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学者姓名：余劲松弟
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Abstract ：
Accurate information of sand dune/sheet (SDS) spatial distribution is required by global-scale environmental assessment. However, the great spatio-temporal heterogeneity of SDS and the confusion of SDS to similar land cover types lead to variant feature representations and inadequate classification samples; thus, existing SDS mapping focuses on the regional scale, and the high-quality global SDS map is still lacking. In this study, we proposed a classification strategy and for the first time developed a 30 m resolution global SDS map (GSDS30) in the year 2017 that contained two SDS types, i.e., shifting SDS and semi-fixed/fixed SDS. The proposed strategy started by determining the initial mapping extent of SDS. Then, multi-source features were extracted to capture SDS variations and enlarge the separability of diverse land covers. Thirdly, we developed a prior-constraining Knearest neighbor method to collect global SDS samples. Finally, a local random forest classifier was applied to generate classification results. The evaluation based on two validation sample sets showed good performance on the overall classification accuracy (88.73% and 87.92%), the Kappa coefficient (0.852 and 0.843), and the producer's and user's accuracies for two SDS types. Based on GSDS30, we found that global SDS occupied an area of 10.43 million km2, in which shifting SDS accounted for 60.41% and semi-fixed/fixed SDS accounted for the remaining 39.59%. The majority of SDS was distributed in Africa, Asia, and Oceania, where Australia had the greatest area of SDS. The combination of GSDS30 and population data showed that global SDS was inhabited by 14.5 million people, and 94.95% of them lived in semi-fixed/fixed SDS. This study is the first attempt to automatically produce global SDS map, which is not only necessary for representing the distribution of SDS, but also valuable in managing aeolian desertification and promoting sustainable development.
Keyword ：
30 m 30 m Global land cover Global land cover GSDS30 GSDS30 Multi-source data Multi-source data Sand dune/sheet mapping Sand dune/sheet mapping
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| GB/T 7714 | Zheng, Zhijia , Yu, Jinsongdi , Zhang, Xiuyuan et al. Development of a 30 m resolution global sand dune/sheet classification map (GSDS30) using multi-source remote sensing data [J]. | REMOTE SENSING OF ENVIRONMENT , 2024 , 302 . |
| MLA | Zheng, Zhijia et al. "Development of a 30 m resolution global sand dune/sheet classification map (GSDS30) using multi-source remote sensing data" . | REMOTE SENSING OF ENVIRONMENT 302 (2024) . |
| APA | Zheng, Zhijia , Yu, Jinsongdi , Zhang, Xiuyuan , Du, Shihong . Development of a 30 m resolution global sand dune/sheet classification map (GSDS30) using multi-source remote sensing data . | REMOTE SENSING OF ENVIRONMENT , 2024 , 302 . |
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With the continuous development of Earth Observation technology, resolution of imagery and gridded data has significantly increased, leading to a rapid increase in data volume. To efficiently acquire and analyze these vast amounts of imagery and gridded data, image tiling technology has been developed to effectively access data of interested areas. Tiling technology divides large-scale image data into smaller tiles, providing fast, accurate, and efficient access support for imagery and gridded data. The spatial grid model, as the foundational framework of the new generation of geographic spatial information, plays a critical role in the retrieval, integration, services, and applications of imagery and gridded data resources. When tiling image data based on the spatial grid model, it always generates both complete and incomplete tiles. Particularly, when conducting image tile retrieval using the same rule-based grid in the retrieval area, incomplete tile phenomena along the boundary regions of the retrieved images often occur, resulting in gaps within the retrieval area. To tackle this issue, in this study, we present a new topological model called the Grid Six-Intersection Model (G-6IM), specifically designed for regular rectangular grids, to accurately represent boundary issues in image tiling. Through a practical case study, we demonstrate the effectiveness and practical application potential of the proposed G-6IM model, providing new insights and guidance for the improvement and optimization of imagery and gridded data tiling technology.
