Zac Bowling’s Post

🌟 Delighted to reach 100 citations on Google Scholar! 📚🎉 Thanks to all who have supported and cited my research 🙏 #GoogleScholar #ResearchMilestone #RemoteSensing #GIS #MachineLearning #EarthObservation #ObjectDetection #OBIA #OBCNN #CNN #UrbanTree

Progress-posting about https://lunarinn.net/ weekly till I find a job: week 5 Had less time to work on the project this week, so only a small update. • Tinkering with Doctrine ORM. • Read up more on Symfony's way of doing forms and it's making more sense suddenly.

📣 I am excited to announce the launch of the public review for the first set of #ontologies developed within the MAREGRAPH project!  These ontologies aim to represent the rich data offered by the World Register of #Marine #Species (WoRMS) system in a standardized and machine-readable format. I encourage all interested parties to participate in this review; also, feel free to share it with your colleagues who you think might be willing to provide feedback. In the project, we have set up an issue template for the "assets" repository of the MAREGRAPH GitHub - https://lnkd.in/dNsUJnBp You can use this template to submit specific issues you encounter with the ontologies. In the template of the issue, there is also a reference to the corresponding deliverable where some motivations for design choices are reported - https://lnkd.in/ddRpZK5T The public review period will be open until the 30th of June, starting from today. We encourage you to submit your contributions as soon as possible to ensure they are considered during the finalization process. Looking forward to your feedback! #semantics #semanticinteroperability #knowledgegraph #linkedopendata #opendata #interoperability #linkeddata #ontology #controlledvocabulary VLIZ - Flanders Marine Institute STLab - Semantic Technology Laboratory - CNR ISTC-CNR Alessandro Russo Lennert Tyberghein Joanna Goley Marc Portier Pieter Colpaert Julián Rojas Simon Claus Liesbeth Van der Haegen Annelies De Craene

From browsing outline shapefiles across multiple vendors to visualizing traces, find the version of Versal that fits your teams, your aims, and your exploration workflow. Find your tier: https://hubs.ly/Q01_0xnX0 #FindYourWay #Exploration CGG PGS

As we get back to serving you better by bringing geoscience information down to you. Here's one you can leverage one https://lnkd.in/dyB2T788

You can teach yourself Google Earth Engine in one afternoon! I am currently doing mini research for coursework, and we’re looking at the development case of Golden Triangle SEZ in Lao PDR. While my research is still in work, I want to share a tool I learned to create exciting maps that can help build my argument in the final deliverables (more on that coming soon, I hope). For this, I have been interested in using Landsat Satellite Imagery but felt that somehow, USGS’ EarthExplorer is not really user-friendly. I tried browsing some alternatives and found that I can also retrieve the Landsat satellite images and download them from Google Earth Engine. So, on a Tuesday afternoon during last spring break, I sat for a couple of hours trying to familiarize myself with the tool. I got so much help from watching Ramadhan - ‘s tutorial on YouTube (super big thanks for sharing to the community!) and practically just played around with the environment. In my experience, the process does feel easier with Google Earth Engine, and I could really get a clear image with the specific extent that I want. Free resources are available everywhere on the internet, and YouTube videos can really help with our work. Kudos to all the creators sharing their knowledge in this space! This is the video created by Ramadhan that helped me learn Google Earth Engine: https://lnkd.in/g-Xam6vA Also, sharing this writing along with more notes as well as the code that I wrote (so you can use it for your project later) in Medium: https://lnkd.in/gMRz7J9G Note: Landsat 8 Collection 2 Tier 1 TOA Reflectance and Landsat 5 TM Collection 2 Tier 1 TOA Reflectance images courtesy of the U.S. Geological Survey.

I've created this 3D project with Google earth. It is about teaching 2nd grade students about the three main types of wild animals _namely, herbivore, carnivore and omnivore_that are typically found in lake Ichkeul and Chaambi national park, two of the most famous parks in Tunisia. Click on ''present'' to view the project and select the right arrow to move to the next map. You can also tap on the wikipedia picture to scroll through the other pictures available and even hover over the park by clicking on the blue circle with a ''send'' arrow inside it on the bottom right side of the picture. Once you are flying over the park, you can change the 2D view into a 3D street view by clicking on the icon of the little boy next to 3D on the bottom right corner of the map. Once you do that, Google Earth will scan the map for any available 3D places that appear on the map as blue spots or lines. Select any of these and you will be able to visit it. I've also created some interactive quizzes which you can view only but not answer by clicking on the green icons or landmarks on the map. Students could still answer the questions if I allowed them to edit the project, which then would turn into a collective project where everyone contributes with their own answer. An alternative way to view the quizzes is by tracing or following the red line that links the two parks and quizzes together.

🌓 Well, that might not be the 'dark side of the moon', but this is the 'side' of the earth that we know the least when looking at maps. Here is an animation I did along the Antartic circle, using python matplotlib basemap. 🗺 Basemap is geared toward the needs of earth scientists, particularly oceanographers and meteorologists. Jeff Whitaker originally wrote Basemap to help in his research (climate and weather forecasting). Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features. Here is the website of Basemap: 🔗 https://lnkd.in/eQWCEsNM #antarctica #antarticcircle #maps #earth #python #dataviz #basemap #pinkfloyd

🌌 Kepler's Third Law, presented by LUX Space Science & Technology - LSS! In the vast expanse of space, the laws that govern celestial bodies are both fascinating and complex. Among these, Kepler's Third Law stands out for its elegant explanation of planetary motion. We believe in making the wonders of the universe accessible and engaging. Our latest project achieves this by demystifying Kepler's Third Law through the power of Python programming. 📌It's now active on #Github: https://lnkd.in/dH96esZs 🔸The core of the project is the Python code, which meticulously calculates and demonstrates the law's applications. Through graphs and animations, the project vividly illustrates the elegance of celestial mechanics. 🔸This project is a unique intersection of astrophysics and computer science. We've developed an interactive Python notebook that serves not just as a teaching tool but also as a window into the mechanics of our solar system. Using Python, we've translated the mathematical intricacies of Kepler's Third Law into a series of comprehensible, visually engaging simulations. In this way, you will be able to better analyze how Kepler's principle works and its dominance over our Solar System. Learning Outcomes: - Understanding the fundamentals of Kepler's Third Law - Gaining insights into Python programming in a scientific context - Appreciating the beauty of celestial mechanics through visualizations 🔸By bridging coding and astrophysics, we've created a unique educational experience that illuminates the laws of the universe in a way that's both informative and captivating. 👨🚀 Join us in this cosmic journey and discover the wonders of the universe through the lens of Kepler's Law! Let’s Lift-off ! Stay with science. #luxspacescience #space #science #astronomy #technology #physics #spacescience #kepler