Latest Contributions by CanserinaKurnia

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

With the upcoming April update of ArcGIS Online, you will see announcements that the new Map Viewer is out of beta and released for general use.  The documentation will refer to this as Map Viewer, while the original Map Viewer will be named Map Viewer Classic.    It is ready when you are! You have choices to either use the new Map Viewer or keep using Map Viewer Classic, or switch between the two depending on your tasks and preferences.  Map Viewer Classic will be available for some time, giving you the ability to get comfortable with the new Map Viewer, and adjust your course materials.  Some workflows are not yet available in the new Map Viewer. The latest compatibility guide and functionality matrix, which will be released with the update, can help to give you some guidelines.  Capabilities   There are many exciting capabilities in the new Map Viewer.  To start with, it is modern, runs faster, includes smart mapping tool and advanced symbology, styling and labeling.  It supports group layers, chart authoring, enhanced bookmarks, and sketching; which are only available in the new Map Viewer. The Try the new Map Viewer discovery path can help you get started, or watch the recording from Education chat on using the new Map Viewer.     Settings As a user, you can choose your primary map viewer from your user settings page. You can change the primary viewer setting whenever you want (in addition to being able to switch back and forth between the two as you work). There is also an organization-wide primary map viewer setting that your ArcGIS Online Administrator can set.   Until a primary map viewer is chosen explicitly, the default Map Viewer is Map Viewer Classic for existing organizations. If the organization-wide primary map viewer setting has not been changed to the new Map Viewer,   when you open the map section for the first time after the release, you may be prompted with the following messages that: 1. Show option to open the new Map Viewer (or not) 2. If you clicks to open the new Map Viewer, another popup message will appear, informing how to configure which viewer would you like to set in your user settings.  To switch/toggle between these two map viewers, the link is available top right above the map.   You will have the ability to switch between the map viewers as often as you want. More blogs and documentations will be available soon after the release.  As always, reach us at highered@esri.com if you have questions or concerns.   ... View more

The use UAVs, including Drones to capture data are increasing.  Universities recognized the demand on the skills and offer the  programs for UAV/drone pilot and data processing.    We recently brought the topic ”Teaching with Drones” into higher education web meeting, with three speakers: Dr. Wing Cheung; Professor of Geography and the co-founder of the drone technology program at Palomar College; Coordinator of the Geographic Information Science as well as the Environmental Studies programs; Principal Investigator of the NSF funded UAS operations technical education project (UASTEP).  In his presentation, he covered: why do drone operations need to know GIS, idea for integrating drone data into GIS classes, impacts on the student careers and lingering challenges. Resources: Program www.palomar.edu/gis/uav Blog https://spatialreserves.wordpress.com/?s=uas Out-of-the-box labs and lessons http://uastep.org/course-outline-palomar/ UASTEP project http://uastep.org Alumni story http://bit.ly/michelleuas (video) Dr. Bo Yang is an Interdisciplinary Post-doctoral Scholar at University of Central Florida and the UAV research lead in the Citizen Science GIS group; currently co-leading with Dr. Timothy Hawthorne an NSF collaborative coastal mapping project for UAV remote sensing and GIS analysis, with the components of public participatory GIS, UAV training, and community outreach.  In his presentation, he shared the experience running this research project, and be able to continue the project even during the pandemic Resources: Project Page: https://www.citizensciencegis.org/nsfsmithsoniandrones UAV Mapping (StoryMap) Open access training course Cody Benkelman is a Product Manager on the Imagery Team at Esri; focuses on imagery, lidar, and video, and specifically on 2D and 3D products from drone imagery.  