呼包鄂榆城市群遥感土地覆被产品评估分析与集成学习OA北大核心CSTPCD

In recent years,numerous large-scale,medium to high-resolution land-cover products have been pro-duced both domestically and internationally.However,the reliability of these products in arid region urban ag-glomerations has not been adequately validated.Assessing the spatial consistency and classification accuracy of different products in arid urban agglomerations,and exploring ways to utilize existing data to produce more pre-cise integrated products,can advance and refine relevant research in this region.Based on the five major existing land-cover products[GlobeLand30,GLC_FCS30,CLCD,FROM_GLC30,and ESA WorldCover(ESAWC)],this study analyzed the spatial differences and reliability of these products within the Hohhot-Baotou-Ordos-Yulin(HBOY)urban agglomeration,north China in terms of the similarity of composition type,spatial consistency,and classification accuracy.An effective multi-source product ensemble learning method was proposed,involving the fusion of five land-cover products to generate a novel,integrated land-cover product.The results show that:(1)The overall composition and spatial distribution of land-cover in the HBOY urban agglomeration is similar among the five products.The areas that are completely consistent and highly consistent among different products ac-count for 68.79%of the total area,with grassland having the highest consistency.(2)The overall accuracy of the five products ranged from 67.83%to 76.96%,with the ESAWC product exhibiting the highest overall accuracy(76.96%),followed by GLC_FCS30(75.34%).All the products demonstrated significant spatial accuracy in de-picting ground reality in forests,grasslands,water bodies,and bare ground,with relatively lower accuracy ob-served in scrubland and wetlands.(3)The proposed product integration scheme harnesses the strengths of exist-ing products and prior knowledge,enabling the integrated application of multiple land-cover products.The new product achieves an overall accuracy of 83.36%,representing an improvement of 6.40%to 15.53%compared to the accuracy of the original products.The results of the study provide valuable references for the selection and production of land-cover products for thematic studies in arid region urban agglomerations.