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基于SPOT/VEGETATION时间序列的冬小麦物候提取方法

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农业工程学报 2009年第6期25卷 174-179,F0003页

作者：鹿琳琳郭华东遥感科学国家重点实验室中国科学院遥感应用研究所北京100101 中国科学院对地观测与数字地球科学中心北京100190

农作物物候信息的获取十分重要。近年来,开展了大量利用时序遥感数据提取植被物候的研究,但这些研究中提出的方法主要应用于森林或草地等植被类型。由于冬小麦的光谱指数时间序列有着独特的特性,利用这些方法不能获取较好的冬小麦物候... 详细信息

农作物物候信息的获取十分重要。近年来,开展了大量利用时序遥感数据提取植被物候的研究,但这些研究中提出的方法主要应用于森林或草地等植被类型。由于冬小麦的光谱指数时间序列有着独特的特性,利用这些方法不能获取较好的冬小麦物候提取结果。研究提出了一种新的物候提取方法,能够从SPOT/VEGETATION NDVI S10产品时间序列中成功的提取出冬小麦的返青期等详细的物候信息。研究选取一个位于山东省济宁市的典型的冬小麦种植区对该方法进行验证。结果表明,这种方法能够有效的消除遥感数据中的噪音对提取结果造成的影响,可以达到较以往的物候提取方法更满意的拟合效果和更符合实际的物候提取结果。

关键词：遥感 VEGETATION 时间序列冬小麦物候

DBAR–An International Science Program for the Digital Belt and Road

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Bulletin of the Chinese Academy of Sciences 2018年第3期32卷 173-182页

作者： guo huadong Zeeshan Shirazi LIANG Dong LIU Jie Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences No.9 Dengzhuang South RoadBeijing 100094China College of Resources and Environment Universily of Chinese Academy of SciencesBeijing 100049China

During the first decade of the 21st century,global support for major international frameworks, such as the Sendai Framework for Disaster Risk Reduction and the Paris Agreement on Climate Change,and the Sustainable Development Goals (SDGs),represented international consensus on reducing mortal and economic risks and vulnerabiiities of human populations around the *** risks were recognized to be a consequence of modern development, environmental degradation,natural disasters and global climate *** frameworks are oriented towards reducing and reversing anthropogenic effects on the ecology and climate and towards adopting a more green and sustainability driven development approach.

关键词： SDGs approach

The Digital Belt and Road program in support of regional sustainability

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International Journal of Digital Earth 2018年第7期11卷 657-669页

作者： huadong guo Jie Liu Yubao Qiu Massimo Menenti Fang Chen Paul F.Uhlir Li Zhang John van Genderen Dong Liang Ishwaran Natarajan Lanwei Zhu Jiuliang Liu Institute of Remote Sensing and Digital Earth Chinese Academy of SciencesBeijingPeople’s Republic of China Department of Geoscience and Remote Sensing Delft University of TechnologyDelftNetherlands Department of Earth Observation Science University of TwenteEnschedeNetherlands College of Resources and Environment University of Chinese Academy of SciencesBeijingPeople’s Republic of China College of Geospatial Information Science and Technology Capital Normal UniversityBeijingPeople’s Republic of China Information Policy and Management CallicoonNYUSA

The Belt and Road initiative has a significant focus on infrastructure,trade,and economic development across a vast region,and it also provides significant opportunities for sustainable *** combined pressure of climate variability,intensified use of resources,and the fragility of ecosystems make it very challenging,however,to achieve future *** develop the path in a sustainable way,it is important to have a comprehensive understanding of these issues across nations and evaluate them in a scientific and well-informed *** this context,the Digital Belt and Road(DBAR)program was initiated as an international venture to share expertise,knowledge,technologies,and data to demonstrate the role of Earth observation science and technology and big Earth data applications to support large-scale *** this paper,we identify pressing challenges,present the research priorities and foci of the DBAR program,and propose solutions where big Earth data can make significant *** paper calls for further joint actions and collaboration to build a digital silk road in support of sustainable development at national,regional and global levels.

关键词： Digital Belt and Road program(DBAR) big Earth data Earth observation research data international cooperation sustainable development goals(SDGs)

Big Earth Data:a practice of sustainability science to achieve the Sustainable Development Goals

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Science Bulletin 2021年第11期66卷 1050-1053,M0003页

作者： huadong guo Fang Chen Zhongchang Sun Jie Liu Dong Liang Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100094China University of Chinese Academy of Sciences Beijing 100049China

The 2030 Agenda for Sustainable Development is a programmatic document for future global *** the past five years,all countries of the world have made great efforts to achieve the United Nations Sustainable Development... 详细信息

关键词： Sustainable 创新实践大数据

Challenges and opportunities in remote sensing-based crop monitoring: a review

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National Science Review 2023年第4期10卷 203-219页

作者： Bingfang Wu Miao Zhang Hongwei Zeng Fuyou Tian Andries B Potgieter Xingli Qin Nana Yan Sheng Chang Yan Zhao Qinghan Dong Vijendra Boken Dmitry Plotnikov huadong guo Fangming Wu Hang Zhao Bart Deronde Laurent Tits Evgeny Loupian State Key Laboratory of Remote Sensing Science Aerospace Information Research Institute Chinese Academy of Sciences School of Resources and Environment University of Chinese Academy of Sciences Executive Committee of Group on Earth Observations Global Agricultural Monitoring (GEOGLAM) Queensland Alliance for Agriculture and Food Innovation The University of Queensland Department of Remote Sensing Flemish Institute of Technological Research Department of Geography and Earth Science University of Nebraska-Kearney Department of Satellite Monitoring Technologies Space Research Institute of Russian Academy of Sciences