Keyword ：
grid grid imagery imagery tiling tiling topology topology
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| GB/T 7714 | Zhang, Ling , Yu, Jinsongdi , Tong, Ruiju et al. Addressing incomplete tile phenomena in image tiling: Introducing the grid six-intersection model [J]. | OPEN GEOSCIENCES , 2024 , 16 (1) . |
| MLA | Zhang, Ling et al. "Addressing incomplete tile phenomena in image tiling: Introducing the grid six-intersection model" . | OPEN GEOSCIENCES 16 . 1 (2024) . |
| APA | Zhang, Ling , Yu, Jinsongdi , Tong, Ruiju , Wei, Dandan , Fan, Yu . Addressing incomplete tile phenomena in image tiling: Introducing the grid six-intersection model . | OPEN GEOSCIENCES , 2024 , 16 (1) . |
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Earth Observation (EO) technology plays an essential role in monitoring environmental challenges and assessing the impact of human activities. As the field of Earth observation enters the era of big data, the exponential growth in data volume presents new challenges for data management and storage. To enhance the efficiency of data sharing and analysis, effectively subdividing and managing these vast datasets becomes crucial. This study proposes an innovative tiling method for three-dimensional EO data cubes, organizing the spatial dimension according to the BeiDou grid and subdividing the third dimension into regular or irregular segments based on specific requirements. By segmenting the data into manageable chunks, this method allows users to select appropriate data for particular application scenarios, reducing data redundancy and improving processing efficiency through smaller data volumes, thereby significantly enhancing the accessibility and utility of the data. This not only simplifies the process of utilizing EO data but also greatly facilitates the effective application of Earth observation information. © 2024 IEEE.
Keyword ：
Digital storage Digital storage Efficiency Efficiency Environmental technology Environmental technology Geometry Geometry Information management Information management Observatories Observatories
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| GB/T 7714 | Cui, Zhanying , Luo, Yuan , Yu, Jinsongdi et al. A Tiled EO Data Cube Based on BeiDou Grid [C] . 2024 : 252-255 . |
| MLA | Cui, Zhanying et al. "A Tiled EO Data Cube Based on BeiDou Grid" . (2024) : 252-255 . |
| APA | Cui, Zhanying , Luo, Yuan , Yu, Jinsongdi , Wei, Dandan . A Tiled EO Data Cube Based on BeiDou Grid . (2024) : 252-255 . |
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Species distribution models (SDMs) are useful tools for describing and predicting the distribution of marine species in data-limited environments. Outputs from SDMs have been used to identify areas for spatial management, analyzing trawl closures, quantitatively measuring the risk of bottom trawling, and evaluating protected areas for improving conservation and management. Cold-water corals are globally distributed habitat-forming organisms that are vulnerable to anthropogenic impacts and climate change, but data deficiency remains an ongoing issue for the effective spatial management of these important ecosystem engineers. In this study, we constructed 11 environmental seabed variables at 500 m resolution based on the latest multi-depth global datasets and high-resolution bathymetry. An ensemble species distribution modeling method was used to predict the global habitat suitability for 10 widespread cold-water coral species, namely, 6 Scleractinian framework-forming species and 4 large gorgonian species. Temperature, depth, salinity, terrain ruggedness index, carbonate saturation state, and chlorophyll were the most important factors in determining the global distributions of these species. The Scleractinian Madrepora oculata showed the widest niche breadth, while most other species demonstrated somewhat limited niche breadth. The shallowest study species, Oculina varicosa, had the most distinctive niche of the group. The model outputs from this study represent the highest-resolution global predictions for these species to date and are valuable in aiding the management, conservation, and continued research into cold-water coral species.
