Doreen Boyd

Prof. Dr. Doreen Boyd

School of Geography, University of Nottingham, Nottingham, United Kingdom
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 January 2022 in Remote Sensing of Environment
Verified
Journal Article
Open access
LDLaura Duncanson
Laura Duncanson
JKJames R. Kellner
James R. Kellner
JAJohn Armston
John Armston
RDRalph Dubayah
Ralph Dubayah
DMDavid M. Minor
David M. Minor
CZCarlo Zgraggen
Carlo Zgraggen

1 June 2003 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Giles FoodyGiles Foody
Giles Foody
Doreen BoydDoreen Boyd
Doreen Boyd
MCMark Cutler
Mark Cutler

1 September 2006 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Giles FoodyGiles Foody
Giles Foody
AMAjay Mathur
Ajay Mathur
CSCarolina Sanchez-Hernandez
Carolina Sanchez-Hernandez
Doreen BoydDoreen Boyd
Doreen Boyd

18 March 2014 in Nature Communications
Verified
Journal Article
Open access
FEFernando Del Bon Espírito-Santo
Fernando Del Bon Espírito-Santo
MGManuel Gloor
Manuel Gloor
MKMichael Keller
Michael Keller
YMYadvinder Malhi
Yadvinder Malhi
SSSassan Saatchi
Sassan Saatchi
OPOliver L. Phillips
Oliver L. Phillips
Forest inventory studies in the Amazon indicate a large terrestrial carbon sink. However, field plots may fail to represent forest mortality processes at landscape-scales of tropical forests. Here we characterize the frequency distribution of disturbance events in natural forests from 0.01 ha to 2,651 ha size throughout Amazonia using a novel combination of forest inventory, airborne lidar and satellite remote sensing data. We find that small-scale mortality events are responsible for aboveground biomass losses of ~1.28 Pg C y−1 over the entire Amazon region. We also find that intermediate-scale disturbances account for losses of ~0.01 Pg C y−1, and that the largest-scale disturbances as a result of blow-downs only account for losses of ~0.003 Pg C y−1. Simulation of growth and mortality indicates that even when all carbon losses from intermediate and large-scale disturbances are considered, these are outweighed by the net biomass accumulation by tree growth, supporting the inference of an Amazon carbon sink.

1 July 2001 in Global Ecology and Biogeography
Verified
Journal Article
Closed access
PDF file
Giles FoodyGiles Foody
Giles Foody
MCMark Cutler
Mark Cutler
JMJulia McMorrow
Julia McMorrow
DPDieter Pelz
Dieter Pelz
HTHamzah Tangki
Hamzah Tangki
IDIan Douglas
Ian Douglas

1 March 2005 in Progress in Physical Geography: Earth and Environment
Verified
Journal Article
Closed access
Doreen BoydDoreen Boyd
Doreen Boyd
MDMark Danson
Mark Danson
Three decades have passed since the launch of the first international satellite sensor programme designed for monitoring Earth’s resources. Over this period, forest resources have come under increasing pressure, thus their management and use should be underpinned by information on their properties at a number of levels. This paper provides a comprehensive review of how satellite remote sensing has been used in forest resource assessment since the launch of the first Earth resources satellite sensor (ERTS) in 1972. The use of remote sensing in forest resource assessment provides three levels of information; namely (1) the spatial extent of forest cover, which can be used to assess the spatial dynamics of forest cover; (2) forest type and (3) biophysical and biochemical properties of forests. The assessment of forest information over time enables the comprehensive monitoring of forest resources. This paper provides a comprehensive review of how satellite remote sensing has been used to date and, building on these experiences, the future potential of satellite remote sensing of forest resources is highlighted.