Majid Rahimzadegan

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Verified

Majid verified their affiliation via an institutional email.

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• PhD
• Professor (Associate) at K.N.Toosi University of Technology

Satellite Precipitation Products (SPPs) face challenges in detecting Extreme Precipitation Events (EPEs). Hence, the primary objective of this research is to introduce a novel framework termed Machine-Learning Clustering-Merging Algorithms (ML-CMAs) to evaluate EPEs using SPPs and Auxiliary Data (AD). Daily precipitation measurements were utilized...

This study addresses the critical challenge of managing building element defects, such as cracks and dampness, which contribute to increased repair and maintenance costs. Highlighting the need to minimize human error and enhance the accuracy of defect classification, the research proposes a novel method integrating building information modeling (BI...

The inspection of building components plays a crucial role in reducing maintenance costs throughout the building's life cycle. Many buildings suffer from defects in the building elements, such as surface problems, cracks, and moisture problems. Building Information Modeling (BIM) has become a widely used digital tool for the construction industry,...

The performance of gravity recovery and climate experiment (GRACE) and GRACE-Follow On (GRACE-FO) satellites in estimating groundwater level (GWL) changes on a local scale is a challenging issue. Then, this study aims to investigate the performance of GRACE and GRACE-FO in monitoring GWL changes on a local scale compared to observations at groundwa...

A deep understanding of the different features of various rainfall regimes is essential for water resources management and meteorological studies. Due to the extensive spatial coverage, satellite precipitation products have afforded researchers an excellent opportunity to investigate various precipitation climates. This study employs cutting‐edge s...

One of the most remarkable factors affecting the flood susceptibility in watersheds is the change in land use and land cover (LULC). Moreover, machine learning (ML) methods showed reliable efficiency in predicting LULC and preparing flood susceptibility maps. Therefore, this study aims to predict LULC of the future using land change modeler (LCM),...

In this paper, a new Groundwater Quantity-Quality-based Drought Index (GQQI) is developed based on multi-variate Copula analysis of groundwater quantity and quality indicators. For evaluating the developed index, its temporal and spatial distribution is studied and compared to those of some other indices, such as Standardized Salinity Index (SSI),...

It is the online supplementary materials of corresponding article: Zavareh, M. M. J., Mahjouri, N., Rahimzadegan, M., & Rahimpour, M. (2023). A drought index based on groundwater quantity and quality: Application of multivariate copula analysis. Journal of Cleaner Production, 137959. https://doi.org/10.1016/j.jclepro.2023.137959

Since the data stations are dispersed, PM monitoring sites were matched with meteorological stations based on the neighboring. On the other hand, as MISR pixels are not distributed equally all over the region, we match them to closest PM monitoring site. Previous studies show that the distance between AOD pixels and closest PM monitoring ground sta...

As drought occurs in different climates, assessment of drought impacts on parameters such as vegetation cover is of utmost importance. Satellite remote sensing images with various spectral and spatial resolutions represent information about different land covers such as vegetation cover. Hence, the purpose of this study was to investigate the perfo...

Extracting Total Precipitable Water Vapor (TPW) and its variations from the Moderate Resolution Imaging Spectroradiometer (MODIS) data on a local scale is challenging. Meta-heuristic algorithms have a high ability to solve complex engineering problems of hydrology and climatic studies. Hence, the present study extracts TPW values using meta-heurist...

Satellite precipitation have a lot of uncertainty and the spatial resolution is still quite coarse. Hence, the purpose of this study is to introduce a new approach based on multivariate linear modelling and Artificial Neural Networks (ANN) for the first time using four multisource satellite precipitation products and some other satellite data. Four...

Evaporation over freshwater bodies is one of the main sources of water loss. However, evaporation estimation models using net radiation (Rn) over water bodies have not yet provided proper efficiency, the fact which has led to several attempts to improve such models using satellite images. Therefore, the purpose of this study is to introduce a model...

Estimating total precipitable water vapor (TPWV) from advanced microwave scanning radiometer 2 (AMSR2) measurements with reasonable accuracy is challenging. Then, this study aims to improve the AMSR2 TPWV algorithm using metaheuristic algorithms for the first time. Radiosonde observations of six stations in the western part of Iran during 2020 were...

Soil moisture content (SMC), product of Advanced Microwave Scanning Radiometer 2 (AMSR2), is not at an adequate level of accuracy on a regional scale. The aim of this study is to introduce a simple method to estimate SMC while synergistically using AMSR2 and Moderate Resolution Imaging Spectroradiometer (MODIS) measurements with a higher accuracy o...

