Ramalingam V’s Post

I’m excited to share that I’ve completed the Remote Sensing and Satellite Image Processing with the EOS Platform course from #Geo_University! 🗺️ This certification has solidified my understanding of remote sensing and satellite image processing, equipping me with valuable skills for analyzing and interpreting Earth observation data. #GIS #GeoUniversity #RemoteSensing #SatelliteImagery #SpatialAnalysis

Buildings detecting in satellite imagery is vital for understanding urban growth and its direction. In Indian scenario where we find diversified terrain and dense built-ups, it is very complex to design the Deep learning model for building detection and footprints extraction. To reduce the complexities and uncertainties in the model developed, training incorporates diverse terrain and zoom parameters. This approach enables the creation of a more versatile model capable of effectively identifying buildings across different landscapes and data sets. #deeplearning #building #satellite

🌎 Have you heard of GeoWATCH? GeoWATCH is the open source tool that is redefining AI model training, prediction, and evaluation for complex, heterogeneous sequences of imagery. Initially designed for geospatial satellite data, GeoWATCH is far more versatile—it’s built to handle any sequence of rasters, regardless of band type, resolution, or revisit rate. This adaptability allows users to gain valuable insights across diverse domains, from satellite imagery to challenges requiring sophisticated raster data analysis. 🔗 Read the blog to learn more and see examples and real-world applications of GeoWATCH: https://ow.ly/a9G450U7U1y #Geospatial #SatelliteImagery #GeospatialAnalysis #SatelliteData #RemoteSensing

📢 GRSS: Submissions Open for GRSL Special Stream! This IEEE GRSL Special Stream focuses on the development and application of intelligent imaging systems specifically designed to overcome the challenges of water-related environments. Possible topics include: 🌍 AI-powered image restoration and enhancement in underwater and water surface environments 🌍 Intelligent underwater object detection and classification using optical imaging 🌍 Adaptive optics and deep learning methods for improving visibility in turbid water 🌍 Multi-sensor fusion techniques (optical, sonar, LiDAR, etc.) for water-based imaging systems 🌍 Machine learning algorithms for removing light scattering and absorption effects in aquatic environments 🌍 Real-time image processing for underwater navigation and monitoring of marine life 🌍 Intelligent systems for monitoring water quality using remote optical imaging 🌍 Applications of intelligent visual systems in underwater archaeology, environmental protection, and marine exploration 🌍 Novel hardware designs for water-related optical imaging with enhanced AI integration 📅Submission Deadline: 10 February 2025 🔗 Learn more: https://loom.ly/4TAkzNU #GRSS #RemoteSensing #GRSL #IEEE

"Blast off into the future of data-driven insights! I'm proud to announce that I've completed an advanced 36-hour training in Satellite Remote Sensing for national economies, covering: - Introduction to remote sensing principles and data usage - Interaction of radiation with objects and the atmosphere - Satellite systems and sensor technologies - Geographic information systems and spatial data analysis - Advanced techniques for pre-processing and decrypting remote sensing data - Leveraging remote sensing insights to support national economies and public services - Applying artificial intelligence and machine learning to analyze remote sensing data I'm now equipped with specialized skills to extract meaningful intelligence from satellite imagery and drive innovative solutions in various fields. I'm excited to apply these capabilities to drive positive impact and contribute to a data-driven future! #SatelliteRemoteSensing #DataDrivenDecisions #GeospatialAnalysis #EarthObservation #DigitalTransformation #InnovationInAction #SkillsDevelopment"

I'm thrilled to share that I completed an immersive online course on "Geospatial Artificial Intelligence" organized by ESRI Public safety Team! 🌍 In today's rapidly evolving digital landscape, the fusion of geospatial technology with artificial intelligence is revolutionizing how we perceive, analyze, and interact with data. Over the past week, I delved deep into this fascinating intersection, exploring cutting-edge techniques and real-world applications that are reshaping industries worldwide. #GeospatialAI #ESRI #GeoAI #ArtificialIntelligence #GIS #DataScience #LearningJourney #SpatialAnalysis #MachineLearning #DigitalTransformation #LinkedInLearning #Upskilling #ProfessionalDevelopment

🔵GÖKTÜRK Satellite images commercialized 🔸Orthoimages of an area of 12,796,620 km² were produced from GÖKTÜRK-1 satellite images with 50 cm resolution 🔸An area of 95,884 km² were produced from GÖKTÜRK-2 satellite images with a resolution of 2.5 m https://lnkd.in/d2QiPg8M

Geoawesome recently published an article discussing the impact of Maxar Technologies's 15 cm HD satellite imagery and its transformative effect on mapping. This unparalleled level of detail, comparable to aerial imagery, enhances the ability to capture fine details such as road markings and utility lines. These improvements are valuable for navigation, location-based services, infrastructure monitoring, and AI-driven analysis.

🌍 Declassified Satellite Imagery: A Treasure Trove for Innovation 🛰️💡 The National Geospatial-Intelligence Agency (NGA) has opened the doors to an incredible resource—declassified satellite imagery. This isn’t just a historical archive; it’s a powerful tool for driving research, innovation, and global understanding. ✨ Why this is a game-changer: Historical Insights: These datasets offer a unique glimpse into how landscapes, cities, and ecosystems have evolved over time. Advancing Research: From climate studies to urban development, declassified imagery supports groundbreaking work across industries. Open Access for All: By sharing this data publicly, NGA empowers researchers, developers, and analysts to collaborate and innovate. Endless Possibilities: Whether you’re building AI models, conducting geospatial analysis, or exploring history, these datasets are an invaluable resource. As someone passionate about GIS, remote sensing, and open data, I’m excited to see how these declassified images spark creativity and solutions to global challenges. The intersection of open access and cutting-edge technology like machine learning and spatial analytics makes this moment truly inspiring. 🛰️ Dive into the data and discover its potential: Explore NGA Declassified Satellite Imagery https://lnkd.in/gqH-P94E How do you think this imagery can be used to drive innovation? Let’s brainstorm and share ideas—I’d love to hear your thoughts! 💬 #GIS #SatelliteImagery #OpenData #GeospatialIntelligence #Innovation #RemoteSensing #SpatialAnalysis #DataDrivenDecisions #ClimateResearch #UrbanDevelopment #GeospatialTechnology 🌟📊

🎉 Our data paper has been accepted at the WACV 2025 - a top, A-ranked computer vision conference! 🌳 We present PureForest: a large, multimodal, open benchmark dataset that aims to spur improvements in large-scale tree species mapping, a fundamental aspect of sustainable forest management. 🌍 The 339 km² dataset spans 449 monospecific forests across France, achieving unprecedented geographic diversity within each of its 13 semantic classes (deciduous oak, beech, maritime pine, spruce, etc.). The dataset poses significant challenges in terms of 3D computer vision, data fusion (dense point clouds and very high resolution images), and geospatial analysis. ⚡ Floryne Roche (co-author) and I combined several geographic data sources together for efficient dataset creation, in a methodology described it in the data paper: "PureForest: A Large-Scale Aerial Lidar and Aerial Imagery Dataset for Tree Species Classification in Monospecific Forests" Pre-print below