作者:Sun, PJ (Sun, Peijun)[ 1,2 ] ; Congalton, RG (Congalton, Russell G.)[ 3 ] ; Pan, YZ (Pan, Yaozhong)[ 1,2 ]

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

卷: 84  期: 2  页: 88-101

DOI: 10.14358/PERS.84.2.87

出版年: FEB 2018

摘要

Upscaling land cover maps is broadly employed to fill data gaps or match the spatial-resolution of preexisting projects. However, existing methods introduce systematic errors in the area information and the landscape pattern. We developed an upscaling method fusing the spatial structure information (i.e., class Membership probability) and the uncertainty information of the base map (e.g., Confidence level probability), called Fusing class Membership probability and Confidence level probability (FMC). The results showed that FMC obtained higher upscaling efficiency, and mitigated the negative influence of landscape heterogeneity and the negative influence of unequal proportions of land cover in the base maps, on the upscaling compared to Majority Rule Based (MRB) method. Additionally, FMC can reduce the uncertainty/error when these upscaled maps are used as input to Earth observation model (e.g., land cover change).

通讯作者地址: Sun, PJ (通讯作者)

Chinese Acad Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China.

通讯作者地址: Sun, PJ (通讯作者)

Beijing Normal Univ, Inst Remote Sensing & Engn, Fac Geog Sci, Beijing 100875, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[ 2 ] Beijing Normal Univ, Inst Remote Sensing & Engn, Fac Geog Sci, Beijing 100875, Peoples R China

[ 3 ] Univ New Hampshire, Dept Nat Resources & Environm, Durham, NH 03824 USA