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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

Image texture analysis enhances classification of fire extent and severity using Sentinel 1 and 2 satellite imagery

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

Addressing critical influences on L-band radar backscatter for improved estimates of basal area and change

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

Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification (MRV) systems for REDD+

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

Measurement of forest above-ground biomass using active and passive remote sensing at large (Subnational to global) scales