SATELLITE IMAGE PROCESSING IN INDETIFYING OF DEFORESTATION OR SALTY LANDS BY USING AI

Authors

  • Berdiyev Alisher Author
  • Xalikova Madina Shukhratovna Author

Keywords:

launch technology, Planet Labs, Kaggle, satellite, applications, model, precision.

Abstract

Landslides are among the most dangerous and complicated natural hazards, resulting in severe destruction, natural resource damage, and human life and property Landslides usually occur in different types, frequencies, and intensities worldwide. Satellite image processing is a powerful tool that can be used to identify deforestation and salty lands. By using AI, we can analyze satellite images to detect changes in vegetation cover, which can indicate deforestation. Additionally, we can use satellite data to identify areas of high salinity in soil, which can help farmers
optimize their irrigation practices. 

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References

Mhatre, A., Mudaliar, N. K., Narayanan, M., Gurav, A., Nair, A., & Nair, A. (2020). Using Deep Learning on Satellite Images to Identify Deforestation/Afforestation.

Investigation and Monitoring Deforestation by Evaluating the Satellite Images. (2021).

A Learning Strategy for Amazon Deforestation Estimations Using Multi-Source Satellite Images. (2021).

Satellite Data Shows Value in Monitoring Deforestation, Forest Degradation. (2019).

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Published

2024-03-20

Issue

Section

Technical Sciences

How to Cite

SATELLITE IMAGE PROCESSING IN INDETIFYING OF DEFORESTATION OR SALTY LANDS BY USING AI. (2024). Innovations in Science and Technologies, 1(1), 30-36. https://innoist.uz/index.php/ist/article/view/142

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