Adam K. Kochanski

According to our database, Adam K. Kochanski authored at least 14 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed Spacecraft with Heuristic Intelligence to Monitor Wildfire Spread for Responsive Control.

Sreeja Nag, Vinay Ravindra, Richard Levinson, Mahta Moghaddam, Kurtis Nelson, Jan Mandel, Adam K. Kochanski, Angel Farguell Caus, Amer Melebari, Archana Kannan, Ryan Ketzner

Proceedings of the IGARSS 2024, 2024

2023

Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts.

Bryan Shaddy, Deep Ray, Angel Farguell, Valentina Calaza, Jan Mandel, James Haley, Kyle Hilburn, Derek V. Mallia, Adam K. Kochanski, Assad A. Oberai

CoRR, 2023

Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks.

Jan Mandel, J. Hirschi, Adam K. Kochanski, Angel Farguell, J. Haley, Derek V. Mallia, Bryan Shaddy, Assad A. Oberai, Kyle A. Hilburn

CoRR, 2023

2022

Errors in the Estimation of Leaf Area Density From Aerial LiDAR Data: Influence of Statistical Sampling and Heterogeneity.

Maryia Halubok, Adam K. Kochanski, Rob Stoll, Brian N. Bailey

IEEE Trans. Geosci. Remote. Sens., 2022

Towards a Dynamic Data Driven Wildfire Digital Twin (WDT): Impacts on Deforestation, Air Quality and Cardiopulmonary Disease.

Milton Halem, Adam K. Kochanski, Jan Mandel, Jennifer Sleeman, Belay Demoz, Adam Bargteil, Shreya Uday Patil, Samit Shivadekar, A. Iorga, John Dorband, James MacKinnon, Sen Chiao, Zhifeng Yang, Yaacov Yesha, John Sorkin, Eugenia Kalnay, S. Safa, C. Da

Proceedings of the Dynamic Data Driven Applications Systems - 4th International Conference, 2022

2021

Machine Learning Estimation of Fire Arrival Time from Level-2 Active Fires Satellite Data.

Angel Farguell, Jan Mandel, James Haley, Derek V. Mallia, Adam K. Kochanski, Kyle Hilburn

Remote. Sens., 2021

Simple finite elements and multigrid for efficient mass-consistent wind downscaling in a coupled fire-atmosphere model.

Jan Mandel, Angel Farguell, Adam K. Kochanski, Derek V. Mallia, Kyle Hilburn

CoRR, 2021

2019

An Interactive Data-Driven HPC System for Forecasting Weather, Wildland Fire, and Smoke.

Jan Mandel, Martin Vejmelka, Adam K. Kochanski, Angel Farguell, James Haley, Derek V. Mallia, Kyle Hilburn

Proceedings of the 2019 IEEE/ACM HPC for Urgent Decision Making, 2019

2018

Data Likelihood of Active Fires Satellite Detection and Applications to Ignition Estimation and Data Assimilation.

James Haley, Angel Farguell Caus, Adam K. Kochanski, Sher Schranz, Jan Mandel

CoRR, 2018

Assimilation of Fire Perimeters and Satellite Detections by Minimization of the Residual in a Fire Spread Model.

Angel Farguell Caus, James Haley, Adam K. Kochanski, Ana Cortés Fité, Jan Mandel

Proceedings of the Computational Science - ICCS 2018, 2018

2012

Assimilation of Perimeter Data and Coupling with Fuel Moisture in a Wildland Fire-Atmosphere DDDAS.

Jan Mandel, Jonathan D. Beezley, Adam K. Kochanski, Volodymyr Y. Kondratenko, Minjeong Kim

Proceedings of the International Conference on Computational Science, 2012

Data management and analysis with WRF and SFIRE.

Jonathan D. Beezley, Mavin Martin, Paul Rosen, Jan Mandel, Adam K. Kochanski

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011

A wildland fire modeling and visualization environment

Jan Mandel, Jonathan D. Beezley, Adam K. Kochanski, Volodymyr Y. Kondratenko, Lin Zhang, Erik W. Anderson, Joel Daniels II, Cláudio T. Silva, Christopher R. Johnson

CoRR, 2011

Simulation of the 2009 Harmanli Fire (Bulgaria).

Georgi Jordanov, Jonathan D. Beezley, Nina Dobrinkova, Adam K. Kochanski, Jan Mandel, Bedrich Sousedík

Proceedings of the Large-Scale Scientific Computing - 8th International Conference, 2011