荒漠生态系统大数据资源平台建设与服务
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摘要
荒漠化治理涉及社会的多领域和多层级,需要处理整合各类纷杂的信息数据,大数据的出现及其技术的成熟,为荒漠化治理提供有力支持。研究从全球、全国、区域或流域、样地四个尺度上,阐述荒漠生态系统数据资源整合与挖掘及其数据驱动应用服务的构想,并分别从四个尺度上,较为详细的介绍了各尺度需要整合的数据资源及其数据的应用服务,发挥数据资源价值,进而促进荒漠生态系统大数据平台的构建,为政府、企业、社会组织、公众等在内的多元主体科学参与荒漠化治理和决策提供有力支撑。
Desertification control involves many fields and multiple levels of society,which needs to integrate and process all kinds of miscellaneous information data. With the emergence of big data and the improvement of big data technology,constructing the big data platform of desert ecosystems would obtain feasible desertification data analysis and decision making results so as to provide strong support for the desertification control. The data integration and mining of desert ecosystem and the ideas of data driven application services were expounded from four scales( i. e.,global,national,regional or watershed,and sample plot). Meanwhile,the data resources needed to be integrated at each scale and the data application services were introduced in detail. The integration and mining resources of desert ecosystem data resources were realized,and a big data platform of desert ecosystem was built. The applications and services were driven by data,and thus the platform transition from the data sharing to the services and exerting the data resource value was achieved. The construction of big data platform of desert ecosystem would provide powerful supports for the scientific participation of multiple levels( including government,enterprise,social organization and the public) and for the desertification control and decision making.
Desertification control involves many fields and multiple levels of society,which needs to integrate and process all kinds of miscellaneous information data. With the emergence of big data and the improvement of big data technology,constructing the big data platform of desert ecosystems would obtain feasible desertification data analysis and decision making results so as to provide strong support for the desertification control. The data integration and mining of desert ecosystem and the ideas of data driven application services were expounded from four scales( i. e.,global,national,regional or watershed,and sample plot). Meanwhile,the data resources needed to be integrated at each scale and the data application services were introduced in detail. The integration and mining resources of desert ecosystem data resources were realized,and a big data platform of desert ecosystem was built. The applications and services were driven by data,and thus the platform transition from the data sharing to the services and exerting the data resource value was achieved. The construction of big data platform of desert ecosystem would provide powerful supports for the scientific participation of multiple levels( including government,enterprise,social organization and the public) and for the desertification control and decision making.
引文
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[3]蓝学,韦绪,覃德文.浅谈大数据分析在生态林业上的运用[J].经济研究导刊,2015(6):55-56.
[4]易善君,李君轶,李秀琴,等.基于微博大数据的空气质量与居民情感相关性对比研究-以西安市和上海市为例[J].干旱区资源与环境,2017,31(5):39-44.
[5]李文彦.基于大数据的荒漠化治理对策研究[J].甘肃科技,2016,32(15):38-40.
[6]屠志方,李梦先,孙涛.第五次全国荒漠化和沙化监测结果及分析[J].林业资源管理,2016(1):1-5.
[7]国家林业局.中国荒漠化和沙化状况公报[M].北京:国家林业局,2011:1-24.
[8]国家林业局.中国荒漠化和沙化状况公报[M].北京:国家林业局,2015:1-16.
[9]李亚云,杨秀春,朱晓华,等.遥感技术在中国土地荒漠化监测中的应用进展[J].地理科学进展,2009(1):55-62.
[10]潘竟虎,秦晓娟.基于植被指数-反照率特征空间的沙漠化信息遥感提取—以张掖绿洲及其附近区域为例[J].测绘科学,2010(3):193-195.
[11]冯益明,吴波,周娜,等.基于遥感影像识别的戈壁分类体系研究[J].中国沙漠,2013,33(3):635-641.
[12]屈建军,张克存,张伟民,等.几种典型戈壁床面风沙流特性比较[J].中国沙漠,2012,32(2):285-290.
[13]京津风沙源治理工程二期规划思路研究项目组.京津风沙源治理工程二期规划思路研究[M].北京:中国林业出版社,2013:1-12.
[14]刘拓,李忠平.京津风沙源治理工程十年建设成效分析[M].北京:中国林业出版社,2010:1-36.