Award Abstract # 1830734
Collaborative Research: Facility Support for Operation of the National Center for Airborne Laser Mapping (NCALM)

NSF Org: EAR
Division Of Earth Sciences
Recipient: UNIVERSITY OF HOUSTON SYSTEM
Initial Amendment Date: August 27, 2018
Latest Amendment Date: August 5, 2024
Award Number: 1830734
Award Instrument: Continuing Grant
Program Manager: Paul Cutler
pcutler@nsf.gov
 (703)292-4961
EAR
 Division Of Earth Sciences
GEO
 Directorate for Geosciences
Start Date: September 1, 2018
End Date: August 31, 2025 (Estimated)
Total Intended Award Amount: $3,262,123.00
Total Awarded Amount to Date: $3,888,006.00
Funds Obligated to Date: FY 2018 = $637,814.00
FY 2019 = $865,354.00

FY 2020 = $775,145.00

FY 2021 = $723,317.00

FY 2022 = $667,390.00

FY 2024 = $218,986.00
History of Investigator:
  • Craig Glennie (Principal Investigator)
    clglennie@uh.edu
  • William Carter (Co-Principal Investigator)
  • Ramesh Shrestha (Co-Principal Investigator)
  • Juan Fernandez Diaz (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Houston
4300 MARTIN LUTHER KING BLVD
HOUSTON
TX  US  77204-3067
(713)743-5773
Sponsor Congressional District: 18
Primary Place of Performance: University of Houston
4800 Calhoun Boulevard
Houston
TX  US  77204-2015
Primary Place of Performance
Congressional District:
18
Unique Entity Identifier (UEI): QKWEF8XLMTT3
Parent UEI:
NSF Program(s): XC-Crosscutting Activities Pro,
Geomorphology & Land-use Dynam,
SPECIAL EMPHASIS PROGRAM,
Archaeology,
Tectonics,
Geophysics,
Instrumentation & Facilities,
ANS-Arctic Natural Sciences
Primary Program Source: 01002425DB NSF RESEARCH & RELATED ACTIVIT
01001819DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT

0100XXXXDB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 019Z, 7570, 1580, 1079
Program Element Code(s): 722200, 745800, 061900, 139100, 157200, 157400, 158000, 528000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050, 47.075

ABSTRACT

This award continues the support of the National Center for Airborne Laser Mapping (NCALM), which is a collaboration between the operational facility at the University of Houston and the data-processing center at the University of California Berkeley. Also known as airborne Light Detection and Ranging (LiDAR), airborne laser mapping allows for the measurement of surface topographic features with very high accuracies and spatial resolution. The data collected are used to construct very detailed digital elevation models (DEM) that offer an unprecedented high-resolution representation of topographic features and illuminate the processes that shape them. Examples include fault scarps, hill slopes, river channels, barrier beaches and sand dunes, mountain and continental glaciers, volcanic edifices and the structure of the forest canopy. This facility gives researchers access to the sophisticated technology and operational support needed to gather the data and the expertise required to convert that data into visual products. DEMs developed from LiDAR have a wide range of applications in civil engineering and hazards assessments to see how much the land surface has moved over a specific time interval, and in archaeological investigations of how past civilizations have modified landscapes, especially in tropical regions where such structures are hidden from view by dense forest cover. NCALM is dedicated to meeting three goals: 1) providing research-quality LiDAR data to the scientific community, 2) advancing the state of the art in airborne laser mapping, and 3) training and educating graduate students to meet the rapidly growing needs of academia, government, and the private sector.

