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Hadis Pakdel

Biographic Data

ID9964752
NAMEHadis Pakdel
GIVEN NAMESHadis
FAMILY NAMEPakdel
SIGNATUREPAKDEL H
AFFILIATIONSUniversity of Southern Queensland
ORCID0000-0001-5977-1772
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia

    Open Access•Hadis Pakdel, Sreeni Chadalavada et al.•ARTICLE•ISPRS International Journal of…•2024

    The severity and frequency of extremes are changing; thus, it is becoming necessary to evaluate the impacts of land cover changes and urbanisation along with climate change. A framework of the Generalised Extreme Value (GEV) method, Google Earth Engine (GEE), and land cover patterns’ classification including Random Forest (RF) and Support Vector Machine (SVM) can be useful for streamflow impact analysis. For this study, we developed a unique fram…

  • A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia

    Open Access•Hadis Pakdel, Dev Raj Paudyal et al.•ARTICLE•ISPRS International Journal of…•2023

    The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is urgent. The aim of this paper is to develop a framework using the geeSEBAL platform, Generalised Extreme Value (GEV) models and spatiotemporal analysis techniques that incorporate the physical sys…

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

    Open Access•Hadis Pakdel, Majid Vazifedoust et al.•ARTICLE•ISPRS International Journal of…•2022

    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 basi…

No prominent works on this page.

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

    Open Access•Hadis Pakdel, Majid Vazifedoust et al.•ARTICLE•ISPRS International Journal of…•2022

    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 basi…

  • A Multi-Framework of Google Earth Engine and GEV for Spatial Analysis of Extremes in Non-Stationary Condition in Southeast Queensland, Australia

    Open Access•Hadis Pakdel, Dev Raj Paudyal et al.•ARTICLE•ISPRS International Journal of…•2023

    The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is urgent. The aim of this paper is to develop a framework using the geeSEBAL platform, Generalised Extreme Value (GEV) models and spatiotemporal analysis techniques that incorporate the physical sys…

  • Variability of Extreme Climate Events and Prediction of Land Cover Change and Future Climate Change Effects on the Streamflow in Southeast Queensland, Australia

    Open Access•Hadis Pakdel, Sreeni Chadalavada et al.•ARTICLE•ISPRS International Journal of…•2024

    The severity and frequency of extremes are changing; thus, it is becoming necessary to evaluate the impacts of land cover changes and urbanisation along with climate change. A framework of the Generalised Extreme Value (GEV) method, Google Earth Engine (GEE), and land cover patterns’ classification including Random Forest (RF) and Support Vector Machine (SVM) can be useful for streamflow impact analysis. For this study, we developed a unique fram…

Climatology (3 works) · Environmental Science (3 works) · Evapotranspiration (3 works) · Geography (3 works) · Geology (3 works) · Hydrology and Drought Analysis (3 works) · Hydrology and Watershed Management Studies (3 works) · Climate change (2 works) · Drainage basin (2 works) · Flood Risk Assessment and Management (2 works)

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