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Nicholas C. Coops
Researcher at University of British Columbia
Publications - 611
Citations - 29281
Nicholas C. Coops is an academic researcher from University of British Columbia. The author has contributed to research in topics: Forest inventory & Lidar. The author has an hindex of 78, co-authored 566 publications receiving 24182 citations. Previous affiliations of Nicholas C. Coops include Commonwealth Scientific and Industrial Research Organisation & Murdoch University.
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Journal ArticleDOI
Essential biodiversity variables
Henrique M. Pereira,Simon Ferrier,Michele Walters,Gary N. Geller,Rob H. G. Jongman,Robert J. Scholes,Michael William Bruford,Neil Brummitt,Stuart H. M. Butchart,A C Cardoso,Nicholas C. Coops,E Dulloo,Daniel P. Faith,Jörg Freyhof,Richard D. Gregory,Carlo H. R. Heip,Robert Höft,George C. Hurtt,Walter Jetz,Daniel S. Karp,Melodie A. McGeoch,David Obura,Yusuke Onoda,Nathalie Pettorelli,Belinda Reyers,Roger Sayre,Joern P. W. Scharlemann,Joern P. W. Scharlemann,Simon N. Stuart,Eren Turak,Matt Walpole,Martin Wegmann +31 more
TL;DR: With the first plenary meeting of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) soon under way, partners are developing—and seeking consensus around—Essential Biod diversity Variables (EBVs) that could form the basis of monitoring programs worldwide.
Journal ArticleDOI
Lidar sampling for large-area forest characterization: A review
Michael A. Wulder,Joanne C. White,Ross Nelson,Erik Næsset,Hans Ole Ørka,Nicholas C. Coops,Thomas Hilker,Christopher W. Bater,Terje Gobakken +8 more
TL;DR: In this article, the authors present the case for using Lidar sampling as a means to enable timely and robust large-area characterizations, and discuss the potential of using lidar in an integrated sampling framework for large area ecosystem characterization and monitoring.
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A new data fusion model for high spatial- and temporal-resolution mapping of forest disturbance based on Landsat and MODIS
Thomas Hilker,Michael A. Wulder,Nicholas C. Coops,Julia Linke,Greg McDermid,Jeffrey G. Masek,Feng Gao,Joanne C. White +7 more
TL;DR: In this article, a new data fusion model for producing synthetic imagery and the detection of changes termed Spatial Temporal Adaptive Algorithm for mapping Reflectance Change (STAARCH) is introduced.
Journal ArticleDOI
Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests
TL;DR: In this paper, the capacity of current airborne and ground-based ranging systems to provide data from which useful forest inventory parameters can be derived is investigated and four contrasting study sites were established within an existing study area in the Bago and Maragle State Forests, New South Wales, Australia.
Journal ArticleDOI
Remote Sensing Technologies for Enhancing Forest Inventories: A Review
Joanne C. White,Nicholas C. Coops,Michael A. Wulder,Mikko Vastaranta,Thomas Hilker,Piotr Tompalski +5 more
TL;DR: In this paper, the potential of 4 advanced remote sensing technologies, which have the greatest potential to influence forest inventories designed to characterize forest resource information for strategic, tactical, and operational planning, are discussed.