数据质量评价是土地覆盖产品选择的依据和应用的前提。以云南省普洱市为研究区,采用面积相关系数、类型混淆分析、空间模式一致性分析以及混淆矩阵等方法,根据机载影像分类和亚米级影像目视判读结果,分析了该区的4种10m空间分辨率的土地覆盖产品(Pu'er LC,Esri_Land_Cover_2020_10m,ESA World Cover和Dynamic World)的精度和一致性。结果表明:1)4种土地覆盖产品的土地类型和分布格局基本一致,以林地为主,灌木与草地、耕地次之,面积相关性较高,相关系数均大于0.9;2)空间高一致性区域占普洱总面积的64.87%,以林地为主,空间一致性较低的区域内灌木与草地、林地、耕地、建设用地等土地覆盖类型交错分布;3)精度验证结果表明,Pu'er LC数据总体精度最高(88.52%),其他3个产品总体精度相差不大,在75%左右。研究可以为土地覆盖数据质量评价和使用等方面提供参考和借鉴。

Data quality evaluation is the basis of land cover product selection and the premise of application.Taking Pu 'er City of Yunnan Province as the research area,weadopted the correlation coefficient of area,confusion analysisof classification type,consistency analysis for spatial pattern,and confusion matrix as the indicators for evaluation.Based on the classification results using high spatial resolution airborne images and the sub-meter visual interpretation results,we analyzed the classification accuracy and spatial consistency of 4 land cover products with 10m spatial resolution (Pu'er LC,Esri_Land_Cover_2020_10m,ESA World Cover,Dynamic World) in Pu'er City,Yunnan Province.Ourresults showed that:1) Land types and distribution patterns of 4 land cover products were basically consistent,mainly including woodland,followed by shrub,grassland and cultivated land.The area correlations were relatively high,all the correlation coefficients were greater than 0.8.2) The high spatial consistency area accounted for 64.87% of the Pu 'er city,mostly was woodland;In the low spatial consistency regions,shrub and grassland,woodland,cultivated land,construction land and other land cover types were staggered.3) The absolute accuracy evaluation showed that the overall accuracy of Pu'd LC data was the highest (88.52%),and rest of the three products had the classification accuracy for about 75%.This paper provided a good reference for the quality evaluation and the selection for land cover products.