Latest Contributions by CanserinaKurnia

Higher Education Spatial Data Science SIG Education Summit, 2022 Sunday, July 10,  12:00 p.m. — 1:00 p.m. Marriott - Pacific Ballroom 14   Description: Join and connect with colleagues who are running or have interests in running spatial data science course/program. Find supporting technology and resources available from Esri for teaching spatial data science. List of resources: Spatial Data Science in Higher Education A Guide to Spatial Data Science Courses in Esri Academy Spatial Data Science MOOC  Spatial Data Science in Learn ArcGIS Esri Press Spatial Analysis and Data Science Spatial Statistics   For more info or need assistance or collaboration, contact Canserina Kurnia (ckurnia@esri.com) ... View more

2022 Education Summit Getting Started with Drone Solutions Technical Workshop     Description: Drones offer an affordable and accessible option to capture high-resolution imagery of local areas for teaching and research in many disciplines. Learn basic workflows for capture and processing drone imagery. List of Resources Slide deck ArcGIS Drone2Map product info Education chat recording Education blog Esri Academy – Tutorials and videos Learn ArcGIS – Real world scenarios Search for: Drone Imagery Deep Learning For more info or need assistance or collaboration, contact Canserina Kurnia (ckurnia@esri.com) ... View more

2022 Education Summit  Spatial analysis with ArcGIS Notebooks Technical Workshop – Hands-on     Description: ArcGIS Notebooks provide a Jupyter notebook experience optimized for spatial analysis. Combine industry-leading spatial analysis algorithms with open-source Python libraries to build precise spatial data science models. This workshop will introduce workflows for using ArcGIS Notebooks for spatial analysis and provide resources for further learning. The hands-on lab is using a Learn lesson:  Understanding Web GIS Using ArcGIS Notebooks   Resources Link to slide deck Learn path Learn Python with ArcGIS Notebooks Teach with ArcGIS Notebooks Esri training MOOC Spatial Data Science: The New Frontier in Analytics Next offering Oct 5, 2022.   Open for Registration Esri Press books for Python Python Scripting for ArcGIS Pro Advanced Python Scripting for ArcGIS Pro Get faculty sampling copy from vitalsource.com Teaching with ArcGIS Notebooks - webinar recording For more info or need assistance or collaboration, contact Canserina Kurnia (ckurnia@esri.com)   ... View more

For June 2022 edition of GIS in Higher Education Chat, we presented the topic “Visualizing and Interacting Temporal Data with ArcGIS”. Three Product Engineers shared the latest methods for visualizing temporal data using ArcGIS API for JavaScript, ArcGIS Online and ArcGIS Pro. The recording is now available. In the GIS in Higher Education Chat hubsite, you can also find the links to recording and resources of past topics, and information for upcoming topics.  Following are the links to the web maps/apps shown during the presentation and links to resources for each product: Working with temporal data slide deck ArcGIS API for JavaScript TimeSlider widget sample Visualizing change over time (blog) App examples: Wayback Mexico census app (Swipe widget) Mexico census app (Above and below theme) National Park app Filter features with the TimeSlider TimeSlider with offset  Time enabled bookmarks FlowRenderer sample  ArcGIS Online Volcanoes sample Flow Renderer (blog) Covid sample ArcGIS Pro Help topics on: Overview of time Set the time properties on data Visualize temporal data using the time slider As always, feel free to contact me (ckurnia@esri.com) if you need more info or have questions. ... View more

