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    Soil Moisture Content Estimation Based on Satellite Imagery

    , M.Sc. Thesis Sharif University of Technology Rabiei, Saman (Author) ; Tajrishy, Masoud (Supervisor) ; Jalilvand, Ehsan (Co-Supervisor)
    Abstract
    The aim of this study is to provide an algorithm for estimating the Soil Moisture Content (SMC) using Sentinel satellite images for the Varamin and Karaj provinces. Soil moisture varies greatly due to various factors such as land surface changes (roughness, soil type, and vegetation cover), topography and weather conditions. Due to the high cost of traditional methods of measuring soil moisture and also the large spatial changes of soil moisture, the use of these methods to prepare high-precision maps and for long periods of time or in a global scale is not possible. This study examines the relationship between soil spectral reflection diagrams using optical images in the range of 400 to... 

    Adaptive proper orthogonal decomposition for large scale reliable soil moisture estimation

    , Article Measurement Science and Technology ; Volume 32, Issue 11 , 2021 ; 09570233 (ISSN) Pourshamsaei, H ; Nobakhti, A ; Jana, R. B ; Sharif University of Technology
    IOP Publishing Ltd  2021
    Abstract
    A major challenge in automatic irrigation of extensive agricultural fields is large scale soil moisture monitoring. Proper orthogonal decomposition (POD) is a widespread data-driven dimension reduction technique which can be combined with QR pivoting method for estimation of high-dimensional signals and optimal sensor placement. However, it requires computation of tailored basis functions which should be extracted from known training data. This is feasible for problems with constant features such as face recognition. However, using fixed bases (and probably fixed sensor selection) may not be an appropriate approach for estimation of signals with time-variant features. This paper demonstrates... 

    A method to estimate surface soil moisture and map the irrigated cropland area using sentinel-1 and sentinel-2 data

    , Article Sustainability (Switzerland) ; Volume 13, Issue 20 , 2021 ; 20711050 (ISSN) Rabiei, S ; Jalilvand, E ; Tajrishy, M ; Sharif University of Technology
    MDPI  2021
    Abstract
    Considering variations in surface soil moisture (SSM) is essential in improving crop yield and irrigation scheduling. Today, most remotely sensed soil moisture products have difficulties in resolving irrigation signals at the plot scale. This study aims to use Sentinel-1 radar backscatter and Sentinel-2 multispectral imagery to estimate SSM at high spatial (10 m) and temporal resolution (at least 5 days) over an agricultural domain. Three supervised machine learning algorithms, multilayer perceptron (MLP), a convolutional neural network (CNN), and linear regression models, were trained to estimate changes in SSM based on the variation in surface reflectance and backscatter over five... 

    Modeling spatial variability of daily rainfall in southwest Iran

    , Article Scientia Iranica ; Volume 10, Issue 2 , 2003 , Pages 164-174 ; 10263098 (ISSN) Saghafian, B ; Tajrishy, M ; Shahraini, H. T ; Jalali, N ; Sharif University of Technology
    Sharif University of Technology  2003
    Abstract
    Rainfall characteristics, which include spatial variability, exert a major influence on runoff properties. Many techniques have been proposed for determining the spatial distribution of daily rainfall. One of these techniques is spatial modeling, based on rainfall data measured by rain-gauge networks. In this study, application of different interpolation methods in the GIS environment, for estimating the spatial distribution of daily rainfall in the southwest of Iran with low rain-gauge density, have been compared on a regional scale. The cross validation technique was selected as an accuracy index and statistical parameters, such as MAE (Mean Absolute Error) and MBE (Mean Bias Error), were... 

    Estimation of Rainfall Values by using Soil Moisture as a Natural Measurment with SM2RAIN Algorithm (Case study: Orumia lake Catchment)

    , M.Sc. Thesis Sharif University of Technology Fereydooni, Mehdi (Author) ; Tajrishy, Masoud (Supervisor)
    Abstract
    The direct impact of rainfall in human life and its fundamental role in water resources management cause the development of methods and algorithms to estimate the rainfall among the researchers. In the past decades the traditional methods were used to measure the amount of rainfall until the advent of Meteorological Satellites has sparked a revolution in this field. Significant temporal and spatial changes of rainfall and the small number of the synoptic stations caused negative impact on the actual distribution of the amount of rainfall in a vast area. The rainfall satellite data were somewhat overcome by existing deficiencies in Synoptic methods by providing a better rainfall distribution... 

    Estimation of the Total Water Entering the Soil (Precipitation and Irrigation) Using in Situ and Satellite Soil Moisture Data

    , Ph.D. Dissertation Sharif University of Technology Jalilvand, Ehsan (Author) ; Tajrishy, Masoud (Supervisor) ; Brocca, Luca (Supervisor)
    Abstract
    Precipitation is the most important term in the world water balance and irrigation is the major consumer of fresh water resources. However, most of the precipitation products are unable to accurately estimate the amount of water that is reaching the ground. Moreover limited information are available in terms of irrigated area and irrigation water use (IWU) at the global scale. On the other hand the confounding effect of the climate change and the world population growth has accelerated the decline in the world fresh water resources. Thereby, the precise estimates of these two parameters (i.e. Precipitation and irrigation) is essential for food and water security. In this study the soil water... 

    Self-Powered soil moisture monitoring sensor using a picoampere quiescent current wake-up circuit

    , Article IEEE Transactions on Instrumentation and Measurement ; Volume 69, Issue 9 , 2020 , Pages 6613-6620 Kargaran, M ; Habibi, M ; Magierowski, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Low-power wireless stand-alone sensors that can operate without any wiring have received significant attention in sensor network applications. These devices harvest environmental energy resources to supply their power and transfer their collected data using wireless RF links. In many instances, the power supplied from the environment is far less than the power required by the sensor device. In this case, the main solution is to accumulate energy on a storage element, and when enough energy is stored, the sensor node is instantaneously activated using an undervoltage lockout (UVLO) circuit. During this short time burst, the sensor performs the required acquisition, transmits the results, and... 

    Management of Dams Release According to Agricultural Water Needs with the Aim of Increasing Water Supply to Environmental Needs (A Case Study of Bukan Dam)

    , M.Sc. Thesis Sharif University of Technology Moghaddas, Mohsen (Author) ; Tajrishi, Mohammad Massoud (Supervisor)
    Abstract
    The purpose of this research is to first provide an algorithm to reduce the scale of large-scale microwave soil moisture images and then develop an algorithm based on it to manage the release of dams downstream of which are agricultural lands and wetlands. Considering that providing irrigation needs is the purpose of building dams and agriculture is the main consumer of water in dams, optimizing the related releases has a significant effect on reducing water consumption and the possibility of releasing more water for water needs. It has a downstream environment, also agricultural water management has a direct impact on the production of agricultural products and preservation of natural... 

    A semi-empirical shear strength model for infilled rock fractures with infills in an unsaturated state

    , Article Geotechnical Frontiers 2017, 12 March 2017 through 15 March 2017 ; Issue GSP 280 , 2017 , Pages 529-538 ; 08950563 (ISSN) Khosravi, A ; Mousavi, S ; Khosravi, M ; Brandon T. L ; Valentine R. J ; Geo-Institute (G-I) of the American Society of Civil Engineers; Industrial Fabrics Association International (IFAI) ; Sharif University of Technology
    American Society of Civil Engineers (ASCE)  2017
    Abstract
    Based on the results of recent studies, comprehensive characterization of the behavior of infilled rock fractures under saturated and unsaturated conditions requires knowledge of morphological details of fracture surface, as well as state of stress of infill materials and their initial innate conditions (e.g., void ratio, water content, degree of saturation and dry density). This paper describes a semi-empirical equation to interpret the effects of wall-roughed nature of the fractures and presence of partially saturated fine materials within the fractures on the behavior of infilled rock fractures during shear. The proposed equation incorporates the soil-water retention curve parameters as... 

    Modeling and Calibrating the Soil Moisture and Discharge with VIC Model and SMAP Satellite Data, Saghez Station, Zarinehrood River Basin

    , M.Sc. Thesis Sharif University of Technology Karimi Yalmeh, Mohammad Reza (Author) ; Tajrishi, Masoud (Supervisor) ; Jalilvand, Ehsan (Co-Supervisor)
    Abstract
    In this thesis we evaluate VIC hydrological model’s simulated soil moisture and discharge at Saghez synoptic station, located at ZarinehRood sub basin, Urmia Lake basin in three time periods to overcome observational and satellite data scarcity in the basin. All the input files for this macro scale semi-distributed model chose from satellite data. With a multi-objective calibration algorithm called NSGA-II and utilizing Nash-Sutcliffe (NSE) and R2 as objective functions for discharge calibration and correlation coefficient and RMSE for soil calibration, the model results evaluated. As where as we didn’t have access to observational soil moisture data, we utilized SMAP satellite soil moisture... 

    Estimating the drainage rate from surface soil moisture drydowns: application of DfD model to in situ soil moisture data

    , Article Journal of Hydrology ; Volume 565 , 2018 , Pages 489-501 ; 00221694 (ISSN) Jalilvand, E ; Tajrishy, M ; Brocca, L ; Massari, C ; Ghazi Zadeh Hashemi, S ; Ciabatta, L ; Sharif University of Technology
    Abstract
    The large heterogeneity in soil surface conditions makes it impracticable to obtain reliable estimates of soil hydraulic parameters for areas larger than few squared kilometers. However, identifying these parameters on a global scale is essential for many hydrological and climatic applications. In this study, a new approach named Drainage from Drydown (DfD) is proposed to estimate the coefficients of drainage using soil moisture observations. DfD firstly selects multiple drydown events when surface runoff and evapotranspiration rates are negligible compared to the drainage rate. Secondly, by inverting the soil water balance equation, the drainage coefficients are obtained. Synthetic... 

    Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region

    , Article Remote Sensing of Environment ; Volume 231 , 2019 ; 00344257 (ISSN) Jalilvand, E ; Tajrishy, M ; Ghazi Zadeh Hashemi, S. A ; Brocca, L ; Sharif University of Technology
    Elsevier Inc  2019
    Abstract
    Irrigated agriculture is the principal consumer of fresh water resources. Most countries do not have a precise measurement of water consumption for irrigation. In this study, an innovative approach is proposed that allows for estimation of irrigation water use at the catchment scale based on satellite soil moisture data. To this end, the SM2RAIN algorithm, which had been originally developed for estimation of rainfall from the soil moisture observations, is adopted. The satellite soil moisture observations obtained from Advanced Microwave Scanning Radiometer 2 (AMSR2) along with different rainfall and evapotranspiration (ET) products in the period 2012–2015 are used as the input to the... 

    The effect of seasonal variation in precipitation and evapotranspiration on the transient travel time distributions

    , Article Advances in Water Resources ; Volume 142 , 2020 Rahimpour Asenjan, M ; Danesh Yazdi, M ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Precipitation (P), plant water use, and evaporation from the soil surface control the travel time of streamflow (Q) and evapotranspiration (ET) in a complex way. However, the impact of soil moisture and energy availability on the travel time distribution (TTD) of evaporated and transpired waters are yet less understood. In this study, we investigate how the seasonal variability of P and ET in terms of phase shift and rate influences the temporal dynamics of TTDs. To this end, we choose four contrasting climate types described as in-phase P and ET, out-of-phase P and ET, year-round constant P with seasonal ET, and year-round constant ET with seasonal P. We use a physically-based hydrological... 

    Soil Moisture Monitoring in Precision Agriculture Using Estimation Theories

    , Ph.D. Dissertation Sharif University of Technology Pourshamsaei Dargahi, Hossein (Author) ; Nobakhti, Amin (Supervisor)
    Abstract
    Monitoring of soil moisture plays an essential role in correct decision making and implementation of any closed loop control system in precision agriculture. On the one hand, continuous using of a lot of moisture sensors and monitoring of soil moisture via direct measurement is restricted by practical prohibitions. On the grounds that activation of a lot of sensors continuously requires communication of a large amount of information and causes high power consumption for a moisture monitoring system. On the other hand, using remote sensing methods such as satellite methods, for moisture monitoring in arbitrary spatial and time resolution for control purposes, is not practically possible. The... 

    Relationship between Dust Outbreaks and Soil Moisture in the Urmia Lake Periphery

    , M.Sc. Thesis Sharif University of Technology Faturechi, Mohammad Hadi (Author) ; Tajrishi, Masoud (Supervisor)
    Abstract
    Desiccation of different salty lakes around the world has been considered as one of the most critical environmental events. Gradual desiccation of the Lake Urmia and retreatment of its shoreline with respect to ecological level (1274.1 meters) have resulted in new hotspots for dust outbreaks, especially in east and south-east peripheries, which were previously under water. These areas, part of which are salty, are now exposed to open air and susceptible to wind-erosion. Soil moisture, as one of the most important parameters for dust prevention, determines the threshold friction wind speed over playa because it increases the cohesion between soil particles. Therefore, compared with dry soil,... 

