A5069268571- Soil Geostatistics and Mapping
- Aeolian processes and effects
- Geochemistry and Geologic Mapping
- Atmospheric chemistry and aerosols
- Atmospheric aerosols and clouds
- Soil and Unsaturated Flow
- Remote Sensing in Agriculture
- Marine and environmental studies
- Soil and Land Suitability Analysis
- Soil erosion and sediment transport
- Fire effects on ecosystems
- Smart Materials for Construction
- Soil and Environmental Studies
- Geology and Paleoclimatology Research
- Biocrusts and Microbial Ecology
- Mineral Processing and Grinding
- Groundwater and Isotope Geochemistry
- Hydrology and Watershed Management Studies
- Analytical chemistry methods development
- Soil Moisture and Remote Sensing
- Building materials and conservation
- Hydrological Forecasting Using AI
- Transboundary Water Resource Management
- Calcium Carbonate Crystallization and Inhibition
- Aquatic Ecosystems and Phytoplankton Dynamics
University of Maragheh
2016-2024
ETH Zurich
2021-2022
Tarbiat Modares University
2013-2019
United States Postal Service
2017
Soil salinization is one of the significant soil degradation problems especially faced in arid and semi-arid regions world. It poses a high threat to productivity agricultural lands. The demand for economic rapid detection temporal monitoring salinity has been rising recently. Satellite imagery remote sensing approaches are tools accurate prediction mapping various This study aims compare Landsat- 8 OLI Sentinel-2A derived maps western part Urmia Lake Iran by applying three different indices...
The aim of this study is to comparatively analyze the performance machine learning (ML) algorithms for modeling soil salinity using field-based electrical conductivity (EC) data and Landsat-8 OLI satellite images with derived environmental covariates. We also interpret explain ML models without over-sampling methods Shapley (SHAP) values, an explainable approach that has not yet been utilized estimation tasks as problem. investigate two case areas from western southeastern Lake Urmia Playas...
In this article, the possibility of predicting soil electrical conductivity (EC) from enhanced thematic mapper plus (ETM+) data is studied using multiple regression technique. regard, EC was measured in 188 points an area 5000 ha, Western Urmia Lake, northwest Iran. ETM+ for sampling dates were also acquired. Then, (as dependent variable) and reflectance original bands their ratios besides different extracted indices independent variables) used to construct relations predict salinity....
Abstract. The emergence of desiccated lake bed sediments and their exposure to wind erosion as a consequence climate change drought in arid semiarid regions the world poses growing hazard. Airborne dust originating from such soils can create health environmental issues due high salt content presence toxic elements. aim present study is twofold, namely investigate newly emerged playa surfaces western Lake Urmia (LU) Iran contribution aerosol region by means physicochemical, mineralogical,...
Lake Urmia is one of the most important salt lakes in world and largest Iran. At present, because recession deposition lacustrine sediments on lake bed, a large part surrounding areas has become flat with several playa surfaces. So far, there have been very few studies related to its geomorphology. Therefore, aim this research was field study surfaces eastern also identify susceptible wind erosion. In study, different from northeast south were identified mapped using satellite imagery. Then,...
In the digital soil mapping framework, machine learning (ML) algorithms are currently most popular methods for spatial prediction of properties. The fast developments easy-to-use software implementations a large panel ML have encouraged comparison studies between algorithms, with goal ranking their performances and identifying best ones among them. However, as no firm conclusions can be drawn about algorithm to used in general, this suggests that combining set them could better approach....
In this study it is shown how kriging with measurement errors (KME) useful as opposed to more conventional methods. The goal of the was properly account for field measured soil electrical conductivity (EC) soft data spatial prediction salinity. Samplings were done in autumn 2009 (first dataset), spring and 2010 (second third datasets) around Uromieh Lake, northwest Iran. salinity both laboratory first second datasets. dataset used error measurements from which an variance can be estimated....
Drying of Urmia Lake in the north-west Iran threatens all agricultural lands around Lake. Therefore, soil salinity appears to be major threat area. The aim present study was investigate spatial variation top by taking into account underground water quality data as secondary information. research performed on a grid 500 m an area 5000 ha. Soil samples were gathered during autumn 2009 and repeated spring 2010. Electrical conductivity measured 1:2.5 suspension. Then covariance functions build...
Abstract. Ice-nucleating particles (INPs) originating from deserts, semi-arid regions, and dried lakebeds may cause heterogeneous ice nucleation, impacting cloud properties. Recently, due to climate change water scarcity, abandoned agricultural lands with little surficial crust negligible vegetation cover have become an increasing source of atmospheric dust worldwide. Unlike these areas are rich in soluble salt (bio-)organic compounds. Using soil samples various sites the Lake Urmia playa...
Dust phenomenon is one of the biggest environmental problems in arid and semiarid regions. In these areas, lakes wetlands are natural dust traps core sampling method can be an appropriate way to assess dust. Therefore, purpose this study frequency characteristics sediments samples from Hashilan wetlands, Kermanshah. Four intact were taken different parts wetland Physical, chemical micromorphological analysis done. Also clay mineralogy was performed using X-ray (XRD) shape particles...
Gradual drying of Urmia Lake has left vast saline areas all around it, increasing the risk salinization agricultural lands next to Lake. The current research was aimed predict soil salinity and distinguish boundary line between by taking in account spatial variability Bonab Plain, Iran. To do so, samples were taken from depth 0-25 cm 78 points with intervals 500 m analyzed for their electrical conductivity saturated paste extractions. Data analysis showed that mean wasn’t stationary varying...
Data reduction is used to aggregate or amalgamate the large data sets into smaller and manageable information pieces in order fast accurate classification of different attributes. However, excessive spatial spectral may result losing masking important radiometric information. Therefore, we conducted this research evaluate effectiveness algorithms including Principle Component Analysis (PCA) Minimum Noise Fraction (MNF) transformation, Pixel Purity Index (PPI), n Dimensional Visualizer (n-DV)...
Indirect measurement of soil electrical conductivity (EC) has become a major data source in spatial/temporal monitoring salinity. However, many cases, the weak correlation between direct and indirect EC reduced accuracy performance predicted maps. The objective this research was to estimate based on general linear model via using several properties. Through calibration equations, error involved such model-based calculated employed mapping kriging with errors (KME) method. results were then...