

Author: Kinkeldey Christoph
Publisher: MDPI
E-ISSN: 2220-9964|3|3|1122-1138
ISSN: 2220-9964
Source: ISPRS International Journal of Geo-Information, Vol.3, Iss.3, 2014-09, pp. : 1122-1138
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Analysis of land cover change is one of the major challenges in the remote sensing and GIS domain, especially when multi-temporal or multi-sensor analyses are conducted. One of the reasons is that errors and inaccuracies from multiple datasets (for instance caused by sensor bias or spatial misregistration) accumulate and can lead to a high amount of erroneous change. A promising approach to counter this challenge is to quantify and visualize uncertainty,
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