Experiment Dataset on Investigate Land Use Pixels into Subpixel Maps
GE Yong1,2JIA Yuanxin1,3CHEN Yuehong1,3JIANG Yu4JIANG Dong1
1 State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences & Natural Resources Research,Chinese Academy of Sciences,Beijing,100101,China2 Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing,210023,China3 University of Chinese Academy of Sciences,Beijing,100049,China4 Institute of Computing Technology,Chinese Academy of Sciences,Beijing,100190,China
DOI:10.3974/geodb.2016.02.17.V1
Published:May. 2016
Visitors:15021 Data Files Downloaded:341
Data Downloaded:8180.47 MB Citations:
Key Words:
Jingjinji Region,Sub-pixel mapping,Multi-scale,land use map,Remote Sensing
Abstract:
In order to discover an alternative solution of low resolution of land use pixels, a new methodology is used in subpixel mapping. Vectorial Boundary-based Subpixel Mapping (VBSPM) method and downscaling factors from 2 to 10, as well as 6-24 land use classification system were used in this experiment. Multi-scale (spatial resolution) land use map with resolution between 500m and 100m was acquired separately by using classified fraction information(1000m) of two hierarchical categories of land use map of Jingjinji region in 2005. The dataset is consisted of experiment result data in two parts, one is the first level of land use classification system in 6 land use types, and the second is 24 land use types in the second level of land use classification system. The data is archived in .tiff data format with the size of 23.9MB. Detail information and analysis paper was published at the journal of Remote Sensing, No.5, Vol. 8, 2016.
Foundation Item:
National Natural Science Foundation of China (41471296); Key Technologies Research and Development Program of China (2012BAH33B01).
Data Citation:
GE Yong, JIA Yuanxin, CHEN Yuehong, JIANG Yu, JIANG Dong. Experiment Dataset on Investigate Land Use Pixels into Subpixel Maps[J/DB/OL]. Digital Journal of Global Change Data Repository, 2016. https://doi.org/10.3974/geodb.2016.02.17.V1.
Data Product:
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Data Name |
Data Size |
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ExperimentDataLandPixelsToSubpixelMaps.rar |
24565.41KB |
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