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
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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
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A new approach to the reconstruction of Clear-Sky Land Surface Temperature Vegetation Areas ----- Using Synthetic Aperture Radar, Digital Elevation Mode, and Machine Learning https://lnkd.in/gS4Pvvyv #LST #SAR #DEM #MachineLearning #remotesensing
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🌍 Addressing Geometric Challenges in Satellite Imaging for Land Monitoring 🛰 Satellite images often suffer from geometric errors that impair land monitoring and change detection analysis. These misalignments between consecutive acquisitions introduce noise and inaccuracies, particularly in high-temporal-resolution data collections such as Sentinel-2, Landsat, and PlanetScope. The article, written by Peresutti explores how to co-register a temporal stack of optical satellite images to mitigate these errors. Through extensive experiments, a workflow was developed that uses image-based co-registration to accurately align temporal images, thereby improving analysis accuracy. It was found that using an average temporal image as the template and a translation-only motion model produces the best results, significantly reducing the impact of geometric errors. These findings have been incorporated into the eo-learn library to facilitate use by other researchers and professionals. 🔗 More details and results are available in the blog: https://lnkd.in/dMfuqw3g #SatelliteImagery #GeometricErrors #LandMonitoring #ChangeDetection #MachineLearning #Sentinel2 #RemoteSensing #eoLearn #GIS #DataScience
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From GIS Lounge: This Tools Helps You Figure Out Which Satellite Bands to Use for Remote Sensing https://bit.ly/3Vutd9I #GeographicInformationSystems #LocationIntelligence #GeospatialData #Mapping #GISAnalysis #SpatialData #GISMapping #GeospatialTechnology #GISConsulting #GISSoftware #GISServices #GISApplications #GISData #GISMappingServices #GeospatialAnalysis #GISMappingSoftware #GISMappingSolutions #GISMappingTools #GISMappingTechnology #GISMappingData #GISProfessional #GISExpert #GISCommunity #GISMappingExpert #GISSpecialist #GISMappingConsultant #GISIndustry #GISInsights #GISDataAnalysis #GISDataManagement
This Tools Helps You Figure Out Which Satellite Bands to Use for Remote Sensing | Geography Realm
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Automatic Detection of Geospatial Change 🌍 Algorithms such as Random Forest and Support Vector Machines (SVM) allow identifying landscape changes in satellite images Radoux, J. et al. (2016). From deforestation to urban sprawl, monitoring becomes more accurate and faster Kuffer, M. et al. (2018). 🌳🏙️ In this context, I am pleased to share that our company Solarik is at the forefront of this revolution in geospatial monitoring. If you are interested in learning more about our capabilities in automatic geospatial change detection, I invite you to follow us on our social networks. We'll be posting regular updates on the latest developments in this area and how they can benefit your organisation. 🌍 📚 References 1. Radoux, J. et al. (2016). Automated training sample extraction for regional land cover mapping. Remote Sensing, 8(8), or the latest advances in this field. 2. Kuffer, M. et al. (2018). The role of earth observation in an integrated deforestation monitoring and reporting system. Forests, 9(1), or similar academic sources. #Solarik #GeospatialChangeDetection #AutomatedLearning #SpatialSensorRemote #TerritorialPlanning #NaturalResourceManagement #TechnologicalInnovation
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From GIS Lounge: This Tools Helps You Figure Out Which Satellite Bands to Use for Remote Sensing https://bit.ly/4cslnDx #GeographicInformationSystems #LocationIntelligence #GeospatialData #Mapping #GISAnalysis #SpatialData #GISMapping #GeospatialTechnology #GISConsulting #GISSoftware #GISServices #GISApplications #GISData #GISMappingServices #GeospatialAnalysis #GISMappingSoftware #GISMappingSolutions #GISMappingTools #GISMappingTechnology #GISMappingData #GISProfessional #GISExpert #GISCommunity #GISMappingExpert #GISSpecialist #GISMappingConsultant #GISIndustry #GISInsights #GISDataAnalysis #GISDataManagement
This Tools Helps You Figure Out Which Satellite Bands to Use for Remote Sensing | Geography Realm
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https://lnkd.in/gXDz_Bap The user manual for our land change detection tool has been updated. Now, easily find changes in your remote sensing images. Deep Block is the easiest GEOAI software, and you can try it online for free. Harness the power of GEOAI without coding - deepblock.net #remotesensing #isr #isrt #gis #geoAI #wemakeaieasy #nocode #ai #ml #machinelearning #changedetection #imagecomparison #imagesegmentation #photogrammetry #earthobservation #geoscience #meteorology #aerialphotography #computervision #precisionfarming #precisionagriculture #satelliteimagery #deeplearning #cartography #changedetection #imagecomparison
Ground Change Detection | Deep Block
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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.
How 15 Centimeter Satellite Imagery is Changing the Mapping Game - Geoawesome
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📌️Certificate Achieved: Remote Sensing and Satellite Image Processing.🗺️🌍 Proud to have successfully completed the "Remote Sensing and Satellite Image Processing with the #EOS_Platform" course from GEO University. This course has equipped me with the skills to process and analyze satellite data using advanced remote sensing techniques. The knowledge gained will be essential in understanding environmental changes, urban planning, and resource management through precise geospatial data interpretation. Grateful for the opportunity to enhance my expertise in this critical and rapidly evolving field of #Geoinformatics! #RemoteSensing #SatelliteImageProcessing #Geoinformatics #GIS #Sustainability #DataScience #GeospatialAnalysis #SpatialData #EarthObservation #EnvironmentalMonitoring #SustainableDevelopment #DataScience #EOPlatform #GeoUniversity
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Thrilled to have completed the 'Remote Sensing and Satellite Image Processing with the EOS Platform' course at GIS and Earth Observation University! 🚀📡 #RemoteSensing #SatelliteImageProcessing #GIS #EarthObservation #ContinuousLearning
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