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Just uploaded, a video from the 2017 Esri Ocean GIS Forum on the next phase of the Ecological Marine Units project. See a demo by Esri's Sean Breyer about the incorporation of higher-resolution data to create more '"ocalized" EMUs in smaller, regional areas of interest. Also Roger Sayre of the USGS reports on the 2-day scoping meeting that took place prior to the Ocean GIS Forum to initiate the new Ecological Cosatal Units project. Localized Ecological Marine Units + new Ecological Coastal Units - YouTube The specifics on the new workflow will become part of the Ecological Marine Units main web site in January 2018.
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12-20-2017
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Yes, fully resolved, especially via ArcGIS for Maritime: Bathymetry | Overview and ArcGIS for Maritime: Charting | Overview
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12-15-2017
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In addition to supporting the science community, we seek to do good science at Esri ourselves, as it underpins much of what we stand for as an organization. This is helping us to evolve ArcGIS into a comprehensive geospatial platform FOR science; a platform that supports research project management and collaboration, spatial analysis, visualization, open data, and communication of science, and all at multiple scales (i.e., from individual researcher to lab workgroup, to multi-department, multi-university, university-to-agency collaboration, to citizen engagement). This an exciting time at Esri as things are moving so quickly that it is hard to keep up with all the many pathways of our science initiative. For instance, DID YOU KNOW, that you could run ArcGIS for free on a supercomputer? Indeed, if you want run something really big (e.g., vector-based geoanalytics, raster analytics, geoevent processing), there IS now a place where you can do this at no cost, and you can run as many ArcGIS processes as you want for free. The place is XSEDE (eXtreme Science and Engineering Discovery Environment), the NSF-funded collection of research supercomputer centers in the US. Their hardware includes supercomputers running special OS and middleware, as well as large windows clusters for cloud configuration, including JetStream, which has over 15,000 cores and 80Tb of RAM. Esri and XSEDE have recently collaborated to set up ArcGIS Enterprise with big data extensions within a Jupyter sandbox where XSEDE users can easily play and get started. For those wanting to run more specific or larger projects, they will also be able to configure and manage their own cluster. For more information about this opportunity, contact Eric Shook at the University of Minnesota, eshook@umn.edu Professor Shook is GIS domain lead for XSEDE and can help you better understand XSEDE qualification requirements and how to apply for an allocation. See also this Overview of Esri Cloud and Big Data Spatial Analytics Offerings Available to XSEDE. DID YOU KNOW that ArcGIS now supports planetary science? We now provide support the Planetary Data System Version 3 Format and the ISIS Data Cube format. We also support the coordinate systems for all planets, known named satellites, and dwarf planets in our solar system. This includes the Mars 2000 Sphere, which is critical for the Mars Rovers. Both ArcGIS Desktop and Server tier tools work for these other bodies, just as they do for Earth. This March we upgraded our Javascript 3.x API so that the measure widget in the Portal/ArcGIS map viewer respects the correct planetary coordinate system and planetary body size. That team continues to evolve this for the 4.x API for 3D as well. Our Runtime Core Geometry Engines do not support Planetary Coordinate Systems yet, but we are working toward enhancing them in 2018 to do so. In addition, in next week’s Runtime Update 2, the Local Server will be based off of the 10.5.1 code base and support analysis on the Local Server and Map Packages in all Planetary, Satellite, and Dwarf Planet Coordinate Systems. There is now a publicly-shared Planetary Sciences Group with example web maps and story maps within the new Sciences Portal on ArcGIS . See also To Infinity and Beyond: ArcGIS Now Supports Extraterrestrial Mapping. DID YOU KNOW that Esri is getting better all the time at fully supporting data in 3D, including LiDAR data? This includes our improved support for vertical aerial LiDAR curtain data in KML. We are also working toward supporting multidimensional data in vertical curtain form, aka L2 or 3d fence or Swath. See our 3D fences tool in action in this video and this story map, with a full write up and examples in this ArcUser article, and with code that is also available on ArcGIS Code Sharing. In fact, DID YOU KNOW that there IS such a site as ArcGIS Code Sharing now?! DID YOU KNOW that Esri has a new initiative in Artificial Intelligence and Machine Learning? We now have "GeoAI" resources and demos on GitHub, and a recent blog post on possible machine learning implementations in ArcGIS. See also The Science of Where Seagrasses Grow: ArcGIS and Machine Learning. DID YOU KNOW about Esri's new partnership with Microsoft in the realm of Artificial Intelligence and about the Esri technology now within Microsoft's Data Science Virtual Machine (i.e., ArcGIS Pro and the R-ArcGIS Bridge)? DID YOU KNOW that you can apply for cloud computing grants under this initiative? The next deadline is fast approaching at 15 December, but will be additional grant cycles in 2018. This is part of Microsoft's exciting new AI for Earth Initiative which may become "a game-changer for our planet." DID YOU