AMITY UNIVERSITY - S&T OUTREACH’s Post

The Remote Sensing and Digital Image Analysis course from the Indian Institute of Remote Sensing (IIRS) has been an eye-opening experience. Working with satellite imagery revealed how subtle color variations can unveil critical patterns in urban development and environmental change, highlighting the wealth of insights embedded in each image. Key learnings included: 1. Satellite Image Interpretation: Decoding layers of information within satellite images. 2. Digital Image Processing: Techniques like image enhancement, classification, and change detection. 3. Geospatial Applications: Practical uses in environmental monitoring, urban planning, and disaster response. I am grateful to IIRS and Satya Shree Lakshmi Shanti Sansthan for this enriching opportunity. I am excited to apply these skills in future projects! #RemoteSensing #DigitalImageAnalysis #GeospatialTechnology #ContinuousLearning

Esri India, the leading provider of #GeographicInformationSystem (#GIS) software and solutions, and IIT Tirupati Navavishkar I-Hub Foundation (IITTNiF), a not-for-profit organization, have signed a #MemorandumOfUnderstanding (#MoU) to establish a ‘Center of Competence’ for innovation and advance learning with geospatial technologies at #IITTirupati. Prof. K. N. Satyanarayana, Director, IIT Tirupati, said, “We are thrilled to partner with Esri India to establish this Center of Competence at IIT Tirupati. This collaboration will provide students, startups, and industry professionals with unparalleled access to cutting-edge geospatial technologies and resources. It will enable them to stay at the forefront of innovation, develop practical solutions for real-world challenges, and contribute significantly to the geospatial ecosystem. By offering specialized training programs and facilitating industry-academia interactions, we aim to nurture a generation of geospatial professionals who are well-equipped to drive technological advancements and economic growth.” Agendra Kumar, Managing Director, Esri India, said, “Our #collaboration with IIT Tirupati through the ‘Center of Competence’ marks a transformative step towards nurturing the next generation of geospatial professionals. The use of geospatial technologies, supported by a conducive policy environment, has been on an upward trend for the last few years. Availability of geospatial data from earth observation systems like #satellites and #drones, use of advanced location-based analytics, integration of #AIML with GIS, and higher computing power are some of the key drivers for the growth. This initiative will empower students and professionals alike with cutting-edge GIS expertise, fostering groundbreaking innovations across diverse sectors. Given that spatial data analysis is indispensable for achieving effective outcomes in nearly every industry, the knowledge and skills gained at the Center will unlock a myriad of career opportunities for the learners. This #partnership signifies our commitment to cultivating a highly skilled geospatial workforce poised to shape the future.” . Read in detail at: https://lnkd.in/gYWUnGpC . Aprajita Singh Shubham Chakraborty Tanay Bhatnagar Shimonti Paul Rohit Arora Madhurima Ghosh Stuti Prakash Rajesh C Mathur Vivek Rawat . Follow us at SmartStateIndia . #smartstateindia #esriindia #GISdeveloper #cloudsolutions #geospatialintelligence

The Remote Sensing and Digital Image Analysis course from the Indian Institute of Remote Sensing (IIRS) provided me with invaluable insights. Working with satellite images highlighted the significance of subtle color variations in unveiling patterns in urban sprawl and environmental changes. This experience underscored the wealth of information embedded in each image. Throughout the course, I delved into various critical topics, such as: - Satellite Image Interpretation: Unraveling the intricate layers of information within satellite imagery. - Digital Image Processing Techniques: Implementing methods like image enhancement, classification, and change detection. - Geospatial Technology Applications: Exploring practical uses in environmental monitoring, urban planning, and disaster management. This educational journey has significantly expanded my understanding of how geospatial data can drive informed decisions. I extend my gratitude to IIRS and Satya Shree Lakshmi Shanti Sansthan for this enriching opportunity. I look forward to applying this newfound knowledge in my upcoming projects. #RemoteSensing #DigitalImageAnalysis #GeospatialTechnology #ContinuousLearning

