Satellite Data and Aerial Photography
This guide includes an introduction to the basic overview of satellite remote sensing data, methods of obtaining commonly used satellite remote sensing data and data processing methods. It includes the data downloading methods of Landsat and Sentinel and the calculation of the Normalized Difference Vegetation (NDVI) to determine the density of green plants within a piece of land.
The guide consists of three main parts. The first and second parts including the data sources of the two commonly used remote sensing data, Landsat and sentinel, comparison of their advantages and characteristics, common software for processing remote sensing data and download methods. The third part focuses on the application of satellite remote sensing data in research, including an introduction to the concept of satellite remote sensing index NDVI, possible scenarios and calculation methods for application in urban design and social sciences.
By the end of this guide, you will have an overview of satellite remote sensing data and you will have gained a new approach to analysing urban problems and the current situation.