Hadi Fadaei | JAMSTEC - Academia.edu (original) (raw)

Papers by Hadi Fadaei

سنجش از دور و GIS ایران, Nov 22, 2021

American journal of geographic information system, 2020

In recent years, scholars have witnessed the increasing progress of using unmanned aerial systems... more In recent years, scholars have witnessed the increasing progress of using unmanned aerial systems (UASs) in topographic mapping due to its lower cost compared with alternative systems These UASs enables tree height estimation by capturing overlapped images and generating 3D point cloud through the structure from motion (SfM) algorithm. To ensure that the normalized digital surface model (nDSM) in the mountain areas is created accurately, careful attention to flight patterns and uniform distribution of ground control points (GCPs) are necessary. To this end, a quadcopter equipped with an RGB camera is used for imaging an area of 131 hectares in two steps: firstly, through a single flight strip with an optimized distribution of GCP and secondly through an improvement of the flight configuration. Afterward, two nDSMs were created by the automatic processing of raw images of both approaches. The prominent results demonstrate that the smart integration of key parameters in flight design can bring the root mean square errors (RMSE) down to 52.43 cm without the need to include GCPs. However, using GCPs with an appropriate distribution culminates in RMSE of 33.59 cm, which means 35.93% better performance. This study highlights the impacts of optimal distribution in GCP on nDSM accuracy, as well as the strategy of using images extracted from the combination of two flight strips with different altitudes and high overlap when local GCP is inaccessible, was found to be beneficial for increasing the overall nDSM accuracy.

استفاده از دادههای سنجش ‌از دور یکی از روشهای کاربردی در برآورد مقدار زیتوده گیاهی است. در این... more استفاده از دادههای سنجش ‌از دور یکی از روشهای کاربردی در برآورد مقدار زیتوده گیاهی است. در این پژوهش، دادههای راداری ماهواره آلوس-2، با قطبش کامل و تصویرهای نوری ماهواره سنتینل-2، برای برآورد زیتوده روی زمینی درختان در جنگلهای سری یک حوضه ناو اسالم گیلان استفاده شد. مقدار بازپراکنش در قطبشهای مختلف، خصوصیات بافت و ویژگی‌های تجزیه هدف از تصویرهای راداری و باندهای اصلی و مصنوعی به‌دست‌آمده از تصویرهای نوری در سه ترکیب مختلف شامل تصویرهای راداری، تصویرهای نوری و ترکیب تصویرهای راداری و نوری، به‌عنوان ورودیهای مدل شبکه عصبی مصنوعی و رگرسیون خطی چندگانه درنظر گرفته شدند. بهمنظور اندازهگیری زمینی زیتوده از 149 قطعه‌نمونه استفاده شد. ارزیابی شبکههای عصبی و رگرسیون خطی چندگانه با استفاده از آمارههای R 2 و RMSE نشان داد که در تمامی حالت‌ها مدل شبکههای عصبی نسبت به رگرسیون خطی کارایی بهتری در برآورد زی‌توده روی زمینی درختان داشت. نتایج بهترین شبکه عصبی نشان داد که ترکیب داده‌های نوری و راداری با مقدار R 2 و RMSE به‌ترتیب 86/0 و 62/31 مگاگرم در هکتار (34/15 درصد) می‌تواند زیتوده...

iForest - Biogeosciences and Forestry, 2021

Biogeosciences and Forestry Biogeosciences and Forestry Estimation of forest leaf area index usin... more Biogeosciences and Forestry Biogeosciences and Forestry Estimation of forest leaf area index using satellite multispectral and synthetic aperture radar data in Iran Sasan Vafaei (1) , Omid Fathizadeh (2) , Nicola Puletti (3) , Hadi Fadaei (4) , Sabri Baqer Rasooli (5) , Gaia Vaglio Laurin (3-6) Different satellite datasets, including multispectral Sentinel 2 and synthetic aperture radar Sentinel 1 and ALOS2, were tested to estimate the Leaf Area Index (LAI) in the Zagros forests, Ilam province, in Iran. Field data were collected in 61 sample plots by hemispherical photographs, to train and validate the LAI estimation models. Different satellite data combinations were used as input in regression models built with the following algorithms: Multiple Linear Regression, Random Forests, and Partial Least Square Regression. The results indicate that Leaf Area Index can be best estimated using integrated ALOS2 and Sentinel 2 data; these inputs generated the model with higher accuracy (R 2 = 0.84). The combination of a single band and a vegetation index from Sentinel 2 also led to successful results (R 2 = 0.81). Lower accuracy was obtained when using only ALOS 2 (R 2 = 0.72), but this dataset is helpful where cloud coverage affects optical data. Sentinel 1 data was not useful for LAI prediction. The optimal model was based on the traditional Multiple Linear Regression algorithm, using a preliminary input selection step to exclude multicollinearity effects. To avoid this step, the use of Partial Least Square Regression may be an alternative, as this algorithm was able to produce estimates similar to those obtained with the best model.

International Journal of Critical Illness and Injury Science, 2021

Background: Motorcyclists are one of the most vulnerable groups in road accidents. This study aim... more Background: Motorcyclists are one of the most vulnerable groups in road accidents. This study aimed to investigate the effective measures to reduce injuries and deaths in the most vulnerable road users' motorcyclists in 2020. Methods: The study was a cross-sectional study. In this study, 147 motorcycles were randomly selected from the list of all motor courier units in Tehran, which was prepared through an internet search. The required information was collected through questionnaires and interviews. The inclusion criteria had a minimum high school education and an age range of 18–65 years. The trained questioners referred to the selected courier offices and after obtaining consent to participate in the study, project questionnaire were completed. Results: The mean age of subjects was 31.4 ± 8.0 years. All subjects were male. The purpose of the trip was going to work (84.4%). The highest percentage of leaving home time (94.6%) was observed in the morning. More than half of the subjects had a history of accidents (54.5%), and also more than half of the subjects (54.0%) had a history of an accident in their 2nd degree relatives' families. Forth-fifths of the studied motorcyclist (89.5%) wore helmets. Nearly half of the subjects (48.3%) always fastened their helmets strap. The highest action (72.0%) was suggested to separate the motorcycle lanes. Conclusion: In the viewpoint of the motorcyclist, separating the motorcycle lines could be one of the most effective measurements to injury reduction. Hence, officials and planners need to pay more attention to the logical demands of motorcyclists.

The order Rodentia is the largest among other groups of mammals in terms of the number of species... more The order Rodentia is the largest among other groups of mammals in terms of the number of species and number of individuals and is widely seen in different types of habitats. Various factors affect the spatial distribution of these animals. In this study, according to the same conditions in the two areas in terms of topography, soil, and the vegetation type, the distribution of rodent nests in the enclosed and non-enclosed regions of woody pasture in the pistachio forest pasture of Khajeh Kalat in Khorasan Razavi province of Iran has been studied. For this purpose, sample plots with the variable region that had at least 15 trees were used. Inside of each sample plot and under the crown of any tree, rodent nests were identified and counted. Finally, the data obtained from the total sample plots have been analyzed. The results showed that the number of rodent nests in the two regions was significantly at 99% confidence level related to each other, as well as in elevation, slope and as...

Journal of Forestry Research, 2018

Juniperus excelsa subsp. polycarpos, (Persian juniper), is found in northeast Iran. In this study... more Juniperus excelsa subsp. polycarpos, (Persian juniper), is found in northeast Iran. In this study, the relationship between ground cover and vegetation indices have been investigated using remote sensing data for a Persian juniper forest. Multispectral data were analyzed based on the Advanced Visible and Near Infrared Radiometer type 2 and panchromatic data obtained by the Panchromatic Remote-sensing Instrument for Stereo Mapping sensors, both on board the advanced land observing satellite (ALOS). The ground cover was calculated using field survey data from 25 sub-sample plots and the vegetation indices were derived with 5 9 5 maximum filtering algorithm from ALOS data. R 2 values were calculated for the normalized difference vegetation index (NDVI) and various soil-adjusted vegetation indices (SAVI) with soilbrightness-dependent correction factors equal to 1 and 0.5, a modified SAVI (MSAVI) and an optimized SAVI (OSAVI). R 2 values for the NDVI, MSAVI, OSAVI, SAVI (1), and SAVI (0.5) were 0.566, 0.545, 0.619, 0.603, and 0.607, respectively. Total ratio vegetation index for arid and semi-arid regions based on spectral wavelengths of ALOS data with an R 2 value 0.633 was considered. Results of the current study will be useful for forest inventories in arid and semi-arid regions in addition to assisting decisionmaking for natural resource managers. Keywords Ground cover Á Juniperus excelsa subsp. polycarpos Á Vegetation indices Á Advanced land observing satellite (ALOS)

