Falah Fakhri

Falah Fakhri
Independent researcher

PhD Optical and Radar Remote sensing
Remote Sensing | GIS | Earth Science | Spatial Data Analytics | Machine Learning | python |

About

20
Publications
19,154
Reads
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43
Citations
Introduction
I'm looking for an opportunity of projects workteam, or a post doc. position, in order to share my deep experience with the others, in the same time learn and add to my knowledge from you. Who am I? Dr. Falah Fakhri, is specialized in Remote sensing and SAR Interferometry.
Additional affiliations
January 2016 - March 2016
University of Helsinki
Position
  • Visitor Researcher
November 2013 - present
University of Turku
Position
  • PostDoc Position
March 2010 - September 2012
Harokopio University
Position
  • Laboratory Assistant
Description
  • I have worked as assistant to my supervisor Dr. Issaak Parcharidis for laboratory teaching of Remote sensing and Advanced Remote sensing subjects.
Education
September 2009 - July 2013
Harokopion University of Athens, Department of Geography
Field of study
  • SAR Interferometry
September 1998 - January 2002
University of Baghdad,Department of Soil and water Science
Field of study
  • Remote sensing and soil survey
September 1994 - July 1998
University of Baghdad, College of Agriculture,
Field of study
  • Department of Soil and water Science