In his presentation, he talked about the latest updates on Esri technology in regard to drone data processing that applicable for teaching and research. Resources: Free version of Site Scan Flight app at http://esriurl.com/SSEE ArcGIS Drone2Map Introduction https://www.youtube.com/watch?v=XTB_bM10mSM   Drone processing lessons from Learn ArcGIS:  Transform drone imagery into a 3D scene Estimate water storage capacity with drone imagery Overview webinar including Site Scan: http://esriurl.com/DroneCollectionsAg032020 Site Scan for ArcGIS Webinar re: Construction applications: https://esriurl.com/SiteScan4AEC   Webinar with DJI (new features in Flight app): https://esriurl.com/SiteScanDJIwebinar   Ortho Mapping within ArcGIS Pro  https://www.youtube.com/watch?v=-wmJmNGBFuc&t=122s     The recording and slide decks from this web meeting are now available.  Need more information? please contact highered@esri.com ... View more

As ArcGIS Notebooks keep improving across platforms like ArcGIS Online, ArcGIS Enterprise and ArcGIS Pro, more learning resources becomes available.  We’d like to share these new resources so you can incorporate them into your coursework and curriculum. Following are some highlights:      ArcGIS Notebooks in the cloud (ArcGIS Online)   With the December release of ArcGIS Online, ArcGIS Notebooks comes with an improved user experience with a new interface where you can easily: Search for or filter your own notebooks View shared notebooks in your organization View Esri sample notebooks Search to find other notebooks   New ArcGIS Notebooks landing page In the same user interface,  you can also create new notebooks , and manage currently running notebooks container.   Create new notebook interface   New Learning materials released   In January 2021, the Learn ArcGIS team released a Learn Python with ArcGIS Notebooks learn path. It is intended for students and everyone who would like to learn how to create Python code for data visualization, analysis, and management using ArcGIS Notebooks in ArcGIS Online. Hello, Notebook! ArcGIS Notebooks: Terminology, Components, and Shortcuts ArcGIS Notebook Runtimes, Environments, and Packages Understanding Web GIS Using ArcGIS Notebooks Arcpy in ArcGIS Notebooks Smart Mapping with ArcGIS Notebooks Data Visualization with the Spatially Enabled DataFrame Imagery Across the Platform with ArcGIS Notebooks In addition, the learn path Teach with ArcGIS Notebooks , contains 6 lessons, will help Educators incorporating ArcGIS Notebooks in teaching.    ArcGIS Notebook Server   The built-in notebook scheduler capability for ArcGIS Notebook Server has been added into ArcGIS Enterprise 10.8.1.  Creating Tasks to schedule notebooks allows to automate routine workflows, run data-intensive processes during off-peak usage hours and regularly update datasets.    Interface to create a task in ArcGIS Notebook Server Notebook authors can schedule ArcGIS Notebooks for automated execution at a fixed time in the future, either once or on a recurring basis.    The same capability is scheduled to be added into ArcGIS Notebooks in ArcGIS Online later this year. Check the What’s new in ArcGIS Notebook Server 10.8.1 doc for more information.   ArcGIS Notebooks in ArcGIS Pro   ArcGIS Notebooks in ArcGIS Pro gives GIS professionals a place to run Python notebooks in the Jupyter notebook environment within ArcGIS Pro.  It was first introduced in the ArcGIS Pro 2.5 release.   ArcGIS Notebooks in ArcGIS Pro Now in ArcGIS Pro 2.7, these are the Notebooks enhancements: Collapsible Headings are now supported Autosave is now enabled (every 120 seconds) Notebook commands are now available using keyboard shortcuts, accessible through the mode switch of Esc and visible from the Notebook menus Shell commands were partially enabled at ArcGIS Pro 2.6,  but are now fully supported at ArcGIS Pro 2.7   Learning resources: ArcGIS Notebooks Basics  - A web course to learn how to use ArcGIS Notebooks in ArcGIS Pro ArcGIS Notebooks in ArcGIS Pro (2.7) on GeoNet – a tutorial and FAQ ArcGIS Pro documentation   For complete resources, check out this curated Spatial Data Science in Higher Education landing page.       ... View more

