Overview
Background
My current research focuses on using satellite optical data to map and monitor increasing woody vegetation in NSW. A robust method is sought that will complement existing State Government reporting on the extent of land clearing. My other research interests include the use of multi-sensor Earth Observation data for progressive burnt area mapping and post-fire recovery monitoring.
Availability
- Dr Anthea Mitchell is:
- Not available for supervision
Qualifications
- Doctor of Philosophy, The University of Queensland
Works
Search Professor Anthea Mitchell’s works on UQ eSpace
2023
Journal Article
Image texture analysis enhances classification of fire extent and severity using Sentinel 1 and 2 satellite imagery
Gibson, Rebecca Kate, Mitchell, Anthea and Chang, Hsing-Chung (2023). Image texture analysis enhances classification of fire extent and severity using Sentinel 1 and 2 satellite imagery. Remote Sensing, 15 (14) 3512, 1-21. doi: 10.3390/rs15143512
2022
Journal Article
Addressing critical influences on L-band radar backscatter for improved estimates of basal area and change
Williams, Mark L., Mitchell, Anthea L., Milne, Anthony K., Danaher, Tim and Horn, Geoff (2022). Addressing critical influences on L-band radar backscatter for improved estimates of basal area and change. Remote Sensing of Environment, 272 112933, 112933. doi: 10.1016/j.rse.2022.112933
2017
Journal Article
Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+
Mitchell, Anthea L., Rosenqvist, Ake and Mora, Brice (2017). Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+. Carbon Balance and Management, 12 (1) 9, 1-22. doi: 10.1186/s13021-017-0078-9
2015
Journal Article
Measurement of forest above-ground biomass using active and passive remote sensing at large (Subnational to global) scales
Lucas, Richard M., Mitchell, Anthea L. and Armston, John (2015). Measurement of forest above-ground biomass using active and passive remote sensing at large (Subnational to global) scales. Current Forestry Reports, 1 (3), 162-177. doi: 10.1007/s40725-015-0021-9
Media
Enquiries
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