Remote Sensing, 2018

The main objective of this research is to investigate the potential combination of Sentinel-2A an... more The main objective of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite-2 Phased Array type L-band Synthetic Aperture Radar-2) imagery for improving the accuracy of the Aboveground Biomass (AGB) measurement. According to the current literature, this kind of investigation has rarely been conducted. The Hyrcanian forest area (Iran) is selected as the case study. For this purpose, a total of 149 sample plots for the study area were documented through fieldwork. Using the imagery, three datasets were generated including the Sentinel-2A dataset, the ALOS-2 PALSAR-2 dataset, and the combination of the Sentinel-2A dataset and the ALOS-2 PALSAR-2 dataset (Sentinel-ALOS). Because the accuracy of the AGB estimation is dependent on the method used, in this research, four machine learning techniques were selected and compared, namely Random Forests (RF), Support Vector Regression (SVR), Multi-Layer Perceptron Neural Networks (MPL Neural Nets), and Gaussian Processes (GP). The performance of these AGB models was assessed using the coefficient of determination (R 2), the root-mean-square error (RMSE), and the mean absolute error (MAE). The results showed that the AGB models derived from the combination of the Sentinel-2A and the ALOS-2 PALSAR-2 data had the highest accuracy, followed by models using the Sentinel-2A dataset and the ALOS-2 PALSAR-2 dataset. Among the four machine learning models, the

Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV, 2012

ABSTRACT Arid and semi-arid areas of northeast Iran cover about 3.4 million ha are populated by t... more ABSTRACT Arid and semi-arid areas of northeast Iran cover about 3.4 million ha are populated by two main tree species, the broadleaf Pistacia vera. L (pistachio) and the conifer Juniperus excelsa ssp. polycarpos (Persian juniper). Natural stands of pistachio in Iran are not only environmentally important but genetically essential as seed sources for pistachio production in orchards. In this study, we estimated the optimum spectral reflectance of juniper forests and natural pistachio stands using remote sensing to help in the sustainable management and production of pistachio in Iran. In this research spectral reflectance are able to specify of multispectral from Advanced Land Observing Satellite (ALOS) that provided by JAXA. These data included PRISM is a panchromatic radiometer with a 2.5 m spatial resolution at nadir, has one band with a wavelength of 0.52-0.77 μm and AVNIR-2 is a visible and near infrared radiometer for observing land and coastal zones with a 10 m spatial resolution at nadir, has four multispectral bands: blue (0.42-0.50 μm), green (0.52-0.60 μm), red (0.61-0.69 μm), and near infrared (0.76-0.89 μm). Total ratio vegetation index (TRVI) of optimum spectral reflectance of juniper and pistachio have been evaluated. The result of TRVI for Pistachio and juniper were (R2= 0.71 and 0.55). I hope this research can provide decision of managers to helping sustainable management for arid and semi-arid regions in Iran.

