مواقع التدريسيينجامعة الكوفة
Ali Kadhim Hussein Al-Otwi
Professor

Ali Kadhim Hussein Al-Otwi

Dentistry General Dentistry
0Publications
0Lectures
0Interests

About

My name is Ali kadhim Hussein, I was born in Najaf Governorate, my academic achievement is as follows;
Bachelor's degree in Physics Sciences 7/18/2005
MSc in Remote Sensing Physics 02-27-2013
PhD in Physics of Remote Sensing and image processing 20-5-2018
Member of the Examination Committee 2013
Member of the Examination Committee 2018
Lecturer and instructor at the College of Dentistry
Skills and expertise
TSS estimation
The global spatial statistics Moran's I
Anselin's Local Moran I statistics
Hotspot Getis-Ord Gi* statistic analysis
The Kulldorff spatial scan statistic the SaTScan
Change Detection
Water Quality Index
Hydrology Analysis
Interpolation (IDW & Kriging)
Photographic design.
Suitability of Solar PV Plant Sites

Research Interests

2
remote sensing and image processingremote sensing

Publications

8
2020/4/30

Watershed and Stream Network Delineation by using GIS Techniques, AL-Najaf, Iraq

AuthorsMohanad G Murad, Ali K Hussein, Nabeel Abbood Kadhim, Ali Abid Abojassim
JournalSolid State Technology
Abstract

This study completed in Al-Najaf territory which lies a southwest piece of Iraq. It is spoken to by three regions are Al-Kufa region focus that incorporates (Al-Abbassiya sub region, and Al-Huriya sub region), Al-Manathera region focus that incorporates (Al-Heera sub locale, Al-Mishkahab sub area, and Al-Qadisiya sub-region) and Al-Haydria sub-region that is situated inside Al-Najaf region focus. The advanced height model (DEM) was utilized to draw the waste example of the contemplated region by utilizing the Hydrology Tools in ArcGIS. In Al-Qadisiya sub district, six order stream formed in the south-east part. A pure point has been created to delineate stream network and watershed area of 1,375 km2.

2020/11/1

Water Quality Index for Surface Water Assessment by Using Gis Techniques, Alnajaf, Kufa, Iraq

AuthorsAli Kadhim Hussein, Nabeel Abbood Kadhim, Adil Shnawa Jaber, Ali Abid Abojassim
JournalIOP Publishing
Abstract

Our study achieved in AL-Najaf province within kufa district which are consist of stream network, in dry season (2016), there are thirteen samples collected and six physicochemical parameter analyzed in laboratory of environment in surface water and agriculture directorate in AL-Najaf Province. Six physicochemical parameter like Ec (mmho/cm), TDS (mg/liter), Ca+ 2 (mg/liter), Cl-(mg/liter), So4-2 (mg/liter), and PH. For irrigation purpose Standards Iraq were used and inverse distance waited (IDW) interpolation has been used to make of six parameters spatial distribution map above. Raster calculator of Arc map GIS 10.2 software presented water quality index for surface water samples ranged between 53.5092-87.5235

2020

Landsat-8 operational land imager change detection analysis using remote sensing and GIS techniques in Al-Manathera District, Najaf-Iraq

AuthorsAli K. Hussein, NABEEL ABBOOD KADHIM, ADIL SHNAWA JABER, AA Abojassim
JournalAgri Bio Research Publishers
Abstract

In this study, Al-Manathera district was monitored and mapped using Landsat-8 OLI imagery from the years 2013 to 2019 as well as evaluated land use and land cover changes in the district. Maximum likehood technology was achieved to create the signature class of significant LULC category, barren land, agriculture land, orchards, water bodies and built-up area. After certifying suitable accuracy value for each classified image, a detail classification change detection analysis was performed. Image differencing statistical change detection technology, change dynamics analysis was also applied to assess the statistics of two images. According to remote sensing (RS) and geographic information system (GIS) techniques, the study was a try for monitoring the change in LULC patterns of Al-Manathera for the period 2013 to 2019. This study showed that agricultural land, built-up area, barren land and water bodies decreased by-7.91,-0.20-1.76 and-0.08%, respectively, while orchards increased by 9.95%

2020

LAND USE AND LAND COVER CHANGE DETECTION USING SATELLITE IMAGES FOR THE KUFA DISTRICT, NAJAF, IRAQ

AuthorsNabeel A Kadhim, Ali K Hussein, Adil Sh Jaber, Ali Abid Abojassim
JournalJournal of Xi'an University of Architecture & Technology
Abstract

Remote sensing technology is the widely applied technology used for land use/land cover change detection analysis. In this study, two Landsat 8 OLI imagery (2013-2019) have been used to extract change detection analysis with five classes (ie: residential buildings, water bodies, orchards, agriculture lands and bare lands) achieved by ERDAS imagery 2015. Supervised classification maximum likelihood classifier method was utilized to prepare land use land cover maps of the study area. The accuracy of the classified LULC map was assessed using A Google earth linked with ERDAS imagery. Results shows, agriculture lands, water bodies and orchards have increased by 5.43%, 0.22% and 1.56% while residential buildings and bare lands have decreased by-3.56% and-3.57% respectively.

