Feldman Geospatial的动态

Flood mapping: Filtering and Displaying Satellite Images: Sentinel-2 and Sentinel-1 imagery using Google Earth Engine Tutorial Link: Check in the comment section! #registrationopen for a new batch of 7 days of Complete online live training on #googleearthengine for #remotesensing & #gis Analysis for Beginners to Advanced level for non-coders without any programming language knowledge. Brush up your knowledge and learn the new advanced geospatial technology. Class Start: 19th July, 2024 Admission Last Date: 18th July, (1st 10 registered people get 50% discount). For registration contact this WhatsApp number: +8801780-942798 or email: [email protected] Total Class: 7 days (Friday and Saturday in Week) Class Duration: 4 hours (Each day) Time: 9:00 P.M (GMT +6) Training language: English These online live training classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We mainly focus on those people who don't know any programming language or Earth Engine function. We cover LULC mapping, change detection Analysis, Air Quality Monitoring, Monitoring Particulate Matter (PM2.5), Evapotranspiration, Water logging, Urban Heat Island (UHI), UFTVI, Urban growth monitoring, Urban spawral, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, Hyperparameters Tunning, Improving the accuracy, Practical project on GEE and more. For more details about registration visit our website: Website Link attached in the comment section! #googleearthengine #remotesensing #FloodMapping #SatelliteImagery #Sentinel2 #Sentinel1 #GoogleEarthEngine #RemoteSensing #GeospatialAnalysis #EarthObservation #EnvironmentalMonitoring #GIS #FloodRiskManagement #DisasterResponse #ClimateChange #SatelliteData #GeoAnalytics #EarthScience #EnvironmentalScience #DataVisualization #SpatialData #Hydrology #FloodDetection #GeoTech

Flood mapping: Filtering and Displaying Satellite Images: Sentinel-2 and Sentinel-1 imagery using Google Earth Engine Tutorial Link: Check in the comment section! #registrationopen for a new batch of 7 days of Complete online live training on #googleearthengine for #remotesensing & #gis Analysis for Beginners to Advanced level for non-coders without any programming language knowledge. Brush up your knowledge and learn the new advanced geospatial technology. Class Start: 19th July, 2024 Admission Last Date: 18th July, (1st 10 registered people get 50% discount). For registration contact this WhatsApp number: +8801780-942798 or email: [email protected] Total Class: 7 days (Friday and Saturday in Week) Class Duration: 4 hours (Each day) Time: 9:00 P.M (GMT +6) Training language: English These online live training classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We mainly focus on those people who don't know any programming language or Earth Engine function. We cover LULC mapping, change detection Analysis, Air Quality Monitoring, Monitoring Particulate Matter (PM2.5), Evapotranspiration, Water logging, Urban Heat Island (UHI), UFTVI, Urban growth monitoring, Urban spawral, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, Hyperparameters Tunning, Improving the accuracy, Practical project on GEE and more. For more details about registration visit our website: Website Link attached in the comment section! #googleearthengine #remotesensing #FloodMapping #SatelliteImagery #Sentinel2 #Sentinel1 #GoogleEarthEngine #RemoteSensing #GeospatialAnalysis #EarthObservation #EnvironmentalMonitoring #GIS #FloodRiskManagement #DisasterResponse #ClimateChange #SatelliteData #GeoAnalytics #EarthScience #EnvironmentalScience #DataVisualization #SpatialData #Hydrology #FloodDetection #GeoTech

Have you ever wondered about the difference between GIS and GIScience? #GIS (Geographic Information Systems) refers to the technological tools enabling the collection, #analysis, and visualization of spatial data. With GIS, we can create maps, analyze geographic patterns, and efficiently manage spatial data. On the other hand, #GIScience (Geographic Information Science) is the scientific field underlying GIS. GIScience involves research and development of methods, theories, and technologies to enhance geographic analyses. This includes studying algorithms, spatial models, and user interaction to expand our understanding and application of #spatialdata. GIS encompasses the tools and technology, while GIScience is the scientific research advancing these tools forward. ????

?? Looking for new ways to expand your #ArcGIS skillset??Join us this October for our ??Remote Sensing with ArcGIS Pro?? workshop! This in-person workshop, at USF′s Geospatial Analysis Lab (GsAL), will cover the properties of remote sensing, key technologies, and practical workflows. You'll learn to interpret and analyze satellite and aerial imagery, gaining skills that can be applied in #environmentalmonitoring, #urbanplanning, agriculture, and other fields. By the end of the certificate, students will be able to: ? Perform intermediate workflows including creating interpolated surfaces from vector data. ? Create your own vector data. ? Perform image analysis such as generating NDVI to map vegetation characteristics. ? Perform land use classification and detect land cover change in both rural and urban environments. ? Analyze city microclimate environments by mapping shade. ?? Build a solid foundation in remote sensing, empowering you to leverage this powerful technology in your professional projects. ?? Sign Up Today! https://lnkd.in/guW2MRdE ?? ?? Don't forget BayGeo Members get 40% off all workshops! https://lnkd.in/gNSSDqsZ #GIS #VisualNarratives #CareerOpportunities #ProfessionalCertificate #SpatialData #RemoteSensing

