Results 231 to 240 of about 95,896 (348)

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

Remote 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, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source

Wind-induced vibration serviceability of ten multi-storey timber buildings. [PDF]

Open Res Eur
Kurent B, Brank B.
europepmc   +1 more source

Evaluation of Errors in Digital Terrain Models generated by High Resolution Satellite Images [PDF]

, 2010
Amirreza Saati
openalex  

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

Remote 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, Nereoh Leley, Caleb W. T. Ngaba, Anthony Macharia, Henry Muchiri, Abdalla Kisiwa, Martin Ehbrecht, Delphine Clara Zemp   +7 more
wiley   +1 more source

FTIR-derived soil degradation indices and stochastic modelling of organic matter-sediment dynamics in a Mediterranean watershed: A Northern Apennines case study. [PDF]

PLoS One
La Licata M, Adeniyi OD, Ellerbrock RH, Bhattarai N, Bosino A, Papke N, Schaller J, Maerker M.   +7 more
europepmc   +1 more source

The effect of correcting the projection error in Digital Terrain Models on Earth surface processes

Anne Voigtländer, Aljoscha Rheinwalt, Stefanie Tofelde   +2 more
openalex   +1 more source

Hyperspectral species maps and LiDAR‐based structured population models show future forest fire frequency may compromise forest resilience

Remote Sensing in Ecology and Conservation, EarlyView.
Monitoring forest recovery from disturbances at scale requires tracking tree dynamics, yet traditional ground‐based approaches are resource‐intensive. We present a pipeline to parameterize integral projection models (IPMs) using LiDAR data and hyperspectral‐based species maps to assess post‐fire recovery across large, forested areas at the Caribou ...
Jessica McLean, Tommaso Jucker, Alice Rosen, Sean M. McMahon, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

Mapping and modelling land degradation vulnerability in a semi-arid region: a case study from Battalgazi District, Turkiye. [PDF]

PeerJ
Kılıç M.
europepmc   +1 more source

Assessment of Interpolation Methods to Generate Terrain Digital Models in Superficial Capitation Sections

, 2019
Bruna Forestieri Bolonhez, B. L. S. MOTTA, Paulo Fernando Soares   +2 more
openalex   +2 more sources

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

Remote 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, Martin Brandt, Xiaowei Tong, Maurice Mugabowindekwe, Yuemin Yue, Sizhuo Li, Qiue Xu, Siyu Liu, Florian Reiner, Kelin Wang, Zhengchao Chen, Yongqing Bai, Rasmus Fensholt   +12 more
wiley   +1 more source