Shaun Quegan

Prof. Shaun Quegan

School of Mathematics and Statistics, University of Sheffield, UK
orcid

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

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

Representative Publications

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1 June 2019 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Shaun QueganShaun Quegan
Shaun Quegan
TTThuy Le Toan
Thuy Le Toan
JCJerome Chave
Jerome Chave
JDJørgen Dall
Jørgen Dall
JEJean-François Exbrayat
Jean-François Exbrayat
MWMathew Williams
Mathew Williams

1 December 2004 in Climatic Change
Verified
Journal Article
Closed access
PDF file
TTThuy Le Toan
Thuy Le Toan
Shaun QueganShaun Quegan
Shaun Quegan
IWIan Woodward
Ian Woodward
MLMark Lomas
Mark Lomas
NDNicolas Delbart
Nicolas Delbart
GPGhislain Picard
Ghislain Picard

23 November 2023 in Environmental Research Letters
Verified
Journal Article
Open access
PDF file
NHNeha Hunka
Neha Hunka
MSMaurizio Santoro
Maurizio Santoro
JAJohn Armston
John Armston
RDRalph Dubayah
Ralph Dubayah
RMRonald E McRoberts
Ronald E McRoberts
LDLaura Duncanson
Laura Duncanson
Earth Observation data are uniquely positioned to estimate forest aboveground biomass density (AGBD) in accordance with the United Nations Framework Convention on Climate Change (UNFCCC) principles of ‘transparency, accuracy, completeness, consistency and comparability’. However, the use of space-based AGBD maps for national-level reporting to the UNFCCC is nearly non-existent as of 2023, the end of the first global stocktake (GST). We conduct an evidence-based comparison of AGBD estimates from the NASA Global Ecosystem Dynamics Investigation and ESA Climate Change Initiative, describing differences between the products and National Forest Inventories (NFIs), and suggesting how science teams must align efforts to inform the next GST. Between the products, in the tropics, the largest differences in estimated AGBD are primarily in the Congolese lowlands and east/southeast Asia. Where NFI data were acquired (Peru, Mexico, Lao PDR and 30 regions of Spain), both products show strong correlation to NFI-estimated AGBD, with no systematic deviations. The AGBD-richest stratum of these, the Peruvian Amazon, is accurately estimated in both. These results are remarkably promising, and to support the operational use of AGB map products for policy reporting, we describe targeted ways to align products with Intergovernmental Panel on Climate Change (IPCC) guidelines. We recommend moving towards consistent statistical terminology, and aligning on a rigorous framework for uncertainty estimation, supported by the provision of open-science codes for large-area assessments that comprehensively report uncertainty. Further, we suggest the provision of objective and open-source guidance to integrate NFIs with multiple AGBD products, aiming to enhance the precision of national estimates. Finally, we describe and encourage the release of user-friendly product documentation, with tools that produce AGBD estimates directly applicable to the IPCC guideline methodologies. With these steps, space agencies can convey a comparable, reliable and consistent message on global biomass estimates to have actionable policy impact.

1 December 2010 in Global Change Biology
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Journal Article
Closed access
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Shaun QueganShaun Quegan
Shaun Quegan
CBChristian Beer
Christian Beer
Anatoly ShvidenkoAnatoly Shvidenko
Anatoly Shvidenko
IMIan Mccallum
Ian Mccallum
IHItsuki C. Handoh
Itsuki C. Handoh
CSChristiane Cornelia Schmullius
Christiane Cornelia Schmullius

30 September 2024 in Science of Remote Sensing
Verified
Journal Article
Open access
MSMaurizio Santoro
Maurizio Santoro
OCOliver Cartus
Oliver Cartus
Shaun QueganShaun Quegan
Shaun Quegan
Heather KayHeather Kay
Heather Kay
RLRichard M. Lucas
Richard M. Lucas
FSFrank Martin Seifert
Frank Martin Seifert

21 February 2023 in Environmental Research Letters
Verified
Journal Article
Open access
PDF file
JMJoana Melo
Joana Melo
TBTim Baker
Tim Baker
DNDirk Nemitz
Dirk Nemitz
Shaun QueganShaun Quegan
Shaun Quegan
GZGuy Ziv
Guy Ziv
The Earth observation (EO) community is coordinating a range of activities in support of the Global Stocktake. One objective is to enhance the uptake of satellite-based global-scale maps (hereafter ‘EO products’) in national greenhouse gas (GHG) inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC). To measure progress towards this objective, we compile information on the use of EO products on land cover, fire, and above-ground biomass to derive carbon flux estimates in forest reference levels from 56 tropical countries submitted to the UNFCCC between 2014–2022. The global forest change (GFC) was the only EO product used to measure land extent and change, and was used by almost half the countries. Only two countries used existing EO products for fire mapping. Four countries used biomass maps, although only indirectly, such as for comparing with biomass estimates from field plot measurements or with IPCC defaults. The uptake is limited but improved the measurement, reporting and verification capacity of 22 countries. The relatively high uptake of the GFC demonstrates the importance of meeting essential conditions in the IPCC guidance when developing EO products, including conditions on spatial and temporal resolution, temporal coverage and consistency, and the flexibility to adapt to biophysical thresholds in national definitions. The limited use of other global land EO products underlines the need for developers of EO products to interact with groups responsible for GHG inventories and experts familiar with IPCC guidance so that their products are suitable for national reporting, and thus contribute to more complete aggregated estimates in the Global Stocktake.