检索结果-内蒙古大学图书馆

MAPPING LOCAL CLIMATE ZONES WITH MULTIPLE GEOdata AND THE open data cube: INSIGHTS OF DOMAIN USER REQUIREMENTS AND OUTLOOKS OF THE LCZ-ODC PROJECT 5

MAPPING LOCAL CLIMATE ZONES WITH MULTIPLE GEODATA AND THE OP...

引用

5th International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS) Geospatial Week (GSW)

作者： Vavassori, A. Brovelli, M. A. Capizzi, E. Venuti, G. Betti, B. De Cumis, M. Siciliani Sacco, P. Tapete, D. Politecn Milan Dept Civil & Environm Engn Pzza Leonardo Vinci 32 I-20133 Milan Italy Contrada Terlecchia Snc Italian Space Agcy I-75100 Matera Italy Italian Space Agcy Via Politecn Snc I-00133 Rome Italy

Rapid urbanization and climate change are intensifying the urban heat island (UHI) phenomenon across cities worldwide. There is a pressing need to implement evidence-based mitigation and adaptation strategies as well as to develop tools for effectively measuring the impact of such actions on UHI patterns. In this context, the Local Climate Zone (LCZ) concept is a well-established classification system commonly used for the assessment of UHI. With this in mind, we present here the LCZ-ODC project aiming to develop a methodology for LCZ mapping in the Metropolitan City of Milan (northern Italy) by leveraging multiple geospatial data and cutting-edge software tools, including the open data cube (ODC). A key aim of the project is to develop user-oriented solutions facilitating the exploitation of the generated LCZ maps for different application tasks. In this paper, we first present a brief overview of the methodologies and data sources used in the literature for LCZ mapping. Then, we introduce the LCZ-ODC project, with a focus on the end-user requirements which were gathered through a questionnaire distributed to a sample of potential stakeholders. The primary objective of the survey was to collect insights and consolidate requirements related to the key features of LCZ maps that will be produced within the project. The outcomes of the survey play a pivotal role in guiding the project's development phase, ensuring that the project outputs will effectively address the identified end-user needs.

关键词： Local Climate Zone Geospatial data open data cube Free and open Source Software User Requirements

来源：评论

学校读者我要写书评

暂无评论

QGIS AND open data cube APPLICATIONS FOR LOCAL CLIMATE ZONES ANALYSIS LEVERAGING PRISMA HYPERSPECTRAL SATELLITE data 5

QGIS AND OPEN DATA CUBE APPLICATIONS FOR LOCAL CLIMATE ZONES...

引用

5th International-Society-for-Photogrammetry-and-Remote-Sensing (ISPRS) Geospatial Week (GSW)

作者： Oxoli, D. Jimenez, J. R. Cedeno Capizzi, E. Brovelli, M. A. de Cumis, M. Siciliani Sacco, P. Tapete, D. Politecn Milan Dept Civil & Environm Engn Milan Italy Italian Space Agcy ASI Matera Italy Italian Space Agcy ASI Rome Italy

Climate change poses a significant threat to humans and biodiversity, impacting various aspects of livelihoods, infrastructure, and ecosystems. Understanding climate change and its interaction with the environment is crucial for achieving Sustainable Development Goals. Local Climate Zones (LCZ) play a key role in comprehending climate change by categorizing urban areas also based on their thermal characteristics. This study presents prototype open-source software tools developed to integrate ground and satellite data for LCZ analysis in the Metropolitan City of Milan (Northern Italy). These tools consist of a QGIS plugin to access and preprocess ground-based meteorological sensor data and a client-server platform, based on the open data cube and Docker technologies, for the exploitation of multispectral and hyperspectral satellite data in LCZ mapping and analysis. The tools' architecture, data retrieval methods, and analysis capabilities are described in detail. The QGIS plugin facilitates the access and preprocessing of ground-based sensor data within the user-friendly QGIS environment. The platform enables seamless ground-sensor and satellite data management and analysis, using Jupyter Notebooks as an interface to support programmatic operations on the data. The proposed tools provide a framework for studying climate change and its local impacts on urban environments, with the potential of empowering users to effectively analyze and mitigate its effects.

