সোহানুর রহমান’s Post

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

I got the certificate. Thanks, Geo University. Check out this great course! Remote Sensing and Satellite Image Processing with the EOS Platform

"Excited to share my completion of the Remote Sensing/Digital Image Processing course at Athira Geo Spatial Services Private Limited! Ready to leverage these expert skills in analyzing and interpreting satellite imagery for innovative solutions. #RemoteSensing #ImageProcessing #AthiraGeoSpatial"

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

https://lnkd.in/gZ2unkDx Check out this video showcasing how DEEP BLOCK extracts land cover from high-resolution aerial orthophotos. We've recently enhanced DEEP BLOCK's image segmentation application by adding a polygon correction feature. This innovative update empowers users to leverage the geolocation data of various objects found in DEEP BLOCK when analyzing ultra-high resolution images, thereby eliminating the need for tedious post-processing tasks. Here’s how it works: DEEP BLOCK's advanced algorithms automatically identify and segment different land cover types, such as forests, urban areas, and water bodies, with remarkable accuracy. With the new polygon correction feature, users can extract these segmented areas with more precise boundaries. This becomes particularly valuable when working with complex landscapes or areas where land cover types frequently change. While tools like ARCGIS and QGIS offer polygon merging and correction functions, DEEP BLOCK has integrated these features seamlessly within its platform. This integration means you won't need to switch between multiple software programs or perform additional steps to achieve the desired level of detail and accuracy. DEEP BLOCK simplifies the process, allowing you to focus on analysis and decision-making. Imagine the time saved and the increased efficiency when mapping large areas for environmental studies, urban planning, or disaster response. DEEP BLOCK’s combination of high-resolution imagery and sophisticated image segmentation ensures that you get reliable, actionable insights without the hassle of manual corrections. But that's not all. DEEP BLOCK’s no-code interface makes it accessible even to those who may not have extensive technical expertise. Whether you're a seasoned GIS professional or a newcomer to remote sensing, DEEP BLOCK provides the tools you need to achieve professional-grade results. Get started with DEEP BLOCK for free today and experience the future of no-code computer vision for remote sensing. Visit deepblock.net to learn more and take your first step towards more efficient and accurate land cover analysis. No-code Computer Vision for Remote Sensing – deepblock.net #remotesensing #microscopy #pathology #earthobservation #gis #geoAI #wemakeaieasy #nocode #ai #ml #machinelearning #imagesegmentation #photogrammetry #semanticsegmentation #aiplatform #aitool #geoscience #geometry #aerialphotography #computervision #precisionfarming #precisionagriculture #satelliteimagery #urbanplanning #cartography #artificialintelligence

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.🌠🌍🌎

Artificial intelligence meets cartography: Mapping tools can create satellite images from text prompts. https://lnkd.in/gB-yvsTB

Understanding Geospatial Technology and Its Advantages Geospatial technology refers to the utilization of geographical data and spatial analysis techniques to comprehend patterns, relationships, and trends in various phenomena occurring on Earth's surface. It encompasses a wide array of tools and methodologies, including Geographic Information Systems (GIS), remote sensing, Global Positioning Systems (GPS), and cartography. At its core, geospatial technology enables the capture, storage, manipulation, analysis, and visualization of spatial data. This data can range from satellite imagery and aerial photographs to demographic information and environmental measurements. By integrating geographic information into decision-making processes, geospatial technology facilitates informed planning, resource management, and policy formulation across diverse sectors. One of the primary benefits of geospatial technology lies in its ability to enhance spatial understanding and facilitate informed decision-making. By overlaying multiple layers of geographic data, stakeholders can gain valuable insights into complex spatial relationships, such as land-use patterns, transportation networks, and environmental dynamics. This, in turn, enables more efficient resource allocation, improved risk assessment, and better policy implementation. #geospatialtechnology #geospatial

🤔 Curious about the techniques used for detecting wildfires? This videos a part of the course: “Advanced Techniques in Wildfire Management: Remote Sensing, 🛰️ Satellite Imagery and Artificial Intelligence.'' 👉 This part of the tutorial focuses on investigating the diverse techniques employed in acquiring and processing images for wildfire detection using remote sensing and satellite imagery. ✅ Understanding these methods enables proficient analysis for effective wildfire detection. The video tutorial is part of the TREEADS project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101036926. 🔥 Watch the video here: https://lnkd.in/dMWNm2Je 📩 Don't forget to subscribe: rb.gy/z57dfz #INNOVACTS #TREEADS #WildfireManagement #Innovation

🎉 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