Building a more resilient food system for sustainable development and reducing uncertainty in global food markets both require concurrent and near-real-time and reliable crop information for decision ***-driven crop monitoring has become a main method to derive crop information at local, regional,and global scales by revealing the spatial and temporal dimensions of crop growth status and ***, there is a lack of quantitative, objective, and robust methods to ensure the reliability of crop information, which reduces the applicability of crop monitoring and leads to uncertain and undesirable consequences. In this paper, we review recent progress in crop monitoring and identify the challenges and opportunities in future efforts. We find that satellite-derived metrics do not fully capture determinants of crop production and do not quantitatively interpret crop growth status; the later can be advanced by integrating effective satellite-derived metrics and new onboard sensors. We have identified that ground data accessibility and the negative effects of knowledge-based analyses are two essential issues in crop monitoring that reduce the applicability of crop monitoring for decisions on food security. Crowdsourcing is one solution to overcome the restrictions of ground-truth data accessibility. We argue that user participation in the complete process of crop monitoring could improve the reliability of crop *** users to obtain crop information from multiple sources could prevent unconscious ***, there is a need to avoid conflicts of interest in publishing publicly available crop information.

关键词： crop monitoring crop condition crop production Ground data Remote Sensing

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地球大数据科学工程

中国科学院院刊 2018年第8期33卷 818-824页

作者：郭华东中国科学院遥感与数字地球研究所北京100094

大数据是知识经济时代的战略高地,是国家和全球的新型战略资源。作为大数据重要组成部分的地球大数据,正成为地球科学的一个新的前沿领域,在推动地球科学的深度发展以及重大科学发现上意义重大。文章在分析地球大数据特点的基础上,介绍... 详细信息

大数据是知识经济时代的战略高地,是国家和全球的新型战略资源。作为大数据重要组成部分的地球大数据,正成为地球科学的一个新的前沿领域,在推动地球科学的深度发展以及重大科学发现上意义重大。文章在分析地球大数据特点的基础上,介绍了正在开展的中国科学院战略性先导科技专项"地球大数据科学工程",剖析了专项目标、科学内涵,并对地球大数据促进联合国可持续发展目标实现进行了分析。地球大数据科学工程集成地球科学、信息科学、空间科技等领域交叉融合前沿科学技术,为地球大数据服务地球科学发展带来新的前景。

关键词：地球大数据对地观测科学发现决策支持可持续发展

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数字地球:10年发展与前瞻

地球科学进展 2009年第9期24卷 955-962页

作者：郭华东中国科学院对地观测与数字地球科学中心国际数字地球学会北京100190

数字地球是20世纪末期问世的定量化研究地球的一个新的战略方向,是集空间科技、信息科技、地球科学等于一体的交叉学科领域。描述了数字地球的缘起和10年发展历程、概念模型与技术框架、科学与商业共享系统,多层次多学科应用领域和包括... 详细信息

数字地球是20世纪末期问世的定量化研究地球的一个新的战略方向,是集空间科技、信息科技、地球科学等于一体的交叉学科领域。描述了数字地球的缘起和10年发展历程、概念模型与技术框架、科学与商业共享系统,多层次多学科应用领域和包括国际数字地球会议、学会、学报在内的学术平台的建设。进一步指出数字地球的重要作用与巨大的发展潜力,提出构建数字地球科学平台的设想。

关键词：数字地球空间信息共享平台

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地球大数据及其推动可持续发展的作用

Science Bulletin 2024年第11期69卷 1623-1627页

作者：郭华东梁栋 International Research Center of Big Data for Sustainable Development Goals Beijing 100094China Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China University of Chinese Academy of Sciences Beijing 100049China

The information age has been a product of, and has been fueled by, the process of decades-long digitization aided by digital technologies that progressed rapidly, consequently transforming human societies globally.

关键词：大数据 globally digit

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科学大数据――国家大数据战略的基石

中国科学院院刊 2018年第8期33卷 768-773页

作者：郭华东中国科学院遥感与数字地球研究所北京100094

作为人类的新型战略资源,大数据已成为知识经济时代的战略高地。其少量依赖因果关系、主要依靠数据相关性发现知识的新模式,使得其成为继经验、理论和计算模式之后的数据密集型科学范式的典型代表,带来了科研方法论的变革,正成为科学发... 详细信息

作为人类的新型战略资源,大数据已成为知识经济时代的战略高地。其少量依赖因果关系、主要依靠数据相关性发现知识的新模式,使得其成为继经验、理论和计算模式之后的数据密集型科学范式的典型代表,带来了科研方法论的变革,正成为科学发现的新引擎。科学大数据作为大数据的重要分支,具有不可重复性、高度不确定性、高维性及计算分析高度复杂性的内部特征,以及在数据内容、数据体量、数据获取、数据分析等方面的外部特征,这给科学大数据的处理技术与方法提出了新的挑战。在以上分析基础上,文章提出了科学认知科学大数据,建设科学大数据基础设施,建立科学数据研究中心,以及构建科学大数据学术平台等建议。

关键词：大数据科学大数据数据驱动数据密集型科学