Paul M. Montesano

According to our database, Paul M. Montesano authored at least 18 papers between 2007 and 2024.

Collaborative distances:

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

2024

Surface Reflectance From Commercial Very High Resolution Multispectral Imagery Estimated Empirically With Synthetic Landsat (2023).

Paul M. Montesano, Matthew J. Macander, Jordan A. Caraballo-Vega, Melanie Frost, Christopher S. R. Neigh, Gerald V. Frost, Glenn S. Tamkin, Mark L. Carroll

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Characterizing Fire-Induced Forest Structure and Aboveground Biomass Changes in Boreal Forests Using Multitemporal Lidar and Landsat.

Tuo Feng, Laura Duncanson, Steven Hancock, Paul M. Montesano, Sergii Skakun, Michael A. Wulder, Joanne C. White, David Minor, Tatiana Loboda

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

SatVision-TOA: A Geospatial Foundation Model for Coarse-Resolution All-Sky Remote Sensing Imagery.

Caleb Spradlin, Jordan A. Caraballo-Vega, Jian Li, Mark L. Carroll, Jie Gong, Paul M. Montesano

CoRR, 2024

Vegetation Height Stereo Reconstruction With BlackSky Commercial Frame Camera Imagery.

William C. Wagner, Christopher S. R. Neigh, David E. Shean, Paul M. Montesano, Tiangang Yin, Ameni Mkaouar

Proceedings of the IGARSS 2024, 2024

Spaceborne Lidar and Stereogrammetry Data Fusion to Predict Aboveground Biomass in Tropical Forests.

Rodrigo Vieira Leite, William C. Wagner, Margaret Wooten, Monique Bohora Schlickmann, Carlos Alberto Silva, Cibele Hummel do Amaral, Diogo Nepomuceno Cosenza, Carlos M. M. E. Torres, Ameni Mkaouar, Shashank Bhushan, David E. Shean, Paul M. Montesano, Douglas C. Morton, Christopher S. R. Neigh

Proceedings of the IGARSS 2024, 2024

2023

Large-Scale Distributed Compositing and Statistics Framework For Very-High-Resolution Remote Sensing Imagery.

Caleb Spradlin, Margaret Wooten, Jordan A. Caraballo-Vega, Mark L. Carroll, Christopher S. R. Neigh, Konrad Wessels, Minh Tri Le, Paul M. Montesano, Woubet G. Alemu, Nathan Thomas

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Producing a Science-Ready Commercial Data Archive: A Workflow for Estimating Surface Reflectance for High Resolution Multispectral Imagery.

Paul M. Montesano, Mark L. Carroll, Christopher S. R. Neigh, Matthew J. Macander, Jordan A. Caraballo-Vega, Gerald V. Frost, Glenn S. Tamkin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Multi-Path Fusion: A Hierarchical Machine Learning Approach for Combining Diverse Data Sets for a Forest Monitoring New Observing System.

James MacKinnon, David J. Harding, Mark Moussa, Matt Brandt, Paul M. Montesano, Mark L. Carroll, Randolph H. Wynne, Valerie A. Thomas, Fred Huemmrich, K. Jon Ranson

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Estimating Bare Earth in Sparse Boreal Forests With WorldView Stereo Imagery.

Christopher S. R. Neigh, William C. Wagner, Paul M. Montesano, Margaret Wooten

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Forest Aboveground Biomass Estimation with GEDI and ICESat-2 in Boreal Forests.

Laura Duncanson, Amy Neuenschwander, Carlos Alberto Silva, Paul M. Montesano, Eric Guenther, Nathan Thomas, Steven Hancock, David Minor, Joanne C. White, Mike A. Wulder, John Armston

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2019

LandRS: a Virtual Constellation Simulator for InSAR, LiDAR Waveform and Stereo Imagery Over Mountainous Forest Landscapes.

Wenjian Ni, Guoqing Sun, Kenneth Jon Ranson, Paul M. Montesano, Qinhuo Liu, Zengyuan Li, Vyacheslav I. Kharuk, Zhiyu Zhang

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

An API for Spaceborne Sub-Meter Resolution Products for Earth Science.

Christopher S. R. Neigh, Compton J. Tucker, Mark L. Carroll, Paul M. Montesano, Daniel A. Slayback, Margaret R. Wooten, Alexei I. Lyapustin, David E. Shean, Oleg Alexandrov, Matthew J. Macander

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2016

Calibration and Validation of Landsat Tree Cover in the Taiga-Tundra Ecotone.

Paul Mannix Montesano, Christopher S. R. Neigh, Joseph O. Sexton, Min Feng, Saurabh Channan, Kenneth Jon Ranson, John R. Townshend

Remote. Sens., 2016

2015

Sensor Compatibility for Biomass Change Estimation Using Remote Sensing Data Sets: Part of NASA's Carbon Monitoring System Initiative.

Jacqueline Rosette, Bruce D. Cook, Ross Nelson, Chengquan Huang, Jeffrey G. Masek, Compton J. Tucker, Guoqing Sun, Wenli Huang, Paul M. Montesano, Jérémy Rubio-Gil, K. Jon Ranson

IEEE Geosci. Remote. Sens. Lett., 2015

2014

The Uncertainty of Plot-Scale Forest Height Estimates from Complementary Spaceborne Observations in the Taiga-Tundra Ecotone.

Paul M. Montesano, Guoqing Sun, Ralph Dubayah, Kenneth Jon Ranson

Remote. Sens., 2014

2013

NASA Goddard's LiDAR, Hyperspectral and Thermal (G-LiHT) Airborne Imager.

Bruce D. Cook, Lawrence A. Corp, Ross F. Nelson, Elizabeth M. Middleton, Douglas C. Morton, Joel T. McCorkel, Jeffrey G. Masek, Kenneth Jon Ranson, Vuong Ly, Paul M. Montesano

Remote. Sens., 2013

2012

Best Merge Region-Growing Segmentation With Integrated Nonadjacent Region Object Aggregation.

James C. Tilton, Yuliya Tarabalka, Paul M. Montesano, Emanuel Gofman

IEEE Trans. Geosci. Remote. Sens., 2012

2007

Using MODIS and GLAS data to develop timber volume estimates in central Siberia.

K. Jon Ranson, Ross Nelson, Daniel Kimes, Guoqing Sun, Viatcheslav I. Kharuk, Paul M. Montesano

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007