| 黑河综合遥感联合试验数据发布 |
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| 引用本文： | 李新,李小文,李增元.黑河综合遥感联合试验数据发布[J].遥感技术与应用,2010,25(6):761-765. |
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| 作者姓名： | 李新 李小文 李增元 |
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| 作者单位： | (1.中国科学院寒区旱区环境与工程研究所,甘肃 兰州730000;;
2.中国科学院遥感应用研究所,北京100101;;
3.北京师范大学,北京100875;4.中国林业科学研究院资源信息研究所,北京100091) |
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| 基金项目： | 中国科学院西部行动计划(二期)项目，国家973计划项目，国家863计划子课题 |
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| 摘 要： | “黑河综合遥感联合试验”(Watershed Allied Telemetry Experimental Research,WATER)是在我国第二大内陆河流域-黑河流域开展的大型航空、卫星遥感和地面同步观测试验。在试验加强观测期结束两年之际,试验数据集正式发布,实现了发展多尺度、多分辨率、高质量并最终完全共享的综合数据集的目标。本文是“黑河综合遥感联合试验”数据专栏的序言,概述了试验数据信息系统的意义、数据集的构成、数据质量控制的基本措施和流程,以及数据共享政策。我们热情邀请国内外同行在内陆河水文与生态研究、定量遥感研究等多方面使用该数据集,共同推进其广泛应用。
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| 关 键 词： | 遥感试验 黑河流域 数据共享 数据质量控制 |
Watershed Allied Telemetry Experimental Research (WATER) Datasets are Available for Open Access |
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| LI Xin,LI Xiao-wen,LI Zeng-yuan.Watershed Allied Telemetry Experimental Research (WATER) Datasets are Available for Open Access[J].Remote Sensing Technology and Application,2010,25(6):761-765. |
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| Authors: | LI Xin LI Xiao-wen LI Zeng-yuan |
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| Affiliation: | (1.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China;2.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;3.Beijing Normal University,Beijing 100875,China;;
4.Institute of Forest Resource Information Techniques,Chinese Academy of Forestry,Beijing 100091,China) |
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| Abstract: | Watershed Allied Telemetry Experimental Research (WATER) is a simultaneous airborne,satellite\|borne and ground\|based remote sensing experiment conducted in the Heihe River Basin,a typical inland river basin in the northwest of China.To develop an open and free,multi\|scale,high quality,and integrated dataset is one of the major objectives of WATER.After a data processing period lasting for two years from mid\|2008 to mid\|2010,the dataset is now available at http://westdc.westgis.ac.cn/water or http://rsdc.bnu.edu.cn for open access.As a preface of the WATER data special issue,we introduce the significance of the WATER data information system,datasets collected during WATER observation periods,data quality control,and data sharing policy.Researchers both in China and globally are invited to use the data in watershed hydrological and ecological modeling,quantitative remote sensing,and other research works.Feedbacks are invited in order to further improve the data quality.
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| Keywords: | Remote sensing experiment Heihe River Basin Data sharing Data quality control |
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