Spatio-temporal Analysis of Urban Land Use and Land Cover Change by Using Geospatial Technologies; (The case of Hossana Town, Ethiopia)
Creators: name: Tesfay, Alem
Publisher: name: figshare
Year: 2021
Subjects: Geography

description: Hereby, Mr Alem T. Desalegn consciously assure that for the manuscript / Spatio-temporal Analysis on Urban Land Use and Land Cover Change by Using GIS and Remote Sensing Technologies: the Case of Hossana Town For this study three Landsat images of 1986, 2002 and 2019 were obtained from USGS and used to produce land use land cover maps of the respective years. The sat images which were used for this study were classified in ERDAS Imagine through livelihood classifier tool and the classified classes exported to ArcGIS 10.5 for map composition, tabulation and, change and conversion rate analysis of each land cover classes. For computation the extent and trend of land use and Land cover change<b> </b>comparison and conversion rate calculation landsat imageries were used. <br>Arc GIS 10.5 and ERDAS imagine 10.5 software have been used for the entire procedures of image processing. The images have been classified in to six (farm land, built up, bare land, wood/forest open area and water) dominate classes using supervised maximum likelihood classifier tool. For this study the most popular (user’s accuracy, producer’s accuracy, overall classification accuracy and koppa statistics) error matrixes were computed to evaluate the classification accuracy.The LU/LC change assessment was performed using a selection of Landsat images for the years 1986, 2002 and 2019. The concern of this study was to classify all land use and Land cover classes covering the study area based on FAO (1996) land use classification scheme. After the classification process the LU/LC areas were extracted, measured and computed in Arc GIS 10.5 for the respective study years. Generally, which include land use and Land cover maps and the corresponding statistical inventory produced for each period. First, realize the pair-wise comparison of land use maps, as well as their statistical inventories, in order to detect changes in terms of area but also the spatial distribution of these changes. Secondly, by keeping all land use categories investigating the impact of urbanization on other land uses and vice-versa. This was to compare the built up area of each selected years of study with the other land use land cover classes to evaluate the effect of urban settlement on the natural environment. After producing the land use and Land cover maps of 1986, 2002 and 2019 the rate of land use and Land cover change<b> </b>was computed through ArcGIS 10.5. The land use and Land cover maps of 1986, 2002 and 2019 were presented using figures and tables. The rate of change from 1986 to 2002, and from 2002 to 2019 were calculated and analyzed to know the area coverage and to get the information on the trend of conversation in terms of time respectively. While these analyses did not show the land use and Land cover dynamics from which class drives; the change conversion matrix was applied to calculate, analyze and to map for (1986 and 2002), (2002 and 2019) and 1986 and 2019) results in MS excel after exporting (the row data in dbase format) from ArcGIS. Thus, this material is the authors' own original work, which has not been previously published elsewhere. The paper reflects the authors' own research and analysis in a truthful and complete manner. <br> <br> <br>