Results 191 to 200 of about 31,599 (314)

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

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

Soil Nitrogen Transformation Process Influenced by Litterfall Manipulation in Two Subtropical Forest Types. [PDF]

open access: yesFront Plant Sci, 2022
Yan W   +9 more
europepmc   +1 more source

Large‐scale characterization of horizontal forest structure from remote sensing optical images

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Sub‐meter resolution remote sensing data and tree crown segmentation techniques hold promise in offering detailed information that can support the characterization of forest structure from a horizontal perspective, offering new insights in the tree crown structure at scale.
Xin Xu   +12 more
wiley   +1 more source

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