Results 51 to 60 of about 16,959 (229)

Coherence‐Gated Wrapped‐Phase InSAR With Matrix‐Based Uncertainty Diagnostics for Burial‐Mound Hotspot Ranking (Sicily, Italy)

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino   +2 more
wiley   +1 more source

Multi-hazard risk assessment using GIS in urban areas: a case study for the city of Turrialba, Costa Rica [PDF]

open access: yes, 2002
In the framework of the UNESCO sponsored project on “Capacity Building for Natural Disaster Reduction” a case study was carried out on multi-hazard risk assessment of the city of Turrialba, located in the central part of Costa Rica.
Badilla Coto, Elena   +3 more
core   +2 more sources

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

open access: yesGeological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi   +3 more
wiley   +1 more source

Marine litter can shift sea turtle nests toward the shoreline

open access: yesOikos, EarlyView.
Marine litter is an emerging threat to sea turtle rookeries, yet its effects on nesting behaviour remain poorly understood. In this study, we investigated how macro‐litter accumulation on beaches influences the spatial distribution of loggerhead turtle Caretta caretta nests on Boa Vista Island, Cabo Verde.
Diana Sousa‐Guedes   +4 more
wiley   +1 more source

Varied motivations for secondary forest reclearing among landholders make forest persistence challenging

open access: yesPeople and Nature, EarlyView.
Abstract Remote sensing studies show that ephemeral forest regeneration is widespread in the tropics, limiting the climate and biodiversity benefits from net increases in forest cover. Socioeconomic, biophysical and landscape variables can help explain the spatial distribution of reforestation reversals.
Francis H. Joyce
wiley   +1 more source

A Novel Method for Digital Orthophoto Generation from Top View Constrained Dense Matching

open access: yesRemote Sensing, 2022
The digital orthophoto is an image with both map geometric accuracy and image characteristics, which is commonly used in geographic information systems (GIS) as a background image. Existing methods for digital orthophoto generation are generally based on
Zhihao Zhao, Guang Jiang, Yunsong Li
doaj   +1 more source

Investigating Full-Waveform Lidar Data for Detection and Recognition of Vertical Objects [PDF]

open access: yes, 2007
A recent innovation in commercially-available topographic lidar systems is the ability to record return waveforms at high sampling frequencies. These “full-waveform” systems provide up to two orders of magnitude more data than “discrete-return” systems ...
Parrish, Christopher, Scarpace, Frank L
core   +2 more sources

Meander‐Bend Erosion Dynamics Along a Gravel‐Bed River: Insights From Short‐Term UAV Monitoring

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Riverbank erosion is a natural process in meandering rivers that contributes to sediment supply and geomorphic diversity, yet it can threaten infrastructure and human activities within the floodplain. Recently, many studies have used high‐resolution remote sensing technologies to measure bank erosion, but they often focus on technical aspects ...
Katarina Pavlek   +2 more
wiley   +1 more source

Research on River-lake Demarcation Technology Fusing Radar Point Cloud andOrthophoto

open access: yesRenmin Zhujiang, 2020
In the demarcation of rivers, lakes and water conservancy projects, whenthe airborne lidar point cloud data is used alone to automatically filter andclassify, low vegetation points are easily misclassified and misjudged as groundpoints,affected by the ...
XIA Zuwei, RONG Lihui
doaj  

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law   +10 more
wiley   +1 more source

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