Imagery & remote sensing technologies have advanced rapidly. High resolution and up-to-date raster data are increasingly becoming widely available from satellites, planes, and drones, along with scientific, elevation, categorical and multidimensional datasets. New tools and workflows make working with imagery faster and easier, both on desktop and cloud.  Following is the list of resources: Presentation slide deck (presented on the Technology Track at 2022 ISPRS Congress) Ready-to-Use Apps Landsat Explorer Sentinel-2 Explorer Earth Observation Explorer World Imagery Wayback Gallery of imagery apps from Esri Ready-to-use imagery and apps (StoryMap) Build your own imagery app (StoryMap) Story Maps featuring imagery Get started with imagery (Lesson) ArcGIS Image for ArcGIS Online Get started with ArcGIS Image for ArcGIS Online (a blog with comprehensive list of resources) Try ArcGIS Image for ArcGIS Online (tutorial series) Deep Learning using ArcGIS Image for ArcGIS Online  Analyze imagery with ArcGIS Notebooks (tutorial series) ArcGIS Pro Introduction to the ArcGIS Pro Image Analyst Extension ArcGIS Pro Imagery Lesson gallery ArcGIS Notebooks, Python, R and APIs ArcGIS Developer ArcGIS Notebooks R-ArcGIS Bridge ArcGIS Notebooks in ArcGIS Pro ArcGIS Notebooks in ArcGIS Online Teaching with ArcGIS Notebooks (tutorial series) Learn Python with ArcGIS Notebooks (tutorial series) R-ArcGIS Bridge lesson Downscale climate data with machine learning Identify an ecological niche for African buffalo ArcGIS Drone2Map Incorporating ArcGIS drone solutions into your classes  Data ArcGIS Living Atlas of the World – Imagery content ArcGIS for Microsoft Planetary Computer Datasets available through the Planetary Computer API Imagery Workflows Imagery Workflows website : https://doc.arcgis.com/en/imagery/workflows/ Deep Learning in ArcGIS How to get started learning and teaching deep learning analysis in ArcGIS Pretrained deep learning models Pretrained deep learning packages  Teaching materials to aid the development of university-level curricula Introduction to Imagery & Remote Sensing Getting Started with Imagery and Remote Sensing Education Resources Image and Raster Analysis Tools in ArcGIS – (a blog with comprehensive list of resources) Imagery and Remote Sensing e-learning guide Learn ArcGIS Esri Academy course catalog Esri MOOC – Imagery in Action Esri Press books for imagery and remote sensing The ArcGIS Imagery Book GIS for Science Technology Showcases Webinar series for imagery and remote sensing in higher education Webpages Imagery and Remote Sensing in Higher Education Imagery in ArcGIS overview ArcGIS Image  Events: Esri Imagery and Remote Sensing Educators Summit Contact: Contact Esri Education team Contact Esri offices and distributors Join Esri Community - Education and subscribe to Education blog   For questions, if you need assistance, or would like to connect,  feel free to contact Canserina Kurnia at ckurnia@esri.com. ... View more

