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首页> 外文期刊>Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry >Accuracy Assessment of NOAA Coastal Change Analysis Program 2006-2010 Land Cover and Land Cover Change Data
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Accuracy Assessment of NOAA Coastal Change Analysis Program 2006-2010 Land Cover and Land Cover Change Data

机译：NOAA海岸变化分析计划2006-2010年土地覆盖和土地覆盖变化数据的准确性评估

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摘要

A new approach to locating accuracy assessment sample units was used to quantify 2010 land cover accuracy, in addition to being able to make statements about 2006-2010 land cover change mapping accuracy for National Oceanic and Atmospheric Administration (NOAA) Coastal Change Analysis Program (C-CAP) data. Three customized tiers of sampling strata were created, as discussed, to meet these goals. Stratified random sampling was employed in each stratum with a six out of nine pixelhomogeneity criteria (different from the final minimum mapping unit) required for each sampling unit. Accuracy was assessed for nine regions in the coastal United States with overall accuracy ranging from 82.3 percent to 85.6 percent. Binary change was mapped with 88.7 percent accuracy, with the largest error being errors of commission (71.2 percent user accuracy). This sampling design also allowed for the identification of 137 locations where true change was not mapped, allowing for statements to be made about missed change.
机译：除了能够对美国国家海洋与大气管理局（NOAA）沿海变化分析计划（C）的2006-2010年土地覆盖变化制图精度做出陈述外，采用了一种定位准确性评估样本单位的新方法来量化2010年土地覆盖的准确性。 -CAP）数据。如所讨论的，创建了三个定制的采样层，以实现这些目标。在每个层中采用分层随机采样，每个采样单元需要九个像素同质性标准中的六个（不同于最终最小映射单元）。对美国沿海九个地区的准确性进行了评估，总体准确性范围为82.3％至85.6％。二进制更改的映射精度为88.7％，最大的错误是佣金错误（用户准确度为71.2％）。这种抽样设计还可以识别137个未映射真实更改的位置，从而可以对丢失的更改做出陈述。

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