Keyword ：
benthic habitats benthic habitats biogeography biogeography cold-water corals cold-water corals deep sea deep sea ecological niche ecological niche ensemble modeling ensemble modeling habitat suitability model habitat suitability model
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| GB/T 7714 | Tong, Ruiju , Davies, Andrew J. , Yesson, Chris et al. Environmental drivers and the distribution of cold-water corals in the global ocean [J]. | FRONTIERS IN MARINE SCIENCE , 2023 , 10 . |
| MLA | Tong, Ruiju et al. "Environmental drivers and the distribution of cold-water corals in the global ocean" . | FRONTIERS IN MARINE SCIENCE 10 (2023) . |
| APA | Tong, Ruiju , Davies, Andrew J. , Yesson, Chris , Yu, Jinsongdi , Luo, Yuan , Zhang, Ling et al. Environmental drivers and the distribution of cold-water corals in the global ocean . | FRONTIERS IN MARINE SCIENCE , 2023 , 10 . |
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在本公开中，本发明涉及用于在线分析就绪图像和网格立方体的数据存储管理方法和系统。 该方法包括：根据多个图块细分方案存储图像和网格5立方体，每个存储方案对应一个配置，根据匹配规则比较每个立方体的I/O数和数据大小，得到I/O数最小的图块细分存储方案，同时考虑请求数据量及其系数，然后访问对应的图块细分存储方案的目标数据块，以10提高立方体的在线分析就绪性能。 本发明的基于MongoDB的立方体数据存储方法，提高了在线分析就绪应用中立方体目标数据块的访问效率，减少了无效数据块的传输和相应计算能力的消耗，提高了在线分析就绪应用的性能。 15 13
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| GB/T 7714 | Jinsongdi Yu . 在线分析ready图像和网格立方体的数据存储管理方法及系统 : NL2031779[P]. | 2022-05-04 00:00:00 . |
| MLA | Jinsongdi Yu . "在线分析ready图像和网格立方体的数据存储管理方法及系统" : NL2031779. | 2022-05-04 00:00:00 . |
| APA | Jinsongdi Yu . 在线分析ready图像和网格立方体的数据存储管理方法及系统 : NL2031779. | 2022-05-04 00:00:00 . |
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多源异构对地观测（Earth Observation,EO）数据的应用已经深入到国民经济建设的各个领域。然而，不同类型、不同来源、不同部门的数据给空间信息的共享带来了极大的挑战，地球剖分网格和Web服务的结合为多源异构数据的共享问题提供了解决思路。其中，北斗网格具有剖分结构简单、易于使用的特点，可以辅助检索影像数据；Web服务可用于北斗网格码标识下的影像数据检索。因此，本文以北斗网格为参考，建立网格与影像数据的映射关系，提出一种遥感影像数据的北斗网格描述方法和影像数据获取方法，并在RESTful架构的基础上，设计一个北斗网格影像描述Web服务和基于北斗网格码的影像数据获取Web服务原型，实现在同一参考框架下以网格为单元的影像数据互操作。
Keyword ：
RESTful架构 RESTful架构 Web服务 Web服务 北斗网格 北斗网格 地球剖分网格 地球剖分网格 遥感数据共享 遥感数据共享
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| GB/T 7714 | 刘甫 , 余劲松弟 , 魏丹丹 . 基于北斗网格的影像数据REST Web服务系统 [J]. | 计算机与现代化 , 2023 , 5 (11) : 108-112 . |
| MLA | 刘甫 et al. "基于北斗网格的影像数据REST Web服务系统" . | 计算机与现代化 5 . 11 (2023) : 108-112 . |
| APA | 刘甫 , 余劲松弟 , 魏丹丹 . 基于北斗网格的影像数据REST Web服务系统 . | 计算机与现代化 , 2023 , 5 (11) , 108-112 . |
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Species distribution modeling is a widely used technique for estimating the potential habitats of target organisms based on their environmental preferences. These methods serve as valuable tools for resource managers and conservationists, and their utilization is increasing, particularly in marine environments where data limitations persist as a challenge. In this study, we employed the global distribution predictions of six cold-water coral species as a case study to investigate various factors influencing predictions, including modeling algorithms, background points sampling strategies and sizes, and the collinearity of environmental datasets, using both discriminative and functional performance metrics. The choice of background sampling method exhibits a stronger influence on model performance compared to the effects of modeling algorithms, background point sampling size, and the collinearity of the environmental dataset. Predictions that utilize kernel density backgrounds, maintain an equal number of presences and background points for algorithms of BRT, RF, and MARS, and employ a substantial number of background points for MAXENT, coupled with a collinearity-filtered environmental dataset in species distribution modeling, yield higher levels of discriminative and functional performance. Overall, BRT and RF outperformed MAXENT, a conclusion that is further substantiated by the analysis of smoothed residuals and the uncertainty associated with the predicted habitat suitability of Madrepora oculata. This study offers valuable insights for enhancing species distribution modeling in marine benthic environments, thereby benefiting resource management and conservation strategies for benthic species.
