Urban Sprawl Processes Joining Cellular Automata, GIS and Remote Sensing Data: Simulation of Details Un-authorized Development

2010 ◽  
Author(s):  
Norzailawati Mohd Noor ◽  
Mazlan Hashim
Keyword(s):  
Remote Sensing ◽  
Cellular Automata ◽  
Urban Sprawl ◽  
Remote Sensing Data ◽  
Data Simulation ◽  
Gis And Remote Sensing ◽  
Sensing Data

Extended Pattern of Urban Sprawl Analysis from Remote Sensing Data in Ulaanbaatar, Mongolia

2020 ◽  
Author(s):  
Myagmartseren Purevtseren ◽  
Myagmarjav Indra ◽  
Byambakhuu Gantumur ◽  
Enkhtuya Nergui ◽  
Dabuxile Gungarjav
Keyword(s):  
Remote Sensing ◽  
Urban Sprawl ◽  
Remote Sensing Data ◽  
Sensing Data

Research on Technology of the Global Geographic Data Sets Generation Based on the Original Remote Sensing Data

2012 ◽  
Vol 433-440 ◽  
pp. 4229-4234
Author(s):  
Wen Quan Feng ◽  
Gan Zhou ◽  
Yong Fang
Keyword(s):  
Remote Sensing ◽  
Control System ◽  
Remote Sensing Data ◽  
Data Sets ◽  
Generation Process ◽  
Data Simulation ◽  
Sensing Data ◽  
Ground Station ◽  
Geographic Data ◽  
Operation Control

To meet the simulation and testing requirements of HY-1 Satellite ground operation control system simulation subsystem, a global geographic data sets based on original remote sensing data was proposed. This paper detailed the function and data processing methods of the data sets, mainly including data structure and the key algorithm of the satellite calibration and data filling required in the data sets generation process. At last, using the data simulation function of ground station, the generated raw data would be sent to real ground operation control system, and the processed images showing the data sets were filled with good results

scholarly journals Urban Sprawl Assessment and Its Effect on Land Use Transformation in Varanasi City using Remote Sensing and GIS

2019 ◽  
Vol 9 (2) ◽  
pp. 1056-1061
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Urban Sprawl ◽  
Urban Areas ◽  
Urban Expansion ◽  
Remote Sensing Data ◽  
Gis And Remote Sensing ◽  
Land Use Transformation ◽  
Vegetation Water ◽  
Almost All

This paper seeks to examine the effect of urbanization on changes in land use in the peri-urban areas of Varanasi city in India. The area of study is divided into six different classes of land use: built-up area, agriculture, vegetation, water bodies, sand and other land use. Using the maximum likelihood technique, Landsat 5 TM satellite data were used to identify land use and land cover changes from 1996 to 2017. The findings indicate a substantial increase in the built-up area, associated with reduced water and other land use cover. The urban sprawl is observed in almost all directions from the city boundaries, and along highways. Shannon’s entropy analysis reveals dispersed distribution of built-up area. The approach based on GIS and remote sensing data, together with statistical analysis, has proved instrumental in the analysis of urban expansion. It also helps to identify priority areas that require adequate planning for sustainable development.

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