Publications

Publications (20)
Article
Full-text available
The study which was held, depended on number of parameters expressed of land’s features to establish a system of Land Pasture Classification, and values were limited of these used parameters which land at this stage or after began to suffer from problems. The used parameters were put in two group, first one is main limiters includes some feature ca...
Conference Paper
Full-text available
The aim of this study is dealing with the use of Persistent Scatterers Interferometry (PSI) technique to detect soil deformation. The main idea is to find out point candidates in the agricultural fields in the northern part of Larissa having the properties that PSI technique uses. The soil properties have been classified into five orders. Inside ea...
Article
The city of Mosul located approximately 400 km North of Baghdad was captured by the Islamic State during the period 04th – 06th of June in 2014. The impact of conflict had devastated results on buildings and the infrastructure of the city. Remote sensing technology has proven an extremely useful tool for monitoring changes. In this study, a combin...
Article
Full-text available
Approximately one million refugees of the Rohingya minority population in Myanmar crossed the border to Bangladesh on 25 August 2017, seeking shelter from systematic oppression and persecution. This led to a dramatic expansion of the Kutupalong refugee camp within a couple of months and a decrease of vegetation in the surrounding forests. As many h...
Conference Paper
Full-text available
Ground deformation occurs even in geologically stabile areas for reasons such as the swelling and shrinking of clay minerals or frost activity. Such changes can be considered potentially important geo-hazards when they pose threat to the stability of important infrastructures like roads, bridges, buildings and apartments. An interesting spatial set...
Conference Paper
Full-text available
The possibility of use the productions of Earth Resource Satellite (ERS-1/2) and Advanced 2 Environment Satellite ENVISAT SAR (Synthetic Aperture Radar) C-band have given the potential to 3 detect and estimate the time series of dynamic ground deformation within high spatial and temporal 4 resolution. Additionally assess the details scale ground de...
Conference Paper
Full-text available
Coherence has become a valuable and common indicator of interpolating and manipulating many processes and studies of SAR Interferometry (InSAR). Land use and land cover varieties are considered the main vital influences and controllers of the coherence conduct. Nine interferometrics coherences are here generated and compared according to the differ...
Article
Full-text available
The settlement of Larissa in the eastern part of Central Greece suffers from continued land deformation as evidenced by ground fissures, sinkholes and subsidence. We used three different interferometric synthetic aperture radar (InSAR) techniques to monitor ground deformation dynamics in the study area. Spatial patterns of short-term changes (35 da...
Article
Full-text available
The possibility of use the productions of Earth Resource Satellite (ERS-1/2) and Advanced Environment Satellite ENVISAT SAR (Synthetic Aperture Radar) C-band have given the potential to detect and estimate the time series of dynamic ground deformation within high spatial and temporal resolution. The Larissa National Airport is suffering from contin...
Data
The aim of this study is to estimate the ground deformation over the NATO airport of Larissa in Thessaly prefecture in Central Greece, for the time period between 1992 and 2010. Dataset, including a total of 24 images C band SLC (Single Look complex) SAR images, acquired from European Space Agency (ESA).Between 1995 and 2008 of ERS-1/-2 along Ascen...
Conference Paper
Full-text available
The town of Larissa is the capital of Thessaly and is located in the eastern part of Central Greece. According to the historical seismicity, this settlement is characterized as having medium to high seismicity due to the fact that the last earthquake with high magnitude (Ms = 6.1) occurred in 1941. Furthermore three normal active faults cross the s...
Thesis
Full-text available
This research study is conducted in the eastern part of northern Thessaly, which is located in the middle of Greece and has a total area of 3113.834 km2. This study area suffers from natural and human hazards which have gradual and rapid impacts and which as a consequence threaten the stability of civil infrastructure and moreover agricultural proj...
Conference Paper
Full-text available
The aim of this study is to estimate the ground deformation over the settlements (cities and villages) of Thessaly prefecture in Central Greece, for the time period between 1995 and 2008. Detect the role of surficial lithology on ground deformation. Dataset, including a total of 24 images C band SLC (Single Look complex) SAR, acquired from European...
Data
The aim of this study is to estimate the ground deformation over the NATO airport of Larissa in Thessaly prefecture in Central Greece, for the time period between 1992 and 2010. Dataset, including a total of 24 images C band SLC (Single Look complex) SAR images, acquired from European Space Agency (ESA).Between 1995 and 2008 of ERS-1/-2 along Ascen...
Data
The aim of this study is to estimate the ground deformation over the NATO airport of Larissa in Thessaly prefecture in Central Greece, for the time period between 1992 and 2010. Dataset, including a total of 24 images C band SLC (Single Look complex) SAR images, acquired from European Space Agency (ESA).Between 1995 and 2008 of ERS-1/-2 along Ascen...
Data
The aim of this study is to estimate the ground deformation over the NATO airport of Larissa in Thessaly prefecture in Central Greece, for the time period between 1992 and 2010. Dataset, including a total of 24 images C band SLC (Single Look complex) SAR images, acquired from European Space Agency (ESA).Between 1995 and 2008 of ERS-1/-2 along Ascen...
Conference Paper
Full-text available
The last 18 years, Differential Synthetic Aperture Radar Interferometry (DInSAR) has became a very powerful tool for monitoring ground deformation phenomena, such as landslides, earthquakes, volcanoes, glaciers, etc. This research is focused on the studying of ground deformation by using (DinSAR) technique, which is an important tool for monitoring...
Conference Paper
Full-text available
A field - laboratory study was carried out to compare the benifit of using or converting digital numbers to spectral radiance and spectral reflectance, furthermore their relationship with the ground features, calcium carbonate was selected as one of the ground features, firstly for its importance and furthermore its widespread in the study area AL-...
Conference Paper
Full-text available
In accordance with the semi detailed soil survey of AL - Baghdadi soil project, which is situated in AL-Anbar province, western part of Iraq. Seven soil units were determined. Pedons were excavated for each detected soil unit, as well as soil sampling is implemented for executing lab analyses. Soils were classified to the sub-group according to the...
Thesis
Full-text available
This study was carried out in Baghdadi Agricultural project – Al-Anbar Governerate, which its (project) total area (9869.6) hectare, This study was carried out in order to show the advantage of the available sensing techniques in shortening the field business for soil survey in different degrees. Moreover, it is to forecast the content of the Gypsu...

Questions

Questions (16)
Question
Landsat 8-9, and also Sentinel2 don't cover the whole a study area within same date of the day, that's why in order to monitor water body under natural weather conditions, Is it possible to create a mosaic image that cover the whole area of interest of closest dates' days of the month as possible Or Not?!!, And then do the same of each every year?.
Please provide me with some literature if that possible!
Thanks a lot.
Question
Dear All,
Ana Ruescas @abruescas, and I have made a comprehensive technical revision of USER MANUAL FOR SEN-ET SNAP PLUGIN V1.1.0 March 19, 2020, accompanied by a detailed example,
for more details please visit,
Question
Different dates of Built up area are created, and now the question is, How to compare between these dates?
And How to compare between the results of Two different Built up index for the same date?
Question
Dear Colleagues,
Many indexes are available in SNAP concerning vegetation, water and soil , However, I didn’t find the indices to identify the built up area, for instance
UI (Urban Index)
NDBI (Normalised Difference Built-Up Index)
IBI (Index-based BuiltUp Index)
NBI (New Built up Index)
I know that it is possible to use band math to calculate each one of the above indices, but the question is,
Which one of the above is most recommended using Sentinel 2 images?,
OR any other are not mentioned here, it is great pleasure if you refer to them!
references if that possible.
Many thanks for your contribution.
Question
The question focuses on the jobless researchers, many researchers they are failing to getting job, So they are working from home, for this reason they haven't any kind of resources or funds, that's why they are looking for free journals. The field of interest is InSAR, Geohazards, general topic is Remote Sensing.
Question
Do you think that the SNAP software from ESA could be considered as an applicable software or similar to GAMMA remote sensing or, is it still an educational software?Why?

