Dynamic Detection of Forest Change in Hunan Province Based on Sentinel-2 Images and Deep Learning

Dynamic Detection of Forest Change in Hunan Province Based on Sentinel-2 Images and Deep Learning

Dynamic detection of forest change is the fundamental method of monitoring forest resources and an essential means of preserving the accuracy and timeliness of forest land resource data. This study focuses on a deep learning-based method for dynamic forest change detection using Sentinel-2 satellite...

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Bibliographic Details
Main Authors: Jun Xiang, Yuanjun Xing, Wei Wei, Enping Yan, Jiawei Jiang, Dengkui Mo
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Remote Sensing
Subjects:
dynamic detection
forest change
deep learning
Sentinel-2
Hunan Province
Online Access:https://www.mdpi.com/2072-4292/15/3/628

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