A Holistic High-Resolution Remote Sensing Approach for Mapping Coastal Geomorphology and Marine Habitats DOI Creative Commons
Evagoras Evagorou, Thomas Hasiotis,

Ivan Petsimeris

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1437 - 1437

Published: April 17, 2025

Coastal areas have been the target of interdisciplinary research aiming to support studies related their socio-economic and ecological value role in protecting backshore ecosystems assets from coastal erosion flooding. Some these focus on either onshore or inshore using sensors collecting valuable information that remains unknown untapped by other researchers. This demonstrates how satellite, aerial, terrestrial marine remote sensing techniques can be integrated inter-validated produce accurate information, bridging methodologies with different scope. High-resolution data Unmanned Aerial Vehicle (UAV) multispectral satellite imagery, capturing environment, were utilized extract underwater Coral Bay (Cyprus). These systematically hydroacoustic including bathymetric side scan sonar measurements as well ground-truthing methods such drop camera surveys sample collection. Onshore, digital elevation models derived UAV observations revealed significant shoreline changes over a one-year period, demonstrating clear evidence beach modifications highlighting zone dynamics. Temporal comparisons cross-section analyses displayed variations reaching up 0.60 m. Terrestrial laser scanning along restricted sea cliff at edge captured fine-scale geomorphological arise considerations for stability residential properties top cliff. Bathymetric estimations PlanetScope Sentinel 2 imagery returned accuracies ranging 0.92 1.52 m, whilst reached 1.02 Habitat classification diverse substrates, providing detailed geoinformation existing sediment type distribution. achieved 89% accuracy habitat mapping, outperforming 83% underscoring high-resolution assessments. study emphasizes necessity extracting integrating all available complete mapping would sustainable management strategies.

Language: Английский

Drone LiDAR Occlusion Analysis and Simulation from Retrieved Pathways to Improve Ground Mapping of Forested Environments DOI Creative Commons
Miao Zhang, Christopher Gomez, Yoshinori Shinohara

et al.

Drones, Journal Year: 2025, Volume and Issue: 9(2), P. 135 - 135

Published: Feb. 12, 2025

Drone-mounted LiDAR systems have revolutionized forest mapping, but data quality is often compromised by occlusions caused vegetation and terrain features. This study presents a novel framework for analyzing predicting occlusion patterns in forested environments, combining the geometric reconstruction of flight paths with statistical modeling ground visibility. Using field collected at Unzen Volcano, Japan, we first developed an algorithm to retrieve drone from timestamped pointclouds, enabling post-processing optimization, even when original are unavailable. We then created mathematical model quantify shadow effects obstacles implemented Monte Carlo simulations optimize parameters different stand characteristics. The results demonstrate that lower-altitude flights (40 m) narrow scanning angles achieve highest visibility (81%) require more paths, while higher-altitude wider offer efficient coverage (47% visibility) single paths. For 250 trees per 25 hectares (heights 5–15 m), analysis showed above 90 degrees consistently delivered 46–47% visibility, regardless height. research provides quantitative guidance optimizing surveys though future work needed incorporate canopy complexity seasonal variations.

Language: Английский

Citations

1
A Holistic High-Resolution Remote Sensing Approach for Mapping Coastal Geomorphology and Marine Habitats DOI Creative Commons
Evagoras Evagorou, Thomas Hasiotis,

Ivan Petsimeris

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1437 - 1437

Published: April 17, 2025

Coastal areas have been the target of interdisciplinary research aiming to support studies related their socio-economic and ecological value role in protecting backshore ecosystems assets from coastal erosion flooding. Some these focus on either onshore or inshore using sensors collecting valuable information that remains unknown untapped by other researchers. This demonstrates how satellite, aerial, terrestrial marine remote sensing techniques can be integrated inter-validated produce accurate information, bridging methodologies with different scope. High-resolution data Unmanned Aerial Vehicle (UAV) multispectral satellite imagery, capturing environment, were utilized extract underwater Coral Bay (Cyprus). These systematically hydroacoustic including bathymetric side scan sonar measurements as well ground-truthing methods such drop camera surveys sample collection. Onshore, digital elevation models derived UAV observations revealed significant shoreline changes over a one-year period, demonstrating clear evidence beach modifications highlighting zone dynamics. Temporal comparisons cross-section analyses displayed variations reaching up 0.60 m. Terrestrial laser scanning along restricted sea cliff at edge captured fine-scale geomorphological arise considerations for stability residential properties top cliff. Bathymetric estimations PlanetScope Sentinel 2 imagery returned accuracies ranging 0.92 1.52 m, whilst reached 1.02 Habitat classification diverse substrates, providing detailed geoinformation existing sediment type distribution. achieved 89% accuracy habitat mapping, outperforming 83% underscoring high-resolution assessments. study emphasizes necessity extracting integrating all available complete mapping would sustainable management strategies.

Language: Английский

Citations

0