2019/9/1

Water Quality index for Surface Water Assessment by using Remote Sensing and GIS Techniques, AL- Najaf, Al-Manathera district, Iraq

AuthorsNajlaa A Ali Al-Dahhan1, Ali K. Hussein Al-Atwi1 and Mohanad G Murad. Al-Zubaidi1
JournalIOP Publishing
Abstract

This study carried out in AL-Najaf province within Al-Manathera district that contents stream network, in dry season (2018), twenty samples collected and six physicochemical parameter analyzed for surface water in laboratory of environment and agriculture directorate in AL-Najaf Province.Six physicochemical parameter like Ec (mmho/cm), TDS(mg/liter), Ca+2(mg/liter), Cl−(mg/liter), So4−2(mg/liter), and PH.Standards Iraq for irrigation purpose were used and inverse distance waited(IDW) interpolation has been utilized to create of six parameters spatial distribution map above.Raster calculator of Arc map GIS 10.2 software presented water quality index for surface water samples ranged between 54.2912- 79.9387.

2018

Assessment of the Irrigation and Drainage Networks in AL-Kufa District Using GIS

AuthorsEbtesam Khanjer, Nawal Ghazal,Huda Wajood,Ali Kadhim Hussein
JournalIndian Journal of Natural Sciences
Abstract

Applying this work in the province of Najaf, within the alluvial plain that has been chosen in the district of Kufa and its aspects such as AL-Abbassiya sub district, and AL- Huriya sub district which containing the irrigation and drainage networks. The implementation of the work is applied in two stages, the first phase represented as irrigation networks and its facilities, while the second phase as studying drainage networks. This study is carried out to know the problems of irrigation and drainage networks, the amount of water that isleaking from these projects and the impact on the area planted and the effect on the amount of production. Also to checkall regulators and pumps performance and which is idle or needs repairs. (2) (PDF) Assessment of the Irrigation and Drainage Networks in AL-Kufa District Using GIS. Available from: https://www.researchgate.net/publication/330741032_Assessment_of_the_Irrigation_and_Drainage_Networks_in_AL-Kufa_District_Using_GIS [accessed Mar 08 2021].

2017

Accuracy Assessment of Land Use and Land Cover Classification of AL-Najaf Province, Iraq

AuthorsNawal K Ghazal, Ali K Hussein
JournalUniversity of Kufa
Abstract

الوصف The study has been applied in AL-Najaf province within sedimentary plain, where the study area has been divided into three districts: AL-Haydria sub district, AL-Kufa district center with (AL-Abbassiya sub district, and AL-Huriya sub district) and AL-Manathera district center with (AL-Heera sub district, AL-Mishkahab sub district, and AL-Qadisiya sub district), then maximum likelihood supervised classifications has been used in order to classify these districts by using landsat 8 satellite image of 2015. For each one of these districts, there are totally six categories were identified and classified in this study. They are a residential buildings, water bodies, orchards, agriculture lands, a green space and bare lands. The ERDAS Imagine version 9.2 is presented the following accuracy, for AL-Kufa district center, the overall classification accuracy is 85.05% and the overall Kappa Statistics is 0.7850, whereas AL-Haydria sub district, the overall classification accuracy 94.82% and the overall kappa statistics is 0.8501, and finally AL-Manathera district center, the overall classification accuracy is 89.12% and the overall kappa statistics is 0.8552.

2017

Assessment the Irrigation and Drainage Networks in AL-Manathera district using GIS

AuthorsNawal K Ghazal, Ali K Hussein
JournalUniversity of Kufa
Abstract

This work is carried out in Al-Manathira Center (which includes Al-Heera sub district, Al-Mishkahab sub district, and Al-Qadisiya sub district) located in Najaf governorate. This study concern in the irrigation and drainage networks and their installations. For this region the study is presented by two stages for standing on important problems for irrigation and drainage projects. The first stage is to describe the irrigation networks and identify the unemployed parts need repair and which parts need to be replaced, where Arc map GIS version 10.2 can be used to create geo-database for the irrigation and drainage network, their installations, recorded Regulators and pumps performance. Installations of irrigation and drainage network need maintenance, feature class of Arc map GIS recorded: 5 Regulators, 1 Pump station. While the second stage is to describe the drainage networks and determine their efficiency. Finally, the effect of this is on the amount of water leaking, the area of cultivated land and the impact on the quantity of the crops.

Lectures

11
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