Aliakbar Matkan

• Professor
• Shahid Beheshti University

کتاب حاضر در ده فصل تنظیم شده است. پس از ارائۀ مقدمه¬ای دربارۀ سنجش از دور ماکروویو همراه با مزیت‌ها و کاربردهای آن در فصل اول، در فصل¬های دوم و سوم، اصول تصویربرداری رادار و نحوۀ تشکیل تصاویر آن شرح داده می¬شود. در فصل چهارم معادلۀ رادار و پارامتر¬های سیستمی مؤثر بر تشکیل تصویر رادار بیان می¬شود؛ بدین‌ترتیب که ابتدا معادلۀ رادار ارائه و پارامترها...

Given the importance of accuracy in land cover (LC) maps, several methods have been adopted to predict per-pixel land cover accuracy (PLCA) of classified remote sensing images. Such a PLCA map provides spatially-explicit accuracy information and is of paramount importance for both producers and end-users of LC maps to thoroughly understand the spat...

Urban Heat Island (UHI) is a major challenge in urban environments that affects human activities. This phenomenon is caused and changed by various factors in urban environments, in which identification of such parameters requires fine-scale satellite images. This study, therefore, aimed at investigating spatiotemporal changes of UHIs as well as ide...

Inputs of most hydrological models require long-term and simultaneous precipitation information spatially and temporally in rain gauge stations due to the lack of established rain gauge stations in Iran and deficiencies in rainfall statistics. Access to long-term rainfall statistics in many areas of the country has been accompanied by limited restr...

LIDAR (Light Detection and Ranging) is a laser altimeter system that determines the distance by measuring pulse travel time. The data from the LIDAR systems provide unique information on the vertical structure of land covers. Compared to ground-based and airborne LIDARs providing a high-resolution digital surface model, space-borne LIDARs can provi...

Different techniques utilized for mapping various crops are mainly based on using training dataset. But, due to difficulties of access to a well-represented training data, development of automatic methods for detection of crops is an important need which has not been considered as it deserves. Therefore, main objective of present study was to propo...

It is believed that climate change will cause the extinction of many species in the near future. In this study, we assessed the impact of climate change on the climatic suitability of the Persian oak in Zagros forests in southwest Iran, by simulating their conditions under four climate change scenarios in the 2030s, 2050s, 2070s and 2080s. Addition...

Remote sensing (RS) data have been utilized increasingly for mapping various crops at local and regional scales using various techniques. However, training data collection of these methods is costly and time consuming. On the other hand, time series of RS data have provided valuable information about crop phenological patterns, which can be utilize...

This paper presents a new algorithm based on the support vector machine (SVM) for classifying the Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations (CALIPSO) data into classes of clean air, cloud, thin aerosol, dense aerosol, surface, subsurface and totally attenuated. The procedure is as follows: At first, the considered features base...

Large-scale assessment of the amount of different air pollutants is routinely conducted using satellite images. This information is not useful in urban areas where more precise information is needed. In this work, a model called quantitative assessment of different air pollutants (QADAP) was prepared. The ability of QADAP is to produce images quant...

Drought is a recurrent phenomenon in different climates. The occurrence of this phenomenon is not limited solely to the arid and semi-arid climates, but also occurs in climates humid and very wet. In this study, using data from annual precipitation 31 stations in the period (2015-1986), After complete homogeneity and process data deficiencies , the...

Studying bird habitats, particularly, those of endangered birds, facilitates effective conservation efforts. The concept of a probabilistic space-time prism (PSTP), which has been introduced in GIScience circle in recent years, can be used to explore bird habitat selection behaviors. The theoretical methods behind the PSTP approach are based on the...

Geomorphic indices are useful tools for studying relative active tectonics of a specific area. In this study, the relative active tectonics of Bozgoush region (NW of Iran) has been investigated based on Geomorphic indices. The studied indexes include: the stream length-gradient (SL), hypsometric integral (Hi), the ratio of valley floor width to val...

The complex impacts of disease stages and disease symptoms on spectral characteristics of the plants lead to limitation in disease severity detection using the spectral vegetation indices (SVIs). Although machine learning techniques have been utilized for vegetation parameters estimation and disease detection, the effects of disease symptoms on the...

