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Fluvial geomorphology [PDF]

Progress in Physical Geography: Earth and Environment, 1992
This is the Fluvial Geomorphology Report produced by the National Rivers Authority (NRA) in 1994. The purpose of this paper is to briefly outline the relevance of fluvial geomorphology and the substantial benefits which could accrue from applying it ...
Brookes, A.
openaire   +3 more sources

Architecture and geomorphology of fluvial channel systems in the Arabian Basin [PDF]

Scientific Reports
The architecture and geomorphology of fluvial channel system plays an important role in the interpretation of its sedimentary processes and characterization of the ability for subsurface storage.
Dicky Harishidayat, Saleh Al-Dossary, Abdullatif Al-Shuhail   +2 more
doaj   +2 more sources

Quantitative architectural analysis of meandering fluvial point bar of Gudong oilfield in Zhanhua Sag Bohai Bay basin China [PDF]

Scientific Reports
In order to extract the remaining oil from the reservoir during the late stage of development, there is an increasing demand for precise research on the internal architecture of the reservoir.
Yupeng Qiao, Bin Deng, Longwei Qiu, Fan Song, Dongrui Su, Cunlei Li, Ranlei Zhao, Qingyou Yue, Qiushi Zhang, Jie Liu, Panpan Chen   +10 more
doaj   +2 more sources

Global classification of river morphology based on inland water dynamics characterization and digital elevation data [PDF]

Scientific Reports
Classifying river morphology is crucial for fluvial geomorphology and hydrology. River morphology reflects hydrodynamic and sedimentary processes, providing critical insights into the diversity of global river systems.
Yilin Li, Yueze Zhang, Naixi Zheng, Lei Li, Hancheng Ji, Zhidong Bao, Zhiqiang Feng   +6 more
doaj   +2 more sources

THE EVOLUTION OF THE AISNE FLOODPLAIN (ARDENNE, BELGIUM) DURING THE LAST CENTURIES STUDIED WITH THE MICROSLAG DATING METHOD [PDF]

Acta Geobalcanica, 2020
In the Ardenne massif (south Belgium) many traces of metallurgical activity are present. An intensive development of iron industry took place from the Middle Ages until the middle of the 19th century.
Geoffrey Houbrechts, Alexandre Peeters, François Petit, Tomasz Kalicki, Paweł Przepióra   +4 more
doaj   +1 more source

Machine Learning to Estimate Surface Roughness from Satellite Images

Remote Sensing, 2021
We apply the Support Vector Regression (SVR) machine learning model to estimate surface roughness on a large alluvial fan of the Kosi River in the Himalayan Foreland from satellite images.
Abhilash Singh, Kumar Gaurav, Atul Kumar Rai, Zafar Beg   +3 more
doaj   +1 more source

Leveraging hybrid machine learning and data fusion for accurate mapping of malaria cases using meteorological variables in western India

Intelligent Systems with Applications, 2023
We propose a hybrid machine learning algorithm (i.e., P2CA−PSO−ANN) to model malaria outbreak in three districts (Barmer, Bikaner, and Jodhpur) of Rajasthan in the Western India.
Abhilash Singh, Manish Mehra, Amit Kumar, M Niranjannaik, Dev Priya, Kumar Gaurav   +5 more
doaj   +1 more source

Comparison of Different Dielectric Models to Estimate Penetration Depth of L- and S-Band SAR Signals into the Ground Surface

Geographies, 2022
We evaluate the penetration depth of synthetic aperture radar (SAR) signals into the ground surface at different frequencies. We applied dielectric models (Dobson empirical, Hallikainen, and Dobson semi-empirical) on the ground surface composed of ...
Abhilash Singh, M. Niranjannaik, Shashi Kumar, Kumar Gaurav   +3 more
doaj   +1 more source

Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images

Scientific Reports, 2023
We propose a new architecture based on a fully connected feed-forward Artificial Neural Network (ANN) model to estimate surface soil moisture from satellite images on a large alluvial fan of the Kosi River in the Himalayan Foreland.
Abhilash Singh, Kumar Gaurav
doaj   +1 more source

Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions

IEEE Access, 2023
This review provides a detailed synthesis of various in-situ, remote sensing, and machine learning approaches to estimate soil moisture. Bibliometric analysis of the published literature on soil moisture shows that Time-Domain Reflectometry (TDR) is the ...
Abhilash Singh, Kumar Gaurav, Gaurav Kailash Sonkar, Cheng-Chi Lee   +3 more
doaj   +1 more source