April 2024 was the 11th month in a row to be the hottest on record, exemplifying the record-breaking #RisingTemperatures, alongside growing #deforestation and #pollution, represents the pressing challenges of today’s society. 🌡 🌍 In order to tackle these, GEO-Academy recognised that a special emphasis should be placed on educating our youngest, and hence improving the education offer for #SustainableDevelopment. GEO-Academy thus aims to train teachers and help them develop the necessary #digital, #green and #spatial skills so they can use new technologies and tools to be well-equipped for a change. But how does GEO-Academy plan to achieve this⁉ GEO-Academy identified five major #GeoConcepts - pillars of geospatial technologies and underlying geospatial competences, which are the key drivers to develop teachers’ digital, green and spatial skills. (1) #Cartography, #MapLiteracy, and development of spatial thinking skills,🗺 (2) Geographic Information Systems (#GIS) Tools, and Techniques for Earth Sciences,  (3) Remote Sensing (#RS), Earth Observation (#EO) and satellite applications, 📡 (4) visualisation and synthesis of information through the use of mapping technologies - map storytelling, and  (5) #STEAM education, robotics, and coding for #Urban Sustainability. Stay tuned to learn more about the GEO-Concepts of GEO-Academy! #ErasmusPlus

🌟 Excited to Share My Latest Achievement! 🌟 I am thrilled to have successfully completed the online course on "AI/ML for Geodata Analysis" organized by the Indian Institute of Remote Sensing (IIRS), Dehradun, under the Indian Space Research Organisation (ISRO) and the Department of Space, Government of India. 🚀🛰️ This intensive course, conducted from 19th August 2024 to 23rd August 2024, provided in-depth knowledge and hands-on experience in leveraging Artificial Intelligence and Machine Learning for geospatial data analysis. The total duration of the course was 7 hours and 30 minutes, packed with insightful sessions and expert guidance. 🔍 Key Learning Highlights: Application of AI/ML techniques for analyzing geospatial data Real-world case studies and practical insights Cutting-edge tools and technologies used in remote sensing and data analysis I am grateful for this opportunity to enhance my skills and look forward to applying this knowledge in my future endeavors, especially in the context of AI and geospatial analytics. A special thanks to ISRO and IIRS for organizing such an enriching program. 🙏 #AI #MachineLearning #GeodataAnalysis #ISRO #IIRS #RemoteSensing #ArtificialIntelligence #SkillDevelopment #ContinuousLearning

Hello Everyone, I am very excited to share that I have completed an online course on AI/ML for Geodata Analysis offered by the Indian Institute of Remote Sensing, a part of the Indian Space Research Organisation (ISRO). This 7.5-hour course provided valuable insights into applying artificial intelligence and machine learning techniques to geospatial data analysis. As someone passionate about leveraging technology for environmental monitoring and resource management, I found this course incredibly enlightening. It's fascinating to see how AI/ML can enhance our ability to extract meaningful information from satellite imagery and other geodata sources. I'm grateful to ISRO - Indian Space Research Organization for making such cutting-edge knowledge accessible through online platforms. This course has equipped me with new skills that I'm eager to apply in my professional work. To my connections working in GIS, remote sensing, or data science: Have you explored AI/ML applications in your field? I'd love to hear about your experiences or discuss potential collaborations! #RemoteSensing #MachineLearning #GeospatialAnalysis #GenAI #GenerativeAI #ProfessionalDevelopment #ISRO

Did someone say #automation? Another step closer to the "hey #gpt, Check this site and determine the flows for drainage analysis" One of the most common #errors in #hydrological modelling is catchment delineation, or determination of area and slope for packages like RORB. Zhenlong has shared a #QGIS based alternative to set up catchments and sub catchments in natural language. aka heaps easier to do useful stuff!

