积雪遥感监测产品研究与应用进展

Advances in research and application of remotesensing-based snow monitoring products

积雪是表征地表冰冻圈的重要因子,也是重要的天气、水文现象的参数。借助遥感技术对积雪形态及变化进行长时序、大范围监测,在全球气候变化研究、水文水资源调查和地质灾害预防等领域有重要作用。经过数十年的发展,国内外积雪遥感监测技术领域取得了很大进展,积雪遥感监测产品种类不断丰富,积雪反演的算法也在不断改进。文章对现有应用比较广泛的积雪产品按照积雪范围产品、积雪覆盖率产品和雪深/雪水当量产品3类进行归纳总结,梳理当前典型积雪范围及覆盖率产品和雪深/雪水当量产品的业务化遥感反演算法。文章指出,随着国内外高时间和空间分辨率传感器的不断出现,在光学和微波新数据源、新技术支持下,研究人员逐渐针对区域特点优化积雪反演算法,使得反演精度不断提高,为未来积雪遥感监测产品的不断改进提供更多支持。

Snow proves to be both an important factor in characterizing the surface cryosphere and a critical parameter for weather and hydrological phenomena.Employing remote sensing to conduct long-term and large-scale monitoring of snow morphologies and their changes plays a vital role in research into global climate change,investigations into hydrology and water resources,and geological disaster prevention.After decades of development,significant progress has been made in the field of remote sensing-based snow monitoring technology both in China and abroad.Accordingly,the products for remote sensing-based snow monitoring have become increasingly abundant,and the snow-orientated inversion algorithms have been continuously improved.This paper provides a summary of the existing,widely applied products after categorizing them into three types:snow-cover extent(SEC),snow coverage,and snow depth/snow water equivalent(SWE)products.Furthermore,this study organizes the commercialized remote sensing inversion algorithms used in existing,typical SEC and SWE products.The review of advances in the relevant scientific research reveals that,with the constant presence of sensors with high temporal and spatial resolutions in China and abroad and the support of both novel optical and microwave data sources and new technologies,researchers have gradually improved the accuracy of snow-orientated inversion algorithms by optimizing these algorithms based on regional characteristics.This will provide more support for continuously improving remote sensing-based snow monitoring products in the future.