Results 141 to 150 of about 28,687 (254)

Forest Fire Smoke Detection Based on Deep Learning Approaches and Unmanned Aerial Vehicle Images. [PDF]

Sensors (Basel), 2023
Kim SY, Muminov A.
europepmc   +1 more source

Evaluation of Sediment Connectivity Indices to Improve the Prediction of the Spatiotemporal Variability of Sediment Yield for a Large River Basin (Wei River, China)

Land Degradation &Development, EarlyView.
ABSTRACT Sediment connectivity between source areas and the main streams or local sinks is a complex and dynamic process, especially in large basins due to multiple heterogeneities and interactions between connectivity components. Sediment connectivity indices are promising tools to investigate sediment transport, especially in data‐scarce or large ...
Zhenni Wu, Jantiene E. M. Baartman, João Pedro Nunes, Manuel López‐Vicente   +3 more
wiley   +1 more source

Boreal Forest Fire: UAV-collected Wildfire Detection and Smoke Segmentation Dataset. [PDF]

Sci Data
Pesonen J, Raita-Hakola AM, Joutsalainen J, Hakala T, Akhtar W, Koivumäki N, Markelin L, Suomalainen J, Alves de Oliveira R, Pölönen I, Honkavaara E.   +10 more
europepmc   +1 more source

Timing and causes of forest fire at the K-Pg boundary. [PDF]

Sci Rep, 2022
Santa Catharina A, Kneller BC, Marques JC, McArthur AD, Cevallos-Ferriz SRS, Theurer T, Kane IA, Muirhead D.   +7 more
europepmc   +1 more source

Wildfires' Cost for Societal Welfare: Economic Evaluation of Forestry Ecosystem Services Losses in Southern Italy

Land Degradation &Development, EarlyView.
ABSTRACT Forest ecosystem services (ESs) are garnering increasing public attention as awareness grows regarding society's fundamental dependence on them for well‐being. Forest fires, one of the major disturbances of ESs, are becoming more frequent and destructive, exacerbated in part by climate change.
Emanuele Spada, Giacomo Falcone, Salvatore Praticò, Maria Carmela Benedetto, Giovanni Gulisano, Nathalie Iofrida, Anna Irene De Luca   +6 more
wiley   +1 more source

Predicting future forest fire occurrence probability based on drought characteristics at various temporal scales in P. R. China. [PDF]

PLoS One
Shao X, Li C, Chang Y, Xiong Z, Chen H, Li R.   +5 more
europepmc   +1 more source

Real-Time Forest Fire Detection by Ensemble Lightweight YOLOX-L and Defogging Method. [PDF]

Sensors (Basel), 2023
Huang J, He Z, Guan Y, Zhang H.
europepmc   +1 more source

Spatiotemporal Fire Patterns and Post‐fire Forest Change in Peru (2000–2021)

Land Degradation &Development, EarlyView.
ABSTRACT Fire is increasingly more frequent and severe in many tropical regions, leading to significant forest loss, diminished biodiversity, and reduced Nature's contributions to people (NCPs). In this study, we analyzed the spatiotemporal patterns of fire in Peru and its regions, focusing on: (1) burned area, (2) size, and (3) number of fires, using ...
Maricel Móstiga, Dolors Armenteras, Jordi Vayreda, Javier Retana   +3 more
wiley   +1 more source

Forest Fire Detection Algorithm Based on Improved YOLOv11n. [PDF]

Sensors (Basel)
Zhou K, Jiang S.
europepmc   +1 more source

Recent Developments in Sustainable Composites for Printed Circuit Boards (PCBs): A Review

Macromolecular Materials and Engineering, EarlyView.
This review presents the potential of using natural plant fibers and biodegradable polymers as sustainable printed circuit boards (PCBs). This review provides future directions in innovation and sustainable PCBs development. Bio‐composites PCBs are both environmentally friendly and sustainable due to the natural fibres they contain.
Erdem Selver, Ayca Dogrul Selver, Angela Daniela La Rosa, Abu Saifullah, Zhongyi Zhang, Stephen Driver, Jack Herring, Hom Nath Dhakal   +7 more
wiley   +1 more source