Spectral data have been widely used to estimate the disease severity (DS) levels of different plants. However, such data have not been evaluated to estimate the disease stages of the plant. This study aimed at developing a spectral disease index (SDI) that is able to identify the stages of wheat leaf rust disease at various DS levels. To meet the a...

Land use planners and drainage engineers require, among other information, a clear map that delineates land subject to flash flooding before they can approve residential development. Through the application of spatially distributed models, the topographic wetness index (TWI) can be determined as an alternative to the traditional approach of delinea...

Zagros oak forest is one of the invaluable resources of Iran which have been encountered with a dramatic decline in their spatial range, recently. Since climate change has been identified as one of its main reasons, predicting the potential impact of climate change on spatial distribution of these forests is essential for effective management and p...

ABSTRACT Saudi Arabian subtropical high pressure is a major system affecting general circulation of the atmosphere of west Asia. Its annual relocation affects the relocation of other systems in the area, such as Mediterranean cyclones, Sudanese low pressure areas, and west wind waves. This system is known to relocate to the south and north in respo...

Marine oil spills are detectable using synthetic aperture radar (SAR) sensors because of the effect of oil dampening on short gravity and capillary waves. In this paper, the potential of fully polarimetric SAR data for detecting oil spills is investigated using polarimetric decompositions based on a support vector machine (SVM) classifier. First, d...

Introduction Identification and analysis of time-series behavior of the climatic elements and processes upon them are the basic factors of climatology science and has an important role in management and environmental planning. In general, the behavior of climatic elements are observed in 3 form: Trend, Oscillation and Fluctuation. These behaviors w...

Real cost evaluation of water is necessary in agricultural products depending on obtained value by this input. In most areas of world especially in arid and semiarid areas, exist over pumping of ground water because the real value of water is much most than the costs of water supply and the lack of fit management water resources. In this study, usi...

It is difficult to account for urban drainage networks when modelling overland water flow in an urban setting using conventional GIS software. This paper presents a GIS-based method for incorporating subsurface drainage flow through conventional drainage networks into overland flow paths. Planners and engineers in local government can use our flow...

Today, aerial laser scanners (LiDAR) have an important role in 3D data acquisition from features. Bare earth information is very important in deferent applications such as DTM extraction, determination of traversable area, etc. Up to now, a lot of algorithms have been developed to automated filtering of LiDAR data. The weakness of most of these alg...

The spatial nature of crash data highlights the importance of employing Geographical Information Systems (GIS) in different fields of safety research. Recently, numerous studies have been carried out in safety analysis to investigate the relationships between crashes and related factors. Trip generation as a function of land use, socio-economic, an...

This paper presents a method for road extraction from lidar data based on SVM classification. The lidar data are used exclusively to evaluate the potential in the road extraction process. First, the SVM algorithm is used to classify the lidar data into five classes: road, tree, building, grassland, and cement. Then, some misclassified pixels in the...

Light Detection And Ranging is now being widely used to provide accurate digital elevation model (DEM). One common method used to determine the accuracy of LiDAR - Light Detection And Ranging - vertical accuracy is compared LiDAR-derived DEM elevation with survey-derived ground control points (GCPs). However, because the DEM elevations are generali...

In this paper, the potential of fully polarimetric L-band SAR data for detecting sea oil spills is investigated using polarimetric decompositions and texture analysis based on SVM classifier. First, power and magnitude measurements of HH and VV polarization modes and, Pauli, Freeman and Krogager decompositions are computed and applied in SVM classi...

Land subsidence, due to natural or anthropogenic processes, causes significant costs in both economic and structural aspects. That part of subsidence observed most is the result of human activities, which relates to underground exploitation. Since the gradual surface deformation is a consequence of hydrocarbon reservoirs extraction, the process of...

Reducing the number and severity of crashes has been a primary concern of safety specialists. Identifying the crash patterns is an essential step in safety management since clustering of crash data helps the analysts to prioritize the safety improvements to such areas. The spatial essence of crash data particularly the presence of spatial autocorre...

The spatial nature of crash data highlights the importance of employing Geographical Information Systems (GIS) in different fields of safety research. Recently, numerous studies have been carried out in safety analysis to investigate the relationships between crashes and related factors. Trip generation as a function of land use, socio-economic, an...

