Department of Geography, Faculty of Arts
The University of Jordan
Aymen Al-Taani, Yusra Al-husban, and Ahmad Ayan Elsevier BV
Aymen Taani and Yusra Al-Husban The University of Jordan
This paper investigates multi-temporal land surface temperature (LST) for large ungauged areas of Ma’an Governorate, Jordan, based on changes in normalized difference vegetation index (NDVI) using remotely sensed data. Five mosaic images were taken for both the 1990 and 2018 years by Landsat 5 (TM) and Landsat 8 (OLI) (path/row, 174/36- 174/37). These were used as the basic data source, where most of Ma’an Governorate has no meteorological stations. The five-mosaic images for both Landsat 5 and Landsat 8-OLI were taken in September. LST and NDVI maps have been generated to determine the changes in LTS during the monitoring period. The results showed that the minimum value of LST increased by 4°C, and the mean surface temperature increased nearly by 2°C between 1990 and 2018. The average LST has been rising at a rate of 0.071°C/y.
Maysoon Alzghoul and Yusra Al-Husban Desalination Publications
This article focuses on selecting and determining optimum sites for indigenous rainwater harvesting (RWH) in the Asir region in the Kingdom of Saudi Arabia. The three biophysical factors chosen are slope percentage, rainfall, and soil texture. In addition to seven socio-economic constraints, various other parameters included in the analysis are the distance to the drainage network, road networks, international borders, urban areas, vegetated area, established dams, and faults. The different geospatial layers were then reclassified and transferred to a suitability coding number to produce the suitability map of RWH using multi-criteria analysis in combination with a geographic information system, and data from remote sensing. Overlay analysis and buffering zone applied for each socio-economic parameter. The results determined the optimal spatial sites for RWH storage within the Asir region; these findings showed that there is a sufficient area with a high potential of RWH. Thus ca. 14,261.76 km2, 18.5%, of the study area, has a high or very high suitability for the RWH systems, while 9,626.99 km2, 12.5% of the total area, is unsuitable. The fieldworks were carried out on the selected optimum sites for further investigation to make sure that the selected sites are not in conflict with other land use/land cover in the area.
Aymen AL-Taani, Yusra Al-husban, and Ibrahim Farhan Elsevier BV
Yusra Al-Husban and Ahmad Ayen Russian Geographical Society
The study goal is to monitor and evaluate the significant changes in land use/land cover (LULC) in Al-Yarmouk basin (YB) within only 8 year. (YB) is shared between Syria, Jordan, Palestinian Authority, and Israel. (YB) has been affected not only by water scarcity, frequent drought conditions; But nowadays provide proof that the major factor responsible for the current of the significant changes in (LULC) in the study area is the Syrian civil war that began in mid-2011, and the Syrian refugee influx into Jordan has been massive, more than 660,935 Syrians were registered in three camps; Za’atri the largest refugee camp in the world, Azraq and the Emirate, according to the Official figures, with the highest density about 58 not 50 person look; Fig.5 in YB. Landsat Thematic Mapper Landsat 5 (2010) and 8-OLI (2018) covering a period of 8 years. An on-screen digitizing methodology has been employed. The images of the study area were categorized into four different classes: vegetation, built-up area, barren area, and water bodies. Normalized difference vegetation index (NDVI) was applied at a threshold value≥ 0.1 to distinguish between the vegetated area and non-vegetated areas. IN this study, the NDVI and LULC based classification have indicated that significant change in (LULC) between a year 2010 and 2018. The Major change has been found in the vegetation area which decreased by (-12.02%), in addition, an increase of the built up area by (+1.69%). Al-Wehda dam area decreased by -0.08%. Linear regression trends showed a slight decrease in the mean rainfall during the study period (2010/2018). However, this finding is not statistically significant at the 95 % confidence level.
Yusra Al-husban Springer Science and Business Media LLC
Abedlkareem Kaliel Al-Husban Kaunas University of Technology (KTU)
The objective of this study is to monitor and analyze the meandering, and changes in land use / land cover (LULC) caused by the large reduction of water flow of the lower Jordan River (LJR), resulting from climatic conditions, and conflict over water resources between Syria, Jordan, Israel and the Palestinian Authority in the upper part of the Jordan River Basin (JRB). These circumstances have led to dramatic decline in the Dead Sea level by a vertical distance of -39 m during the monitoring period. This has resulted in the scarcity of water resources, changes affecting the geomorphology of the river as well as the vegetated area and the spatial distribution of riparian vegetation in the (LJR). These changes were examined using Landsat TM, ETM, all images acquired in August 1984, 2000, and 2016, and a topographic map (TM) was used as a base map. The multi-temporal images were geometrically and radio metrically calibrated to each other and used as input for an automatic change detection procedure. The results of the interpretation showed that there was an elongation in the active channel length of about 741.8 m within the monitoring period as a result of the Dead Sea retreat, and about 2.65 km caused by meandering. The direction of the migration rates varied towards west and east, with the dominant direction towards the west and the annual average migration rate for west and east was 0.325 m, with a total lateral migration during the study period about only 17.875m in both directions west and east. River meandering has increased from 1.8 m to 2.1 m in the time period. With respect to (LULC), the difference image indicated that significant positive changes in green vegetation have occurred between 1984 and 2016; this is due to the expansion of water storage by canals, and dams in all riparian counters, with an increase in water ponds. The Normalized Difference Vegetation Index (NDVI) showed that the riparian vegetation area increased by 36.9% during the monitoring period, indicating the stability of the valley floor. DOI: http://dx.doi.org/10.5755/j01.erem.74.2.20917