ArcGIS Image for ArcGIS Online, is a complete SaaS offering that provides capabilities for hosting, analyzing, and streaming imagery and raster collections in the cloud.  It provides a new option for performing image analysis in the cloud without the need to install any software.  For those who are teaching, this product provides an easy way for the students to learn image analysis and exploration.   Following is a list of topics and resources to help you getting started and get familiar with ArcGIS Image for ArcGIS online. Webinar:  Introducing ArcGIS Image for ArcGIS Online:  Access to recording | Slide deck Enabling ArcGIS Image for ArcGIS Online The following steps need to be executed by ArcGIS Online Administrator Sign-in to your ArcGIS Online org as Administrator  Choose Organization > Licenses Scroll down and find section for User type extensions Click Manage Assign the extension to the members who will need to use the extension  Notes: If you are using custom role for your members, in addition to enable user type extension, the following privileges (in Settings) need to be turned on: Publish hosted tiled imagery layers (Content) Publish hosted dynamic imagery layers (Content) Image Analysis (Premium Content)   Publish imagery layers All imagery files must be published into hosted imagery layers in ArcGIS Online.  There are two types of hosted imagery layers supported in ArcGIS Online. Tiled imagery layers Tiled imagery layers – Analysis and rendering are done on the client machine, and imagery is processed as static tiles for faster rending. It is still maintained full pixel fidelity.  Tiled imagery layers can be used for analysis, and support different bands, bits, and multiple dimensions. It is fast and performant, takes less credits to use, and better in handling many requests.   Tiled imagery layers support all sharing options, including Public.   Resources to learn more about tiled imagery layers: Create Tiled Imagery (2:11 video) Work with Tiled Imagery (3:01 video) Dynamic imagery layers Dynamic imagery layers – Analysis and rendering are done one the ArcGIS Online server machines, and image collections are supported, maintaining the original image file formats.  It is based to serve for overlapping, multiresolution, multitemporal imagery or image collections (analogous to mosaic datasets).   Dynamic imagery layers cost more credits to serve and at this release, dynamic imagery layers cannot be served publicly. Resources to learn more about dynamic imagery layers: Create Dynamic Imagery (1:59 video) More on the topic:  Your Guide to Sharing Imagery & Raster Data  Best practices: We recommend using Tiled imagery layers first, as it is powerful, faster performance, can be used for analysis, and takes less credits for storing and performing analysis. If it does not work for your workflow, then try Dynamic imagery layers.   Performing Raster Analysis Once you have your imagery published to your organization, you can use raster analysis tools and raster functions accessible from Map Viewer (Classic).  Inputs and output can be from tiled or dynamic imagery layers. Raster Analysis Tools In the current release, there are 20 + Raster Analytics tools, from simpler tools such as Extract Raster and Calculate Slope to more advance tools such as detect Objects Using Deep Learning and Aggregate Multidimensional Raster. Resources to learn about raster analysis in ArcGIS Online: ArcGIS Image for ArcGIS Online: Analysis (video: 5:39) Raster analysis tools Note: For all Raster analysis tools, ArcGIS Online will prompt for confirmation when more than 50 credits will be required for analysis.  Raster Functions In additional to ready-to-use raster analysis tools, there are 150 + Raster Functions available to use, together with Raster Function Editor, a visual programming interface for building imagery and raster analysis processing chains, that further can be saved as raster function templates. Resources to learn about raster function in ArcGIS Online: Raster functions Raster Function Editor   Access for developers Access to imagery layers and raster analysis can also through ArcGIS Python libraries:  ArcGIS API for Python: A simple and lightweight library for managing imagery and raster data, managing Web GIS, and performing advanced image analysis ArcPy: A comprehensive and powerful library for imagery and raster analysis, data management and conversion Use ArcGIS Notebooks in ArcGIS Online or ArcGIS Pro as the IDE for working with these libraries. NEW LESSON:  Analyze imagery with ArcGIS Notebooks   Best Practices Some best practices to consider for working with ArcGIS Image for ArcGIS Online for teaching or research: Set credits limit for each member working imagery data and analysis, enough for them to work comfortably (e.g set for 1000 – 3000 credits to start with).  Administrator can add more credits if necessary For teaching, recommended workflow is for the Instructor to publish the raster dataset into Imagery layer (preferably Tiled Imagery Layer) and share with the students.  In that way, each student does not need to upload and host the same data, instead use the shared imagery layer for analysis. Clean up (delete) any raster imagery items or intermediate result items that are no longer needed after the class (or in research) to save storage costs   Additional Resources Get overview of the capabilities of ArcGIS Image for ArcGIS Online by watching this video. ArcGIS Image for ArcGIS Online Implementation Guide Get to know ArcGIS Image for ArcGIS Online Lesson:  Learn path on Try ArcGIS Image for ArcGIS Online  Analyze imagery with ArcGIS Notebooks - NEW Blogs: Raster Analytics and Deep Learning in ArcGIS Online Actionable Information from Imagery Direct Publishing of Airbus Imagery to ArcGIS Image for ArcGIS Online using ArcGIS Notebooks ArcGIS Image for ArcGIS Online – Bringing Imagery and GIS analysis together Control the visualization of your imagery with dynamic imagery layers How can tiled imagery layers from ArcGIS Image for ArcGIS Online make your imagery more useful? ArcGIS Image for ArcGIS Online advantages for your organization Contact Canserina Kurnia (ckurnia@esri.com) if you need more information or need assistance in using ArcGIS Image for ArcGIS Online in your classroom or research. ... View more

