Google Earth Engine as Multi-Sensor Open-Source Tool for Monitoring Stream Flow in the Transboundary River Basin
Doosti River Dam
Bibliographic Data
| ID | 22034216 |
|---|---|
| Authors | Hadis Pakdel (0000-0001-5977-1772, University of Southern Queensland, corresponding author), Majid Vazifedoust (0000-0002-0962-2813, University of Guilan), Dev Raj Paudyal (0000-0003-1010-2118, University of Southern Queensland), Sreeni Chadalavada (University of Southern Queensland), Md Jahangir Alam (0000-0002-1025-7067, School of Engineering, The University of Southern Queensland, Springfield Lakes, QLD 4300, Australia), Jahangir Alam (0000-0002-7935-6346, University of Southern Queensland) |
| Year | 2022 |
| Volume | 11 |
| Issue | 11 |
| Pages | 535 |
| Publication date | 2022-10-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi11110535 |
| OpenAlex | W4307237980 |
| Language | EN |
| Citations received | 2 |
| References cited | 69 |
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
Climate change · Climatology · Drainage basin · Evapotranspiration · Geography · Physical geography · Streamflow · Structural basin · Water resources · Environmental Science · Flood Risk Assessment and Management · Hydrology and Drought Analysis · Hydrology and Watershed Management Studies · Ecology · Geology · Oceanography
A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia
Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia
High-resolution mapping of global surface water and its long-term changes
Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
Satellite-derived land surface temperature
Google Earth Engine for geo-big data applications
Global projections of river flood risk in a warmer world
Estimates of the Regression Coefficient Based on Kendall's Tau
Nonparametric Tests Against Trend
Google Earth Engine
From self-sufficient provision of water and energy to regenerative urban development and sustainability
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2024 (2) |
| Highly cited | No |