    Zoning of Dust Hotspots and Investigation of their Formation Factors

    , M.Sc. Thesis Sharif University of Technology Mohandes Samani, Sara (Author) ; Tajrishy, Massoud (Supervisor)
    Abstract
    Identification of dust storm hotspots using high resolution 1 km MODIS Aerosol Optical Depth (AOD) data obtained by MAIAC algorithm for a region including Iran and its neighbors, is one of the objectives of the present study. By implementing three important statistics on AOD and averaging over the last decade time period (2009-2019), dust sources of Iran, Iraq, Syria, Saudi Arabia, Oman, Afghanistan, and Pakistan were specified. These statistics include frequency of occurrence AOD>0.3, mean and coefficient of variation of aerosol optical depth. The membership rank of source zones in the set of hotspot areas has been obtained by applying the fuzzy logic approach on the three mentioned layers.... 

    Determining the Optimal Irrigation Pattern in Agricultural Areas Using a Combination of Remote Sensing Data and the Development of a Lump Soil Moisture Model

    , M.Sc. Thesis Sharif University of Technology Noori, Amir Hossein (Author) ; Danesh-Yazdi, Mohammad (Supervisor)
    Abstract
    The purpose of this study is to introduce a new indicator to estimate the amount of irrigation water in excess of the need and also to determine the optimal irrigation pattern to reduce water loss in agriculture. According to the Food and Agriculture Organization of the United Nations, the major loss of fresh water takes place in agriculture, and the reduction of water resources is more significant in developing countries that do not have advanced agricultural equipment. One of the challenges in the studies related to reducing the amount of water used in agriculture is a lack of knowledge on the spatial distribution and temporal changes in water loss in a region. Although estimation of... 

    Integration Frameworks for Assimilating Satellite Remote Sensing Observations with Hydrological Model Outputs

    , Ph.D. Dissertation Sharif University of Technology Sadat Soltani, Samira (Author) ; Ataie Ashtiani, Behzad (Supervisor)
    Abstract
    Global climate change and anthropogenic impacts lead to alterations in the water cycle, water resource availability and the frequency and intensity of floods and droughts. As a result, developing effective techniques such as hydrological modeling is essential to monitor and predict water storage changes. However, inaccuracies and uncertainties in different aspects of modeling, due to simplification of meteorological physical processes, data limitations and inaccurate climate forcing data limit the reliability of hydrological models. Assimilation of new observations constrains the dynamics of the model based on uncertainties associated with model and data, which can introduce missing water... 

    The hydro-mechanical behavior of infilled rock joints with fill materials in unsaturated conditions

    , Article Geotechnical Special Publication ; Issue 231 , 3-7 March , 2013 , Pages 129-138 ; 08950563 (ISSN) ; 9780784412787 (ISBN) Khosravi, A ; Khosravi, M ; Meehan, C. L ; Sharif University of Technology
    2013
    Abstract
    The existence, nature, and frequency of discontinuities in a given rock mass typically govern the overall shear behavior of the rock. The presence of fine materials such as clay and silt within rock joints, whether the product of infilling or natural weathering processes, can have a significant effect on the shear behavior of the rock joint. When assessing the strength of filled rock joints, it is therefore necessary to determine the separate strengths of both the rock and the joint infill material, and to also have a good understanding of the interaction between the two for various joint geometries and levels of infilling. Much of the existing research on the shear strength of filled rock... 

    Suction-induced hardening effects on the shear modulus of unsaturated silt

    , Article International Journal of Geomechanics ; Volume 16, Issue 6 , 2016 ; 15323641 (ISSN) Khosravi, A ; Salam, S ; McCartney, J. S ; Dadashi, A ; Sharif University of Technology
    American Society of Civil Engineers (ASCE) 
    Abstract
    The small-strain shear modulus Gmax is a key material parameter in modeling the behavior of soils subjected to dynamic loading. Recent experimental results indicate that seasonal weather interaction with near-surface soils causes Gmax to change by up to an order of magnitude in some climates, with a hysteretic response upon drying and wetting. The increase in Gmax during drying and the stiffer response during subsequent wetting have been postulated to be due to plastic hardening during drying. To further understand this behavior, a series of isotropic compression tests were performed on compacted silt specimens at different values of matric suction to evaluate changes in the preconsolidation...