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NCEO - Carbon
Williams, Mathew
(Principal Investigator)
School of Geosciences
Overview
Fingerprint
Research output
(32)
Project Details
Status
Finished
Effective start/end date
1/04/08
→
31/03/15
Funding
NERC:
£617,567.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
data assimilation
Earth & Environmental Sciences
100%
leaf area index
Earth & Environmental Sciences
96%
carbon
Earth & Environmental Sciences
86%
aboveground biomass
Earth & Environmental Sciences
81%
carbon cycle
Earth & Environmental Sciences
74%
radar
Agriculture & Biology
68%
woodland
Earth & Environmental Sciences
63%
woodlands
Agriculture & Biology
61%
Research output
Research output per year
2009
2011
2019
2021
32
Article
Research output per year
Research output per year
Evaluating two land surface models for Brazil using a full carbon cycle benchmark with uncertainties
Caen, A.
,
Smallman, T. L.
,
Anderson de Castro, A.
,
Robertson, E.
,
von Randow, C.
,
Cardoso, M.
&
Williams, M.
,
13 Aug 2021
, (E-pub ahead of print)
In:
Climate Resilience and Sustainability.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
carbon cycle
100%
land surface
88%
simulator
37%
biome
32%
land
22%
Does Economic Optimisation Explain LAI and Leaf Trait Distributions Across an Amazon Soil Moisture Gradient?
Flack‐prain, S.
,
Meir, P.
,
Malhi, Y.
,
Smallman, T. L.
&
Williams, M.
,
1 Feb 2021
,
In:
Global Change Biology.
27
,
3
,
p. 587-605
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
leaf characteristics
100%
Leaf Like Crystal
75%
Soil
75%
soil water
75%
soil moisture
72%
Characterizing the Error and Bias of Remotely Sensed LAI Products: An Example for Tropical and Subtropical Evergreen Forests in South China
Zhao, Y.
,
Chen, X.
,
Smallman, T. L.
,
Flack-prain, S.
,
Milodowski, D. T.
&
Williams, M.
,
23 Sep 2020
,
In:
Remote Sensing.
12
,
19
,
p. 3122
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
evergreen forest
100%
leaf area index
86%
earth observation
58%
product
40%
spatial resolution
21%