300 BC-1900 AD无定河流域城镇时空格局演变

通过分析和整理从战国中晚期（约300 BC）至清末（约1900 AD）无定河流域历代县级及以上城址的位置、兴废年代数据,结合行政区划沿革、经济社会发展、政权更迭等资料,分析流域城镇格局的时空演变过程。研究表明：① 受气候周期性波动影响,无定河流域城镇的兴起与衰废具有明显的周期性特征,城镇几何中心的移动轨迹具有明显的“西北—东南”向潮汐性运动特征;② 城址存续年限普遍较短,具有明显的阶段性特征,流域内曾存在过4个阶段性中心城镇,中心城镇移动的方向和过程与城镇几何中心的潮汐性移动过程趋势一致;③ 流域城镇空间格局可分为3种类型,即秦汉与隋唐时期的沿河流谷地分布,宋、明两代的沿边境线与长城分布,以及元、清两代集中于流域下游分布。流域城镇未来的发展布局应重视气候变化对城镇分布的长期影响,关注区域环境的脆弱性,合理安排城镇体系发展规模与布局。     

Rapid,high-resolution detection of environmental change over continental scales from satellite data – the Earth Observation Data Cube

The effort and cost required to convert satellite Earth Observation (EO) data into meaningful geophysical variables has prevented the systematic analysis of all available observations. To overcome these problems, we utilise an integrated High Performance Computing and Data environment to rapidly process, restructure and analyse the Australian Landsat data archive. In this approach, the EO data are assigned to a common grid framework that spans the full geospatial and temporal extent of the observations – the EO Data Cube. This approach is pixel-based and incorporates geometric and spectral calibration and quality assurance of each Earth surface reflectance measurement. We demonstrate the utility of the approach with rapid time-series mapping of surface water across the entire Australian continent using 27 years of continuous, 25?m resolution observations. Our preliminary analysis of the Landsat archive shows how the EO Data Cube can effectively liberate high-resolution EO data from their complex sensor-specific data structures and revolutionise our ability to measure environmental change.     

耦合魔方——一个分析人地系统耦合机理的多维框架

Understanding the interactions between humans and nature in the Anthropocene is central to the quest for both human wellbeing and global sustainability.However,the time-space compression,long range interactions,and reconstruction of socio-economic structures at the global scale all pose great challenges to the traditional analytical frameworks of human-nature systems.In this paper,we extend the connotation of coupled human and natural systems(CHANS)and their four dimensions—space,time,appearance,and organization,and propose a novel framework:“Coupled Human and Natural Cube”(CHNC)to explain the coupling mechanism between humans and the natural environment.Our proposition is inspired by theories based on the human-earth areal system,telecoupling framework,planetary urbanization,and perspectives from complexity science.We systematically introduce the concept,connotation,evolution rules,and analytical dimensions of the CHNC.Notably there exist various“coupling lines”in the CHNC,connecting different systems and elements at multiple scales and forming a large,nested,interconnected,organic system.The rotation of the CHNC represents spatiotemporal nonlinear fluctuations in CHANS in different regions.As a system continually exchanges energy with the environment,a critical phase transition occurs when fluctuations reach a certain threshold,leading to emergent behavior of the system.The CHNC has four dimensions—pericoupling and telecoupling,syncoupling and lagcoupling,apparent coupling and hidden coupling,and intra-organization coupling and inter-organizational coupling.We mainly focus on the theoretical connotation,research methods,and typical cases of telecoupling,lagcoupling,hidden coupling,and inter-organizational coupling,and put forward a human-nature coupling matrix to integrate multiple dimensions.In summary,the CHNC provides a more comprehensive and systematic research paradigm for understanding the evolution and coupling mechanism of the human-nature system,which expands the analytical dimension of CHANS.The CHNC also provides a theoretical support for formulating regional,sustainable development policies for human wellbeing.     

基于三维魔方的芜湖市域主体功能区划研究

按照一定的分区原则,运用适当分区技术路径,合理选择主体功能区划指标体系,综合运用层次分析法和熵值法确定指标权重,从资源生态保护度、社会经济发展强度、发展潜力3个方面分别进行指标评价,将评价单元划分不同等级.在此基础上,采用三维魔方法,构建魔方单元与主体功能区对应关系,将市域划分为优化开发区域、重点开发区域、适度开发区域、限制开发区域,定性确定禁止开发区域,分区评价及提出相应发展策略.     