Network

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Projects

Project (1)
Project
The aim of this study is to develop a method for estimating CO2 emission rates of cultivated peat soils using data obtained from satellite observations. The results will be compared to estimates obtained by other methods like measurement of subsidence and CO2 emissions or the methods developed by the Intergovernmental Panel on Climate Change (IPCC) for greenhouse gas inventories. Eventually this project aims at decreasing the uncertainty in current estimates of peat soil degradation and climatic impact of cultivated peat soils Peatlands represent a major store of soil carbon and sink for carbon dioxide (CO2). Northern peatlands store 450 billion t carbon (C) which is equivalent to one third of global soil C stocks and 75% of the pre-industrial C in the atmosphere. Greenhouse gas (GHG) emissions from peat soils are a concern for Finland since 10% of total emissions or 60% of agricultural CO2 and nitrous oxide (N2O) emissions originate from decomposition of cultivated peat. These emissions are calculated using the emission factors of the Intergovernmental Panel on Climate Change. However, these factors are based on measurements of only few fields and the uncertainties are among the highest of the source classes. Measurement of GHGs is expensive and thus optional methods to estimate the emissions would be welcome. A method based on remote sensing would be a cost-saving option to improve the quality of emission inventory under the United Nations’ Framework Convention on Climate Change. Cultivated peatlands are a key kategory when looking for GHG mitigation possibilities in Finland. By reducing GHG emissions on cultivated peat soils, cost-efficient GHG mitigation can be gained both in the emissions of land use (CO2) and emissions under the effort sharing decision of the EU (N2O). At the moment, it is timely to estimate the requirements of the climate policies after 2020. In the proposal for the climate policy after 2020, the Commission of the EU includes Finland in the group of member states with the highest reduction target under the effort sharing decision in which agricultural emissions belong to. The requirements for the land use sector are high as well. It is estimated that Finland needs additional mitigation measures in both sectors in the future. Improved mapping of peat soils and their degradation is one step in planning efficient mitigation measures for agriculture. After drainage, the surface level of boreal peat soils lowers by 0.5-3 cm per year. This phenomenon called subsidence is related to compaction, erosion and losses of C to air mainly as CO2. A Norwegian study indicated that estimates of CO2 emission based on subsidence were comparable to CO2 measurement data. This suggests that a reliable method for estimating subsidence could be used for producing coarse emission estimates e.g. at country-scale. Modern remote sensing techniques have made it possible to detect and monitor ground deformation in millimeter scale precision. A new geodetic technique called Synthetic Aperture Radar Interferometry (InSAR) calculates the interference pattern caused by the difference in phase between two images acquired by spaceborne synthetic aperture radar at two distinct times. Both Envisat C-band and ALOS L-band were used to monitor changes in peat height in Scotland and in the tropics as well as in Dutch pasturelands. In cultivated peat soils drained for a long time, the existence of different types of vegetation and varying moisture content complicate the analysis. It is possible that in peatlands and other fast degrading land, the radar signal is reflected and spread away from the sensor and no information is recorded.This is called bad coherence or decorrelation in unstable objects, and can be overcome by installing corner reflectors to the ground to intensify the signal to the radar sensors. Corner reflectors are metal plates that can be turned to different angles. We plan to use different InSAR techniques together with an additional technique involving corner reflectors to study the feasibility of the InSAR approach in soil science. These techniques have not been used in Finland for this purpose even though the data is now readily available.This will be a pilot project in utilizing the readily available radar data for detecting severe environmental degradation that is occurring in all countries with significant areas of cultivated organic soils. Both the EU and the IPCC have emphasized that remote sensing techniques should be more widely used in GHG inventories. As this project will elucidate which are the best data products and methods to process the images, the utilization of the InSAR technique will be much easier for the future projects, where ever they are established.