Professor Richard Lucas

Professor Richard Lucas

Honorary Visiting Professor
Field of Research
Remote sensing, forests, biogeography, carbon, land cover

The primary area of Professor Lucas’ expertise is in quantifying and understanding the response of terrestrial ecosystems and environments to change, including that associated with climatic variation, through integration of remote sensing data from various sources. He has also developed methods for extracting relevant information on terrestrial ecosystems at scales ranging from individual trees to entire regions. Key achievements include the development of object-based methods to update a national classification of habitats in Wales (UK) and a generic scheme for classifying land covers at any location and at multiple scales based on the FAO Land Cover Classification System (LCCS); implementing approaches to quantifying the biomass and structure of forests and woodlands in eastern Australia through integration of radar, optical and ICESAT data; and quantifying mangrove response to both natural and anthropogenic change, including that associated with climatic fluctuation. His collaborative research on lidar and hyperspectral data has established innovative techniques for characterising the species composition, structure and biomass of Australian woodlands at the tree and stand level and quantifying change.

Professor Lucas’ has developed a range of techniques for retrieving information on the state and dynamics of terrestrial vegetation and his current research is increasingly focusing on using these to better understand the impacts of human-induced and natural change on a diversity of ecosystems, including mangroves, semi-arid woodlands and tropical rainforests. His research is also establishing how time-series of optical and radar remote sensing data can be used to restore previously lost or degraded ecosystems for the benefit of biodiversity conservation and carbon preservation and sequestration.


An integrated pan-tropical biomass map using multiple reference datasets.  Global Change Biology (10.1111/gcb.13139). 2015

Challenges and opportunities in harnessing satellite remote sensing for biodiversity monitoring.  Ecological Informatics. 2015

Measurement of forest above ground biomass using active and passive remote sensing at large (subnational to global) scales.  Current Forestry Reports ((DOI 10.1007/s40725-015-0021-9). 2015

Agree on biodiversity metrics to track from space.  Nature, 523, 403-405. 2015

Mangrove response to environmental changes predicted under varying climates:  Case Studies from Australia.  Current Forestry Reports, DOI 10.1007/s40725-015-0018-4. 2015

Mapping peatland floristic composition using a combined ordination and regression approach.  Remote Sensing of Environment, 162,99-111. 2015

An approach to monitoring mangrove extents through time-series comparison of JERS-1 SAR and ALOS PALSAR data.  Wetlands Ecology and Management, 23, 3-17. 2015

Very high resolution earth observation features for monitoring plant and animal community structure across multiple spatial scales in protected areas.  International Journal of Applied Earth Observation and Geoinformation.  37, 100-105. 2015

Synergy of Airborne LiDAR and Worldview-2 satellite imagery for land cover and habitat mapping: a BIOSOS-EODHAM, 37, 48-55. 2015

Satellite remote sensing to monitoring anthropogenic pressure in protected areas. International Journal of Applied Earth Observation and Geoinformation, 37, 124-132. 2015

Can we predict habitat quality from space?  A multi-indicator assessment based on a semi-automated rule-based system.   International Journal of Applied Earth Observation and Geoinformation, 37, 106-113. 2014

The Earth Observation Data for Habitat Monitoring (EODHAM) System.  International Journal of Applied Earth Observation and Geoinformation. 37, 17-28. 2014

Multi-resolution time-series imagery for forest disturbance and regrowth monitoring in Queensland, Australia.  Remote Sensing of Environment, 158, 156-168. 2014

Land use and land cover change dynamics across the Brazilian Amazon: insights from extensive time-series of remote sensing data.  PLOSone, 9(8), e104144. 2014

New global forest/non-forest from ALOS PALSAR data (2007-2010).  Remote Sensing of Environment, 155, 13-31. 2014

A python-based open source system for geographic object-based image analysis (GEOBIA) utilising raster attribute tables.   Remote Sensing, 6. 2014

Expert knowledge for translating land cover/use maps to General Habitat Categories.  Landscape Ecology, 29, 1045-1067. 2014

Contribution of L-band SAR to Systematic Global Mangrove Monitoring.  Freshwater and Marine Science, 65, 589-603 (citations 1). 2014

Mapping forest growth and degradation stage in the Brigalow Belt Bioregion of Australia through integration of ALOS PALSAR and Landsat-derived Foliage Projective Cover (FPC) data.  Remote Sensing of Environment, 155, 42-57. 2014

Harmonization of the Land Cover Classification System (LCCS) with the General Habitat Categories (GHC) classification system.  Ecological Indicators, 36, 290-300. 2013

Translating land cover/land use classifications to habitat taxomomies for landscape monitoring:  a Mediterranean assessment.  Landscape Ecology, 28, 905-930. 2013

Using landscape history to predict biodiversity patterns in fragmented landscapes.  Ecology Letters, 16(10), 1221-1233. 2013

The Remote Sensing and GIS Software Library (RSGISLib).  Computers and Geosciences, 62, 2-6-226. 2013

Direct retrieval of canopy gap probability from airborne waveform lidar. Remote Sensing of Environment, 134, 50-65. 2013

Sorted Pulse Data (SPD) Library.  Part I:  A generic file format for LiDAR data from pulse laser systems in terrestrial environments.  Computing and Geosciences, 56, 197-206. 2013

Sorted Pulse Data (SPD) Library.  Part II:  A processing framework for LiDAR data from pulse laser systems in terrestrial environments. Computing and Geosciences, 56, 207-215. 2013

Classification of forest composition using polarimetric decomposition in multiple landscapes.  Remote Sensing of Environment, 131, 206-214. 2013

Mapping changes in the largest continuous Amazon mangrove belt using object-based classification of multi-sensor satellite imagery.  Estuarine, Coastal and Shelf Science, 117, 83-93. 2013

Remote sensing for conservation monitoring:  assessing protected areas, habitat extent, habitat condition, species diversity and threats.  Ecological Indicators, 33, 45-59. 2012

An approach to mapping forest growth stages in Queensland, Australia, through integration of ALOS PALSAR and Landsat sensor data. Remote Sensing, 4(8), 2236-2255. 2012

Understanding the relationship between above ground biomass and ALOS PALSAR data in the forests of Guinea-Bissau (West Africa), Remote Sensing of Environment, 121, 626-442. 2012

Multi-layered multiple-species forests scattering model based on a wave theory approach.  IEEE Transactions Geoscience and Remote Sensing, 49(12), 4832-4845. 2012

The K&C PALSAR mosaic of the African Continent:  Processing Issues and First Thematic Results. IEEE Transactions Geoscience and Remote Sensing, 49(10), 3593-3610. 2012

Updating the Phase 1 habitat map of Wales, UK, using satellite sensor data, ISPRS Journal of Photogrammetry and Remote Sensing 66, 81–102. 2011 


off campus