Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS

H Mojaddadi, B Pradhan, H Nampak… - … , Natural Hazards and …, 2017 - Taylor & Francis
In this paper, an ensemble method, which demonstrated efficiency in GIS based flood
modeling, was used to create flood probability indices for the Damansara River catchment in …

A parallelization framework for calibration of hydrological models

E Rouholahnejad, KC Abbaspour, M Vejdani… - … Modelling & Software, 2012 - Elsevier
Large-scale hydrologic models are being used more and more in watershed management
and decision making. Sometimes rapid modeling and analysis is needed to deal with …

Flood hazard and flood risk assessment using a time series of satellite images: A case study in Namibia

S Skakun, N Kussul, A Shelestov, O Kussul - Risk Analysis, 2014 - Wiley Online Library
In this article, the use of time series of satellite imagery to flood hazard mapping and flood
risk assessment is presented. Flooded areas are extracted from satellite images for the flood …

Efficiency assessment of using satellite data for crop area estimation in Ukraine

FJ Gallego, N Kussul, S Skakun, O Kravchenko… - International Journal of …, 2014 - Elsevier
The knowledge of the crop area is a key element for the estimation of the total crop
production of a country and, therefore, the management of agricultural commodities markets …

On inclusion of water resource management in Earth system models–Part 2: Representation of water supply and allocation and opportunities for improved modeling

A Nazemi, HS Wheater - Hydrology and Earth System Sciences, 2015 - hess.copernicus.org
Human water use has significantly increased during the recent past. Water withdrawals from
surface and groundwater sources have altered terrestrial discharge and storage, with large …

Next generation of GIS: must be easy

AX Zhu, FH Zhao, P Liang, CZ Qin - Annals of GIS, 2021 - Taylor & Francis
Existing GIS software mainly target at expert users and do not sufficiently integrate resources
for efficient computing. They are difficult for non-experts to use and are often slow in …

The use of satellite SAR imagery to crop classification in Ukraine within JECAM project

N Kussul, S Skakun, A Shelestov… - 2014 IEEE Geoscience …, 2014 - ieeexplore.ieee.org
In this paper, we focus on the application of satellite synthetic-aperture radar (SAR) images
for discriminating summer crops in Ukraine within the JECAM project. Both optical (EO …

A review of flash‐floods management: From hydrological modeling to crisis management

S Sadkou, G Artigue, N Fréalle, PA Ayral… - Journal of Flood Risk …, 2024 - Wiley Online Library
In a context of climate change, flash‐floods are expected to increase in frequency.
Considering their devastating impacts, it is primordial to safeguard the exposed population …

Distributed computation of large scale SWAT models on the Grid

S Yalew, A van Griensven, N Ray… - … Modelling & Software, 2013 - Elsevier
The increasing interest in larger spatial and temporal scale models and high resolution input
data processing comes at a price of higher computational demand. This price is evidently …

The wide area grid testbed for flood monitoring using earth observation data

NN Kussul, AY Shelestov, SV Skakun… - IEEE Journal of …, 2012 - ieeexplore.ieee.org
In this paper we present the results of the Wide Area Grid (WAG) project that was carried out
within the Working Group on Information Systems and Services (WGISS) of the Committee …