| Titolo |
Pubblicato in |
Anno |
| A Robust Satellite Technique for monitoring landslides impact on electrical infrastructures |
2024 |
2024 |
| Spatiotemporal monitoring of climate change impacts on water resources using an integrated approach of remote sensing and Google Earth Engine |
SCIENTIFIC REPORTS |
2024 |
| Monitoring the Spatio-Temporal Distribution of Soil Salinity Using Google Earth Engine for Detecting the Saline Areas Susceptible to Salt Storm Occurrence |
POLLUTANTS |
2024 |
| Analyzing Urban Drinking Water System Vulnerabilities and Locating Relief Points for Urban Drinking Water Emergencies |
WATER RESOURCES MANAGEMENT |
2024 |
| Detecting small-scale landslides along electrical lines using robust satellite-based techniques |
GEOMATICS, NATURAL HAZARDS & RISK |
2024 |
| Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine |
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT |
2023 |
| An integrated approach of remote sensing and geospatial analysis for modeling and predicting the impacts of climate change on food security |
SCIENTIFIC REPORTS |
2023 |
| Monitoring Trends of CO, NO2, SO2, and O3 Pollutants Using Time-Series Sentinel-5 Images Based on Google Earth Engine |
POLLUTANTS |
2023 |
| An integrated approach of deep learning convolutional neural network and google earth engine for salt storm monitoring and mapping |
ATMOSPHERIC POLLUTION RESEARCH |
2023 |
| Spatial-temporal analysis of day-night time SUHI and its relationship between urban land use, NDVI, and air pollutants in Tehran metropolis |
APPLIED GEOMATICS |
2023 |
| Harnessing the Power of Remote Sensing and Unmanned Aerial Vehicles: A Comparative Analysis for Soil Loss Estimation on the Loess Plateau |
DRONES |
2023 |
| Monitoring the impacts of crop residue cover on agricultural productivity and soil chemical and physical characteristics |
SCIENTIFIC REPORTS |
2023 |
| An integrated geospatial and statistical approach for flood hazard assessment |
ENVIRONMENTAL EARTH SCIENCES |
2023 |
| Desert landform detection and mapping using a semi-automated object-based image analysis approach |
JOURNAL OF ARID ENVIRONMENTS |
2022 |
| Detecting and mapping karst landforms using object-based image analysis. Case study: Takht-Soleiman and Parava Mountains, Iran |
THE EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES |
2022 |
| Developing an integrated approach based on geographic object-based image analysis and convolutional neural network for volcanic and glacial landforms mapping |
SCIENTIFIC REPORTS |
2022 |
| An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran |
SCIENCE OF THE TOTAL ENVIRONMENT |
2021 |
| A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran |
CATENA |
2021 |
| An object based image analysis applied for volcanic and glacial landforms mapping in Sahand Mountain, Iran |
CATENA |
2021 |
| A comparative approach of data-driven split-window algorithms and MODIS products for land surface temperature retrieval |
APPLIED GEOMATICS |
2021 |
