A Near Real-Time Mapping of Tropical Forest Disturbance Using SAR and Semantic Segmentation in Google Earth Engine

A Near Real-Time Mapping of Tropical Forest Disturbance Using SAR and Semantic Segmentation in Google Earth Engine

Satellite-based forest alert systems are an important tool for ecosystem monitoring, planning conservation, and increasing public awareness of forest cover change. Continuous monitoring in tropical regions, such as those experiencing pronounced monsoon seasons, can be complicated by spatially extens...

Full description

Bibliographic Details
Main Authors: John Burns Kilbride, Ate Poortinga, Biplov Bhandari, Nyein Soe Thwal, Nguyen Hanh Quyen, Jeff Silverman, Karis Tenneson, David Bell, Matthew Gregory, Robert Kennedy, David Saah
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
Synthetic Aperture Radar
Sentinel-1
forest disturbance
deep learning
semantic segmentation
U-Net
Online Access:https://www.mdpi.com/2072-4292/15/21/5223

Internet

https://www.mdpi.com/2072-4292/15/21/5223

Similar Items