Land Use Change Assessment Two Ways in SAGA GIS
Contents
Introduction
The purpose of this tutorial is to introduce users to land use change assessment in SAGA GIS. This will be done two ways, in order to help users to choose which is best for their applications. There will be step-by-step instructions on how to use SAGA GIS to do this assessment. This tutorial will be designed for those who have never used SAGA, and each step will be very detailed. If you have used SAGA before you may be able to skip some parts.
Land use change assessment
Land use change assessments can be useful to detect the extent of human influence on natural environment. This is often done by taking two satellite images from different time periods and classifying them, and then calculating the difference between both classified images. ADD MORE INFO.
SAGA GIS
SAGA GIS is a free open source software that can be run under Windows and Linux operating systems. SAGA stands for System for Automated Geoscientific Analysis. According to SAGA's website, it is a GIS that has been designed for an easy and effective implementation of spatial algorithms. It offers a comprehensive, growing set of geoscientifc methods and provides easily approachable user interface with many visualisation options. To learn more about SAGA here is the link to their site.
In order to do the analysis outlined on this page, you will need to download SAGA GIS onto your computer, using the following link SAGA GIS download.
Data
The data used in this tutorial was obtained from Google Earth Engine, and I have provided it below. There are two images, the first is an ortho image of Orleans in 2006, and the second is an ortho image of the same area in 2016. These images were chosen as there is a clear change in land use in the 10 years between the images. There are other sources for finding ortho images, such as Land Viewer, and USGS....
File:Orleans2006.tif ... add data.
Pre Classification Workflow
This is adding the data into SAGA, and setting it all up before classifying.
Classifying the data
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