International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

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Urban Vegetation Health Monitoring using NDVI and Satellite Imagery

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Published 2 April 2026
Updated 2 April 2026

Urban Vegetation Health Monitoring using NDVI and Satellite Imagery

 

 

 

A.Kavya Priya, B. Deepa, K. Phani Sharma, Sr. Asst. Prof. CH. Sushma
Bachelor's in Computer Science and Engineering, AIML, Geethanjali College of Engineering and Technology,Hyderabad, Telangana, India
Senior Assistant Professor, Computer Science, Geethanjali College of Engineering and Technology, Hyderabad,Telangana, India

 

 

 

 

ABSTRACT: In the world we live in today, it is really important to keep an eye on the health of plants and trees. This is because we need to make sure our environment stays healthy and balanced. The old way of checking on plants and trees is to do it by hand, which takes a lot of time and people. With new technology, it is still hard to keep track of the health of plants and trees in big cities. To make this easier, we need to use computers and satellites to help us. In this project, we made a system to check on the health of plants and trees in cities using satellites. We use pictures from satellites like Sentinel-2 and Landsat to see how healthy the plants and trees are. The system looks at kinds of data from these pictures and uses something called the Normalised Difference Vegetation Index to figure out how healthy the plants and trees are. By looking at the data from the satellites all the time and making maps and graphs, we can see how the health of the plants and trees changes. This way is better than the other way because it is fast, covers a big area and is accurate. The Urban Vegetation Health Monitoring system can also be used with systems to help cities make good decisions about the environment and plan for the future. The Urban Vegetation Health Monitoring system is a tool for checking on the health of urban vegetation.Keywords: NDVI, Remote Sensing, Satellite Imagery, Urban Vegetation, Environmental Monitoring, Smart Cities, Machine Learning, DataVisualisation

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