Calculating the Vegetation-to-Ruilding Ratio in an Urban Environment Using Remote Sensing Images and Artificial Neural Network. A Case Study from Sofia, Bulgaria

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Calculating the Vegetation-to-Ruilding Ratio in an Urban Environment Using Remote Sensing Images and Artificial Neural Network. A Case Study from Sofia, Bulgaria

Stoev, Ivan / Uzunova, Elitza

Vegetation is particularly important in urban environments because it is linked to human health and enhances quality of life. In this paper, we discuss the process of vegetation estimation in urban environments from satellite imagery and aim to create a method to estimate vegetation cover using publicly available satellite imagery, open-source software, and libraries. We also looked at computational resources. Our goal is to create a method that can be trained and used on an average workstation.

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Title :

Calculating the Vegetation-to-Ruilding Ratio in an Urban Environment Using Remote Sensing Images and Artificial Neural Network. A Case Study from Sofia, Bulgaria

Contributors:

Stoev, Ivan (author) / Uzunova, Elitza (author)

Published in:

2023 10th International Conference on Recent Advances in Air and Space Technologies (RAST) ; 1-5

Publication date :

2023-06-07

Size :

1000992 byte

ISBN :

979-8-3503-2302-3 , 979-8-3503-2301-6

DOI :

https://doi.org/10.1109/RAST57548.2023.10197955