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

Alisher Berdiyev; Madina Xalikova

Авторы

Alisher Berdiyev Автор
Madina Xalikova Автор

Ключевые слова:

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

Аннотация

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.

Скачивания

Данные по скачиваниям пока не доступны.

Библиографические ссылки

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).