Research output per year
Research output per year
Personal profile
Personal profile
Richard Crabbe is a professional spatial scientist with many years of research experience in novel application of earth observation data, machine learning and biophysical models to solving real world problems in pasture and forest systems. Until 2016, Richard was working on a carbon flux monitoring project in Europe, with a particular interest in integrating satellite remote sensing into soil CO2 efflux monitoring. Through Richard’s relation with the Global Change Research Institute of the Czech Academy of Sciences, he facilitated the creation of an international carbon flux monitoring project at the University of Energy and Natural Resources in Ghana. Over the years, Richard has been on different projects as a remote sensing expert in performing various roles including:
- Estimating pasture biomass and species composition using Synthetic Aperture Radar data
- Estimating CO2 emissions from soils using Landsat-8
- Evaluating the impact of extreme warm temperature events on vegetation phenology
Research Interests
Research Interests
- Vegetation (pasture and forest) biomass modelling
- Land surface phenology
- Precision Agriculture
- Carbon flux measurement
- Machine learning in spatial science
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Research output
- 72 Citations
- 5 h-Index
- 9 Article
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Spatial analysis of outdoor wet bulb globe temperature under RCP4.5 and RCP8.5 scenarios for 2041–2080 across a range of temperate to hot climates
Hall, A., Horta, A., Khan, M. & Crabbe, R., 19 Feb 2022, In: Weather and Climate Extremes. 35, 18 p., 100420.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure) -
Investigating the potential of Sentinel-1 to detect varying spatial heterogeneity in pasture cover in grasslands
Crabbe, R. A., Lamb, D. W. & Edwards, C., Jan 2021, In: International Journal of Remote Sensing. 42, 1, p. 274-285 12 p.Research output: Contribution to journal › Article › peer-review
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Discrimination of species composition types of a grazed pasture landscape using Sentinel-1 and Sentinel-2 data
Crabbe, R. A., Lamb, D. & Edwards, C., Feb 2020, In: International Journal of Applied Earth Observation and Geoinformation. 84, p. 1-12 12 p., 1019782.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Citations (Scopus)17 Downloads (Pure) -
A preliminary investigation of the potential of sentinel-1 radar to estimate pasture biomass in a grazed, pasture landscape
Crabbe, R. A., Lamb, D. W., Edwards, C., Andersson, K. & Schneider, D., 10 Apr 2019, In: Remote Sensing. 11, 7, 19 p., 872.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Citations (Scopus) -
Discriminating between C3, C4, and mixed C3/C4 pasture grasses of a grazed landscape using multi-temporal sentinel-1a data
Crabbe, R. A., Lamb, D. W. & Edwards, C., 27 Jan 2019, In: Remote Sensing. 11, 3, p. 1-20 20 p., 253.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)4 Downloads (Pure)