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Brochure, flyer, fact-sheetSEPAL, a big-data platform for forest and land monitoring
Powering innovation and application in the use of satellite imagery for natural resource management
2021Also available in:
No results found.Accurate information is critical for natural resources to be managed sustainably. Developed by the Food and Agriculture Organization of the United Nations (FAO), the System for Earth Observation Data Access, Processing, and Analysis for Land Monitoring (SEPAL) helps countries monitor and report on forests and land use. SEPAL offers users unparalleled access to satellite data, an easy-to-use interface, and powered by cloud-based supercomputers, paving the way for improved climate change mitigation plans and data-driven land-use policies. -
ArticleCloud computing solution for monitoring dryland forests dynamics in Morocco
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The wide availability of free satellite imagery and the recent development of cloud-based geospatial analysis platforms dedicated to spatial Big Data that integrates both image archives from different providers, processing algorithms, distributed processing capabilities as well as an application programming interface that facilitate scripting and automation process, opened new perspectives for the use of vegetation observation time series over long time series and over large spatial scales. This work aims at harnessing these technologies and building up an automated solution to monitor forests rehabilitation dynamics in arid lands and to assess the effectiveness of stakeholder’s management or restoration strategies. Such solution is based on graphical user interface that facilitate the process and on the use of analysis functions relaying on analyzing temporal trajectories (time series) of different spectral indices derived from satellite images (Landsat, MODIS or Sentinel) at the required spatial analysis scale. The solution is implemented using java script language by the functions offered by Google Earth Engine (GEE) API. The graphical user interface of the first prototype is exploitable by the means of a standard web browser. It is accessible even to people without any background in regard to programming languages or to remote sensing skills and to overcome managers lack of technical skills or computing infrastructure capacities. The process was tested for two arid regions on Morocco mainly on sites recently rehabilitated: acacia ecosystems on the southern part of Morocco and the argan ecosystem which is an emblematic agrosilvopastoral system. The output has been qualified as promising solution and the prototype represent decision-support tool which contribute to managing and communicating forest information and management at different levels and facilitating the assessment of ecosystem trends and then to plan restoration interventions. Furthermore, field data collected by involving local communities can greatly facilitate results validation, which makes possible to compensate errors due to data sources. Key words: Google earth engine; remote sensing; monitoring; Dryland forests, Morocco ID: 3623147 -
ArticleEarth Map: A Novel Tool for Fast Performance of Advanced Land Monitoring and Climate Assessment 2023
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No results found.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.
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