SPATIO-TEMPORAL ANALYSIS OF URBAN LAND USE AND LAND COVER CHANGE USING GEOSPATIAL TECHNIQUES IN HOSSANA TOWN, ETHIOPIA (original) (raw)
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2015
Urbanization has a pivotal role for land-use and land-cover changes and ecological degradation in return with some socioeconomic benefits. Hence, it is very important to have frequent urban information to secure urban land use sustainability so as to minimize its impacts on urban ecology. This study was aimed at to map and quantify Land-use/Land-cover change and spatio-temporal expansion process of Assela Town between 1985 and 2013. Integrated Remote Sensing (RS) and Geographical Information System (GIS) techniques were applied. The Land-use/Land-cover and urban expansion dynamics of the town was the result of remotely sensed multi-temporal satellite imageries interpretation traced back to 1985, 1993, 2001 and 2013 respectively. Land-use/Land-cover area changes detection and conversion to urban landscape comparison between each study period was computed. The supervised image classification method with maximum likelihood probability algorithm has been employed for the land -cover cla...
This paper describes mainly by focusing on the land use land cover dynamics of Jigjiga town, the capital of Ethiopian Somali region. The implications of changes was also investigated using the working power of GIS environment. Satellite images were integrated with GIS working interface and it was very effective in analyzing the direction, rate and spatial pattern of the changes. The time interval considered was fifteen years of different times and three land use land cover maps were produced from each year (1985, 2000 and 2015) at the specified interval. These time intervals were taken based on the prevalence of the government changes coming to power with their respective policies and strategies. The analysis shows that four major land use land cover classes exist in the area. These include built-up area, grass land, shrub land and open areas. They show changes at times with variation in magnitude and pattern of changes. During the study periods, built-up areas are getting continuous increment while grass lands are continuously decreasing. This indicates as the pre-existing grass land areas are highly converted in to either built-up areas or any open area left over unutilized. This is done due to the increase in population in the area demanding plots of areas for their survival. On the other hand, shrub lands shows fluctuations due to similarity of spectral reflectance patterns with either grass lands or open areas where as open areas got continual increase since there exists left over plots in between different blocks and units of built-ups. The major general factors of the land use land cover changes include population growth and density, encouraging urban expansion policies, being economic corridor of the area attracting many people from different corners of the country and land ownership condition. Therefore, level of urbanization is directly interrelated with the existence of appropriate urbanization policy. Generally, different land classes undergo changes overtime due to the existence of factors like policies, population number, land ownerships and satellite image analysis using ERDAS and ARcGIS software is a very effective method in such a study.
—Urbanization has a pivotal role to play on land use land cover changes and ecological degradation, in return with some socioeconomic benefits. Hence, it is important to have frequent update on urban information to secure urban land use sustainability in order to minimize its impacts on urban ecology. The aim of this study is to use geospatial techniques for assessment of land use land cover change detection of Adama city, Ethiopia. Four datasets of landsat 5 and 7 thematic mapper (TM) were used to identify LULC from 1984 to 2014 over a period of 30 years using maximum likelihood technique and subsequently analysed within a GIS environment. The study area has been categorized into five different LULC classes, namely, urban, agriculture, shrub and bushes, barren area and hilly area. Results shows that during the last thirty years, urban area has increased by 31.73% (i.e., 42.66 km 2), while agriculture area have decreased by 24.53% (i.e., 32.98 km 2). Further, it is observed that during this period, population in the area has increasing at an average rate of 5%. Correlating population and urban growth, it is found that by the year 2030 the whole area would be fully converted into urban area.
Journal of Geographic Information System
The importance of accurate and timely information describing the nature and extent of land resources and changes over time is increasing, especially in fast-growing urban areas. We have developed a methodology to detect changes in land cover using satellite images for the years 1997, 2002, 2012 and 2017. The categories of five-class classification in the study area were built up area, plantation, waterbody, agricultural land and pastureland. The maps showed that between 1997 and 2017, the amount of urban or developed land increased from 8.12% to 52.4% of the total area, while agriculture land, plantation, waterbody and pastureland decreased from the 91.88% to 47.6% from the entire study area. The results showed that the urban (highly built-up) area increased dramatically. Inversely, pastureland, agricultural land, waterbody, and plantation decreased obviously from the period of 1997 to 2017. The remote sensing and GIS technique used in this study proved to be efficient; the time was shortened for the analysis of the city extension; and it was discovered that it was a useful tool to evaluate the effects of urbanization on the basis of the satellite image of the given years. The results quantify land use, coverage change patterns in Debre Tabor Town and demonstrate the potential of remote sensing, and GIS tools provide an accurate and cost-effective means to track land cover changes along time that can be used as management decisions and guidelines.
Urban expansion is one of the key problems in Ethiopia resulting in displacement of the rural people inhabiting areas bordering the cities/towns. It is also resulting in land use land cover (LULC) changes affecting the livelihoods of the people and the ecosystems [1,2]. The data presented in this article, therefore, shows the spa-tiotemporal LULC changes of peri-urban expansion areas known as Koye-Feche and Qilinto, around Addis Ababa City (the capital of Ethiopia). The data were generated from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM þ) images (with path/row numbers 168/054) by using ERDAS EMAGINE 2014 software. The precision of the images was verified by geolocation data collected from ground control points by using Geographic Positioning System (GPS) receiver. The data indicate that the built-up areas have increased by 1017.85 ha (10.178 km 2) with 89.1%, 58.4%, 47% and 13% decline of plantation (mostly eucalyptus woodlots), grasslands, riverine vegetation (forestland) and cropland, respectively , between 1986 and 2016.