关键词： Local Climate Zones open data cube QGIS PRISMA Satellite

来源：评论

学校读者我要写书评

暂无评论

AN open data cube PLATFORM AS A COASTAL DIGITAL TWIN: PROTOTYPES TO INFORM FLOODING AND ENVIRONMENTAL HEALTH

AN OPEN DATA CUBE PLATFORM AS A COASTAL DIGITAL TWIN: PROTOT...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Allen, Thomas R. Chen, Yin-Hsuen Steiner, Blake McLeod, George Katragadda, Sridhar Terry, Brian Baptist, Joshua Yetkin, Oguz Tahvildari, Navid Hans, Sunghoon Feldhaus, Brandon Richter, Heather Old Dominion Univ Geog Program Norfolk VA 23529 USA Old Dominion Univ Inst Coastal Adaptat & Resilience ICAR Norfolk VA 23529 USA Old Dominion Univ Ctr Geospatial Sci Educ & Analyt Norfolk VA USA City Virginia Beach Informat Technol Virginia Beach VA USA Analyt Mech Associates Hampton VA USA Old Dominion Univ Dept Civil & Environm Engn Norfolk VA USA Old Dominion Univ Virginia Modeling & Simulat Ctr Suffolk VA USA Old Dominion Univ Hampton Rd Biomed Res Consortium Norfolk VA USA

ISBN: (纸本)9798350360332;9798350360325

Earth Science Digital Twins are rapidly evolving to advance earth science understanding and societally relevant decision making. Coastal hazards pose complex and compound threats to dynamic human settlements and land use, inviting their analysis using digital twin technologies. A geospatial approach requires a framework for data assimilation that spans Earth observations, in situ sensor networks, environmental models, and characterization of human population and infrastructure assets. In our study, an open data cube is developed as the core integration platform for a series of prototype case studies: 1) coastal mosquito-borne disease exposure assessment;2) dasymetric mapping of vulnerable populations;and 3) integrated modeling and observational assessment of a King Tide flood event for Hampton Roads, Virginia (USA.) These prototypes are described with preliminary results. The paper also discusses benefits of the ODC as a Digital Twin as well as impediments and future developments for enhanced capabilities.

关键词： Earth Science Digital Twin open data cube public health population mapping coastal flooding

来源：评论

学校读者我要写书评

暂无评论

open data cube APPLICATION TO USER-GENERATED GEOdata: VISITORS TURNOUT INVESTIGATION IN THE INSUBRIA NATURAL PARKS 24

OPEN DATA CUBE APPLICATION TO USER-GENERATED GEODATA: VISITO...

引用

24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow

作者： Oxoli, D. Vavassori, A. Jimenez, J. R. Cedeno Brovelli, M. A. Politecn Milan Dept Civil & Environm Engn Pzza Leonardo da Vinci 32 I-20133 Milan Italy

Green areas such as natural and periurban parks embed key assets for biodiversity and landscape preservation and environmental education. In most cases, they also boost local economic growth for their hosting territories thanks to the establishment of ecotourism activities. Nevertheless, coordinated management and promotion actions between policymakers and promoters remain vital for the sustainable exploitation of these green areas. The knowledge of visitors dynamics across natural parks is necessary information necessary to drive parks management policies while being often a complex data to collect. To that end, this paper proposes the use of user-generated geodata, namely users' location records provided by the Facebook data for Good program, to assess visitors' turnout for the natural parks of the Insubria Region, between Southern Switzerland and Northern Italy. The open data cube technology, originally developed for managing satellite Earth observation data, was here adapted for processing and analysing the considered user-generated geodata. Space-time patterns of Facebook users' presence in the period May 2020 December 2021 were extracted to infer visitors' fluxes and destinations preferences. Results pointed out differences between Italian and Swiss parks by outlining also most visited locations within each park. Despite limitations related to data representativeness (limited sample of Facebook app users with location history enabled on their devices) the integration of user-generated geodata in a cutting-edge and free and open-source data management platform, such as the open data cube, turned out to be promising for the improvement of natural areas management practices.

关键词： open data cube User-generated Geodata Natural Parks Tourism Management

来源：评论

学校读者我要写书评

暂无评论

INTEGRATION OF THE open data cube ON COMMON CLOUD FRAMEWORKS

INTEGRATION OF THE OPEN DATA CUBE ON COMMON CLOUD FRAMEWORKS

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Baptist, Joshua R. Yetkin, Oguz Terry, Brian Killough, Brian Gowda, Sanjay Analyt Mech & Associates Inc Hampton VA 23666 USA Killough Serv LTD Poquoson VA USA

ISBN: (纸本)9798350320107

The open data cube (ODC) [1, 2, 3] is an open-source geospatial data management and analysis software package growing in popularity. With increased popularity there is increased demand for the computational power and storage capabilities required to analyze large spatial and temporal datasets. Cloud resource providers have bolstered their computational and satellite data offerings, simplifying access and management so that average users are able to tailor systems to their specific needs. Consequently, there exists substantial community interest in the comparative capabilities and technological performance of different cloud providers. Making informed choices in cloud providers offerings is crucial for optimizing geospatial data management and processing to meet user-specific needs. In this paper we begin to evaluate the deployment and performance of the ODC, standard notebooks, and datasets, to better determine functional differences. Our work finds that datasets saved in the local environment execute operations significantly faster than from the cloud, Google Earth Engine (GEE) has longer execution times when the metadata for a given asset is indexed locally, and that more thorough benchmarking is required to better understand the end-to-end performance of EO processes on the cloud.

