Anthea L. Mitchell

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– The joint processing of remote sensing data acquired from sensors operating at different wavelengths has the potential to significantly improve the operation of global forest mapping and monitoring systems. This paper presents an analysis of the forest discrimination properties of Landsat TM and ALOS-PALSAR data when considered as a combined source of(More)
SAR data acquired over hilly terrain show geometric and radiometric distortions due to the side-looking configuration of the radar sensors. These effects usually lead to a distortion of the useful backscatter information related to land cover or bio-geophysical parameters. Post-processing approaches to remove such distortions are very important to broaden(More)
In this paper, the use of airborne polarimetric Synthetic Aperture Radar (SAR) for retreiving information on the structure and biomass of mangroves in the Pacific (Australia) and Atlantic (French Guiana) oceanic regions is considered. The study makes a comparison between the biomass and structure of the different communities and how these impact on the SAR(More)
– Interoperability is generally thought of as being nominal (" interoperable/not interoperable ") whereas in reality it should be assessed in an ordinal, interval, or ratio manner. This article presents a number of techniques that can be used to describe the interoperability between classifications in a way that is more robust than a confusion matrix. The(More)
– Global forest information monitoring demands consistent, wall-to-wall, time-series measurements of forest and land cover change. To be of value to the scientific community and to support countries' Monitoring, Reporting and Verification (MRV) systems, robust and repeatable methods of generating forest change estimates from remote sensing data are(More)