Proven Wildfire Science & Technology Solutions
At Technosylva, we work with wildfire agencies and electrical utilities to operationalize fire science. We amplify the importance of visualizing the science and making it readily accessible to those in the field. We vigorously test the validity of forecasting wildfire risk and spread predictions in real-world applications. Technosylva believes in advancing wildfire science since its founding in 1997. In 2020 and 2021 alone, Technosylva participated in over 30 peer-reviewed publications in scientific journals.
Check out some publications and collaborations below.
Integrated graph measures reveal survival likelihood for buildings in wildfire events
September 2022 • Akshat Chulahwat, Hussam Mahmoud, Santiago Monedero, Francisco Jośe Diez Vizcaíno, Joaquin Ramirez, David Buckley & Adrián Cardil Forradellas
ViewCharacterizing the Rate of Spread of Wildfires in Emerging Fire Environments of Northwestern Europe
March 2022 • Victor Mario Tapia, Santiago Monedero, Kerryn Little, Sergio de-Miguel, Cathelijne Stoo5, and Adrián Cardíl
ViewTreetop: A Shiny-based application and R package for extracting forest information from LiDAR data for ecologists and conservationists
February 2022 • Carlos Alberto Silva, Andrew T. Hudak, Lee A. Vierling,Ruben Valbuena, Adrian Cardil, Midhun Mohan, Danilo Roberti Alves de Almeida, Eben N. Broadbent, Angelica M. Almeyda Zambrano, Ben Wilkinson, Ajay Sharma, Jason B. Drake, Paul B. Medley, Jason G. Vogel, Gabriel Atticciati Prata, Jeff W. Atkins, Caio Hamamura, Daniel J. Johnson, Carine Klauberg
ViewRemotely Sensed Tree Characterization in Urban Areas: A Review
December 2021 • Luisa Velasquez-Camacho, Adrián Cardil, Midhun Mohan, Maddi Etxegarai, Gabriel Anzaldi and Sergio de-Miguel
ViewEstimating total fuel load in tropical savanna using NASA’s GEDI spaceborne lidar and machine learning
December 2021 • Leite, Rodrigo Silva, Carlos Alberto Broadbent, Eben Amaral, Cibele Liesenberg, Verado Almeida, Danilo Mohan, Midhun Godinho, Sergio Cardil, Adrian Hamamura, Caio Faria, Bruno Brancalion, Pedro Hirsch, André Marcatti, Gustavo Dalla-Corte, Ana Paula Zambrano, Angelica Costa, Máira Matricardi, Eraldo Silva, Anne Goya, Lucas Ré Y Valbuena, Rubén Mendonça, Bruno Silva-Júnior, Celso Aragão, Luiz García, Mariano Liang, Jinjing Merrick, Trina Hudak, Andrew Xiao, Jingfeng Hancock, Steven Saatchi, Sassan Klauberg, Carine
ViewFire behavior modeling for operational decision-making
October 2021 • Adrián Cardil, Santiago Monedero, Gavin Schag, Sergio de-Miguel, Mario Tapia, Cathelijine R. Stoof, Carlos A. Silva, Midhun Mohan, Alba Cardil, Joaquin Ramirez
ViewIndividual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners
September 2021 • Midhun Mohan, et al.
ViewUAV-Supported Forest Regeneration: Current Trends, Challenges and Implications
July 2021 • Midhun Mohan, Gabriella Richardson, Gopika Gopan, Matthew Mehdi Aghai, Shaurya Bajaj, G. A. Pabodha Galgamuwa, Mikko Vastaranta, Pavithra S. Pitumpe Arachchige, Lot Amorós, Ana Paula Dalla Corte, Sergio de-Miguel, Rodrigo Vieira Leite, Mahlatse Kganyago, Eben North Broadbent, Willie Doaemo. Mohammed Abdullah Bin Shorab and Adrian Cardil
ViewDo climate teleconnections modulate wildfire-prone conditions over the Iberian Peninsula?
