Forest Disturbance Detection via Self-Supervised and Transfer Learning With Sentinel-1&2 Images
In this study, we examine the potential of leveraging self-supervised learning (SSL) and transfer learning methodologies for forest disturbance mapping using Earth Observation (EO) data. Our focus is on natural disturbances caused by windthrow and snowload damages. Particularly, we investigate the p...
| প্রধান লেখক: | , , , , , |
|---|---|
| বিন্যাস: | প্রবন্ধ |
| ভাষা: | English |
| প্রকাশিত: |
IEEE
2024-01-01
|
| মালা: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://ieeexplore.ieee.org/document/10418469/ |