Remote sensing and Geographic Information System data integration: error sources and research issues
Remote sensing and Geographic Information System data integration: error sources and research issues
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DOI：
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发表时间：
1991
影响因子：
1.3
通讯作者：
R. Lunetta;R. Congalton;L. Fenstermaker;J. R. Jensen;K. McGwire;L. Tinney
中科院分区：
文献类型：
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作者：
R. Lunetta;R. Congalton;L. Fenstermaker;J. R. Jensen;K. McGwire;L. Tinney
与遥感和地理信息系统数据的获取、处理、分析、转换和最终产品展示有关的错误可能会对使用这些数据作出的决策的可信度产生重大影响。本文的目的是提供一个广泛的概述空间数据误差的来源，并确定优先研究课题，这将减少障碍，提高综合遥感和地理信息系统数据的质量。将在每个数据整合流程步骤中确定潜在的错误来源。将评估错误传播对决策和执行过程的影响，并推荐优先的错误量化研究课题。
Error associated with the remote sensing and GIS data acquisition, processing, analysis, conversion, and final product presentation can have a significant impact on the confidence of decisions made using the data. The goal of this paper is to provide a broad overview of spatial data error sources, and to identify priority research topics which will reduce impediments and enhance the quality of integrated remote sensing and GIS data. Potential sources of error will be identified at each data integration process step. Impacts of error propagation on decision making and implementation processes will be assessed, and priority error quantification research topics will be recommended.