In this research, we evaluated three classifiers for crop identification in multi-temporal images, in northwest of Iran. These classifiers are maximum likelihood, support vector machine and random forest (the two latter are machine learning classifiers). Our data consist of a two-date SPOT5 image for early spring and mid-summer. There are 7 crops c...

Optical remote sensing provides information on important vegetation variables such as leaf area index (LAI), biomass, and chlorophyll content. In this study, rice crops, which are rarely studied, were selected because of their high economic importance and the role they play in food security in the study area. The aim was to obtain a reliable estima...

Road information has a key role in many applications such as transportation, automatic navigation, traffic management, crisis management, and also to facilitate and accelerate updating databases in a GIS. Therefore in the past two decades, automatic road extraction has become an important issue in remote sensing, photogrammetry and computer vision....

The necessity of awareness of water resources conditions in different watersheds for executing the water plans on the one hand and the absence of reliable network of gauging stations measuring the meteorological parameters on the other hand relieve how essential taking advantage of the indirect methods for simulating and evaluating the run-off flow...

Land-use planning is a branch of science which determines the optimal use of land based on the ecologic properties and socio-economic conditions. In most parts of the country, deciding on the land-use and its management has been done with no attention paid to the land’s capabilities which has led to wasting investments and environmental capacities....

Developments in the field of hyperspectral remote sensing have provided the possibility of having new indices for estimation of vegetation biochemical and biophysical properties. Information about vegetation water content and water stress has widespread utility in agriculture, forestry and hydrology and support management of the natural resources....

Land subsidence is one of the most hazardous phenomena because its gradual occurrence due to compaction of natural deposits is so excessive. Human activities like hydrocarbon fluid withdrawal can also cause local subsidence and damage industrial structures. Traditional ground surveying can detect the change amount, but the limitations of benchmarks...

Land subsidence is one of the most hazardous phenomena because its gradual occurrence due to compaction of natural deposits is so excessive. Human activities like hydrocarbon fluid withdrawal can also cause local subsidence and damage industrial structures. Traditional ground surveying can detect the change amount, but the limitations of benchmarks...

Fraction of vegetation (Fv) plays an important role in ecosystems. Estimation of Fv is essential for drought monitoring, natural resources studies, estimation of soil erosion volume etc. The aim of this study is to estimate Fv in an arid area in Iran using ALOS Imagery (June 2008). In order to find the best index for estimation of Fv, Seventeen veg...

Neotectonics is a major factor controlling landform development in tectonically active regions, and it has significantly affected fluvial systems and mountain-front landscapes in the Sarvestan area of the central Zagros, Iran. The area is located along the simply folded belt of the Zagros, and is an outcome of the SW–NE oriented tectonic conversion...

Rainfall is the most variable atmospheric factor that its amount varies depending on the geographic location and the general atmospheric condition of the region. In other words, this atmospheric factor involves a lot of spatial and temporal variations. Spatial statistical algorithms are used widely for both the exploration and mapping of environmen...

Rainfall, soil moisture, increasing temperature and changes in vegetation cover are the most important parameters effecting drought. Therefore, analysis of vegetation fraction and soil spectral signature, especially in red and infra red bands, are essential in drought estimation using remote sensing. In this study, Modified Perpendicular Drought In...

Rainy clouds having high densities are considered as one of the main causes of flood events, therefore detection and classification of clouds can be very valuable for flood forecasting. In this study NOAA/AVHRR satellite images were used for object oriented classification. Sixteen bands were produced and utilized for cloud classification. This incl...

In this study, we have analyzed how to update large scale maps with the help of IKONOS images. To do this, a complete frame IKONOS image from aerial photos (1:5000 scale) and 1:2000 scale digital maps of the city of Urumia have been used as test data. Here, our objective is to exploit the spatial precision of a pan-chromatic band, the spectral rich...

In this research, extracting wheat under cultivatio n in the northern suburbs of Hamedan province is observed. This area is recognized as one of the imp ortant poles of wheat production in Iran. To appoin t an appropriate time and acquisition satellite data, it 's used the agricultural basis studies and cultivat ion calendar of different crops, and...

The aim of this research Evaluating and prioritizing areas Based on parameters creative city of Sanandaj. Type of research is Practical and method used in this study is Analytical-descriptive. For analysis of data was used from the model of network analysis, TOPSIS, multivariate regression analysis questionnaire.Statistical.The statistical populati...

