021cited by this paper
• Winter wheat planted area monitoring and yield modeling using MODIS data in the Huang-Huai-Hai Plain, China

  2021cited by this paper
• Runoff responses to human activities and climate change in an arid watershed of central Iran

  2021cited by this paper
• Gainers and losers of surface and terrestrial water resources in China during 1989–2016

  2020cited by this paper
• High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015

  2020cited by this paper
• Amazon deforestation drives malaria transmission, and malaria burden reduces forest clearing

  2019cited by this paper
• Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017.

  2019cited by this paper
• Long-Term Changes of Open-Surface Water Bodies in the Yangtze River Basin Based on the Google Earth Engine Cloud Platform

  2019cited by this paper
• Divergent trends of open-surface water body area in the contiguous United States from 1984 to 2016

  2018cited by this paper
• Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images

  2018cited by this paper
• GIS-Based Analysis of Changing Surface Water in Rajshahi City Corporation Area Using Support Vector Machine (SVM), Decision Tree & Random Forest Technique

  2018cited by this paper
• A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring

  2017cited by this paper
• Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors

  2017cited by this paper
• A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform

  2017cited by this paper
• An enhanced water index in extracting water bodies from Landsat TM imagery

  2017cited by this paper
• A weighted normalized difference water index for water extraction using Landsat imagery

  2017cited by this paper
• Google Earth Engine: Planetary-scale geospatial analysis for everyone

  2017cited by this paper
• High-resolution mapping of global surface water and its long-term changes

  2016cited by this paper
• Comparing Landsat water index methods for automated water classification in eastern Australia

  2016cited by this paper
• Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree

  2016cited by this paper
• Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach

  2015cited by this paper
• A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques

  2015cited by this paper
• High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery

  2015cited by this paper
• Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery

  2014cited by this paper
• Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery

  2014cited by this paper
• Normalized difference water indexes have dissimilar performances in detecting seasonal and permanent water in the Sahara–Sahel transition zone

  2012cited by this paper
• Water Body Extraction Methods Study Based on RS and GIS

  2011cited by this paper
• Coastline change detection using remote sensing

  2007cited by this paper
• Global inundation dynamics inferred from multiple satellite observations, 1993–2000

  2007cited by this paper
• Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery

  2006cited by this paper
• The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features

  1996influential reference
• ISPRS Journal of Photogrammetry and Remote Sensing

  year unknowncited by this paper

• Semi-Supervised Building Change Detection From Bitemporal Remote Sensing Images Leveraging Visual–Language Models and Consistency Learning

  2026cites this paper
• USING OPTICAL SATELLITE IMAGES AND SATELLITE ALTIMETRY DATA TO ESTIMATE VOLUME VARIATIONS IN DAMS

  2024cites this paper