高光谱遥感积雪制图算法及验证  

Snow Mapping Algorithm Development and Validation Using Hyperspectral Data

作　　者：李震[1] 施建成[2] 

机构地区：[1]中国科学院遥感应用研究所遥感信息科学开放研究实验室,北京100101 [2]加利福尼亚大学计算地球科学研究所,圣巴巴拉ca93106

出　　处：《测绘学报》2001年第1期67-73,共7页Acta Geodaetica et Cartographica Sinica

基　　金：国家重点基础研究发展规划项目! (G19980 40 80 0 ) ;N ASA(40 0 0 10 15 )

摘　　要：雪盖面积是高山地区和季节雪盖区水文和气象模型的重要输入因子。机载和星载遥感数据提取的雪盖面积是融雪径流模型的重要组成部分。对应不同传感器件的光谱特征 ,多种分类方法被相继提出。但是 ,缺乏相对独立的验证手段来评价各种分类方法 ,其主要原因是缺乏地面真实状态数据。针对该现状 ,本研究利用高光谱图像的细分光谱特征 ,建立高光谱影像及其对应“地面真相”的像对数据库来发展和验证积雪制图算法 ,并展示 MODIS积雪制图算法验证和 ASTER混合像元分解雪盖制图算法研究的应用实例。Snow-covered area (SCA) is a crucial input to hydrologic and climatologic modeling of alpine and other seasonally snow-covered regions. Satellite- and airborne-derived measurements of snow covered area have been used in snowmelt runoff models. In corresponding to different sensor spectral characteristics, many classification methods for snow mapping were developed. However, the independent validation for these techniques have not been carried out due to difficulties in accessing ground truth of snow covered area. In this study, we demonstrate an establishment of a database which contains a large amount ground truth of SCA from aerial photo with high ground resolution, and it coupled with image data (AVIRIS and MAS) with high spectral resolution, from which the most of satellite measurements can be simulated, for snow mapping algorithm development and validation. We will show its applications example in the validation of MODIS snow mapping algorithm and the development of ASTER snow mapping algorithm.

关 键 词：高光谱 AVIRIS 雪盖面积 遥感制图 传感器 成像光谱仪 MDDIS数据 

分 类 号：P283.8[天文地球—地图制图学与地理信息工程]