Results 41 to 50 of about 1,901,008 (301)

Cross-Comparison of Individual Tree Detection Methods Using Low and High Pulse Density Airborne Laser Scanning Data

Remote Sensing, 2022
Numerous individual tree detection (ITD) methods have been developed for use with airborne laser scanning (ALS) data to provide tree-scale forest inventories across large spatial extents.
Aaron M. Sparks, Mark V. Corrao, Alistair M. S. Smith   +2 more
doaj   +1 more source

Fire Drivers Affecting Forest Fire Occurrences in the Tropical Mixed Broad-leaved Forests of Nepal

Applied Environmental Research, 2021
Forest fires triggered by various natural and anthropogenic drivers are increasing and threatening forest ecosystems across the globe. In Nepal, the high value Tropical Mixed Broad-leaved Forests are prone to fire caused by both natural and ...
Krishna Bahadur Bhujel, Rejina Maskey Byanju, Ambika P. Gautam, Ramesh Prasad Sapkota, Udhab Raj Khadka   +4 more
doaj   +7 more sources

A Case Study of Nitrogen Saturation in Western U.S. Forests

The Scientific World Journal, 2001
Virtually complete nitrification of the available ammonium in soil and nitrification activity in the forest floor are important factors predisposing forests in the San Bernardino Mountains of southern California to nitrogen (N) saturation.
Mark E. Fenn, Mark A. Poth
doaj   +1 more source

Prediction of Fire Propagation in Forest Areas using Genetic Algorithm [PDF]

ITM Web of Conferences, 2020
Forest fire causes significant damages to environment and living organisms. It becomes troublesome to recover from the consequences of forest fire. The early and accurate prediction of forest fire propagation in forest area will help in fire management ...
Amol Dhumal Rashmi
doaj   +1 more source

Forest Fire Occurrence Prediction in China Based on Machine Learning Methods

Remote Sensing, 2022
Forest fires may have devastating consequences for the environment and for human lives. The prediction of forest fires is vital for preventing their occurrence.
Yongqi Pang, Yudong Li, Zhongke Feng, Zemin Feng, Ziyu Zhao, Shilin Chen, Hanyue Zhang   +6 more
semanticscholar   +1 more source

Characterization of wildland-urban interfaces for fire prevention in the province of Valencia (Spain)

Forest Systems, 2013
Aim of study. The present study is the first attempt to characterize and map wildland-urban interfaces (WUIs) in eastern Spain (province of Valencia) and its relationship with wildfire occurrence. Area of study. The study area is located in eastern Spain
J. Madrigal Olmo, J.A. Ruiz, R. Planelles, C. Hernando   +3 more
doaj   +1 more source

Forest fire detection system using wireless sensor networks and machine learning

Scientific Reports, 2021
Forest fires have become a major threat around the world, causing many negative impacts on human habitats and forest ecosystems. Climatic changes and the greenhouse effect are some of the consequences of such destruction.
U. Dampage, Lumini Bandaranayake, Ridma Wanasinghe, Kishanga Kottahachchi, Bathiya Jayasanka   +4 more
semanticscholar   +1 more source

History and overview of research and development for Ontario’s FireGUARD decision support system for appropriate response

The Forestry Chronicle
Research and development for a real-time wildfire decision support system was undertaken to support appropriate response decision-making in Ontario, Canada.
Colin B. McFayden, Den Boychuk, Jordan Evens, Darren McLarty, Aaron Stacey, Dan Leonard, Jerry Shields   +6 more
doaj   +1 more source

Incorporating Short-Term Forecast Mean Winds and NWP Maximum Gusts into Effective Wind Speed for Extreme Weather-Aware Wildfire Spread Prediction

Fire
Because wildfire spread is strongly influenced by instantaneous gusts, models that use only mean wind speed typically underestimate spread. In contrast, incorporating suppression effects often leads to overestimation.
Seungmin Yoo, Sohyun Lee, Chungeun Kwon, Sungeun Cha   +3 more
doaj   +1 more source

Developing the US Wildland Fire Decision Support System

Journal of Combustion, 2011
A new decision support tool, the Wildland Fire Decision Support System (WFDSS) has been developed to support risk-informed decision-making for individual fires in the United States.
Erin K. Noonan-Wright, Tonja S. Opperman, Mark A. Finney, G. Thomas Zimmerman, Robert C. Seli, Lisa M. Elenz, David E. Calkin, John R. Fiedler   +7 more
doaj   +1 more source