Esri Innovation Program conducted a Web meeting on the following subject.  Here is the recording and resources: Topic:  ArcGIS Notebooks in Higher Education   November 12: 11:00 AM – 12:00 PM PST (2:00 PM – 3:00 PM EST)   Recording [esriis-my.sharepoint.com] Slide decks [esriis-my.sharepoint.com] Other resources: Build your own ArcGIS Usage Dashboard (by Peter Knoop) Clone an ArcGIS Storymap (by Peter Knoop) Teaching with ArcGIS Notebooks (Learn path by Gregory Brunner) Presenters:   Tyler Davis – College of William and Mary Gregory Brunner – Saint Louis University, Data Scientist, Esri Peter Knoop – University of Michigan Shannon Kalisky – Product Manager, Esri Description:     ArcGIS Notebooks provides an easy way to combine Python libraries from ArcGIS API for Python, ArcPy, and open-source Python libraries in a single notebook environment, optimized for spatial analysis.  Join us to learn how higher education colleagues are incorporating ArcGIS Notebooks into the classroom and get the latest updates from the product development, with plenty of opportunity for questions/discussion.     -------------------------------------------------------------------------------------------------------- ... View more

Esri Innovation Program (EIP) is regularly conducting web meetings on various topics: Below are the archives of previous meeting recordings and resources. --------------------------------------------------------------------------------------------------- Date: October 22: 11:00 AM – 12:00 PM PT (2:00 PM – 3:00 ET)   Topic:  New Technology:  Kubernetes and Voxel   Link to recording and use the password: u@#dh8ZG Link to slide decks Presenters:     Trevor Seaton – ArcGIS Enterprise team, Esri (15 min)   Rob Fletcher – Enterprise App Dev Technology team, Esri (15 min)   Neeti Nayak – Voxel layer team, Esri (15 min)       Description: Kubernetes is an open source container orchestration system for automating computer application deployment, scaling and management.  In this meeting, we will learn a couple implementation ideas: Trevor Seaton will introduce the upcoming release of ArcGIS Enterprise in Kubernetes and Rob Fletcher will share his experience in using Kubernetes for a Deep Learning project.   Another topic will be presented during this web meeting is Voxel layer, that will be introduced by Neeti Nayak.          ... View more

The following FAQ will answer some of your commonly asked questions as it relates to using ArcGIS Notebooks in the cloud (ArcGIS Online).  This list will continually be updated.  Introduction to ArcGIS Notebooks Q: What is ArcGIS Notebooks? A: ArcGIS Notebooks provides a Jupyter notebook experience optimized for spatial analysis.  Q: What are benefits of using ArcGIS Notebooks? A: ArcGIS Notebooks ships with hundreds of open source Python libraries alongside the ArcGIS Python libraries, ArcPy, and the ArcGIS API for Python. Other benefits include: Provide easy sharable, consistent Python environment. Reduces time spent in managing dependencies. Direct access to web maps and apps. Q: What are options to work with ArcGIS Notebooks in the ArcGIS platform? A: Options to work with ArcGIS Notebooks in ArcGIS platform are: ArcGIS Notebooks for Enterprise (server) ArcGIS Notebooks in the cloud (ArcGIS Online) ArcGIS Notebooks in ArcGIS Pro (workstation) ArcGIS Notebooks for Developers (Builder plan and higher) Q: What are the differences between ArcGIS Notebooks Standard, Advanced and Advanced with GPU Support? Standard– includes the ArcGIS API for Python and hundreds of open source libraries; appropriate for administrative tasks, data engineering, and light analytics. While standard notebooks themselves are free to create and run, anything that would ordinarily consume credits in ArcGIS Online still does when performed in a notebook (running analysis or accessing premium content). Advanced– includes everything offered in Standard plus ArcPy; offers a larger instance size (more compute and memory resources); appropriate for most workflows including large scale data engineering, advanced analytics and some machine learning workflows; credit rates apply. Advanced with GPU– includes everything in Standard and Advanced along with a GPU powered instance that offers the highest amount of compute and memory resources; appropriate for computationally intensive workflows such as big data analytics, model training and model inferencing; credit rates apply.   Enabling Access to ArcGIS Notebooks Q: Is a custom role needed to enable ArcGIS Notebooks access? How do I enable access to ArcGIS Notebooks for all the members in ArcGIS Online? A: Notebook privileges are assigned through the role settings. To assign privileges that allow users to access standard or advanced notebooks in ArcGIS Notebooks, you’ll need to create a custom role in your ArcGIS Online Settings (by Administrator).  You can create the custom role based on any of the default roles such as Publisher role.   