Following the success of the same event last year, Esri will be conducting 2022 Esri Imagery and Remote Sensing Educators Summit, taking place Thursday, March 31, 2022. This is a great event for all instructors and researchers involved in remote sensing technology.  By attending you can: Participate in conversations shaping the future of imagery and remote sensing in academia. Be inspired by colleagues with innovative teaching approaches that develop skills in technology, critical thinking, collaboration, and problem solving.  Learn more about Esri's latest offerings for imagery, on-premise and in the cloud Discover free resources to support learning, including web courses and course packages. REGISTRATION is now open, and it is complimentary.  Students, especially postgraduate students are welcome as well. To give you some ideas, feel free to take a look of last year (2021) proceedings. Hope to see you there! ... View more

Many of us use drone imagery for teaching, research and other proposes.  Drone imagery fill gaps in data needs, between the aerial data captures and terrestrial data captures.  Esri provides two products to process drone imagery: ArcGIS Drone2Map and Site Scan for ArcGIS. So what are the differences between these two products? In a nutshell, ArcGIS Drone2Map is a desktop-based drone imagery processing software.  While Site Scan for ArcGIS is a cloud-based drone image processing software.  ArcGIS Drone2Map Since this is a desktop-based product, it has ability to process the drone data without the need of internet connection. It is a good solution when you are on the field with your laptop and want to have a quick look of the result.   Once connected to internet, the drone imagery can then be published to ArcGIS Online and/or ArcGIS Enterprise.   Site Scan for ArcGIS As a cloud-based drone imagery processing, it provides a complete end-to-end drone mapping software from drone flight planning, pre-flight checklist, fleet management, process, analytics, and sharing.   Unlimited amounts of drone flight data can be processed into 2D and 3D outputs through a scalable cloud environment.  Because the data is in the cloud, it is a lot more scalable and there is no necessity to publish the data or upload the data.  It can be immediately accessible anywhere and by any devices.   Map Production from ArcGIS Drone2Map ArcGIS Drone2Map can create 2D and 3D products, including generating 3D point clouds and textured meshes. It is integrated with ArcGIS platform and provides some focused analytical tools such as generating contours , volumetric calculations, viewing spectral indices, etc. It’s also important to emphasize that Drone2Map is built on the ArcGIS Pro framework, and provides a single button experience to open the data products within ArcGIS Pro.  The dynamic orthomosaics generated by the mosaic dataset can be used both within Drone2Map and also ArcGIS Pro.  ArcGIS Drone2Map has a very streamlined workflow for simplified publishing of data products to ArcGIS Online and Enterprise.     Map Production from Site Scan for ArcGIS In similar fashion, Site scan for ArcGIS is a processing platform that takes drone imagery and processes and create the outputs, however because it is developed as end to end solution, it comes with: Site Scan flight for ArcGIS, an iPad application, where you create pre-flight checklist and flight plans for others to execute and for controlling the drone flight.   This is an industry-leading application with many advanced features.  In fact this a free app to download. The post flight processing is controlled by a web application called Site Scan Manager, which includes tools for image analysis and reporting Site Scan Manager also includes tools for image analysis and reporting, and a very important Fleet Management capability to enable organizations to keep track of their drones, batteries, and pilots All of the processing is performed in the cloud, and provides a very simple workflow for publishing to ArcGIS Online or Enterprise, Since Site Scan is used heavily in the world of engineering and construction, it has an interface for sharing data with Autodesk BIM 360.    Resources Check 2D and 3D Drone Collection, Processing and Analysis with ArcGIS Drone2Map and Site Scan for ArcGIS – Recording archive from Education Chat September 2021 edition, featuring Jeremiah Johnson, Imagery Solutions Architect from Esri.  ArcGIS Drone2Map Drones2map product site Drone2Map Learn Path: https://learn.arcgis.com/en/projects/get-started-with-arcgis-drone2map/ Site Scan for ArcGIS Site Scan product site Reality Capture and Site Scan for ArcGIS plenary video https://www.youtube.com/watch?v=4V4rB7gYg8Y Esri Australia UC2020 Site Scan end-to-end workflow: https://youtu.be/JCOEAJSxSiY GeoNet (community, questions, blog, ideas)   Pricing Education pricing is available for both products.  Contact highered@esri.com to get information.  ... View more