April 2021 • Marcos Rodrigues, Dhais Peña-Angulo, Ana Russo, María Zúñiga-Antón and Adrián Cardil
ViewCALIFORNIA 2020: Worst Fire Season Ever, Again. Now What? An effort to dissect the California Fire Quilt
January 2021 • Joaquin Ramirez
ViewRegional Level Data Server for Fire Hazard Evaluation and Fuel Treatments Planning
December 2020 • Goran Krsnik, Eduard Busquets Olivé, Míriam Piqué Nicolau, Asier Larrañaga, Adrián Cardil, Jordi García-Gonzalo and José Ramón González Olabarría
ViewEstablishing Propagation Nodes as a Basis for Preventing Large Wildfires: The Proposed Methodology
December 2020 • Raúl Quílez1, Luz Valbuena, Jordi Vendre, Kathleen Uytewa, and Joaquín Ramirez
ViewCoupled effects of climate teleconnections on drought, Santa Ana winds and wildfires in southern California
October 2020 • Adrián Cardil, Marcos Rodrigues, Joaquin Ramirez, Sergio de-Miguel, Carlos A. Silva, Michela Mariani, Davide Ascoli
ViewA Bespoke Workflow Management System for Data-Driven Urgent HPC
October 2020 • Gordon P. S. Gibb, Nick Brown, Rupert W, Nash, Miguel Mendes, Santiago Monedero, Humberto Díaz Fidalgo, Joaquín Ramírez Cisneros, Adrián Cardil, Max Kontak
ViewA Live Fuel Moisture Content Product from Landsat TM Satellite Time Series for Implementation in Fire Behavior Models
May 2020 • Mariano García, David Riaño, Marta Yebra, Javier Salas, Adrián Cardil, Santiago Monedero, Joaquín Ramirez, Pilar Martín, Lara Vilar, John Gajardo, Susan Ustin
ViewHow does drought impact burned area in Mediterranean vegetation communities?
July 2019 • A. Cardil, C. Vega-García, D. Ascoli, D.M. Molina-Terrén, C.A. Silva, M. Rodrigues
ViewStochastic decision trigger modeling to assess the probability of wildland fire impact
July 2019 • J. Ramirez, S. Monedero, C.A. Silva, A. Cardil
ViewAdjusting the rate of spread of fire simulations in real-time
January 2019 • Adrián Cardil, Santiago Monedero, Carlos Alberto Silvac, Joaquín Ramirez
ViewPredicting fire spread and behavior on the fireline. Wildfire analyst pocket: A mobile app for wildland fire prediction
November 2018 • Santiago Monedero, Joaquin Ramirez, Adrián Cardila
ViewAssessing and reinitializing wildland fire simulations through satellite active fire data
October 2018 • Adrián Cardila, Santiago Monedero, Joaquin Ramírez, Carlos Alberto Silva
ViewUnraveling the Complexity of Wildland Urban Interface Fires
June 2018 • Hussam Mahmoud, Akshat Chulahwat
ViewAssessing Pine Processionary Moth Defoliation Using Unmanned Aerial Systems
October 2017 • Adrián Cardil, Udayalakshmi Vepakomma, Lluis Brotons
ViewSimulating wildfires backwards in time from the final fire perimeter in point-functional fire models
February 2017 • S. Monedero, J. Ramirez, D. Molina-Terren, A. Cardil
ViewNew Approaches in Fire Simulations Analysis with Wildfire Analyst
May 2011 • Joaquin Ramírez, David Buckley
ViewUS Forest Service Missoula Fire Sciences Lab & Rocky Mountain Research Station
Technosylva works with the US Forest Service Missoula Fire Sciences Lab, the Rocky Mountain Research Station, and many other scientists to perform fire behavior calculations. Some projects include high resolution wind modeling, safety zone research, high resolution Lidar for fuels mapping, and making NFDR’s operational with active incidents.
ViewVisual Exploration and Sampling Toolkit for Extreme Computing (VESTEC)
VESTEC Visual Exploration and Sampling Toolkit for Extreme Computing advancing simulation science
ViewFIRE-RES
FIRE-RES developing an integrated fire management strategy to efficiently and effectively address extreme wildfire events in Europe.
ViewSan Jose State University, Wildfire Interdisciplinary Research Center
Technosylva is a full board member on the San José State University’s NSF Wildfire Interdisciplinary Research Center, which is driving wildfire research based on public safety requirements.
ViewMaster Fuego
Technosylva provides academic and technical support to Master Fuego, the first MSc program in Europe, active since 2010. A consortium of four universities in Spain advancing forest fire and management disciplines.
View