Imagine owning a library with every book imaginable—millions and millions of titles—but not having a way to organize the different texts or search for specific information. https://lnkd.in/eqf6tqzu This is essentially the scenario Missouri S&T researcher Dr. Satish Puri works to fix, but instead of it being a brick-and-mortar library filled with books, he is working with petabytes of digital data—primarily geospatial information, such as maps—and finding the best ways to run queries and get useful results as quickly as possible.
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This OP-ED is getting attention: https://lnkd.in/ga4JM3Gs
Opinion: America's 'big glass' dominance hangs on the fate of two powerful new telescopes
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I got the certificate. Thanks, Geo University. Check out this great course! Remote Sensing and Satellite Image Processing with the EOS Platform
The EOS Platform
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#11 Seg-Eval Choosing the proper ground sampling distance is a pivotal decision in remote sensing downstream applications. In this work, the authors try to set out a clear ensemble of guidelines for fairly comparing semantic segmentation results obtained at various spatial resolutions. They also propose region-based pixel-wise metrics, allowing for a more detailed analysis of the model performance. what I liked: very practical and important problem paper: https://lnkd.in/gFfUE35v #50papers #AI4EO #remotesensing #deeplearning #GeoAI
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🔥 Read our Highly Cited Paper 📚 An Adaptive Weighted Method for Remote Sensing Image Retrieval with Noisy Labels 🔗 https://lnkd.in/gEyxUxsf 👨🔬 by Xueqing Tian et al. 🏫 Central South University #noisy #remotesensing #image #deeplearning
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Satellite Image Processing: Comprehensive Guide to Remote Sensing Unlock the full potential of satellite imagery with this comprehensive guide to satellite image processing and remote sensing. Explore key techniques such as image classification, enhancement, and interpretation using leading tools like QGIS, ArcGIS, and Google Earth Engine. This playlist is perfect for beginners and professionals in GIS, environmental science, and urban planning. Learn how to effectively process satellite images for applications in land use analysis, environmental monitoring, and urban development. 🎥watch the full playlist on YouTube: https://lnkd.in/dcwUYtEq
Satellite Image Processing: Comprehensive Guide to Remote Sensing
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This is to share my latest achievements by completing a course on Remote Sensing and Satellite Image Processing with the EOS Platform, organized by GIS and Earth Observation University! This achievement is a testament that's shows hard working, determination, and passion for geospatial technology pays. Therefore, Earning this certificate not only highlights my expertise but also opens up new avenues for me in the ever-evolving world of remote sensing and satellite image processing.🌠🌍🌎
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Pansharpening is a process used in remote sensing to enhance the spatial resolution of multispectral images by combining them with a higher-resolution panchromatic image. Pansharpening can greatly enhance the visual interpretation and analysis of remote sensing data by combining the best aspects of both spatial and spectral resolutions. #Pansharpening #ArcMap #GEE https://lnkd.in/eQ4RSFmw
PANSHARPENING USING GOOGLE EARTH ENGINE || GEE
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Remote sensing and satellite image processing using Earth Observing System (EOS) technology is a crucial aspect of modern geospatial science. I think it is easy than Arcgis tools.
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@Vikas this brings back a lot of memories from a GIS officer project I worked on, where I made effective use of Google Earth Engine
🛰️Remote sensing and GIS Consultant || Geospatial trainer || ⚒️Geologist || Content Creator at YouTube
Introductory Course to Google Earth Engine is a comprehensive guide aimed at introducing users to the powerful geospatial analysis platform, Google Earth Engine (GEE). Developed by Franceschini, G. and Ali, M., this 2022 publication by FAO provides foundational knowledge on using GEE for processing large datasets, remote sensing applications, and performing advanced spatial analysis. The course is designed to help users navigate the platform's capabilities, from basic operations to more complex workflows, making it an essential resource for professionals and researchers in environmental and geospatial fields. Franceschini, G. and Ali, M. 2022. Introductory course to Google Earth Engine. Rome, FAO. https://lnkd.in/gdH8zDNP
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New publication alert... Book: Eco-Innovation and Sustainable Development in Industry 5.0. Book chapter 8: Bridging Industry 5.0 With Location Science and Geospatial Intelligence. https://lnkd.in/dkjYXHVJ https://lnkd.in/dzeUKtEF In this chapter, I explore the intersection of Industry 5.0 and geospatial science, and the key requirements for integrating geospatial science in Industry 5.0, while also highlighting how advancements in location intelligence technologies are reshaping industries, enhancing operational efficiency, and driving sustainable development. Enjoy...
Bridging Industry 5.0 With Location Science and Geospatial Intelligence
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