气候变化领域集成服务门户(CCPortal): An automated methodology for differentiating rock from snow, clouds and sea in Antarctica from Landsat 8 imagery: A new rock outcrop map and area estimation for the entire Antarctic continent

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DOI	10.5194/tc-10-1665-2016
	An automated methodology for differentiating rock from snow, clouds and sea in Antarctica from Landsat 8 imagery: A new rock outcrop map and area estimation for the entire Antarctic continent
	Burton-Johnson A.; Black M.; Peter T.F.; Kaluza-Gilbert J.
发表日期	2016
ISSN	19940416
卷号	10 期号:4
英文摘要	As the accuracy and sensitivity of remote-sensing satellites improve, there is an increasing demand for more accurate and updated base datasets for surveying and monitoring. However, differentiating rock outcrop from snow and ice is a particular problem in Antarctica, where extensive cloud cover and widespread shaded regions lead to classification errors. The existing rock outcrop dataset has significant georeferencing issues as well as overestimation and generalisation of rock exposure areas. The most commonly used method for automated rock and snow differentiation, the normalised difference snow index (NDSI), has difficulty differentiating rock and snow in Antarctica due to misclassification of shaded pixels and is not able to differentiate illuminated rock from clouds. This study presents a new method for identifying rock exposures using Landsat 8 data. This is the first automated methodology for snow and rock differentiation that excludes areas of snow (both illuminated and shaded), clouds and liquid water whilst identifying both sunlit and shaded rock, achieving higher and more consistent accuracies than alternative data and methods such as the NDSI. The new methodology has been applied to the whole Antarctic continent (north of 82°40′S) using Landsat 8 data to produce a new rock outcrop dataset for Antarctica. The new data (merged with existing data where Landsat 8 tiles are unavailable; most extensively south of 82°40′S) reveal that exposed rock forms 0.18% (21745km2) of the total land area of Antarctica: half of previous estimates. © Author(s) 2016. CC Attribution 3.0 License.
学科领域	automation; cloud cover; data set; Landsat; open ocean; outcrop; satellite imagery; snow cover; Antarctica
语种	英语
scopus关键词	automation; cloud cover; data set; Landsat; open ocean; outcrop; satellite imagery; snow cover; Antarctica
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119608
作者单位	British Antarctic Survey, Cambridge, CB3 OET, United Kingdom; Department of Geography, Environment and Earth Sciences, University of Hull, Hull, HU6 7RX, United Kingdom; School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, United Kingdom
推荐引用方式 GB/T 7714	Burton-Johnson A.,Black M.,Peter T.F.,et al. An automated methodology for differentiating rock from snow, clouds and sea in Antarctica from Landsat 8 imagery: A new rock outcrop map and area estimation for the entire Antarctic continent[J],2016,10(4).
APA	Burton-Johnson A.,Black M.,Peter T.F.,&Kaluza-Gilbert J..(2016).An automated methodology for differentiating rock from snow, clouds and sea in Antarctica from Landsat 8 imagery: A new rock outcrop map and area estimation for the entire Antarctic continent.Cryosphere,10(4).
MLA	Burton-Johnson A.,et al."An automated methodology for differentiating rock from snow, clouds and sea in Antarctica from Landsat 8 imagery: A new rock outcrop map and area estimation for the entire Antarctic continent".Cryosphere 10.4(2016).