Once a new custom role is created, you will need to add notebook create and user privileges to your new custom role: Under Role privileges, expand the Content group and turn on Create and edit notebooks. This allows the user to create and edit standard notebooks. Expand the Premium content group and turn on Advanced Notebooks. This allows the user to create Advanced Notebooks that use ArcPy or access the GPU-enabled notebook runtime. Once you’ve created a custom role with Advanced Notebooks enabled, you can make that role the default role for new users (Settings > New member defaults).   All users joining the organization from this point forward will automatically have access to ArcGIS Notebooks.  You will also need to assign that custom role to the existing members.   Q: Is there documentation on how to set up access to ArcGIS Notebooks I can give to my Administrator? A: Yes. This PDF lesson provides a step-by-step instruction on how to setup access to ArcGIS Notebooks by an Administrator. Q: Is there any way to control this default setting? It seems like if you enabled Advanced access, when you spin up a Notebook, it defaults to Advanced.  Can the default change to Standard, even for users with Advanced access? A: No, not with the current release. The Product team is working on a new launch experience that will make it easier for users to not accidentally pick an advanced runtime if that is not what they desire.  Credits Calculation Q: How is credit usage calculated with Advanced and Advanced with GPU? A: Credit is charged per minute so if you divide those rates listed in the doc by 60, you will get the per minute pricing. Knowing the hourly rates makes it easier to do quick estimation. Use this as a reference:               Standard:                            0 credits/minute                                                                                             $0 USD/minute                                                  Advanced:                          .05 credits/minute                                                                          $0.005 USD/minute                                                          Advanced with GPU:       .5 credits/minute                                                                                                                                        $0.05 USD /minute              Q: Can you give examples of credit usage for using ArcGIS Notebooks for a class? A: The credit usage will depend on the amount of time Notebooks are used. It also depends on the number of users and whether Notebooks are being used a few hours a week in a class or being used in a research project (many hours per week for an entire year). For example, if a class of 20 students uses Notebooks for an average of 4 hours per week for a 16-week long course, the credit usage would be: Advanced Notebooks:   3,840 credits total for course = 20 students x 4 hours x 16 weeks = 1,280 hours = 76,800 minutes @ 0.05 credits/min Advanced Notebooks with GPU:  38,400 credits total for course = 20 students x 4 hours x 16 weeks = 1,280 hours = 76,800 minutes @ 0.5 credits/min If an individual researcher uses Notebooks an average of 20 hours per week for a year (excluding a 4-week vacation), the credit usage would be: Advanced Notebooks:   2,880 credits total for course = 1 researcher x 20 hours x 48 weeks = 960 hours = 57,600 minutes @ 0.05 credits/min Advanced Notebooks with GPU:  28,800 credits total for course = 1 researcher x 20 hours x 48 weeks = 960 hours = 57,600 minutes @ 0.5 credits/min Thus, in a classroom setting, you may want to budget 200-500 credits per student for Advanced Notebooks or 2,000 – 5,000 credits per student for Advanced+GPU. In a research setting, you might want to budget 3,000 – 5,000 credits per person for Advanced Notebooks or 30,000 – 50,000 credits per person for Advanced+GPU. Working with ArcGIS Notebooks Q: How long can a notebook be open before it goes idle and automatically disconnects?  A: 20 minutes. We do not charge for idle time, credits are calculated based on the last activity within the notebook.   Q: What happens if I forgot to close the Notebooks? A: The notebook will time out and disconnected after 20 minutes of being idle.   Q: Can I use local data with ArcGIS Notebooks in ArcGIS Online? A: Yes, you can.  On the Files component in ArcGIS Notebooks, you can upload your local data into /arcgis/home. You can also use the Python API to create a new folder and add data there.   Q: Can I create a new file folder under Files? A: Yes, but you must do it using the ArcGIS API for Python. Adding new files to this location will also require the use of Python code.   