scholarly journals Analysis of Spatial Development in and Around the City of Isparta through Remote Sensing and Geographic Information Systems

2013 ◽  
Vol 22 ◽  
pp. 120-132
Author(s):  
Kadir Temurçin ◽  
Gizem Uluşar
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Satellite Images ◽  
Spatial Development ◽  
Sustainable Land Use ◽  
Physical Contact ◽  
Geographical Information ◽  
Residential Areas ◽  
The City

Remote Sensing is a method of examination used in the study of resources on earth without any physical contact. It is a method by which the characteristics of the land below are recorded from space and sky. Determining the characteristics of natural and cultural resources of earth, sustainable exploitation of these resources in the most effective ways and continuous monitoring of the changes in these resources are fundamental to being a developed country. For a sustainable land use and urbanization, data about the unstable natural environment must be collected and monitored at regular intervals, and in order to do these, Remote Sensing (RS) and Geographical Information Systems (GIS) are employed. Images obtained through RS method can be analyzed for the accurate use of the data available. This study seeks to determine the spatial development in and around the city of Isparta through digital imaging processing techniques on different satellite images which belong to different years. Images from satellites ASTER and LANDSAT; information on the quarters in Isparta and the city plan and ERDAS IMAGINE 9.1 program were used in the study. The spatial development of the city of Isparta was studied on the basis of the satellite images obtained in the years 1987, 2000 and 2010 and this study was integrated into GIS. Having analyzed how much change occurred and which way it trended, important information was collected which will be used as source for future studies to be carried out on Isparta. It was observed that while residential areas increased, amount of forested land, and agricultural areas decreased during the periods studied.

scholarly journals EXAMINE OF THE IMPACT OF LAND USE ON WATER BASINS USING GEOGRAPHICAL INFORMATION SYSTEMS AND REMOTE SENSING: TERKOS BASIN EXAMPLE

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 15-20
Author(s):  
S. Ahi ◽  
A. Eymen
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Drinking Water ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Satellite Images ◽  
Geographical Information ◽  
Landsat 8 ◽  
Gis And Remote Sensing ◽  
The Impact

Abstract. Development movements bring along population movements. Investments in Istanbul make the city of Istanbul even more attractive. With the increasing population, the need for water is increasing day by day. Construction of the 3rd Istanbul Airport within the borders of Terkos Basin, which is one of the important drinking water resources of Istanbul, has caused land use changes in the basin. Geographical Information Systems (GIS) and Remote Sensing techniques have been used to examine this change. The data obtained through Remote Sensing can be easily analyzed in GIS environment.In this study, Landsat 8 satellite images of the years 2013, 2015 and 2020 were preferred in the examination of the temporal change of land use of the Terkos Basin. The satellite images obtained were classified using the controlled classification technique in the Envi program. Satellite images classified for the creation and analysis of land use maps have been transferred to the ArcGIS program. The changes in the classes determined according to the obtained results were examined, and the changes in question were revealed by spatial analysis. Suggestions have been made for the protection of the Terkos drinking water basin and ecosystem, which is extremely important for Istanbul.

Modeling air pollution-related hospital admissions employing remote sensing and geographical information systems.

2021 ◽  
pp. 118502
Author(s):  
Tavera Busso Iván ◽  
Rodríguez Núñez Martín ◽  
Amarillo Ana Carolina ◽  
Mettan Fabricio ◽  
Carreras Hebe Alejandra
Keyword(s):  
Remote Sensing ◽  
Air Pollution ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Hospital Admissions ◽  
Geographical Information

scholarly journals Numerical Modeling for Gully Erosion in the North of Algeria based on Data of Remote Sensing and Geographic Information Systems

2017 ◽  
Vol 25 (1) ◽  
pp. 37-63
Author(s):  
mohammad abbas daoudi mohammad abbas daoudi
Keyword(s):  
Remote Sensing ◽  
Multivariate Analysis ◽  
Information Systems ◽  
Geographical Information Systems ◽  
Univariate Analysis ◽  
Probabilistic Approach ◽  
Geographical Information ◽  
Rainfall Erosivity ◽  
Erosion Risk ◽  
The North

The problems of soil erosion are largely widespread in the countries of the Mediterranean basin. The process of gullying is a complex phenomenon with disastrous consequences. It particularly affects northern Algeria, decreasing the potentialities of the water tanks, reducing cultivable lands availability and degrading infrastructures. Therefore, this work studies the analysis and the prediction of gullying erosion by using a probabilistic approach based on multisource data. The objective of this search is to answer to the three following questions: i) which factors support the process of gullying ? ii) how does a process of gullying develop? iii) which are the zones favourable to gullying ? Works are undertaken on the catchment area of the Isser River. We focused the applications on the upstream part of the basin. In this research, we study a North-South transect which corresponds to three under-basins slopes. The choice of these tests areas answers to four criteria defined in our method: the representativeness, the homogeneity, the availability of former data and, finally, the accessibility. After the completion of the multisource data, modelling and multivariate analysis for the prediction of gullying. The combination factor-process by the univariate analysis allows on the one hand, to highlight the variables controlling the process of gullying, and on the other hand, to analyse the variables on a hierarchical basis and to know their degree of influence. The multivariate analysis, by the logistic regression model (LRM), enabled us to select the significant variables and to locate the most favourable zones for the process of gullying. The validation of the models is evaluated using the curves of lift spin. The results suggest that the factors highlighted by the model to be most influential on gullying erosion are: the lithology, the slope, the morphopedology, the rainfall erosivity and the land cover. The synthesis of this approach is illustrated in the form of charts of gullying erosion risk maps in four classes of probability. The assessment of the study shows the fundamental interest of this approach using geographical information systems and remote sensing, in particular for the watersheds of the southern Mediterranean, with the possibility of extending this methodology to other regions.

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