This continuing award will allow NCALM to augment collection platforms with a flexible and portable helicopter-based system, expand the use of multi-wavelength LiDAR and coincident hyperspectral imagery, work with other NSF centers to explore unmanned aircraft, focus on open-source software tools and methodology for change detection between temporally spaced LiDAR collections, and provide workshops and community engagement to disseminate the LiDAR knowledge that NCALM has acquired and developed. Airborne laser systems fire laser pulses at high frequency from an aircraft whose position and orientation are monitored via on-board and ground Global Positioning System (GPS) control and an aircraft Inertial Measurement Unit (IMU). The instrumentation measures the round-trip travel time for individual pulses to reflect from encountered surfaces and return to a detector. Raw travel-time data are combined with position information to generate georeferenced coordinates of each laser return from the surface or "point clouds." The system's high-frequency laser postings allow for penetration of dense vegetative canopies and, with developed post-processing routines, can yield maps of both the upper surface of the vegetative canopy and the bare Earth surface that is obstructed from a bird's-eye view.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 20)
Albright, Andrea and Glennie, Craig "Nearshore Bathymetry From Fusion of Sentinel-2 and ICESat-2 Observations" IEEE Geoscience and Remote Sensing Letters , 2020 10.1109/LGRS.2020.2987778 Citation Details
Barlow, Mary C. and Zhu, Xinxiang and Glennie, Craig L. "Stream Boundary Detection of a Hyper-Arid, Polar Region Using a U-Net Architecture: Taylor Valley, Antarctica" Remote Sensing , v.14 , 2022 https://doi.org/10.3390/rs14010234 Citation Details
Beach, Timothy and Luzzadder-Beach, Sheryl and Krause, Samantha and Guderjan, Tom and Valdez, Fred and Fernandez-Diaz, Juan Carlos and Eshleman, Sara and Doyle, Colin "Ancient Maya wetland fields revealed under tropical forest canopy from laser scanning and multiproxy evidence" Proceedings of the National Academy of Sciences , v.116 , 2019 10.1073/pnas.1910553116 Citation Details
Brown, Rebecca and Hartzell, Preston and Glennie, Craig "Evaluation of SPL100 Single Photon Lidar Data" Remote Sensing , v.12 , 2020 10.3390/rs12040722 Citation Details
Bui, Luyen K. and Glennie, Craig L. "Estimation of lidar-based gridded DEM uncertainty with varying terrain roughness and point density" ISPRS Open Journal of Photogrammetry and Remote Sensing , v.7 , 2023 https://doi.org/10.1016/j.ophoto.2022.100028 Citation Details
Butler, Howard and Chambers, Bradley and Hartzell, Preston and Glennie, Craig "PDAL: An open source library for the processing and analysis of point clouds" Computers & Geosciences , v.148 , 2021 https://doi.org/10.1016/j.cageo.2020.104680 Citation Details
Canuto, Marcello A. and Estrada-Belli, Francisco and Garrison, Thomas G. and Houston, Stephen D. and Acuña, Mary Jane and Ková?, Milan and Marken, Damien and Nondédéo, Philippe and Auld-Thomas, Luke and Castanet, Cyril and Chatelain, David and Chiriboga, "Ancient lowland Maya complexity as revealed by airborne laser scanning of northern Guatemala" Science , v.361 , 2018 10.1126/science.aau0137 Citation Details
Fernandez-Diaz, Juan C. and Cohen, Anna S. "Whose Data Is It Anyway? Lessons in Data Management and Sharing from Resurrecting and Repurposing Lidar Data for Archaeology Research in Honduras" Journal of Computer Applications in Archaeology , v.3 , 2020 10.5334/jcaa.51 Citation Details
Fernandez-Diaz, Juan Carlos and Velikova, Mariya and Glennie, Craig L. "Validation of ICESat-2 ATL08 Terrain and Canopy Height Retrievals in Tropical Mesoamerican Forests" IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , v.15 , 2022 https://doi.org/10.1109/JSTARS.2022.3163208 Citation Details
Hudnut, Kenneth W. and Brooks, Benjamin A. and Scharer, Katherine and Hernandez, Janis L. and Dawson, Timothy E. and Oskin, Michael E. and Ramon Arrowsmith, J. and Goulet, Christine A. and Blake, Kelly and Boggs, Matthew L. and Bork, Stephan and Glennie, "Airborne Lidar and Electro-Optical Imagery along Surface Ruptures of the 2019 Ridgecrest Earthquake Sequence, Southern California" Seismological Research Letters , 2020 10.1785/0220190338 Citation Details
Inomata, Takeshi A. and Triadan, Daniela Carlos and Vázquez López, Verónica Belén and Fernandez-Diaz, Juan and Omori, Takayuki and Méndez Bauer, María and García Hernández, Melina and Beach, Timothy and Cagnato, Clarissa and Aoyama, Kazuo and Nasu, Hiroo "Monumental architecture at Aguada Fénix and the rise of Maya civilization" Nature , 2020 10.1038/s41586-020-2343-4 Citation Details
(Showing: 1 - 10 of 20)

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