Q: Is there a limit to how much data (rasters, shapefile, file geodatabases) I can upload into ArcGIS notebooks? A: This depends on how you bring in data, using the ArcGIS API for Python to add data will allow you to bring in larger file sizes. The current file size limit using the upload UI under Files is 20MB. A new big file uploader is on the roadmap to increase the file size allowed by the upload UI.   Q: Can you schedule notebooks? A: No, not with the current release.   Q: Can I download a notebook from ArcGIS Online? A: Yes, here are two options: 1) In the Notebook, under File > Download As 2) Find the notebook  item in your Content > Open the item details page > Click Download button   Q: Can I upload a notebook into ArcGIS Online? Yes, In the Content,  choose Add Item > From your computer.  It will add as a new item.  Be aware that any notebook uploaded will automatically use your default runtime unless you explicitly change it in the Item Details page. Q: Are there some samples Notebooks? Where can I find them? A: Samples are included in ArcGIS Notebooks.  There is a link to the Samples on the top right of your Notebooks in ArcGIS Online.   There are sample notebooks for categories: data science and analysis, content management and ArcGIS Online administration. ArcGIS Notebooks Resources Q: Do you have resources for teaching with ArcGIS Notebooks? A: Yes.  Learn ArcGIS provides a learning path for teaching with ArcGIS Notebooks. You can also refer to this webpage for educators.   Q: Do we have resources for self-learning ArcGIS Notebooks? A: The MOOC, Spatial Data Science: The New Frontier in Analytics uses ArcGIS Notebooks to teach Spatial Data Science. There are also several new Learn lessons under development.   Q: Is there a community where I can post questions or get more information? A: You can join ArcGIS Notebooks community on Esri GeoNet and follow ArcGIS Analysis on Twitter.   Q: Where can I find more product information and resources on ArcGIS Notebooks? A: Visit ArcGIS Notebooks product page.   Q: Who can I contact if I have additional questions about accessing ArcGIS Notebooks in my university? A: You can contact highered@esri.com   Q: How do I submit an enhancement request or report a bug? A:  Bugs should be reported through tech support, enhancement requests can also be submitted through tech support. Additionally, you can use the GeoNet community to share ideas and engage with the broader ArcGIS Notebooks community. ... View more

For those looking for Spatial Deep Learning and GeoAI Resources, the following provides beginner-to-Pro list for different Imagery Deep Learning, GeoAI, ArcGIS Notebooks examples and other resources in the format of quick overview, videos, articles and sample notebooks.    Part 1: Quick overview (8 – 12 minutes): Video: Deep Learning Powered by Raster Analytics (11.5 minutes): https://bit.ly/2WxzYZy Blog Post: Introduction to Deep Learning (6 minutes): https://bit.ly/3cCBrmK Blog Post: Integrating Deep Learning with GIS (8 minutes read): https://bit.ly/3bCz7uRhttps://bit.ly/3bCz7uR Video:  ArcGIS Pro: Machine Learning Classification for Impervious Surfaces - YouTube  Part 2: Deeper Dive (~1 hour): Webinar: Imagery Deep Learning Made Easy: https://bit.ly/3byazDm Tutorial: https://bit.ly/2WVlul8 Part 3: Sample Notebooks: Detecting Swimming Pools using Satellite Imagery and Deep Learning https://bit.ly/3cE96Nc Land Cover Classification using Satellite Imagery and Deep Learning https://bit.ly/2zDVpPy Extracting Building Footprints From Drone Data https://bit.ly/2z2I3wd Detecting settlements using supervised classification and deep learning https://bit.ly/3dRiq02 Part 4: Related Topics: Which is better for deep learning, ArcGIS Pro or ArcGIS Enterprise? https://bit.ly/2Z6Fa8d From Experimentation to Production: Building Enterprise Scalable GeoAI Systems https://bit.ly/2yZPQLlhttps://bit.ly/2yZPQLl Additional  Past GeoAI webinar on-demand recording links: Imagery Deep Learning Made Easy (on-demand) Text Analytics and Location Intelligence (on-demand) AI for Lidar Feature Extraction (on-demand) Making Predictions with ArcGIS  (on-demand) GeoAI with Video and Oriented Imagery   GeoAI Series #2:  The Birth and Evolution of GeoAI - by Esri Canada Join the GeoAI LinkedIn Group, a place for discussions, resources, and news related to artificial intelligence (AI) and location Intelligence: https://bit.ly/2CBe5RB. Contact Canserina Kurnia (ckurnia@esri.com) if you need assistance in integrating GeoAI and Deep Learning in teaching and research. ... View more