| 利用Landsat TM数据和地面观测数据验证GLASS反照率产品 |
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| 引用本文： | 王立钊,郑学昌,孙林,刘强,刘素红.利用Landsat TM数据和地面观测数据验证GLASS反照率产品[J].遥感学报,2014,18(3):547-558. |
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| 作者姓名： | 王立钊 郑学昌 孙林 刘强 刘素红 |
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| 作者单位： | 北京师范大学遥感科学国家重点实验室, 遥感与地理信息系统研究中心, 地理学与遥感科学学院, 北京 100875;山东科技大学测绘学院, 山东 青岛 266590;山东科技大学测绘学院, 山东 青岛 266590;北京师范大学遥感科学国家重点实验室, 遥感与地理信息系统研究中心, 地理学与遥感科学学院, 北京 100875;北京师范大学 全球变化与地球系统科学研究院, 北京 100875;北京师范大学遥感科学国家重点实验室, 遥感与地理信息系统研究中心, 地理学与遥感科学学院, 北京 100875 |
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| 基金项目： | 国家高技术研究发展计划（863计划）（编号：2009AA122100）；国家自然科学基金（编号：41171262） |
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| 摘 要： | Global LAnd Surface Satellite Products System(GLASS)反照率产品基于Angular Bin(AB)算法,仅使用单一观测角度的地表或大气层顶反射率数据就能较为准确地反演地表宽波段反照率,具有较高的时间分辨率,可以反映降雪、融雪、收割等状况下地表反照率的快速变化。遵循"一检两恰"的验证流程对这一反照率产品进行验证,首先使用FLUXNET站点验证数据对AB算法反演的Landsat Thematic Mapper(TM)高分辨地表反照率数据进行验证,再将TM高分辨反照率聚合到GLASS像元尺度对GLASS反照率产品进行验证。挑选FLUXNET的5个站点,筛选无云条件下的TM高分辨率影像,共获得103组有效验证数据。验证结果表明,GLASS反照率产品具有较高的精度,总体误差约为0.0163,可以满足大多数应用的精度需求。
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| 关 键 词： | 反照率验证 GLASS TM 尺度转换 FLUXNET |
| 收稿时间： | 2013/5/22 0:00:00 |
| 修稿时间： | 2013/9/28 0:00:00 |
Validation of GLASS albedo product through Landsat TM data and ground measurements |
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| WANG Lizhao,ZHENG Xuechang,SUN Lin,LIU Qiang and LIU Suhong.Validation of GLASS albedo product through Landsat TM data and ground measurements[J].Journal of Remote Sensing,2014,18(3):547-558. |
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| Authors: | WANG Lizhao ZHENG Xuechang SUN Lin LIU Qiang and LIU Suhong |
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| Institution: | State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China;College of Geomatics, Shandong University of Science and Technology, Shandong, Qingdao 266590, China;College of Geomatics, Shandong University of Science and Technology, Shandong, Qingdao 266590, China;State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China;College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China;State Key Laboratory of Remote Sensing Science, Research Center for Remote Sensing and GIS, and School of Geography, Beijing Normal University, Beijing 100875, China |
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| Abstract: | The Global LAnd Surface Satellite Products System (GLASS) albedo product provides a gap-filled shortwave albedo map with high temporal resolution through which the occurrence of snow and rain and the variation of vegetation status can be detected. The GLASS albedo is retrieved with the Angular Bin (AB) algorithm, which can estimate the shortwave albedo from a single observation of reflectance. To assess the accuracy of this albedo product, FLUXNET observations were used to calculate the actual surface albedo as the true value to validate the high-spatial resolution albedo derived from Landsat Thematic Mapper (TM) imagery at 30 m by the AB algorithm. The Landsat TM albedo was then aggregated to 1 km resolution and was compared with the GLASS albedo at 1 km. The absolute error of the GLASS albedo is less than 0.0163, which demonstrates itsreliabilityfor most application requirements. |
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| Keywords: | albedo validation GLASS TM scaling FLUXNET |
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