Geo-Spatial Data integrated with Landscape Metrics for Urban Sprawl Pattern Analysis
Remote Sensing data can be applicable in many fields as direct use to assess change for monitoring and in many models as input data for further analysis. Selection of remote sensing images to create spatial database is mainly depend on user requirement and these satellite image can be selected for spatial database generation based satellite image characteristics , which can be explained by below parameters of satellite image- Spatial Resolution Spectral Resolution Temporal Resolution and Radiometric Resolution Based on above property satellite images can be selected by user then basic image processing steps need to follow to create accurate spatial data Image Geometric corrections Image Radiometric corrections Image Enhancement Image Classification Accuracy assessment to accept spatial data for further analysis These spatial data created using satellite images can be used in simulation and mathematical model/method . In this article these spatial data are a