Keyword ：
background points background points benthic marine environments benthic marine environments collinearity collinearity model comparison model comparison model evaluation model evaluation modeling algorithms modeling algorithms presence-only presence-only species distribution modeling species distribution modeling
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| GB/T 7714 | Tong, Ruiju , Yesson, Chris , Yu, Jinsongdi et al. Key factors for species distribution modeling in benthic marine environments [J]. | FRONTIERS IN MARINE SCIENCE , 2023 , 10 . |
| MLA | Tong, Ruiju et al. "Key factors for species distribution modeling in benthic marine environments" . | FRONTIERS IN MARINE SCIENCE 10 (2023) . |
| APA | Tong, Ruiju , Yesson, Chris , Yu, Jinsongdi , Luo, Yuan , Zhang, Ling . Key factors for species distribution modeling in benthic marine environments . | FRONTIERS IN MARINE SCIENCE , 2023 , 10 . |
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针对目前行政边界的尺度选择存在不确定性，道路的选取过于依赖其原始的等级划分，融合人文要素的网格细分自动化程度较低等问题，提出一种基于地址模型的城市网格划分方法.首先在网格划分过程中引入地址模型，以地址模型中行政区划要素的层次划分确定行政区划要素选取；然后解析地址模型，处理面向划分主题的人文要素地址数据，抽取更契合划分主题的道路要素，实现一种以行政区划边界和道路为基础框架，贴合应用主题的城市网格划分方法；最后，以福州市鼓楼区兴趣点网格为例验证该方法.实验结果表明：在有效约束条件下，该方法能更有效地融合两类划分要素，并将人文要素信息融入道路选取中，可以实现结合人文要素的自动化网格细分，便于网格的更...
Keyword ：
人文要素 人文要素 地址模型 地址模型 地理网格 地理网格 城市网格划分 城市网格划分 行政区划要素 行政区划要素 道路重要性模型 道路重要性模型
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| GB/T 7714 | 陈晓东 , 余劲松弟 . 地址模型下的城市网格划分方法 [J]. | 华侨大学学报(自然科学版) , 2022 , 43 (03) : 392-402 . |
| MLA | 陈晓东 et al. "地址模型下的城市网格划分方法" . | 华侨大学学报(自然科学版) 43 . 03 (2022) : 392-402 . |
| APA | 陈晓东 , 余劲松弟 . 地址模型下的城市网格划分方法 . | 华侨大学学报(自然科学版) , 2022 , 43 (03) , 392-402 . |
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Datacube emerges as a new paradigm to manage Earth Imagery data in a multidimensional way. Differences in datacube implementations always create barriers to datacube interoperation, while a standardized datacube model has a potential to improve the interoperability. In this research, a standard-based datacube construction method is proposed to address the interoperability of multi-variables of different application fields. Spatial-variable datacube in 3D, which allows analysis performed both on spatial axes and variable axis, hides variable characteristics behind the axis structure, thus enables playing a role as an 'intermediary' to address the challenge of interoperability among variables with different application fields illustrated. © 2022 IEEE.
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| GB/T 7714 | Yu, Jinsongdi , Yang, Yanling , Tong, Ruiju et al. A Study to Manage Multidimensional Imagery Data in a Spatial Variable Datacube [C] . 2022 : 4078-4081 . |
| MLA | Yu, Jinsongdi et al. "A Study to Manage Multidimensional Imagery Data in a Spatial Variable Datacube" . (2022) : 4078-4081 . |
| APA | Yu, Jinsongdi , Yang, Yanling , Tong, Ruiju , Cui, Zhanyin . A Study to Manage Multidimensional Imagery Data in a Spatial Variable Datacube . (2022) : 4078-4081 . |
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提出一种顾及语义关联信息的道路选取方法,通过编写正则表达式模版,从道路周边要素的地址中提取道路信息,建立道路信息与路网中道路的语义关联,计算道路的关联频数值和关联密度值,作为道路的关联特征指标,并融合道路的几何、语义和拓扑特征中的6项主要指标,以熵值法来计算各项指标的权重,共同构建道路的综合选取模型.选取成都市三环内道路网作为实验案例,结果表明:相比于缓冲区计算的方法,本文方法在计算道路周边要素时,数据的综合处理能力更强;数据操作流程化,处理效率更高,稳定性更强.
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| GB/T 7714 | 陈晓东 , 余劲松弟 . 顾及语义关联信息的道路选取方法 [J]. | 海南大学学报（自然科学版） , 2021 , 39 (3) : 227-234 . |
| MLA | 陈晓东 et al. "顾及语义关联信息的道路选取方法" . | 海南大学学报（自然科学版） 39 . 3 (2021) : 227-234 . |
| APA | 陈晓东 , 余劲松弟 . 顾及语义关联信息的道路选取方法 . | 海南大学学报（自然科学版） , 2021 , 39 (3) , 227-234 . |
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