河冰遥感指数判别方法综合评价——以黄河上游为例  

Comprehensive Evaluation of River Ice Remote Sensing Index Discriminant Methods--A Case Study of the Upper Yellow River

作　　者：庞鑫 李弘毅 任鸿瑞[1] 陈腾飞 杨雅茹 PANG Xin;LI Hongyi;REN Hongrui;CHEN Tengfei;YANG Yaru(College of Geological and Surveying Engineering,Taiyuan University of Technology,Taiyuan 030024,China;Key Laboratory of Cryospheric Science and Frozen Soil Engineering,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;Faculty of Geomatics,Lanzhou Jiaotong University,Lanzhou 730000,China)

机构地区：[1]太原理工大学地球科学与测绘工程学院测绘科学与技术系,山西太原030024 [2]中国科学院西北生态环境资源研究院冰冻圈科学与冻土工程重点实验室,甘肃兰州730000 [3]兰州交通大学测绘地理信息学院,甘肃兰州730000

出　　处：《遥感技术与应用》2024年第6期1353-1362,共10页Remote Sensing Technology and Application

基　　金：国家自然科学基金联合基金重点支持项目(U22A20564);国家自然科学基金项目(41971399)。

摘　　要：河冰遥感判别对冰情监测提供了重要的支持。河冰指数判别方法是河冰遥感判别的核心工具。然而,目前仍缺乏对常用指数判别模型在不同河道类型的综合性对比研究。针对此问题,本研究采用了5种遥感指数模型(RDRI、NDSI、MNDSI、NDWI、反射率阈值法),选择黄河上游河道不同特征的6个研究区3种河道类型,对不同研究区中河冰指数模型的阈值稳定性、精度和适用性进行了分析讨论。结果表明:5种遥感指数模型的构建方式共同反映出河冰在可见光、近红外和短波红外波段的光谱特性是河冰判别最为重要的基础。RDRI指数在多个方面表现最佳,平均Kappa系数为0.9144,推荐其作为河冰指数判别方法的最优选择。NDSI和MNDSI指数可以通过调整阈值有效排除浅雪的干扰。NDSI、MNDSI和NDWI指数在河源段研究区的精度表现良好,而反射率阈值法在性能上稍逊于RDRI指数,但其算法简单仍然具有一定的应用价值。对于不同河道类型的研究区,5种遥感指数模型的在顺直河道的精度最高,弯曲河道次之,分叉河道最低。The remote sensing identification of river ice provides important support for ice condition monitoring.River ice index identification methods are core tools in river ice remote sensing.However,there is currently a lack of comprehensive comparative studies on common index identification models across different river types.To address this issue,this study applies five remote sensing index models(RDRI,NDSI,MNDSI,NDWI,and reflectance threshold method)to analyze the threshold stability,accuracy,and applicability of these models across six study areas with different river characteristics in the upper reaches of the Yellow River,covering three river types.The results show that the construction methods of the five remote sensing index models consistently indicate that the spectral characteristics of river ice in visible,near-infrared,and shortwave infrared bands are the most critical foundation for river ice identification.The RDRI index performs best in multiple aspects,with an average kappa coefficient of 0.9144,and is recommended as the optimal choice for river ice index identification.The NDSI and MNDSI indices can effectively eliminate shallow snow interference by adjusting thresholds.The NDSI,MNDSI,and NDWI indices perform well in the headwater study areas,while the reflectance threshold method,though slightly inferior to the RDRI index in performance,still has certain application value due to its simplicity.Among different river types,the five remote sensing index models exhibit the highest accuracy in straight rivers,followed by meandering rivers,and the lowest in braided rivers.

关 键 词：河冰遥感 Landsat-8 OLI/TIRS 遥感指数 精度评价 黄河上游 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]