Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Laura Chasmer"'
Publikováno v:
Canadian Journal of Remote Sensing, Vol 50, Iss 1 (2024)
Monitoring aboveground biomass (AGB) is critical for carbon reporting and quantifying ecosystem change. AGB from field data can be scaled to the region using airborne lidar. However, lidar-based AGB products emphasize upland forests, which may not re
Externí odkaz:
https://doaj.org/article/d1052cbe3263450fa3284e693dd4ef62
Delineating and Reconstructing 3D Forest Fuel Components and Volumes with Terrestrial Laser Scanning
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4778 (2023)
Predictive accuracy in wildland fire behavior is contingent on a thorough understanding of the 3D fuel distribution. However, this task is complicated by the complex nature of fuel forms and the associated constraints in sampling and quantification.
Externí odkaz:
https://doaj.org/article/488aa66e94854295b4f5c0349bc92624
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 1, Pp 1-4 (2022)
Externí odkaz:
https://doaj.org/article/c11fff2af1824b67a8dbd38ef7e35a09
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5080 (2022)
Pre- and post-fire airborne lidar data provide an opportunity to determine peat combustion/loss across broad spatial extents. However, lidar measurements of ground surface elevation are prone to uncertainties. Errors may be introduced in several ways
Externí odkaz:
https://doaj.org/article/c0d01c87896448a7b70d552327ad59fd
Publikováno v:
Atmosphere, Vol 13, Iss 1, p 112 (2022)
Wildland fires and anthropogenic disturbances can cause changes in vegetation species composition and structure in boreal peatlands. These could potentially alter regeneration trajectories following severe fire or through cumulative impacts of climat
Externí odkaz:
https://doaj.org/article/82d8c04f80ef48278f6a82fef638567d
Autor:
Laura Chasmer, Danielle Cobbaert, Craig Mahoney, Koreen Millard, Daniel Peters, Kevin Devito, Brian Brisco, Chris Hopkinson, Michael Merchant, Joshua Montgomery, Kailyn Nelson, Olaf Niemann
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1320 (2020)
Wetlands have and continue to undergo rapid environmental and anthropogenic modification and change to their extent, condition, and therefore, ecosystem services. In this first part of a two-part review, we provide decision-makers with an overview on
Externí odkaz:
https://doaj.org/article/7642ca24550749768724b66f734fbde0
Autor:
Laura Chasmer, Craig Mahoney, Koreen Millard, Kailyn Nelson, Daniel Peters, Michael Merchant, Chris Hopkinson, Brian Brisco, Olaf Niemann, Joshua Montgomery, Kevin Devito, Danielle Cobbaert
Publikováno v:
Remote Sensing, Vol 12, Iss 8, p 1321 (2020)
The following review is the second part of a two part series on the use of remotely sensed data for quantifying wetland extent and inferring or measuring condition for monitoring drivers of change on wetland environments. In the first part, we introd
Externí odkaz:
https://doaj.org/article/8712fa7de5b849aaa0fb76857cec8fac
Publikováno v:
Ecosphere, Vol 6, Iss 1, Pp 1-17 (2015)
Quantifying variability of forested riparian buffer (FRB) vegetation structure with variation in adjacent land use supports an understanding of how anthropogenic disturbance influences the ability of riparian systems to perform ecosystem services. Ho
Externí odkaz:
https://doaj.org/article/db269cee542e451fb434971d55855b11
Autor:
Craig Mahoney, Natascha Kljun, Sietse O. Los, Laura Chasmer, Jorg M. Hacker, Christopher Hopkinson, Peter R. J. North, Jacqueline A. B. Rosette, Eva van Gorsel
Publikováno v:
Remote Sensing, Vol 6, Iss 10, Pp 10051-10069 (2014)
We present a novel technique to infer ground slope angle from waveform LiDAR, known as the independent slope method (ISM). The technique is applied to large footprint waveforms (\(\sim\) mean diameter) from the Ice, Cloud and Land Elevation Satellite
Externí odkaz:
https://doaj.org/article/3352db413e284dabac02abae07efc225
Autor:
Joshua Montgomery, Brian Brisco, Laura Chasmer, Kevin Devito, Danielle Cobbaert, Chris Hopkinson
Publikováno v:
Remote Sensing, Vol 11, Iss 2, p 161 (2019)
The objective of this study was to develop a decision-based methodology, focused on data fusion for wetland classification based on surface water hydroperiod and associated riparian (transitional area between aquatic and upland zones) vegetation comm
Externí odkaz:
https://doaj.org/article/d54f61a76875421db07ea65da9348bc5