Monitoring snow cover changes are important to water resource researches because it supplys electricity and freshwater. Although operational snow cover mapping by optical sensors has been used for more than 4 decades in the world but In Iran, traditional data collection methods are still common. Using these methods have lot of problems. Usualy the...

In order to extract the wheat the bi-temporal Spot images were ordered based on cultivation calendar of wheat and other crops. As the crops reflection properties showed many variations, for precise classification many signatures are needed. Appropriate bands for classification were selected by divergence algorithm. These bands converted to IHS and...

This paper reports the results of an initial investigation of the potential for remote sensing application with special reference to passive microwave satellite imagery. It is based on SSM/I data. The study area is of the whole of Iran, with one or two satellite passes being used per day. For the purpose of identifying snow from variable surface co...

Human activities, rapid urbanization and incorrect utilization of land in river catchment's district in recent years have served to be responsible for higher runoff and deteriorated river capacity problems. This could be resulted in increased flood frequency and magnitude. Structural procedures versus flood damages like dams and dikes can be effect...

Remote-sensing and Geographic Information System (GIS) techniques have been utilized in this study to establish a GIS database for Madarsoo watershed in Golestan Province. Among the major constituents of this database we can refer to are: composite multicolor images from LANDSAT TM (30 m resolution); Indian IRS 1C/1D (23.5 and 5.8 m resolution) and...

In Iran, the monitoring of snow cover pattern and related parameters (e.g snow depth, snow water equivalent and snow melt) are traditionally based on the ground collection at the local scale. This process is both time consuming and expensive.On the other hand, due to the problems caused by inaccessible environmental conditions and irregularly-distr...

The assessment of groundwater vulnerability to nitrate pollution has been done through modifying weights of DRASTIC parameters using simple statistical methods in Hamedan-Bahar plain, west of Iran. The weights of parameters assigned based on Analytical Hierarchy Process (AHP) under a Geographical Information System (GIS) environment. In addition to...

High spatial resolution sensor's data, such as IRS images, are used to derive land cover information from local to regional scales. However, so far such data have not been provided in an appropriate temporal resolution. MODIS provides data in 36 bands nearly every day. But it has different spatial resolutions of 250, 500 and 1000 meters, which migh...

Since the rainy clouds with high density are the main cause of flood event, detection and classification of clouds can be very effective for flood forecasting. In general, the most effective method for identifying individual cloud types is to obtain a VIS and an IR image of the same scene. The VIS image can be used to identify cloud shapes, texture...

Distributed hydrological models of sediment and runoff estimation for simulating the sediment- runoff-precipitation processes in watershed surfaces require digital maps and some other information of the basin's elevation. For example, the correct execution of erosion models which, according to the RULSE method, work in a distributed environment gre...

Monitoring snow cover changes are important to water resource researches because it supplies electricity and freshwater. Although operational snow cover mapping by optical sensors has been used for more than 4 decades in the world but In Iran, traditional data collection methods are still common. Using these methods have a lot of problems. Usually...

Regarding the importance of water sources in Iran, it is necessary to protect better water bodies such as reservoirs. The most efficient way of conserving water sources is to apply proper management to decrease erosion and sedimentation. The first step of this process is to be aware of sediment yield and identify erosion hazard areas in upper reach...

One of the most pressing questions in the current debate about global climate change is what will happen to organic carbon sequestered in organic matter in soils if global warming occurs. This paper aims to study the potential effect of changes in temperature and precipitation on organic carbon sequestered in global soils. Interpolated data from a...

Canopy chlorophyll content provide vital information about exchanging of energy between vegetation and surrounding environment. This study proposed a method to extract canopy chlorophyll content of rice in northern part of Iran form multispectral sensor AVNIR-2 on board ALOS satellite. A field campaign was carried out in June 2010 and several bioph...

Although snow is one of the most important parameters in hydrological and climatological studies in Iran, and as an indicator of climate change, the sparse network of ground observing stations and the common problems caused by severe environment make it difficult to monitor. A new passive microwave satellite algorithm based on single channel (V37 G...

Thesis (Ph. D.)--University of Bristol, 1999.