基于三维魔方的芜湖市域主体功能区划研究

按照一定的分区原则,运用适当分区技术路径,合理选择主体功能区划指标体系,综合运用层次分析法和熵值法确定指标权重,从资源生态保护度、社会经济发展强度、发展潜力3个方面分别进行指标评价,将评价单元划分不同等级.在此基础上,采用三维魔方法,构建魔方单元与主体功能区对应关系,将市域划分为优化开发区域、重点开发区域、适度开发区域...     

基于ODC的国产卫星影像存储与应用研究

随着地球观测进入大数据时代,传统的数据管理技术已经难以适应大数据需求, Open Data Cube （ODC）作为新型的开源的地球观测数据管理与分析平台,适合进行时间序列数据的高性能计算和探索性数据分析,是亚大区域综合地球观测系统AOGEOSS的重要技术支撑平台。但当前ODC对国产卫星影像支持不友好,缺乏自动化管理和数据组织工具,使用ODC进行国产卫星影像数据管理的技术不成熟。因此,本文以高分一号卫星影像为例,通过开发ODC_GFTool中间件和自定义高分卫星影像产品格式探索ODC框架下国产影像数据自动化管理流程,最后以鄱阳湖为试验区,进行了基于ODC框架的水体提取应用实验,论证了ODC框架下国产卫星数据存取的可行性,研究结果表明相较于传统的数据处理工具ODC具有明显的效率优势,能够为AOGEOSS基础设施建设和国产卫星影像数据管理提供一定的参考。     

城镇化与生态环境“耦合魔方”的基本概念及框架

城镇化与生态环境耦合系统是人地关系地域系统的重要一环,面对新时代全球尺度的远程联系、时空压缩与社会经济重构,传统的研究框架急需转型和升级。借鉴人地关系地域系统、远程耦合和星球城市化等理论,从复杂性科学视角出发,首先解析了城镇化与生态环境耦合系统的内涵,进而从空间、时间、表象和组织四个维度,提出了一个解释城镇化与生态环境耦合机理的分析框架——“耦合魔方（CHNC）”,并论述了其概念、内涵、演化规律和分析框架：魔方中的系统与系统、系统与要素、要素与要素间通过各种“耦合线”相互联系与作用,形成一个彼此嵌套、相互联系、对立统一的有机整体;魔方的旋转代表了不同地域间城镇化与生态环境的时空非线性耦合作用,系统通过不断能量交换,产生临界相变与整体涌现性,长期处于有序与无序之间的中间状态;“耦合魔方”包括近远程耦合、近远期耦合、组内间耦合和显隐性耦合,共四个维度,八种类型。重点剖析了远程、远期、组间和隐性耦合的科学内涵、研究方法与典型案例,并形成更具普遍意义的人地关系耦合矩阵。“耦合魔方”为揭示城镇化与生态环境耦合系统的演化和机理提供一个更加全面系统的跨学科研究范式,拓展了人地系统耦合研究的分析维度,为面向人类福祉的区域可持续发展政策制定提供科学支撑。     

Data Cube on Demand (DCoD): Generating an earth observation Data Cube anywhere in the world

To tackle Big Data challenges such as Volume, Variety, and Velocity, the Earth Observations Data Cube (EODC) concept has emerged as a solution for lowering barriers and offering new possibilities to harness the information power of satellite EO data. However, installing, configuring, and managing an EODC instance is still difficult requiring specific knowledge and capabilities. Consequently, facilitating and automating the generation and provision of EODC given specific user’s requirements can be beneficial.In response to this issue, this paper presents the Data Cube on Demand (DCoD) approach, a proof-of-concept that aims at facilitating the generation and use of an EODC instance virtually anywhere in the World. Users are only required to specify an area of interest; select the types of sensors between Landsat 5-7-8 and Sentinel-2; choose a desired temporal frame; and provide their email address to receive notifications. Then automatically an empty ODC instance is instantiated and desired data are ingested.The proposed approach has been successfully tested in two sites in Bolivia and DRC in the field of environmental monitoring. It has lowered many complexity barriers of such a new technology; greatly facilitated the generation and use of the Data Cube technology; enhanced data sovereignty; and ultimately can help reaching large adoption and acceptance.