?? Excited to share that I've successfully completed the course on "Remote Sensing and Satellite Image Processing with the EOS Platform" from GEO University! ???? This course has enhanced my skills in utilizing remote sensing data and satellite image processing techniques, providing a deeper understanding of how these technologies can be applied in fields like disaster management, environmental monitoring, and geospatial analysis. Looking forward to applying these skills in my research and teaching to further contribute to the advancements in Civil Engineering and Geoinformatics! ????? #RemoteSensing #GIS #Geoinformatics #SatelliteImageProcessing #CivilEngineering #ContinuousLearning #GEOUniversity

?? Excited to share a recent milestone in my professional development! ?? I've just completed the Orthorectification of Aerial Imagery through OrthoPhoto.io course from Geo University. ?? This course provided me with in-depth knowledge of the orthorectification process, helping to correct distortions in aerial and satellite imagery, ensuring accurate mapping and analysis in GIS applications. Throughout the course, I learned to: -Correct aerial images for terrain and sensor distortions using OrthoPhoto.io. -Work with Digital Elevation Models (DEMs) to enhance image accuracy. -Apply these techniques to real-world projects, from urban planning to environmental monitoring and disaster management. -Orthorectification is critical for producing geometrically correct images that are invaluable for a wide range of industries. Looking forward to leveraging these new skills in future GIS projects! ?? #GIS #Orthorectification #AerialImagery #RemoteSensing #GeoUniversity #ProfessionalDevelopment #linkedin #GIS #AERIAL_IMAGERY #Project #Remote_Sensing ??

The five components of GIS are: Geographical data: Geographical data includes spatial information, which is represented in maps, aerial photographs, satellite images, digital models of the Earth, and other geographical data. This data is considered essential for building a geographic information system. Hardware: The hardware used in GIS includes remote sensors, global positioning devices (GPS), computers, and servers. These devices are used to capture, store and analyze geographic data. Software: GIS software includes programs for analyzing geographical data, managing data, creating maps, and visualizing geographical data. Examples of popular software include ArcGIS, QGIS, and MapInfo. Processes and Methods: It includes the processes and methods that are used to analyze, transform, manage, and visualize geographic data. These processes include positioning, network analysis, spatial modeling, and geographic visualization. People: It is considered the most important element in GIS. This component includes professionals and users who analyze, manage, and use geographic data. The use of GIS requires training and skills to understand and use geographic tools and techniques effectively. The five components of GIS consist of geographic data, hardware, software, processes, and people. These components work together to enable effective analysis and management of geographic data and provide accurate and applicable results in areas as diverse as agriculture, urban planning and natural resource management. Facebook: https://lnkd.in/epZ5m6DS Instagram: https://lnkd.in/eHbEPTwR Linkedin: https://lnkd.in/eVHv62qu ?????? ?????????? [email protected] ??????? ???? 01040950801 #gis #GIS #mapping #maps #ARCGIS #ArcGISPro #ArcMap #Qgis #esri #gismapping #gisanalyst #cartography #geoanalytics #GISday #spatialdata #webgispro #webgis #geodata #geography #gismapping #ARCOnline #GISeducation #ARCGISOnline #geoapp #gisapp #geology #hydrology #geogrsphy

I am successful completion ???? the ‘Performing Unsupervised Pixel-Based Image Classification by #esri Training ?? Understanding GIS and Cartography is invaluable when exploring the topic of "Performing Unsupervised Pixel-Based Image Classification." GIS provides the platform for processing and analyzing spatial data, while cartography aids in effectively communicating the results through visually appealing maps. Unsupervised pixel-based image classification involves grouping pixels in an image based on their spectral characteristics without prior knowledge of classes. GIS tools facilitate this process by applying clustering algorithms to satellite or aerial imagery, identifying patterns and structures within the data. Cartography then helps visualize the classified image, conveying information about land cover, vegetation types, or other features accurately. Mastery of GIS and cartography enables professionals to extract meaningful insights from imagery, aiding applications such as environmental monitoring, land use planning, and natural resource management. This course help to identify the what the process inside the classification work A heartfelt thank you to the dedicated instructors and my fellow participants for fostering a collaborative and enriching learning experience. #EsriTraining #GIS #gisanalyst #gis #mapping #cartography

??? Ready to Create and Analyze Spatial Data? Join our Fundamentals of GIS course to learn all about spatial data creation, vector and raster layer styling, and much more. Discover how GIS can transform your approach to data! ?? https://lnkd.in/gGMmQbcg #GIS #Geography