The Esri Education team recently conducted the Demystifying Deep Learning Analysis for Your Students webinar. During the webinar, we received questions from the audience on: How to get started? Can I use the webinar contents to engage our students? Can we get step-by-step instructions and where the data can be found? Is Esri platforms offers deep learning tutorials (e.g Learn ArcGIS)? The general answer to the questions above is YES, and below are further details pertaining to these questions.   Webinar contents The link to webinar slide deck and recording are available in this blog.  Deep Learning workflow At a high level, deep learning workflow in ArcGIS consists of the following steps:   In an essence, you need to label your data, train the deep learning model, and then run inferencing. But at a high level, it is the entire ecosystem working together. Begin with collections of imagery that may be managed by an image server (or cloud, or locally), and later use a suite of tools to perform downstream analysis to obtain the results. You can take it further by using apps like ArcGIS dashboard or ArcGIS StoryMap, to translate those results into actionable insights. This results in a complete end-to-end geospatial deep learning system. Take a look of some deep learning applications to inspire you and your students.    How to get started As mentioned in the webinar, there are two options to get started with deep learning analysis.   Option 1: Use pre-trained AI models This is the best way to introduce deep learning into your classroom. This option eliminates the need for having imagery for model training and labeling requirements, thus training the model itself (that may need massive computer requirements). It is both simple and time-saving.     At the time this blog was posted, there were 90+ ready-to-use pre-train models provided by Esri on the ArcGIS Living Atlas of the World. Take a tour of pre-trained AI models currently available in ArcGIS Living Atlas of the World to get a better idea of each model.  These pre-trained models can be used in ArcGIS Pro, ArcGIS Image Server and ArcGIS Image for ArcGIS Online. Each pre-trained model comes with a step-by-step PDF guide on how to use it. Watch the following short video to access and download this pre-trained model. This option is the quickest and simplest option to introduce deep learning analysis for your students.   Option 2: Train your own model The pre-trained models have been tested and work well in certain areas, especially globally.  However, there will be some cases that the models won’t perform well in your area of interest since the features/objects or other parameters may be different. In that case, you may prefer to utilize option 2: Train your own model, so it is specific to your geography area, resolutions, imagery properties and other asset types. ArcGIS has complete end-to-end capabilities to train your own models. You can use the tools available in ArcGIS Pro and ArcGIS Image for ArcGIS Online, or use ArcGIS Python API coding in notebooks.  Resources to train your own model: Watch the demos in the webinar recording for the workflow to train your own model.   Workflow on using deep learning for feature extraction and classification, which provides the steps, resources, and links to help docs, blogs, articles, interactive maps, and more Search for deep learning analysis samples on this collection of Sample notebooks Watch the videos and take lessons on Learn path: Extracting information using image classification  An article on how the deep learning models in the arcgis.learn module can be tapped into, to perform various GIS and remote-sensing tasks  Lessons Access list of lessons in Learn ArcGIS related to deep learning.    Installation of deep learning libraries You need to install deep learning libraries to work with ArcGIS Pro and ArcGIS Enterprise. To simplify the installation of dependencies of arcgis.learn, we provide in GitHub, deep learning libraries installers for ArcGIS (ArcGIS Pro, Enterprise, and ArcGIS API for Python). Install the package to get all the dependencies in place for your deep learning analysis.   More resources GeoAI examples and resources in general: GeoAI Hub Demo Resources: https://demos-geoai.hub.arcgis.com/notebooks/ GeoAI Medium (Technical Blogs): https://medium.com/geoai  Ready-to-use Geospatial Deep Learning Models (blog) Esri Community: https://community.esri.com/   Deep learning analysis is an exciting and valuable technology for students to learn. We hope these resources can help you to get started. Feel free to contact me at ckurnia@esri.com if you have any questions, need some assistance, or would like to send us feedbacks for additional resources needed.  ... View more

