Dataset List

Vol.|Area

Data Details

Pan-Antarctic Emperor Penguin Colony Dataset (2000, 2014, 2018)


ZHANG Miao1LI Xianglan1
1 College of Global Change and Earth System Science,Beijing Normal University,Beijing China,100875

DOI:10.3974/geodb.2020.05.06.V1

Published:Aug. 2020

Visitors:3440       Data Files Downloaded:171      
Data Downloaded:23.78 MB      Citations:

Key Words:

Pan Antarctica,emperor penguin,colony,2000-2018,Global Ecosystem and Environment Observation Analysis Research Cooperation

Abstract:

Emperor penguins are regarded as "biological indicators" of Antarctic climate change, and the precise locations of their colonies are the basis for analyzing the impact of climate change on emperor penguins. Pan-Antarctic emperor penguin colony dataset (2000, 2014, 2018) was developed based on landsat-7 ETM and Landsat-8 OLI in 2000, 2014 and 2018, and combined with high resolution emperor penguin colony recognition results. The dataset includes the following data in 2000, 2014 and 2018: (1) the geo-location of emperor penguin colony, including table data and vector data (including points and polygons); (2) the list of Landsat images to identify the emperor penguin colony. The dataset is archived in .xlsx and .shp data formats, consists of 44 data files with data size of 342 KB (compressed to one single file with 142 KB).Browse

Foundation Item:

Ministry of Science and Technology of P. R. China (2018YFC1406906)

Data Citation:

ZHANG Miao, LI Xianglan.Pan-Antarctic Emperor Penguin Colony Dataset (2000, 2014, 2018)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2020. https://doi.org/10.3974/geodb.2020.05.06.V1.

ZHANG Miao, LI Xianglan. Pan-Antarctic emperor penguin colony dataset t (2000, 2014, 2018) [J]. Journal of Global Change Data & Discovery, 2020, 4(3): 217-223. https://doi.org/10.3974/geodp.2020.03.02.

Data Product:

ID Data Name Data Size Operation
0Datapaper_PanAnta.PenguinColony.pdf700.00kbDownLoad
1 PanAnta.PenguinColony.rar 142.41KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum