Results 191 to 200 of about 1,036,890 (297)

Hydropower Operations Reduce Alluvial Nesting Habitat and Alter Riverine Turtle Population Demographics

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Hydropower management has altered discharge regimes of large rivers worldwide, reducing sediment mobilization and early‐seral conditions essential for many riverine species. Spiny softshell turtles (Apalone spinifera) rely on alluvial habitats for nesting and may serve as sentinel species to assess the effects of regulated flow regimes and ...
Kayhan Ostovar   +6 more
wiley   +1 more source

Using Deep Learning AI to Detect Riparian Vegetation Recovery Following a Major Flood in the Brisbane River

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Post‐flood riparian vegetation recovery demands significant attention; however, the complexity of traditional remote sensing methods often hinders environmental managers from implementing rapid vegetation monitoring. This paper developed a model using a Deep Learning Model within ArcGIS to classify and detect recovery of vegetation with high ...
Sydney O'Hare, Jinghan Li, Yongping Wei
wiley   +1 more source

Cloud-native infrastructure

open access: yes
D2.2 will describe and demonstrate a K8s -powered NFVI, applicable to the 5G-EPICENTRE testbeds.
openaire   +1 more source

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner   +21 more
wiley   +1 more source

On the compatibility of single‐scan terrestrial LiDAR with digital photogrammetry and field inventory metrics of vegetation structure in forest and agroforestry landscapes

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
The single‐scan approach to terrestrial laser scanning (TLS) and the self‐terrain‐normalized form of drone‐based digital aerial photogrammetry (DAP) offer practical options for rapid assessment of the vegetation structure in tropical landscapes.
Magnus Onyiriagwu   +7 more
wiley   +1 more source

Modelling forest dynamics using integral projection models and repeat lidar

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Forests are facing increasing pressure from climate change and disturbance, yet linking individual tree trajectories to whole‐forest outcomes remains a major challenge. Our study integrates repeat airborne lidar with an Integral Projection Model to analyse demographic processes at the landscape scale.
Alice Rosen   +9 more
wiley   +1 more source

Evaluating land–sea linkages using land cover change and coral reef monitoring data: A case study from northeastern Puerto Rico

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Land cover change that leads to increased nutrient and sediment runoff is an important driver of change in coral reef ecosystems. In this study, we combined satellite remote sensing and field monitoring to assess concomitant changes in watershed land cover and coral cover in northeastern Puerto Rico in 2000–2015.
Pirta Palola   +5 more
wiley   +1 more source

Retrospective image analysis for long‐term demography using Google Earth imagery

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution Google Earth imagery, combined with minimal field validation, enables retrospective tracking of individual invasive plants. The image shows one of the monitored individuals of Opuntia sp. in Greece. Our approach reveals long‐term demographic patterns, recruitment dynamics, and spatial expansion without continuous ...
Erola Fenollosa   +2 more
wiley   +1 more source

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