Esri has developed tools and workflows to make working with imagery faster and easier, both in the desktop or cloud.    Following is the list of Imagery and Remote Sensing Resources that can be used for teaching and research.  Imagery Workflows Imagery Workflows website Education Resources Introduction to Imagery & Remote Sensing – teaching materials  Image and Raster Analysis Tools in ArcGIS – Latest resources Imagery and Remote Sensing e-learning guide Esri MOOC - Imagery in Action (check the next offering) Teaching Modern Remote Sensing (blog) Webpages Imagery and Remote Sensing in Higher Education Imagery in ArcGIS overview Apps Gallery of imagery apps from Esri Build a web app with imagery (ArcGIS StoryMaps story) Ready-to-use imagery and apps (ArcGIS StoryMaps story)  Story Maps featuring imagery Data ArcGIS Living Atlas – Imagery content  Community: Join at Esri Community - Education For more information or if you need assistance, feel free to contact Canserina Kurnia at ckurnia@esri.com. ... View more

Recently we conducted a webinar on "Advancing Your Curriculum With the Latest Image and Raster Analysis Tools".   We showcased the following tools: Raster Functions Multidimensional Analysis Change Detections  Deep Learning with Imagery Following are list of resources for each topic that can be used to further learn about the topic or to adopt them for teaching and research.   1. Raster Functions Analyzing Imagery using Raster Functions (workflow) Get Started with raster functions in ArcGIS Pro (tutorial) Lessons that contain steps in using raster functions: Calculate impervious surfaces from spectral imagery Explore future climate projections Share raster data as an analytical image service Assess hail damage in cornfields with satellite imagery 2. Multidimensional Analysis Analyzing Multidimensional Data (workflow) Perform multidimensional raster analysis in ArcGIS Pro (tutorial) Lessons:  Get started with multidimensional multispectral imagery Evaluate Ethiopia’s changing landscape Monitor wind conditions for oil leasing sites Explore and animate geological data with voxels Visualize and explore coral reef habitats with voxels 3. Change Detection Introduction: change detection wizard in ArcGIS Pro 2.7 (video) Lessons:  Classify land cover to measure shrinking lakes Assess hail damage in cornfields with satellite imagery Assess burn scars with satellite imagery 4. Deep Learning Deep Learning with Imagery (StoryMap) Pre-Trained AI Models (StoryMap) Using Deep Learning for Feature Extraction and Classification (workflow) Ready-to-use Geospatial Deep Learning models (blog)   In addition, following are list of general resources related to imagery and remote sensing:   Imagery Workflows: Imagery Workflows – Best practices and links to many resources Educational Resources: Materials to aid the development of university-level curricula Higher Education Guide to Esri E-Learning on Imagery and Remote Sensing Imagery in Action MOOC – starting August 11th Webpages: Imagery and Remote Sensing in Higher Education Imagery & Remote Sensing product page   We will keep adding more materials and lessons in the near future.   Feel free to contact me at ckurnia@esri.com if you have questions or need some assistance to use/adopt the above tools/workflows.  ... View more

