Question
Asked 11th Sep, 2017

How to perform Land Use Land Cover Change Detection in Python?

I want to see the change in various features like vegetation, water bodies, urban area, wetland etc.  I have Landsat images. How do I perform this change detection using Python?

Most recent answer

2nd Jun, 2019
Tong Hengjian
China University of Geosciences
OPEN SOURCE SOFTWARE OTB has an example about change detection
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Popular Answers (1)

11th Sep, 2017
Geetika Rathee
Wageningen University & Research
There are several ways to do so. The simplest one would be to classify the two images and then compare them so that the output is binary in nature (same land use or not). Gdal and numpy are useful libraries to achieve this.
For the purpose of classification, use machine learning algorithm where you provide a trained spectral signature or index value for each land use type and then perform supervised classification (using, for example, random forest algorithm). 
5 Recommendations

All Answers (5)

11th Sep, 2017
Geetika Rathee
Wageningen University & Research
There are several ways to do so. The simplest one would be to classify the two images and then compare them so that the output is binary in nature (same land use or not). Gdal and numpy are useful libraries to achieve this.
For the purpose of classification, use machine learning algorithm where you provide a trained spectral signature or index value for each land use type and then perform supervised classification (using, for example, random forest algorithm). 
5 Recommendations
12th Sep, 2017
Gilles Vandewiele
Ghent University
2 Recommendations
18th Sep, 2017
Gajanan S Kothawade
Washington State University
What are the requirements for Land Use Land Cover Classification in terms of satellite data? Is it required to have the satellite image atmospherically corrected one?
19th Sep, 2017
Gilles Vandewiele
Ghent University
Hey, I saw a presentation today on your specific problem. It was in the context of a challenge organized at ECML. It works with Landsat images ;)
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