Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Craig Mahon"'
Autor:
Craig Mahon, Mark E. Cartwright, Ronald D. Snyder, Paul McNamara, Prudence Bradley, John C. Hunter, Richard Morrison, Ying-Ying Zhou, Alan S. Bass
Publikováno v:
Journal of Pharmacological and Toxicological Methods. 60:69-78
Identification of novel new molecules which hold the greatest promise of safe and effective therapies remains a continuous challenge to the pharmaceutical industry. This has led the industry to implement strategies for identification of the most prom
Publikováno v:
Canadian Journal of Remote Sensing, Vol 48, Iss 1, Pp 107-125 (2022)
Airborne LiDAR can support high resolution watershed-scale snow depth mapping that provides the spatial coverage necessary to inform water supply forecasts for mountainous headwaters. This research utilized LIDAR and machine learning to evaluate snow
Externí odkaz:
https://doaj.org/article/053d90e4f9c14cd39ec0a040ad67b564
Autor:
Joshua Montgomery, Craig Mahoney, Brian Brisco, Lyle Boychuk, Danielle Cobbaert, Chris Hopkinson
Publikováno v:
Remote Sensing, Vol 13, Iss 19, p 3878 (2021)
The Prairie Pothole Region (PPR) of North America is an extremely important habitat for a diverse range of wetland ecosystems that provide a wealth of socio-economic value. This paper describes the ecological characteristics and importance of PPR wet
Externí odkaz:
https://doaj.org/article/fd20c203991a440db7a73d2b5564a583
Autor:
Craig Mahoney, Christopher Hopkinson
Publikováno v:
Canadian Journal of Remote Sensing, Vol 43, Iss 4, Pp 345-359 (2017)
This study estimates canopy gap fraction (GF) from Geoscience Laser Altimeter System (GLAS) waveform data retrieved from a cross section of the Australian ecosystem, represented by 4 sites. However, as the literature supports, waveform profiles from
Externí odkaz:
https://doaj.org/article/2fcfe9d00aea4ee6a893716638afd517
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2223 (2020)
Mapping and monitoring surface water features is important for sustainably managing this critical natural resource that is in decline due to numerous natural and anthropogenic pressures. Satellite Synthetic Aperture Radar is a popular and inexpensive
Externí odkaz:
https://doaj.org/article/dd2ec14067d44f0996906c574c6adba2
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
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
Publikováno v:
Remote Sensing, Vol 10, Iss 9, p 1338 (2018)
A methods framework is presented that utilizes field plots, airborne light detection and ranging (LiDAR), and spaceborne Geoscience Laser Altimeter System (GLAS) data to estimate forest attributes over a 20 Mha area in Northern Canada. The framework
Externí odkaz:
https://doaj.org/article/372fadd541ce4ea0b1b0c6cad6bb80dc
Publikováno v:
Remote Sensing, Vol 9, Iss 1, p 59 (2017)
Spaceborne laser altimetry waveform estimates of canopy Gap Fraction (GF) vary with respect to discrete return airborne equivalents due to their greater sensitivity to reflectance differences between canopy and ground surfaces resulting from differen
Externí odkaz:
https://doaj.org/article/16fa70618ea34fbfa3b905797c0a095e