Kicking Off a New Semester Full of Exciting Challenges! It’s been two weeks since the semester started, and I’m already diving into some exciting work! 📚 I’m thrilled to continue as a student assistant for the Méthodes d’Estimation course at EPFL, where I get to support my peers and further deepen my understanding of estimation techniques. 🤖 For my semester project, I’m working on a deep learning-based LiDAR matching project, where the goal is to formulate an advanced training procedure for a 3D descriptor used in point-to-point matching. This involves modifying a training loop to load overlapping point patches, generating a training dataset from LiDAR scans over EPFL, and adjusting the loss function to integrate feature vector similarity. The project will also explore cross-sensor matching between LiDAR and photogrammetric point clouds. 💡 Alongside this, I have another project focused on information retrieval and recommendation systems, which is proving to be a fascinating dive into how data is used to personalize and enhance user experiences. 📖 On the tutoring side, I’m continuing my work with Alim Institute, helping EPFL freshmen navigate the challenges of their first year. It's incredibly rewarding to see the progress students make in such a short amount of time! It’s shaping up to be a semester filled with learning, growth, and challenges, and I couldn’t be more excited! Looking forward to sharing more updates as I progress. #DeepLearning #LiDAR #InformationRetrieval #EPFL #Tutoring #AI #StudentLife #Research

I'm excited to share our recent research on autonomous GIS with the development of a "GIS Copilot" that allows users to perform spatial analysis in QGIS using natural language for both vector and raster data. The Copilot was tested with more than 100 spatial analysis tasks spanning various complexity levels. The result shows that the GIS Copilot has strong potential in automating foundational GIS operations, with a high success rate for basic and intermediate tasks, while challenges remain in achieving full autonomy for more complex tasks without explicit guidance. This work represents a promising step toward the development of autonomous GIS, aiming to make spatial analysis more accessible to all. To learn more, please check out our preprint article at https://lnkd.in/euPQphf3 The GIS Copilot can be downloaded from the official QGIS plugin page at https://lnkd.in/eGjBzS-w Video demonstrations: https://lnkd.in/ejt7tZ94 The 110 test cases/analysis examples can be found at https://lnkd.in/eKUXWA8h https://lnkd.in/eAKu8xR8 The system is open sourced at https://lnkd.in/eFrdmjBk Temitope Ezekiel Akinboyewa, Zhenlong Li, Huan Ning, M. Naser Lessani #artificialintelligence #gis #giscience #geoai #spatialanalysis #QGIS #GDAL #autonomous #largelanguagemodels #chatgpt #generativeAI #agent

I’m thrilled to have completed the Artificial Intelligence & Machine Learning for Geodata Analysis online course offered by Indian Institute of Remote Sensing, Dehradun(IIRS),Indian Space Research organization(ISRO). The course was blend of live classes, engaging discussions, and daily quizzes that kept us on our toes. This course gave me valuable insights into applying AI/ML techniques in geospatial data analysis, with a strong focus on real-world applications. The course comprised of following broad topics: 1.Introduction to AI/ML and DL 2.Methods in machine learning like supervised,unsupervised and reinforcement 3.Deep learning concepts through CNN,R-CNN,Faster RCNN,SSD,YOLO,Spaceborne lidar system and their applications 4.Machine learning through Google earth engines 5.Python for Machine/Deep learning models The course was truly stand out was done by the caliber of the instructors and rich content they bought to life.Learning from experts like Dr.Hina Pande,Dr.Poonam SethTiwari,Dr.Kamal Pandey and Shri Ravi Bhandari was a truly knowledgeable experience.Grateful to Indian Institute of Remote Sensing (IIRS), Indian Space Research Organization (ISRO) and the faculty for this enriching experience!! Thank you to ISRO for this incredible learning opportunity! 🚀 #AI #MachineLearning #Geodata #ISRO #DataScience #RemoteSensing #AIinSpace #LifelongLearning #DeepLearning #Geospatial #Geodataanalysis #IIRS