关键词： open data cube Cloud Earth Observation GIS Satellite Imagery

来源：评论

学校读者我要写书评

暂无评论

RAPID MAPPING OF WATERBODY VARIATIONS IN THE CENTRAL RIFT VALLEY, ETHIOPIA, USING THE DIGITAL EARTH AFRICA open data cube

RAPID MAPPING OF WATERBODY VARIATIONS IN THE CENTRAL RIFT VA...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Peppa, M., V Solano-Correa, Y. T. Mills, J. P. Haile, A. T. Newcastle Univ Sch Engn Newcastle Upon Tyne England Univ Tecnol Bolivar Fac Ciencias Basicas Cartagena Colombia Int Water Management Inst IWMI Addis Ababa Ethiopia

ISBN: (纸本)9798350320107

Mapping waterbodies variations through time is only possible thanks to the use of in-situ hydrometric sensors or remotely sensed data. Few areas around the world count with a functional in-situ sensor's network, but all areas can be observed with satellite imagery. Several previous studies have mapped waterbodies by means of optical satellite imagery. Combining both optical and radar data is an alternative to avoid high cloud coverage or low data availability. This work presents a workflow for mapping waterbodies variations of lakes, spatially and temporally, located in the Central Rift Valley, Ethiopia by considering Landsat-based analysis-ready data alongside Sentinel-1/2 imagery, and comparing automatic thresholding methods. The workflow is simple, yet effective, and makes use of the Digital Earth Africa open data cube, for the very first time in Ethiopia to accelerate time-series processing with the potential to extend this analysis to a national scale, addressing water security challenges.

关键词： Digital Earth Africa open data cube remote sensing Sentinel-1 and 2 Ethiopia

来源：评论

学校读者我要写书评

暂无评论

PRELIMINARY EXPERIMENT FOR KOREA data cube WITH KOMPSAT-3/3A ARD BASED ON open data cube PLATFORM 44

PRELIMINARY EXPERIMENT FOR KOREA DATA CUBE WITH KOMPSAT-3/3A...

引用

44th Asian Conference on Remote Sensing, ACRS 2023

作者： Kim, Kwangseob Lee, Kiwon Department of Computer Software Kyungmin University 545 Seobu-ro Gyeonggi-do Uijeongbu-si11618 Korea Republic of Department of Applied Convergence Security Hansung University Samseon-dong Seongbuk-gu Seoul02876 Korea Republic of

ISBN: (纸本)9781713893646

Analysis Ready data (ARD) is an interoperable product with other data in remote sensing applications, allowing immediate analysis. Committee on Earth Observation Satellites (CEOS) developed and released the guideline for specifications of ARD, as CEOS ARD for Land (CARD4L) for surface reflectance, surface temperature, and synthetic aperture radar (SAR)-based normalized back scatter. US Geological Survey (USGS) has provided Landsat ARD products though collection-2 since 2020. Sentinel ARD products, which complied with the CARD4L specification, have also been generated. ARD products support time series analysis. Therefore, a large amount of data must be processed and archived. Storage is a crucial factor. Amazon Simple Storage Service (S3) is one of the cloud-based storage services, a technology called object storage. It can store most data formats, including unstructured types of data, with quickly accessible functionality through an Application Programming Interface (API). Archived ARD products can be linked with Earth Engine (GEE), providing about 70 petabytes of ready-to-use data. Another component for ARD applications is open data cube (ODC), an open-source platform. In most cases, this platform has been used to country-wide application. This study presents the preliminary experiment results to develop or build the Korea data cube (KDC) using image data sets of the KOMPSAT series. In this study, ARD is dealt with the surface reflectance of KOMPSAT 3/3A. The cloud computing environment is also used with openStack, an open-source cloud platform. It is expected that this approach will be the core scheme for future KDC, as well as prospective data cube of other countries on the planning stage or initial developing stage. © 2023 ACRS. All Rights Reserved.

