Bashar Bashir
Biographic Data
| ID | 7868449 |
|---|---|
| NAME | Bashar Bashir |
| GIVEN NAMES | Bashar |
| FAMILY NAME | Bashir |
| SIGNATURE | BASHIR B |
| AFFILIATIONS | King Saud University |
| ORCID | 0000-0003-0384-9061 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Future Site Suitability for Urban Waste Management in English Bazar and Old Malda Municipalities, West Bengal
The rapid urbanization occurring globally has significantly intensified the challenges of waste management in densely populated metropolitan areas. A growing amount of waste has become a major concern for municipal authorities and local governments due to the limited availability of suitable land. Geospatial techniques, such as Geographic Information Systems (GISs) and remote sensing, combined with machine learning, play a crucial role in identif…
Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland
The development of new techniques, such as machine learning (ML), can provide better insight into the processes and drivers of soil erosion and runoff. However, the performance of these techniques to assess soil erosion in agricultural landscapes is poorly understood. The aim of this study was to evaluate the performance of four machine learning algorithms, generalized linear model (GLM), Random Forest (RF), elastic net regression (EN) and multip…
Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe
The Modified Fournier Index ( MFI ) is one of the indices that can assess the erosivity of rainfall. However, the implementation of the artificial neural network (ANN) for the prediction of the MFI is still rare. In this research, climate data (monthly and yearly precipitation ( p i , P total ) (mm), daily maximum precipitation ( P d-max ) (mm), monthly mean temperature ( T avg ) (°C), daily maximum mean temperature ( T d-max ) (°C), and daily mi…
Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa
Drought is one of the natural hazards that have negatively affected the agricultural sector worldwide. The aims of this study were to track drought characteristics (duration (DD), severity (DS), and frequency (DF)) in South Africa between 2002 and 2021 and to evaluate its impact on wheat production. Climate data were collected from the South African Weather Service (SAWS) along with wheat yield data from the Department of Agriculture, Forestry an…
Paradigm of Geological Mapping of the Adıyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques
A principal and independent component analysis (PCA and ICA) and a minimum noise fraction analysis (MNFA) were applied in this study to Landsat 8 Operational Land Imager (OLI) images along the Adıyaman fault zone in Eastern Turkey. These analyses indicated that the lithologic units, fault patterns, and the morphological and structural features can be mapped highly accurately by using spectral-matching techniques in regions where rocks are well ex…
Morpho-tectonic Assessment of the Abu-Dabbab Area, Eastern Desert, Egypt
The Abu-Dabbab area, located in the central part of the Egyptian Eastern Desert, is an active seismic region where micro-earthquakes (≈ML 1.73) tectonic activity signals all over the study area. Firstly, our results indicate low to medium tectonic activity and general anomaly patterns detected along the major tectonic zones of the study area. Secondly, based on most of the low to medium tectonic activity distributed in the study area and the dete…
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Paradigm of Geological Mapping of the Adıyaman Fault Zone of Eastern Turkey Using Landsat 8 Remotely Sensed Data Coupled with PCA, ICA, and MNFA Techniques
A principal and independent component analysis (PCA and ICA) and a minimum noise fraction analysis (MNFA) were applied in this study to Landsat 8 Operational Land Imager (OLI) images along the Adıyaman fault zone in Eastern Turkey. These analyses indicated that the lithologic units, fault patterns, and the morphological and structural features can be mapped highly accurately by using spectral-matching techniques in regions where rocks are well ex…
Morpho-tectonic Assessment of the Abu-Dabbab Area, Eastern Desert, Egypt
The Abu-Dabbab area, located in the central part of the Egyptian Eastern Desert, is an active seismic region where micro-earthquakes (≈ML 1.73) tectonic activity signals all over the study area. Firstly, our results indicate low to medium tectonic activity and general anomaly patterns detected along the major tectonic zones of the study area. Secondly, based on most of the low to medium tectonic activity distributed in the study area and the dete…
Predicting Modified Fournier Index by Using Artificial Neural Network in Central Europe
The Modified Fournier Index ( MFI ) is one of the indices that can assess the erosivity of rainfall. However, the implementation of the artificial neural network (ANN) for the prediction of the MFI is still rare. In this research, climate data (monthly and yearly precipitation ( p i , P total ) (mm), daily maximum precipitation ( P d-max ) (mm), monthly mean temperature ( T avg ) (°C), daily maximum mean temperature ( T d-max ) (°C), and daily mi…
Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa
Drought is one of the natural hazards that have negatively affected the agricultural sector worldwide. The aims of this study were to track drought characteristics (duration (DD), severity (DS), and frequency (DF)) in South Africa between 2002 and 2021 and to evaluate its impact on wheat production. Climate data were collected from the South African Weather Service (SAWS) along with wheat yield data from the Department of Agriculture, Forestry an…
Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland
The development of new techniques, such as machine learning (ML), can provide better insight into the processes and drivers of soil erosion and runoff. However, the performance of these techniques to assess soil erosion in agricultural landscapes is poorly understood. The aim of this study was to evaluate the performance of four machine learning algorithms, generalized linear model (GLM), Random Forest (RF), elastic net regression (EN) and multip…
Future Site Suitability for Urban Waste Management in English Bazar and Old Malda Municipalities, West Bengal
The rapid urbanization occurring globally has significantly intensified the challenges of waste management in densely populated metropolitan areas. A growing amount of waste has become a major concern for municipal authorities and local governments due to the limited availability of suitable land. Geospatial techniques, such as Geographic Information Systems (GISs) and remote sensing, combined with machine learning, play a crucial role in identif…
Environmental Science (3 works) · Geography (3 works) · Geology (3 works) · Cartography (2 works) · Climate variability and models (2 works) · Geochemistry and Geologic Mapping (2 works) · Geomorphology (2 works) · Hydrology and Drought Analysis (2 works) · Mathematics (2 works) · Meteorology (2 works)