در سطح شهر تهران شناسایی جزایر گرمایی که در اثر روند گسترش شهرنشینی ایجاد شده‌اند و تأثیر آن‌ها ب... more در سطح شهر تهران شناسایی جزایر گرمایی که در اثر روند گسترش شهرنشینی ایجاد شده‌اند و تأثیر آن‌ها بر آلودگی هوا، دارای احتمال می‌باشد. لذا در این پژوهش به ارتباط بازتاب طیفی پدیده‌های تأثیر‌گذار بر روند گسترش پدیده جزایر گرمایی در سطح شهر تهران و حومه پرداخته شده است. تصاویر ماهواره لندست 8 شهر تهران در دو تاریخ 16- آذر- 1396 و تاریخ 16- مرداد- 1396 اخذ و پیش‌پردازش‌های اولیه از قبیل تصحیحات هندسی و رادیومتریک و اتمسفریک انجام گرفت و بعد از پیش‌پردازش‌های اولیه از باندهای 9 و 10 که باندهای حرارتی این ماهواره می‌باشند درجه حرارت زمین (LST) استخراج گردید. سپس از باندهای طیفی این ماهواره شاخص پوشش گیاهی نرمال شده (NDVI) برای سطح زمین محاسبه شد. بعد از آن، بازتاب طیفی تمام پدیده‌های زمینی تأثیر‌گذار از روی تصاویر استخراج شد و ارتباط آن با آلودگی و درجه حرارت سطح زمین به‌دست آمد. شاخص پوشش گیاهی نرمال (NDVI) نشان داد که شاخص پوشش گیاهی در مناطق مختلف شهری در محدوده فضای سبز، محدوده اتوبان (آسفالت)، محدوده مسکونی (ساختمان)، پوشش سبزینگی کم، محدوده سایه‌، محدوده ابر و محدوده مختلط زمین لخت ...

Determining of proper inventory method is very important in arid and semi arid region. Hence, tra... more Determining of proper inventory method is very important in arid and semi arid region. Hence, transect-plot inventory method was proposed for Gharah-Ghermez Juniperus forest with an area about 1234 ha locates in 75 km of Chenaran city north. These forests belong to arid and semi arid floristic regions. This method integrates sampling with transect and permanent plots. According to the results, these forests are coppice with standard and Juniperus, Berberis, Crataegus, and other species constitute 93, 5, 1.6 and 0.4 percent of species composition. These forests are not enclosure and they have highly grazed. Regeneration situations are not satisfactory and most of the trees have been attacked by pests and diseases, So that 92% of Juniper trees have been attacked by Juniperus Wasp larvae. Based on forest vegetation map, 424, 561 and 299 ha of forest area have dense canopy cover (5-10%), spare canopy cover (1-5%) and without canopy cover, respectively. The percentage of crown coverage in Juniper forests is 3.02% and its density is 43.5 individual per ha. Also tree density for Junipers, Berberis, Crataegus and other species are as follows; 40.5, 2.2, 0.7, 0.1, respectively. These forests were studied in forestry and silviculture points of view. Due to conservation and environmental aspects of these forests, they deserve to be planned for development and area extension. Directing traditional husbandry to industrial one, we can help husbandry and forest sustainability continue for future.

The pistachio (Pistacia.vera) belongs to the Anacardiaceae family. Plants of this family are tree... more The pistachio (Pistacia.vera) belongs to the Anacardiaceae family. Plants of this family are trees or shrubs (broadleaf) and in total comprising 75 genera and 600 species. This species is found in arid and semi-arid regions, located in the northeast of Iran. Many algorithms have been investigated for tree delineation and identification, in order to assist human operators in the information exploitation of data. Objects of and questions posed by this study are; identification and delineation of the pistachio's tree crown, distinguishing between pistachio trees and other vegetation cover, estimation of tree density by counting trees per hectare, estimation of vegetation indices and the analyses of image segmentation, classification, texture and comparison with numbers of pistachio trees based on ground control data. ALOS satellite data have been used, using multispectral band (AVNIR-2) with 10-meter resolution and Panchromatic band (PRISM) with 2.5-meter resolution. In this paper,...

Journal of Rangeland Science, 2018

Persian juniper and Pistachio are grown in low density in the rangelands of North-East of Iran. T... more Persian juniper and Pistachio are grown in low density in the rangelands of North-East of Iran. These rangelands are populated by evergreen conifers, which are widespread and present at low-density and sparse shrub of pistachio in Iran, that are not only environmentally but also genetically essential as seed sources for pistachio improvement in orchards. Rangelands offer excellent opportunities for remote-sensing-based inventories; detection of each shrub using very high-resolution satellite data is typically easier in sparse rangelands where the distance between shrubs exceeds the height of trees. In this study, the densities of juniper and natural pistachio shrubs were estimated using remote sensing to help the sustainable management and production of pistachio in this rangeland. Satellite imagery was acquired in July 2008 by Advanced Land Observing Satellite (ALOS). A vegetation index including Total Ratio Vegetation Index (TRVI) was introduced for these rangelands with sparse sh...