关键词： Analysis Ready data KOMPSAT Korea data cube open data cube

来源：评论

学校读者我要写书评

暂无评论

Examining Spatiotemporal Photosynthetic Vegetation Trends in Djibouti Using Fractional Cover Metrics in the Digital Earth Africa open data cube

引用

REMOTE SENSING 2024年第7期16卷 1241页

作者： Wardle, Julee Phillips, Zachary St Louis Univ Earth & Atmospher Sci Dept St Louis MO 63103 USA

The Horn of Africa has sensitive, arid ecosystems, with its vegetation commonly distressed by factors such as climate change, population increase, unstable water resources, and rarely enforced land use management practices. These factors make countries such as Djibouti highly variable locations for the growth of vegetation and agricultural products, and these countries are becoming more vulnerable to food insecurity as the climate warms. The rapid growth of satellite and digital image processing technology over the last five decades has improved our ability to track long-term agricultural and vegetation changes. data cubes are a newer approach to managing satellite imagery and studying temporal patterns. Here, we use the cloud-based Digital Earth Africa, open data cube to analyze 30 years of Landsat imagery and orthomosaics. We analyze long-term trends in vegetation dynamics by comparing annual fractional cover metrics (photosynthetic vegetation, non-photosynthetic vegetation, and bare ground) to the Normalized Difference Vegetation Index. Investigating Djibouti-wide and regional vegetation trends, we provide a comparison of trends between districts and highlight a primary agricultural region in the southeast as a detailed example of vegetation change. The results of the Sen's slope and Mann-Kendall regression analyses of the data cube suggest a significant decline in vegetation (p = 0.00002), equating to a loss of similar to 0.09 km(2) of arable land per year (roughly 2.7 km(2) over the 30-year period). Overall, decreases in photosynthetic vegetation and increases in both non-photosynthetic vegetation and bare soil areas indicate that the region is becoming more arid and that land cover is responding to this trend.

关键词： open data cube spatiotemporal trends fractional cover photosynthetic vegetation Djibouti food security land cover trends

来源：评论

学校读者我要写书评

暂无评论

USING open data cube ON THE CLOUD TO INVESTIGATE FOOD SECURITY BY MEANS OF CROPLAND CHANGES IN DJIBOUTI 24

USING OPEN DATA CUBE ON THE CLOUD TO INVESTIGATE FOOD SECURI...

引用

24th ISPRS Congress on Imaging Today, Foreseeing Tomorrow

作者： Wardle, J. A. Sagan, V Mohammed, F. St Louis Univ Geospatial Inst St Louis MO 63103 USA

Addressing hunger is one of the greatest unsolved challenges Humanity has ever faced. Africa is one of the most fragile ecosy stems strongly affected by numerous factors ranging from climate change, increasing population, decreasing water resources, and undeveloped hydrological infrastructure. These factors make it exceptionally vulnerable to food insecurity. The purpose of this study was to establish the feasibility and methodology of using open data cube (ODC) and conventional machine learning algorithms to determine the extent of decrease in cropped area in the desert climate of Djibouti, the smallest Horn of Africa country (by landmass) over a thirty-year period. The research question was answered using Landsat 5, 7, and 8 imagery taken during the month of June from 1990, 2000, 2010, and 2020 then classified through machine learning algorithms - including decision tree and random forest. The data acquisition, analysis, and modeling were completed in an open data cube environment using a cloud-based user computational platform miming completely in-browser, and all necessary software was provided as part of the environment. The research identified a decreasing trend in vegetative areas but was limited in determining whether the vegetative areas were purely agricultural cropland in nature or included native vegetation. While the research reveals a concerning decline in total vegetation over the thirty-year period, the lack of other data variables (such as weather and climate patterns) provides too narrow a picture to determine causation. Several areas for further research are outlined.

关键词： open data cube Food Security Cropland Hyperspectral Imaging Machine Learning

来源：评论

学校读者我要写书评

暂无评论

THE open data cube SANDBOX: A TOOL TO SUPPORT FLOOD DISASTER RESPONSE AND RECOVERY

THE OPEN DATA CUBE SANDBOX: A TOOL TO SUPPORT FLOOD DISASTER...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Killough, Brian Lubawy, Andrew Dyke, George Rosenqvist, Ake NASA Langley Res Ctr Hampton VA 23665 USA Analyt Mech & Associates Inc Hampton VA USA Symbios Commun Sydney NSW Australia SoloEO Tokyo Japan

ISBN: (数字)9781665427920

ISBN: (纸本)9781665427920

The open data cube (ODC), created and facilitated by the Committee on Earth Observation Satellites (CEOS), is an open-source software architecture that continues to grow in popularity around the world. In late 2021, CEOS released a new ODC sandbox tool that provides global users with a free and open programming interface connected to Google Earth Engine datasets. The open-source toolset allows users to run application algorithms using a Google Colaboratory ("Colab") Python notebook environment [1]. This tool demonstrates rapid creation of science products anywhere in the world without the need to download and process the satellite data. One example application has been developed and demonstrated to support flooding disasters and recovery using Sentinel-1 radar data. This application can be easily used to monitor peak flooding extent, flooding recovery, and the time series flood history of a region.

关键词： open data cube CEOS Earth Observation Radar Flooding Analysis Ready data

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：