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Geographical Information Handling - Research and Applications
Tony Gatrell,Paul M. Mather +1 more
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This article is published in Transactions of the Institute of British Geographers.The article was published on 1994-01-01. It has received 25 citations till now.read more
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Identification, prediction, and mitigation of sinkhole hazards in evaporite karst areas
TL;DR: Sinkhole identification, investigation, prediction, and mitigation using field surveys and geomorphological mapping combined with accounts from local people and historical sources is studied in this paper, where detailed sinkhole maps can be constructed from sequential historical maps, recent topographical maps, and digital elevation models (DEMs) complemented with building-damage surveying, remote sensing, and high-resolution geodetic surveys.
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Writing on academic careers
TL;DR: In the UK, academic work has been conceptualised as involving one or more of five overlapping roles: teaching, research and managing, plus writing and networking as discussed by the authors. But, while much has been written in recent years on the teaching role, relatively little of a cross-disciplinary nature appears to have been written on academic researching, writing or networking.
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Landform classification from a digital elevation model and satellite imagery
TL;DR: In this paper, a 10m resolution digital elevation model (DEM) and some use of an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) image were used for landform classification.
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Databases and GIS for landslide research in Europe
TL;DR: In this article, a review of the use of databases and GIS for landslide research has been presented, which shows a high potential of these techniques in storing spatial and temporal landslide data (landslide inventories) and in applying different modelling approaches to landslide hazard assessments at various scales.
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Use of an integrated flow model to estimate ecologically relevant hydrologic characteristics at stream biomonitoring sites
TL;DR: In this paper, a comprehensive set of hydrologic variables representing five major components of the flow regime at 856 aquatic-invertebrate monitoring sites in New Jersey were developed.