Analyzing Post-fire Vegetation Dynamics with Ultra-high Resolution Remote Sensing Data
Monitoring post-fire vegetation dynamics is essential for understanding forest recovery processes and informing management strategies. UAV-based ultra-high resolution multi-temporal imagery, combined with the Structure-from-Motion andMulti-View Stereo (SfM-MVS) workflow, provides a cost-effective an...
Saved in:
| Main Authors: | O. Petrov, A. Medvedev |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1189/2025/isprs-archives-XLVIII-G-2025-1189-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
High‐resolution remote sensing for quantifying vegetation structure as avian habitat
by: Seth Harju, et al.
Published: (2025-03-01) -
Scale effects in mangrove mapping from ultra-high-resolution remote sensing imagery
by: Hanwen Zhang, et al.
Published: (2025-02-01) -
Large-scale Thematic Mapping of Volcanic Domes in Armenia Based on Ultra-high Resolution Data
by: A. Ponomareva, et al.
Published: (2025-07-01) -
Ultra-High Spatial Resolution Mapping of Urban Forest Canopy Height With Multimodal Remote Sensing Data and Deep Learning Method
by: Kun Xiao, et al.
Published: (2025-01-01) -
DE-Unet: Dual-Encoder U-Net for Ultra-High Resolution Remote Sensing Image Segmentation
by: Ye Liu, et al.
Published: (2025-01-01)