The global precipitation measurement integrated multi-satellite retrievals (GPM IMERG) provide a new opportunity to estimate precipitation remotely. However, the accuracy of estimations varies in different regions. Therefore, the aim of this study is to improve the IMERG precipitation estimations using two influencing factors including total precip...

To manage inland water resources, surveying the performance of remote sensing models for estimating the actual evaporation in arid regions is so important. Hence, this study aimed to assess the performance of two energy balance algorithms including surface energy balance algorithm for land (SEBAL) and operational simplified surface energy balance (...

Reliable estimation of probable maximum precipitation (PMP) is critical to ensure the safety and resilience of communities. The aim of this study is to improve the estimation of 24-h PMP using ground-based and remotely sensed data, particularly over data-scarce regions. Gumbel copula, as a bivariate extreme value distribution based on a moisture ma...

Soil salinity is a critical environmental problem especially in arid and semiarid regions. Then, the objective of this study is to detect saline soils by synergistic use of the Advanced Microwave Scanning Radiometer 2 (AMSR2) and the Moderate Resolution Imaging Spectroradiometer (MODIS) images. In this regard, the Total Precipitable Water (TPW) Vap...

Evapotranspiration (ET) is a critical component of the water cycle on a global scale. Changes in leaf area index (LAI) influence ET changes. Satellite products are among the effective methods of estimating ET and LAI at local, regional, and global scales. Therefore, the purpose of our study was to evaluate three global remote sensing products of ET...

The cyanobacterial harmful algal blooms have been observed, over the last decade, in several regions of the southern Caspian Sea, becoming a major threat to human health and aquatic life. The present study aims to develop two models to quantify cyanobacterial concentration in the Caspian Sea using artificial neural networks and multiple band linear...

Numerous remote sensing indices have been introduced to investigate the drought. Hence, the purpose of this study was to develop a Comprehensive Remote Sensing Drought Index (CRSDI) using the strengths of the previous Remote Sensing Drought Indices (RSDIs). Eleven mostly used RSDIs were used to develop CRSDI. Aras and Karkheh basins were studied as...

The performance of the Revised Universal Soil Loss Equation (RUSLE) as the most widely used soil erosion model is a challenging issue. Accordingly, the objective of this study is investigating the estimated sediment delivery by the RUSLE method and Sediment Delivery Distributed (SEDD) model. To this end, the Talar watershed in Iran was selected as...

Various spectral indices have been introduced to ‎detect water extent from satellite images with different performances in various regions. The aim of this study is to provide an ‎efficient index by using Particle Swarm Optimization (PSO) algorithm to detect ‎water spread areas from satellite images with similar performance in different regions. Th...

The Gravity Recovery and Climate Experiment (GRACE) twin satellites introduced a new opportunity to monitor changes in groundwater level. However, the performance of the GRACE-derived Liquid Water Equivalent Thickness (GRACE-LWET) in estimating groundwater-level changes at a local scale requires evaluation. Thus, the main aim of this study is to ev...

Total Precipitable Water (TPW) vapor value in the earth’s atmosphere and its variations are of great importance in atmospheric and climatic studies. Among the most important methods introduced for estimation of TPW are satellite products such as Moderate Resolution Imaging Spectroradiometer (MODIS) and numerical methods such as Weather Research and...

This research aims at predicting the future land-use and examining the effects of the land-use changes on the present and future soil erosion and sediment delivery. Then, Land Change Modeler (LCM) and Geo-spatial Water Erosion Prediction Project (GeoWEPP) were applied. Annual suspended sediment derived from sediment rating curves in Talar Watershed...

Stationary actual evapotranspiration (ET) estimation methods deal with some issues such as maintenance problems, the point data recording for a particular location, the complex hydrological process calculation, and requiring the expert workers. To solve this, ET estimation methods like Surface Energy Balance Algorithm for Land (SEBAL) method can be...

Erosion potential method (EPM) and Modified Pacific Southwest Interagency Committee (MPSIAC) are two empirical models for estimating soil erosion and sediment delivery. These models use a relatively simple formulation, but they are still applied in various areas with different environmental conditions. However, evaluation of their efficiency is cha...

Evapotranspiration (ET) estimation is of great importance due to its key role in water resource management. Surface energy modeling tools such as Surface Energy Balance Algorithm for Land (SEBAL), Mapping Evapotranspiration with Internalized Calibration (METRIC), and the Surface Energy Balance System (SEBS) can estimate the amount of evapotranspira...

MODIS satellite imageries with minimal cloud cover (<25%) were used to extract cyanobacteria index, floating algea index, fluorescence line height, chlorophyll-a and sea surface temperature products, for seven days concurrent with blooms. The results showed a positive correlation between cyanobacteria index and chlorophyll-a (R = 0.74, p ≤ 0.05 and...

