雪数据集研究综述

doi:10.13249/j.cnki.sgs.2013.07.878

摘要/Abstract

摘要：

大范围的雪盖变化是气候变化的指示剂,雪通过其自身的物理性质调节着地气之间的物质与能量循环,还能影响地表径流,调节水文循环,甚至在全球生态系统中发挥着重要的作用,因此建立数据集,实时监测雪盖的变化就变得非常必要。通过阅读大量文献,总结目前应用较为广泛的数据集,主要包括可见光/近红外数据集如NOAA数据集、MODIS数据集,微波数据集如SMMR数据集、AMSR-E数据集,以及多数据源的数据集。分析各种数据集的生成原理和优缺点,对目前雪数据集研究中可能存在的问题进行总结。

关键词: 雪数据集, 积雪覆盖, 雪水当量, 雪深, 遥感

Abstract:

The climate change is indicated by wide changes of snow cover. Through its distinctive physical properties, snow plays an important role in the global ecological system not only by regulating the material and energy cycle between land and atmosphere, but also by influencing surface runoff and the hydrologic cycle. After researching and comparing a lot of literatures, we summarized the frequently used data sets. The NOAA data sets which have the longest time series in visible/near infrared data sets are widely applied in monitoring snow cover over the continents and providing the input to the climate and hydrological numerical simulations. With better spatial resolution(1km or better), MODIS data sets which have great potential in the snow extraction can derive the snow cover through NDSI, a normalized index between band 4 and band 6. Microwave data sets are able to penetrate clouds and to detect the information about snow depth and snow water equivalent easily. Scanning Multichannel Microwave Radiometer (SMMR) and Special Sensor Microwave/Imager (SSM/I) data sets are the earliest microwave products for snow monitoring, while the coarse spatial resolution of which limits their application. AMSR-E data sets improve the resolution (25 km) and are proven to be in good agreement with the measured values. To solve the problems existing in the single-source data sets, many researchers combine the advantages of different data sources and develop new algorithms to improve the accuracy and quality of the data sets. The synthesized data sets include the integrated datasets from model and observational data, the integration between observed data and remote sensing sensor, the combination between sensors and multi-source data sets. Among the above mentioned data sets, the combination between sensors, such as the combination between the MODIS and the AMSR-E, can enlarge the advantages (good spatial resolution of MODIS and anti-interference of AMSR-E) and overcome the shortcomings (MODIS is easily affected by cloud cover while AMSR-E has bad spatial resolution). After analyzing the theoretical underpinnings, the characteristics of key products, advantages and disadvantages of various data sets, this article concluded some problems existing in the snow datasets research and discussed the current and future directions in their application and development.

Key words: snow data sets, snow cover, snow water equivalent, snow depth, remote sensing

中图分类号:

TP79

于灵雪, 张树文, 卜坤, 杨久春, 颜凤芹, 常丽萍. 雪数据集研究综述[J]. 地理科学, 2013, 33(7): 878-883.

Ling-xue YU, Shu-wen ZHANG, Kun BU, Jiu-chun YANG, Feng-qin YAN, Li-ping CHANG. A Review on Snow Data Sets[J]. SCIENTIA GEOGRAPHICA SINICA, 2013, 33(7): 878-883.

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