Assessing Climate Change Impacts on Cropland and Greenhouse Gas Emissions Using Remote Sensing and Machine Learning

Assessing Climate Change Impacts on Cropland and Greenhouse Gas Emissions Using Remote Sensing and Machine Learning

This study investigated the impact of grassland and cropland expansion on carbon (C) and nitrous oxide (N<sub>2</sub>O) emissions using remote sensing data and machine learning models. The research focused on agricultural land-use changes in South Sumatra from 1992 to 2018, utilizing Lan...

Full description

Saved in:
Bibliographic Details
Main Authors: Nehir Uyar, Azize Uyar
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Atmosphere
Subjects:
remote sensing
machine learning
greenhouse gas emissions
agricultural land use
carbon emissions
Online Access:https://www.mdpi.com/2073-4433/16/4/418
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2073-4433/16/4/418

Similar Items