Earth Map: A Novel Tool for Fast Performance of Advanced Land Monitoring and Climate Assessment

Carmen Morales, A. S. Díaz, Daniel Dionisio, Laura Guarnieri, G. Marchi, D. Maniatis, D. Mollicone
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引用次数: 1

Abstract

Earth Map ( https://earthmap.org/ ) is an innovative and free application developed by the Food and Agriculture Organization of the United Nations that was designed in the framework of the Food and Agriculture Organization of the United Nations–Google partnership and facilitates the visualization, processing, and analysis of land and climate data. Earth Map makes petabytes of multitemporal, multiscale, multiparametric, and quasi-real-time satellite imagery and geospatial datasets available to any user thanks to the power of Google Earth Engine ( https://earthengine.google.com/ ) and a point-and-click graphical user interface. These are further complemented with more planetary-scale analytical capabilities so that global and local changes and trends on Earth’s surface can be easily detected, quantified, and visualized. It does not require users to master coding techniques, thereby avoiding bottlenecks in terms of technical capacities of nonexpert users. It ultimately paves the way for countries, research institutes, farmers, and members of the general public to access critical knowledge to develop science-based policy interventions, leverage investments, and sustain livelihoods. We provide a full overview of Earth Map’s software architecture, design, features, and datasets. To illustrate the possible applications of the tool, different examples are presented including a few case studies that show how quick historical analysis of environmental and climate parameters can be performed and research questions answered. The examples demonstrate that Earth Map is a comprehensive and user-friendly tool for land monitoring and climate assessment and that it has the potential to be used to assess land use, land use change, climate change impacts, and natural disasters.
地球地图:先进土地监测和气候评估快速执行的新工具
地球地图(https://earthmap.org/)是联合国粮食及农业组织在联合国粮食及农业组织与谷歌合作框架下开发的一款创新的免费应用程序,有助于对土地和气候数据进行可视化、处理和分析。由于谷歌Earth Engine (https://earthengine.google.com/)的强大功能和点击式图形用户界面,地球地图为任何用户提供了pb级的多时间、多尺度、多参数和准实时卫星图像和地理空间数据集。这些进一步补充了更多的行星尺度分析能力,以便可以很容易地检测、量化和可视化地球表面的全球和局部变化和趋势。它不需要用户掌握编码技术,从而避免了非专业用户在技术能力方面的瓶颈。它最终为国家、研究机构、农民和公众成员获取关键知识铺平了道路,从而制定基于科学的政策干预措施、利用投资和维持生计。我们提供了地球地图的软件架构,设计,功能和数据集的全面概述。为了说明该工具的可能应用,本文给出了不同的例子,包括一些案例研究,这些案例研究显示了如何快速地对环境和气候参数进行历史分析,并回答了研究问题。实例表明,地球地图是一个全面的、用户友好的土地监测和气候评估工具,具有用于评估土地利用、土地利用变化、气候变化影响和自然灾害的潜力。
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来源期刊
遥感学报
遥感学报 Social Sciences-Geography, Planning and Development
CiteScore
3.60
自引率
0.00%
发文量
3200
期刊介绍: The predecessor of Journal of Remote Sensing is Remote Sensing of Environment, which was founded in 1986. It was born in the beginning of China's remote sensing career and is the first remote sensing journal that has grown up with the development of China's remote sensing career. Since its inception, the Journal of Remote Sensing has published a large number of the latest scientific research results in China and the results of nationally-supported research projects in the light of the priorities and needs of China's remote sensing endeavours at different times, playing a great role in the development of remote sensing science and technology and the cultivation of talents in China, and becoming the most influential academic journal in the field of remote sensing and geographic information science in China. As the only national comprehensive academic journal in the field of remote sensing in China, Journal of Remote Sensing is dedicated to reporting the research reports, stage-by-stage research briefs and high-level reviews in the field of remote sensing and its related disciplines with international and domestic advanced level. It focuses on new concepts, results and progress in this field. It covers the basic theories of remote sensing, the development of remote sensing technology and the application of remote sensing in the fields of agriculture, forestry, hydrology, geology, mining, oceanography, mapping and other resource and environmental fields as well as in disaster monitoring, research on geographic information systems (GIS), and the integration of remote sensing with GIS and the Global Navigation Satellite System (GNSS) and its applications.
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