Over the past decade, dust storms have increased in Iran. Remote control for spatial and temporal coverage, can provide a valuable source for the study of dust. In this study, levels of dust on the surface of the Golestan province in July 2013, using spectrophotometric sensor data imaging radiometer moderate resolution (MODIS) were estimated. For t...

Evaluation of groundwater resources in dry areas without enough data is a challenging task in many parts of the world, including Tehran–Karaj plain in Iran, which includes Tehran, the capital city of Iran and Karaj, one of Iran’s biggest cities. Water demand due to increasing agricultural and industrial activities caused many problems in the field...

Identification of water extents in Landsat images is challenging due to surfaces with similar reflectance to water extents. The objective of this study is to provide stable and accurate methods for identifying water extents in Landsat images based on meta-heuristic algorithms. Then, seven Landsat images were selected from various environmental regi...

Cyanobacterial blooms in the earth are considered as one cause of water poisoning and a threat to the environment and human health. The Caspian Sea has experienced this phenomenon several times during the past decade. Since this phenomenon is associated with harmful environmental impacts, it is essential to predict, identify and monitor it to manag...

Precise estimation of total precipitable water vapor (TPW) with high temporal and spatial resolutions is of great importance in different disciplines. Moderate-Resolution Imaging Spectroradiometer (MODIS) is one of the sensors which have absorption and nonabsorption bands of water vapor. There is a standard algorithm to produce TPW product of MODIS...

Accurate estimation of atmospheric precipitable water vapor (PWV) with high spatial and temporal resolutions is challenging. The main objective of this study is to develop an algorithm of retrieving PWV from advanced microwave scanning radiometer 2 (AMSR2) images over the land using local data. In this regard, the western part of Iran was selected...

Land use is a dynamic process referring to human activities and various uses carried out over land. Population growth and elevated socio-economic necessities result in pressure on land use. Land use changes have been investigated in Golestan province located in northeastern Iran during 2000 - 2013 at a 30 m spatial resolution using Landsat ETM+ ima...

Atmospheric Water Vapor (AWV) is one of the important parameters in the hydrologic cycle, energy exchange between the surface and the atmosphere, modeling the flow of energy at the ground level and climate change. Thus, the estimation of AWV has a great importance in the hydrology and climate studies. In this paper, the band ratio method was used f...

Over the last few years, most areas of Iran including Golestan province have posed considerable risks to human use and future development. Therefore, several reliable techniques are required to quantify, monitor and update land use maps of these areas to explore rates of environmental retreats. In this study, Landsat-8 ETM+ imageries of 2013 were c...

This paper aims to implement an iterative fuzzy edge detection (IFED) method on blurred satellite images. Some degradation effects such as atmospheric effects, clouds and their shadows, atmospheric aerosols, and fog remarkably decline the quality satellite images. Hence, some processes such as enhancement and edge detection in satellite images are...

Increase of temperature with height in the troposphere is called temperature inversion. Parameters such as strength and depth are characteristics of temperature inversion. Inversion strength is defined as the temperature difference between the surface and the top of the inversion and the depth of inversion is defined as the height of the inversion...

In recent years, satellite sensor images have been commonly used in mineral detection. These images, with different spectral and spatial resolutions, can be used in de-tecting minerals which have surface indicators. Due to numer-ous sources of uncertainties in using spectral processes for mineral explorations and atmospheric effects on the spectrum...

In recent years, extraction of atmospheric temperature and humidity profiles from thermal bands of satellite images is a common practice. The most deployed images for this task have been acquired by Moderate Resolution Imaging Spectroradiometer (MODIS). This sensor which is onboard of Terra and Aqua platforms consists of a spectroradiometer with 36...

The reflectance spectrum of green leaves is considerably affected by their biochemical and biophysical properties. It is possible to extract biochemical information from a continuous vegetation spectrum produced using hyperspectral sensors. The numerous absorption features present in the vegetation spectrum carry a considerable amount of informatio...

Retrieving atmospheric temperature profile (TP) data through satellite thermal radiative measurement has gained lots of attentions in recent years. These retrieved profiles may involve some uncertainties. Although different methods have been introduced to minimize these uncertainties, they are time consuming and complicated. This work, based on the...

This research introduces a technique based on the spectral mixing i.e. something opposite to the well known unmixing technique. This is done by rearrangement and reconstruction of the pixels surface materials in order to make it spectrally look like some predefined pixels. The method is called Pixel MAKeup (PMAK). This means that it is tried to fin...