In this study, a terrain classification algorithm is presented that was derived from various properties of the returned full waveform signals collected from the Ice, Cloud and land elevation Satellite (ICESat) mission. Such an algorithm would be beneficial for current and future studies of the cryosphere, particularly Greenland and Antarctica, by helping to identify changes in the large scale surface properties over time. The algorithm developed was validated over a test region in the Dry Valleys of Antarctica, where the terrain is well known and regularly monitored.
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Library ResourceArtículos de revistas y librosDiciembre, 2011Groenlandia, Antártida
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Library ResourceArtículos de revistas y librosDiciembre, 2013Groenlandia, Estados Unidos de América, Antártida
We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have classified over 6600 scenes of Landsat TM data after 2006, and over 2300 scenes of Landsat TM and ETM+ data before 2006, all selected from the green season. These images cover most of the world's land surface except Antarctica and Greenland. Most of these images came from the United States Geological Survey in level L1T (orthorectified).
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Library ResourceArtículos de revistas y librosDiciembre, 2012Antártida
Low or medium spatial resolution satellite images are used for environmental monitoring in remote, extremely cold areas such as Antarctica. However, they cannot provide detailed spatial and spectral information over Antarctic areas. For obtaining this information, we propose an Antarctic land-cover classification method using IKONOS and Hyperion data over Terra Nova Bay, Antarctica. High spatial resolution IKONOS imagery enabled the detection of detailed, accurate boundaries between areas of snow, ice, vegetation, water and rock.
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Library ResourceArtículos de revistas y librosPublicación revisada por paresFebrero, 2021África, Américas, Asia, Europa, Oceanía, Antártida
Fit-for-purpose land administration (FFPLA) concept is widely applied in the emerging land administration systems (LASs). This paper aims to contribute to the development of evaluation of the spatial aspect of FFPLA. A review of evaluation models for LASs is made in relation with rationale of FFPLA to identify gaps related to evaluation of a FFPLA and to build up milestones and measurement criteria.
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