Print ISSN: 1681-6900

Online ISSN: 2412-0758

Keywords : Landsat

Monitoring of Agricultural Drought in the Middle Euphrates Area, IraqUsing Landsat Dataset

Imzahim A. Alwan; Abdul Razzak T. Ziboon; Alaa G. Khalaf

Engineering and Technology Journal, 2019, Volume 37, Issue 7A, Pages 222-226
DOI: 10.30684/etj.37.7A.1

This study was conducted to monitor the agricultural drought in
the Middle Euphrates area, Iraq during the period from 1988 to 2018.
Multispectral Landsat TM, ETM+, and OLI images were used. The images
dated 1988, 1993, 2000, 2005, 2010, and 2018, which obtained during
growth months of plants (January, February, March, November, and
December).A computerized drought monitoring was adopted using ERDAS
Imagine 2015, ENVI 3.2, and ArcGIS 10.5 environments to process and
analysis the data. The spectral indices, which used in this study were: The
Normalized Difference Vegetation Index (NDVI) and Vegetation Condition
Index (VCI). The change analysis presented in this study is based on the
statistics extracted from the six resultant drought maps. The final results
were illustrated that drought area in the region had a noticeable increase
compared with no drought area. The results revealed that percentage of nodrought area ranged between (7%) and (17%) during the period from 1988
to 2018. The extremely and severely drought classes recorded high
percentage followed by moderately and mild drought in the region. From
this study can be concluded that there is a high rate of drought in the
region, especially in its southern and western parts.

Monitoring Change of Marshes In South of Iraq by Using Image Processing Techniques for Landsat Images Through Period From 1990 to 2015

Alaa Ghadhban Khalaf; Ghadah Hasan Mohammed; Ammar Abd Jaseem

Engineering and Technology Journal, 2016, Volume 34, Issue 9, Pages 261-274

This study was conducted for the purpose of monitoring changes in the marshes of southern Iraq, depend on image processing techniques for Landsat images for the period from 1990 to 2015.Landsat satellite images such as TM, ETM+, and LDCM for years 1990,2000, and 2015 in addition to set of maps were used, and then all these data were analysed and extracted the information from it by using ERDAS EMAGINE 2014 program also to extract the final maps layout the ARC GIS 10.2 program was used .Two important indices were extracted from satellite images, Transformed Normalized Difference Vegetation Index (TNDVI) and Normalized Difference Water Index (NDWI) for extract natural vegetation and water in study area. Supervised classification has been used to product three land cover maps for study area. After conducting all necessary analyses, the final results showed that the deterioration has happened largely in the waters of marshes and natural vegetation area in the period from 1990 to 2000 and then this deterioration was beginning decrease gradually and marshes began to recover from 2000 to 2015, there is increase in the surface area of waters of the marshes and natural vegetation in year 2015 than in year 2000, but this increase does not reach to the area of water and natural vegetation in year 1990.

Estimation of Land Surface Temperature for Different Regions in Iraq Using Remote Sensing Technique (ETM+); Yaseen K. Al-Timimi yassen-atimimi; Ali M. Al-Salihi; Alaa M. Al-lami

Engineering and Technology Journal, 2014, Volume 32, Issue 6, Pages 1084-1091

Temperatures are important factors that have an impact directly and indirectly on human, so the attention to this aspect certainly will be in the interest of human life.
In this research, the land surface temperature was estimated for different regions in Iraq, using the thermal Band of ETM+ sensor mounted in the Landsat 7 satellite. By using ERDAS 8.4 software, the thermal images are converted to thematic maps which represent land surface temperatures. The results showed that the estimated land surface temperatures are 29.7°C, 31.8°C, 17°C, 17.8°C, 17°C, 20.6°C and 30.2°C for Al-Mousl , Taleafer, Al-Ramadi, Heet, Kerbela, Al-Hai and Al-Basrah stations respectively. Also the results show that there is high correlation between the estimated and the observed data with a difference of 1-2°C.

Utilization of Remote Sensing Data and GIS Applications for Determination of the Land Cover Change in Karbala Governorate

Abdul Razzak T. Ziboon; Imzahim Abdulkareem Alwan; Alaa Ghadhban Khalaf

Engineering and Technology Journal, 2013, Volume 31, Issue 15, Pages 2773-2787

This study was conducted to determine the land cover changes between year 1976
and year 2011 in Karbala Governorate by using an integrated approach of remote
sensing data and GIS applications for investigation of the spatial and temporal
changes. A part of Karbala Governorate, whose Area is 768 km2 was selected as study
Four cloud free Landsat MSS, TM, ETM+, and SPOT scenes covering the study
area were selected for analysis. Images were acquired in years 1976, 1990, 2001, and
2011 respectively. All images which mentioned above are rectified and registered in
Universal Transverse Mercator (UTM) projection zone 38 N and supervised image
classification system has been observed to classify the images in different land cover
categories. Six land cover classes have been identified and used to determine the
change in land cover in study area and these classes are: Agricultural land, Water
bodies, Urban Area, Sand dunes, Bare soil, and Waterlogged Area. According to the
results obtained from statistics of classification, it was observed that most changes
occurred in heterogeneous agricultural areas. It is thought that the main reasons of this
change are increasing population pressure, increasing sand dunes, appearance and
increasing waterlogged area and changing economic activities. Those reasons have
been led to the decrease of the agricultural areas in study area during period from year
2001 to 2011.