Evaluating Land Use and Ecological Patterns in Xiong’an New Area of China with Machine Learning Methodology

Evaluating Land Use and Ecological Patterns in Xiong’an New Area of China with Machine Learning Methodology

The Xiong’an New Area, following the precedent of the Shenzhen Special Economic Zone and Shanghai Pudong New Area, marks a significant development. This study introduces a method to optimize the feature variable selection for Sentinel-2 images from 2016 to 2022, aiming for precise land-use classific...

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Bibliographic Details
Main Authors: Qing Ouyang, Jiayi Pan
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
Xiong’an New Area
land use
sentinel-2 imagery
feature optimization
remote sensing based ecological index
empirical orthogonal function
Online Access:https://www.mdpi.com/2072-4292/16/3/495

Internet

https://www.mdpi.com/2072-4292/16/3/495

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