Evaluation of land use/land cover changes in Mekelle City, Ethiopia using Remote Sensing and GIS
Land use is a dynamic phenomenon that changes with time and space due to anthropogenic pressure and development. Evaluating the existing land use and its periodic change is useful for urban planners, policy makers and natural resource managers. Land use and land cover changes in Mekelle City, Ethiopia (north east Africa) over a period of 25 years was studied using remotely sensed data. Multi temporal satellite data of Landsat was used to map and monitor urban land use changes occurred during two point of time of 1985 and 2010. A pixel base supervised image classification was used to map land use land cover classes for maps of both time set. A positive changes of 200% was recorded in urban features of Mekelle, whereas, an area of 6 km 2 was added in grasslands. On the other hand a loss of 92.86% was estimated in bare land and all farm lands available in the area were converted into other feature and it declined from 3 km 2 to nil. Since forest land is protected so that no change in sparse forest was recorded.
European Academic Research, 2021
In the last decades, Assela town has experienced drastic changes in its vast geographical expansion, and also by internal transformations. Subsequently, understanding and evaluating the spatiotemporal dynamics of urban growth and land use and land cover (LULC) shifts, and it is important to bring forth the right strategies and processes to track urban development in decision-making. The goal of this analysis was therefore to examine LULC changes that have taken place bewtween 1995 to 2021, forecast the long-term urban development in Assela town using geospatial techniques. For this study a three time series data Landsat 5 for 1995, Landsat 7 for 2008, and Landsat 8 for 2021 satellite images were used to extract LULC types. Four LULC classes were extracted using a Support Vector Machine (SVM) supervised classification approach for image classification. Agricultural land, paved surfaces, vegetation, and water bodies were the LULC classes. Maximum likelihood supervised classification of satellite imageries was applied for Image classification. The area in terms of LULC can be divided into following four classes: Paved surface, agriculture land, and vegetation and water bodies.
ABSTRACT This paper assessed the spatiotemporal analysis of recent land use and land cover changes of Goro District, South west shewa, central Ethiopia. This study was aimed at to map and quantify Land-use/Land-cover change and spatiotemporal analysis of Goro district between 1995 and2015. Integrated Remote Sensing (RS) and Geographical Information System (GIS) techniques were effectively applied for analyzing the magnitude, rate, and spatial pattern of land use change The Land-use/Land-cover and urban expansion dynamics of the town was the result of remotely sensed multi-temporal satellite imageries interpretation traced back to 1995, 2005 and 2015. Land-use/Land-cover area changes detection of land cover classes comparison between each study period was computed. The supervised image classification method with maximum likelihood probability algorithm has been employed for the land -cover classification in ENVI4.7 software. Four land use and land cover maps were produced by analyzing multi temporal remotely sensed images of three dates from Landsat satellite imageries and shows the major land use and land cover types. These include forest, shrub or bush, grass and agricultural land. In between (1995 to 2015), there was a dramatic expansion of grassland followed by forest however; shrub and farm land shows a reduction in aerial coverage. On the other hand in between 2005 to 2015, the inverse is true for agricultural land and shrub land shows a dramatic expansion but grass and forest land shows a reduction in the aerial coverage. The human driving factors include Population growth and density, over intensification of land use, farm size and policies on land use. The other driving forces for these changes were natural factors such as drought and Climate change. These factors results in various forces and strong effect to change the quantity and quality of land use. Keywords: Land Use/Land Cover classes; GIS; Remote sensing; spatiotemporal; Ethiopia
International Journal of Remote Sensing, 2017
Information on the rate and pattern of urban expansion is required by urban planners to devise proper urban planning and management policy directions. This study evaluated the dynamics and spatial pattern of Mekelle City's expansion in the past three decades (1984-2014). Multi-temporal Landsat images and Maximum Likelihood Classifier were used to produce decadal land use/land cover (LULC) maps. Changes in LULC and spatial pattern of urban expansion were analysed by post-classification change detection and spatial metrics, respectively. The results showed that in the periods 1984-1994, 1994-2004, and 2004-2014, the built-up area increased annually by 10%, 9%, and 8%, respectively; with an average annual increment of 19% (100 ha year −1), from 531 ha in 1984 to 3524 ha in 2014. Between 1984 and 2014, about 88% of the gain in built-up area was from conversion of agricultural lands, which decreased by 39%. Extension of existing urban areas was the dominant growth type, which accounted for 54%, 75%, and 81% of the total new development during 1984-1994, 1994-2004, and 2004-2014, respectively. The spatial metrics analyses revealed urban sprawl, with increased heterogeneity and gradual dispersion in the outskirts of the city. The per capita land consumption rate (ha per person) increased from 0.009 in 1984 to 0.014 in 2014, indicating low density urban growth. Based on the prediction result, the current (2014) built-up area will double by 2035, and this is likely to have multiple socioeconomic and environmental consequences unless sustainable urban planning and development policies are devised.
2021
The dynamics of land use-land cover changes is one of the phenomena which interweave the socioeconomic, political, and environmental issues in Ethiopia. This study investigated the land use-land cover (LULC) changes in the Majang Zone of Gambela Region, Ethiopia over a period of 33 years from 1985 to 2018. Four sets of Landsat imageries (i.e.,1985, 1996, 2007, and 2018) were the input data from which LULC maps were produced and analyzed using remote sensing and GIS applications. Concurrently, key informants’ interviews, focus group discussions, and questionnaires were used to identify and describe the drivers of LULC changes. The LULC change analysis revealed a continuous decline of forest lands throughout the first (1985-1996), second (1996-2007), and third (2007-2018) study periods by 10.7%, 17%, and 31.5%, respectively. Similarly, shrub/grasslands decreased in all consecutive three periods by 22%, 29.5%, and 63.7%. On the contrary, settlement areas increased by 53.6% in the first...