Isnain, Zulherry
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Detection of Urban Growth in Taiz City, Yemen, Between 1981 and 2022 by Using Google Earth™ and Geographical Information System Data Aziz, Ahmed Abdul; Abdullah, Anwar; Isnain, Zulherry
Indonesian Journal on Geoscience Vol. 11 No. 1 (2024)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.11.1.61-79

Abstract

Rapid urbanization brought serious socio-economic and environmental problems in many cities around the world, particularly in developing countries like Yemen. Urban "sprawl", a synonym of rapid and unplanned urban growth, is considered an obstacle for sustainable development, which causes serious long- and short-term problems, such as extreme infrastructure expenses, economic inefficiency, environmental destruction, and social instability. This is the case of Taiz City, the third largest city in Yemen, which is facing a huge challenge to manage the spatial extension of its built-up area at the expense of the reduction of natural resources and environment. This study aims to investigate urban growth process in Taiz City, focusing on urban sprawl and agricultural land-use change during 1981–2022. The data used are high resolution geospatial data, which are the topographic map for 1981 and Google Earth (GE) images for 2003, 2012, and 2022. The methodology adopted was manual digitizing using Geographic Information System (GIS) software to extract urban land use features from the images of the different dates. Four land-use maps were produced and used for calculation the urban sprawl and land-use changes. The urban expansion rate and patterns were also identified in three phases: 1981–2003, 2003–2012, and 2012–2022. The results show that the built-up area increased six times from 6.2 km2 in 1981 to 34 km2 in 2022, while the agriculture area decreased by 77% from 18 km2 in 1981 to 4.2 km2 in 2022. The urban sprawl in Taiz covered about 75% of its municipal area and extended to the agricultural and rural areas. The sprawl index (USI) is measured to be 5.4%, indicating a high degree of sprawl in Taiz. There is no open space left for future development, and the water resources are at risk of population and depletion. The study demonstrated that informal and haphazard expansion must be controlled, a development strategy should be prepared, so that sustainable urban growth can be achieved. The results of this study could be used as a decision support tool for urban management activities. The vector layers produced by this study could provide the required input data for the future urban modeling of the city.
The Weighted Values of the Factor's Classes Based on Different Approaches for Potential Zones of the Groundwater Mapping Using Remote Sensing Data and GIS Technique in the Taiz Region, Yemen Abdullah, Anwar; Abdul Aziz, Ahmed; Isnain, Zulherry
Indonesian Journal on Geoscience Vol. 12 No. 1 (2025)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.12.1.105-131

Abstract

Remote sensing and geographical information system (GIS) have become one of the leading tools in the field of groundwater, which help in assessing, monitoring, and mapping groundwater resources, especially in semi-arid areas. The objective of this paper is to assess and to map groundwater potential zone in Taiz Governorate by the overlaying technique of the geospatial factors. The available twelve factors were prepared in this work from different data sources using several processes. The soil and landuse factors were prepared from Landsat-7 with the colour enhancement technique and supervised classification. The lineament, automatic drainage, slope, elevation steepness (topography) and aspect were derived from DEM, rock units, geological faults, and contact created from previous geological map. Geophysical subsurface faults were also prepared from previous magnetic faults. The rainfall data was generated from the previous annual rainfall reading. All these maps were prepared and classified to be suitable for weighted values and GIS overlying model. The manual, scaling, and matrix weighted values were assigned to the factor (raster) maps to produce three groundwater potential zone maps. These maps were classified into five classes as very low, low moderate, high, and very high potential zones. Three groundwater potential maps produced in this work were compared together and evaluated using matching technique with previous prospecting groundwater map. The percentages of the matching were 58.56 % for the potential map of the matrix analysis, 27.95 % for the potential map of the scaling equation, and 13.49 % for the potential map of the manual weighted values. This evaluation shows that the potential map of matrix weighted values scored the highest of matching, and it is the best potential map compared with the other two maps. The new finding in this work was more than six new places in the best groundwater potential map of the area noted as new groundwater potential areas. The locations of these areas were NE corner, S-SW, W, NW corner, N, and some places in the central parts of the studied area. Hence, the resultant map may contribute to optimize the choice of location of future drilling, and to increase the chances to take water from new wells which will satisfy the increasing water demand of local population. Moreover, the groundwater potential zone map was assessed for the first time using these techniques in the area, and all maps of the factors created in this research are new maps that may represent the new database of the area.