Robin Fuller

TL;DR: The Land Cover Map of Great Britain this paper was produced using supervised maximum-likelihood classifications of Landsat Thematic Mapper data, and classification accuracies were substantially improved over single-data analyses.

TL;DR: The Land Cover Map 2000 (LCM2000) as mentioned in this paper is a thematic classification of satellite image data covering the entire United Kingdom, which uses spectral segmentation of images to generate vector land parcels, which are then identified by the spectral classification of the image data in these parcels.

TL;DR: In this article, the authors examine issues surrounding the detection, measurement and characterisation of landscape changes by remote sensing and other means, and conclude that the measurement of small to medium scale changes over large areas requires levels of precision in mapping which are near impossible to achieve with satellite image classifications alone; indeed they may be difficult to achieve in any form of survey unless it is tailored and rigorously applied specifically to the recording of real changes.

TL;DR: In this article, field surveys of plants and animals were combined with satellite remote sensing of broad vegetation types to map biodiversity and thereby help plan conservation in the Sango Bay area, some 30 by 100 kilometres bordering Lake Victoria in Uganda.