Windmill Islands 1:10000 Lakes and Ponds GIS Dataset

• Other Authors: Australian Antarctic Division (isOwnedBy)
• Format: Dataset
• Language: unknown
• Published: data.gov.au
• Subjects: AMD; AMD-AU; CEOS; CONTINENT - ANTARCTICA - Windmill Islands; EARTH SCIENCE - LAND SURFACE - LAND USE-LAND COVER; EARTH SCIENCE - TERRESTRIAL HYDROSPHERE - SURFACE WATER - LAKES; FIELD SURVEYS; GEOGRAPHIC REGION - POLAR; GEOMORPHOLOGY; GIS; GROUND-BASED OBSERVATIONS; LAKES; WINDMILL ISLANDS; Wilkes Land; Windmill Islands; Goodwin; Islands Point; Antarc*; Antarctica
• Online Access: https://researchdata.edu.au/windmill-islands-110000-gis-dataset/1434762; http://data.gov.au/dataset/9efc670d-6298-49ad-aa36-ce4a4176190b

This dataset is one of a number of datasets containing geomorphological data relating to the Windmill Islands, Wilkes Land, Antarctica. The dataset comprises of a digital polygon/point coverage of lakes and ponds identified from documented field observations compiled by Dr Ian D Goodwin from his own field notes as well as topographic and surface lake features identified and interpreted on aerial photographs taken by AUSLIG (now Geoscience Australia) in the 1993-94 field season. Each lake/pond is represented as a polygon with a central point label which is linked to a separate digital database (ie attribute tables) containing additional information. Sediment samples collected predominantly along the shoreline of these lakes represent a chronology of glacial events/influences on these lakes. Sediment samples taken as a profiled sequence or core can be dated using radiocarbon dating to provide a chronological picture and age occurance of deglaciation and glaciation cycles within the Windmill Islands. Point of truth URL of this metadata record - Point of truth URL of this metadata record Download point for the data - shapefiles - Download point for the data - shapefiles Public information for ASAC project 339 - Public information for ASAC project 339 Citation reference for this metadata record and dataset - Citation reference for this metadata record and dataset