Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam

Article


Pakdel-Khasmakhi, Hadis, Vazifedoust, Majid, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir. 2022. "Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam." ISPRS International Journal of Geo-Information. 11 (11), pp. 1-28. https://doi.org/10.3390/ijgi11110535
Article Title

Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin: Doosti River Dam

ERA Journal ID200858
Article CategoryArticle
AuthorsPakdel-Khasmakhi, Hadis, Vazifedoust, Majid, Paudyal, Dev Raj, Chadalavada, Sreeni and Alam, Md Jahangir
Journal TitleISPRS International Journal of Geo-Information
Journal Citation11 (11), pp. 1-28
Article Number535
Number of Pages28
Year2022
PublisherMDPI AG
Place of PublicationSwitzerland
ISSN2220-9964
Digital Object Identifier (DOI)https://doi.org/10.3390/ijgi11110535
Web Address (URL)https://www.mdpi.com/2220-9964/11/11/535
Abstract

Understanding the effects of global change and human activities on water supplies depends greatly on surface water dynamics. A comprehensive examination of the hydroclimatic variations at the transboundary level is essential for the development of any adaptation or mitigation plans to deal with the negative effects of climate change. This research paper examines the hydroclimatic factors that contribute to the desiccation of the Doosti Dam’s basin in the transboundary area using multisensor satellite data from the Google Earth Engine (GEE) platform. The Mann–Kendall and Sens slope estimator test was applied to the satellite datasets to analyse the spatial and temporal variation of the hydroclimate variables and their trend over the transboundary area for 18 years from 2004 to 2021 (as the dam began operating in 2005). Statistical analysis results showed decreasing trends in temperature and an increase in rainfall with respect to station-observed available data. Evapotranspiration and irrigated area development followed the increasing pattern and a slight decrease in snow cover. The results confirmed a large expansion of the irrigated area, especially during the winter growing season. The increase in irrigated cultivated areas during both winter and summer seasons is possibly the main reason for the diversion of water to meet the irrigation requirements of the developed agriculture areas. The approach followed in this study could be applied to any location around the globe to evaluate the hydrological conditions and spatiotemporal changes in response to climate change, trend analysis and human activities.

Keywords Google Earth Engine; spatiotemporal analysis; cloud-computing platform; Doosti Dam; ungauged or sparsely gauged basin; Landsat; MODIS
Article Publishing Charge (APC) Amount Paid2169.86
Article Publishing Charge (APC) FundingResearcher
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020401302. Geospatial information systems and geospatial data modelling
370704. Surface water hydrology
401304. Photogrammetry and remote sensing
Byline AffiliationsAcademic Registrar's Office
School of Engineering
School of Surveying and Built Environment
Murray-Darling Basin Authority, Australia
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