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干旱区地理 >

2024 , Vol. 47 >Issue 8: 1367 - 1379

DOI: https://doi.org/10.12118/j.issn.1000-6060.2023.718

地表过程研究

呼包鄂榆城市群遥感土地覆被产品评估分析与集成学习

  • 夏子龙 ,
  • 杜培军 ,
  • 郭山川 ,
  • 方宏 ,
  • 张伟 ,
  • 潘小全
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  • 1.南京大学地理与海洋科学学院，江苏 南京 210023
    2.自然资源部国土卫星遥感应用重点实验室，江苏 南京 210023
    3.江苏省地理信息资源开发与利用协同创新中心，江苏 南京 210023
夏子龙（1996-），男，博士研究生，主要从事土地覆被遥感分析与应用等方面的研究. E-mail: zilongxia@smail.nju.edu.cn
杜培军（1975-），男，教授，主要从事城市遥感、遥感信息智能处理与地学分析等方面的研究. E-mail: peijun@nju.edu.cn

收稿日期: 2024-02-16

  修回日期: 2024-03-17

  网络出版日期: 2024-09-02

基金资助

国家自然科学基金项目(42330106);国家重点研发计划课题(2022YFC3800802)

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Evaluation and ensemble learning of remote sensing land-cover products in the Hohhot-Baotou-Ordos-Yulin urban agglomeration

  • XIA Zilong ,
  • DU Peijun ,
  • GUO Shanchuan ,
  • FANG Hong ,
  • ZHANG Wei ,
  • PAN Xiaoquan
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  • 1. School of Geography and Ocean Science, Nanjing University, Nanjing 210023, Jiangsu, China
    2. Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, Nanjing 210023, Jiangsu, China
    3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, Jiangsu, China

Received date: 2024-02-16

  Revised date: 2024-03-17

  Online published: 2024-09-02

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摘要

近年来国内外生产了多个大范围、中高分辨率的土地覆被产品，但这些产品在旱区城市群的可靠性还缺乏验证。评估不同产品在旱区城市群的空间一致性和分类精度，探究如何集成现有数据生产精度更高的产品，有助于推动和完善该区域相关研究。以呼包鄂榆城市群为研究区，基于现有5种主要土地覆被产品[GlobeLand30、GLC_FCS30、CLCD、FROM_GLC30和ESA WorldCover （ESAWC）]，从主要地类的构成相似性、空间一致性和分类精度3个方面分析这些产品在呼包鄂榆城市群土地覆被的空间差异和可靠性，提出一种多产品集成学习方法，融合5种土地覆被产品形成新土地覆被产品。结果表明：（1） 5种产品对呼包鄂榆城市群土地覆被的总体构成和空间分布描述具有较高的相似性，不同产品中分类完全一致和高度一致区域占呼包鄂榆城市群总面积的68.79%，其中草地识别的一致性最高。（2） 5种产品的总体精度在67.83%~76.96%之间，其中ESAWC产品的总体精度最高（76.96%），其次是GLC_FCS30（75.34%），所有产品在林地、草地、水体和裸地分类中精度较高，在灌木、湿地等占比较小的地类中精度较低。（3） 提出的集成学习方案可以充分整合已有产品，实现多种土地覆被产品的集成应用，新产品分类精度达到83.36%，相较原始产品分类精度提高6.40%~15.53%。研究结果可以为旱区城市群专题研究选择和生产土地覆被产品提供有价值的参考。

关键词： 土地覆被产品; 空间一致性分析; 精度评价; 数据集成; 呼包鄂榆城市群

本文引用格式

夏子龙 , 杜培军 , 郭山川 , 方宏 , 张伟 , 潘小全 . 呼包鄂榆城市群遥感土地覆被产品评估分析与集成学习[J]. 干旱区地理, 2024 , 47(8) : 1367 -1379 . DOI: 10.12118/j.issn.1000-6060.2023.718

Abstract

In recent years, numerous large-scale, medium to high-resolution land-cover products have been produced both domestically and internationally. However, the reliability of these products in arid region urban agglomerations 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 precise 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 account 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 depicting ground reality in forests, grasslands, water bodies, and bare ground, with relatively lower accuracy observed in scrubland and wetlands. (3) The proposed product integration scheme harnesses the strengths of existing 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.

Key words： land-cover products; spatial consistency analysis; accuracy assessment; integrated application; HBOY urban agglomeration

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