With the vast availability of imagery that is streaming down daily from a variety of sensors, the need for artificial intelligence (AI) to automate feature extraction is increasing.  Many use cases are now available, showing the benefit of using this cutting edge of technology.   Universities have started incorporating deep learning/AI into their teaching and research. To support, Esri is providing ready-to-use geospatial AI models in the ArcGIS Living Atlas of the World.   There are currently over 60 pretrained deep learning models have been made available.   The ability to train deep learning models on geospatial datasets and derive information products is available using the ArcGIS Online raster analysis tools, ArcGIS Pro or ArcGIS API for Pytho. Users can also scale up processing using ArcGIS Image Server. Following are a list of resources to get familiar with these ready-to-use deep learning models and how to get started.  Ready-to-use Deep Learning Models Ready-to-Use Geospatial Deep Learning Models (blog) Introducing pre-trained geospatial deep learning models (blog) List of ready-to-use deep learning model in ArcGIS Living Atlas of the world Deep learning models in arcgis.learn Building footprint extraction sample (StoryMap) DL Libraries Installer Esri GitHub repo on Deep Learning GeoAI Access to GeoAI resources and examples GeoAI Medium (technical blogs) Notebooks Sample Notebooks Community Imagery and Remote Sensing community page on GeoNet Official Imagery and Remote Sensing in Higher Education   Please feel free to contact me at ckurnia@esri.com if you are interested in adopting these deep learning model for your classroom, research, or have any additional questions. ... View more

ArcGIS Enterprise 10.9 is just released.  It introduces new features for data management and administration, updates across applications, and enhanced functionality throughout the product. It also launched a new cloud-native deployment option, ArcGIS Enterprise on Kubernetes. Following are links to  blogs and documentation to help you get familiar with the features of this release: What’s new in ArcGIS Enterprise 10.9 Map Viewer Beta in ArcGIS Enterprise 10.9 Migrating services to the ArcGIS Pro-based runtime in ArcGIS Enterprise 10.9 What's New in ArcGIS Enterprise 10.9: Administrative Reports ArcGIS Enterprise 10.9 Functionality Matrix What is ArcGIS Enterprise on Kubernetes For feedback and questions, feel free to head over to Esri Community questions board or submit your needs on the ArcGIS Enterprise  ideas boards. ... View more

We just finished the 1st day of the Esri Imagery and Remote Sensing Educators Summit. We had great lightning talk presentations, and engaging discussions in each working group. Panelists and participants enjoyed sharing knowledge, experience, ideas, current and near-future technology, challenges and of course opportunities moving forward. One common question asked by attendees was in regards to resources for further learning and adoption in teaching and research.   Following are the list of resources that we compiled for each working group topic: Working Group 1 - Drones - Drones in Education: Challenges Implementing UAS Technology Resources: UAS tutorials in AmericaView (youtube channel) Teaching with Drones webinar (blog) ArcGIS Drone2Map Introduction  Drone processing lessons from Learn ArcGIS:  Get started with ArcGIS Drone2Map Estimate water storage capacity with drone imagery Transform drone imagery into a 3D scene Site Scan for ArcGIS Getting Started with Site Scan for ArcGIS Creating Imagery Products with Site Scan for ArcGIS  Webinar re: Construction applications  Webinar with DJI (new features in Flight app) Free version of Site Scan Flight app   Working Group 2 - 3D Imagery - Remote Sensing the Foundation for 3D Capture and Reality Mapping Resources: Digital Twin Getting Started with 3D maps in ArcGIS Online Getting Started with 3D maps in ArcGIS 3D basemaps: New 3D basemaps solution Introduction to 3D basemaps ArcGIS Urban:    User stories: Uppsala, Hardeeville, Geneva, Seattle, Boston, Honolulu, Boulder    Learn Lesson: Climate Proof a Neighborhood with ArcGIS Urban    Learn Lesson:  Plan scenarios for future land use NFrame Esri + nFrames Apply for a Research nFrames license   Working Group 3 - GEO AI/ML/DL - Recognizing opportunities and challenges utilizing GEO AI for education Resources: GeoAI resources landing page GeoAI application Examples What’s new in GeoAI? Deep learning packages in ArcGIS Living Atlas of the World Geospatial deep learning with arcgis.learn GeoAI and Deep Learning Resources Join GeoAI Community in LinkedIn   We will present the results of working groups on the 2nd day of the summit, April 29, 2021.  It is not too late to register and join.  Day two is also packed with technology updates and other teaching resources. More resources including the recording and presentations will be shared a few weeks after the summit.  Attendees will receive an email with the links.  Feel free to leave your comments/questions, or contact highered@esri.com for specific questions.    ... View more