ALSO KNOW about the Research AI for Earth European Union Oceans Award? Submit by 15 February 2018. DID YOU KNOW about the Image Analyst Extension for ArcGIS Pro 2.1 Beta1 Release? The Image Analyst Extension is now available in ArcGIS Pro 2.1 Beta1. This is a controlled Beta which is not part of the ArcGIS Pro 2.1 Early Adopter Program. However, it can be accessed through a separate Early Adopter Program focused on the Image Analyst extension. Try it out, review the resources and provide feedback for the functional areas of interest to you within the extension, including stereo and image space visualization, mensuration, feature extraction/interpretation and image classification. Please direct any questions or concerns to Vinay Viswambharan vinayv@esri.com. DID YOU KNOW about these imagery resources? Imagery Workflows - Best practices for managing, analyzing, and using imagery Python raster functions on GitHub Web AppBuilder Developer Addition, WABIS for imagery Table of Remote Sensing Sensors DID YOU FURTHER KNOW that: the ArcGIS API for Python is easy to learn and extremely useful for scientists, including data scientists? One of the features that makes this API so powerful is its integration with the Jupyter Notebook. our Hydrology Toolset in ArcGIS Pro has been parallelized in Raster Analytics at ArcGIS 10.6? the R-ArcGIS Bridge now has raster support in beta? Esri released our first beta Docker containerization support with this summer’s 10.5.1 release of ArcGIS Enterprise and that we’re continuing to look at containers moving forward? See CloudFormation templates to deploy ArcGIS Enterprise on Amazon Web Services and/or AWS CloudFormation and ArcGIS—ArcGIS Enterprise on AWS | ArcGIS Enterprise. Esri recently added support for the SMAP (10.5.0), GPM (10.5.1), GOES-R (10.6, both ABI and GLM sensors, and ASTER L1T (10.6) platforms over the last year in an effort to better support our remote sensing users? Here are some instructions from the National Snow and Ice Data Center on working with SMAP data in ArcGIS. the Esri LandSat Explorer app’s code was open-sourced this week? This is one of our many #imagery items on that GitHub site for code sharing. Esri has detailed our philosophy of and commitment to "Open" at our Esri’s Open Vision site? Many are familiar with the closed, limited-interoperability ESRI products of the past, but we are ever moving forward. DID YOU KNOW that as a company, we are currently leveraging and contributing to over 200 open-source projects, while delivering over 350 open-source projects of our own? Esri software provides direct read, import, and export for over 300 formats, including over 200 image formats and sensors. Esri supports over 100 geospatial standards (including those from ISO TC 211 and OGC), and provides open access to scores of APIs and SDKs. IT'S GOOD TO BE IN-THE-KNOW! Thanks to Tripp Corbett, Steve Kopp, and Peter Eredics for providing much of the information for this post.
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12-13-2017
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My thanks to EVERYONE! What a great hour! Have a terrific weekend! And for those going to the humongous American Geophysical Union (AGU) Fall Meeting next week, we'll see you there! Check out Esri's presence at AGU --> https://community.esri.com/groups/sciences/blog/2017/12/04/esri-and-the-2017-american-geophysical-union-fall-meeting
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12-08-2017
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My pleasure Denise, and thanks to EVERYONE for your questions.
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12-08-2017
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LiDAR as we know is great for land data but in the oceans the equivalent of LiDAR is the multi beam bathymetry (acoustic returns) and also the xyz data that we get from instruments such as Argo (Argo - part of the integrated global observation strategy ). A good portion of the World Ocean Atlas data that we used for the EMUs is comprised of Argo float observations over a 50-year period.
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12-08-2017
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Another great question! Thanks Joe! We are actually building a rough equivalent to the voxel framework within the Ecological Marine Units project (http://www.esri.com/ecological-marine-units). In a nutshell our approach has been to: Build 3-D framework (point mesh), where we extracted the World Ocean Atlas (WOA) data into a global point mesh framework created from 52,487,233 points, each with at least 6 WOA attributes Attribute mesh points with 6 WOA physical/chemical parameters, in addition to the x, y, and z coordinates (more attributes possible) Use k-means statistical clustering algorithm to identify physically distinct, relatively homogenous, volumetric regions in the water column (EMUs). Backwards stepwise discriminant analysis to determine if all of six variables contributed significantly to the clustering – all six were significant. pseudo F-statistic gave us the optimum # of clusters at 37. Then used canonical discriminant analysis to verify that all 37 clusters were significantly different from one another and they were. Compare/combine surface-occurring EMUs with other sea surface partitioning efforts using ocean color, etc. (e.g., Longhurst, Oliver and Andrew, MBON, Seascapes, etc.) Compare/combine bottom-occurring EMUs with seafloor physiographic regions and features, etc. (e.g., Harris et al.) Assess relationship between physically distinct regions and biotic distributions (e.g., OBIS Biogeographic Realms, etc.), and maybe combine to incorporate biotic dimension into the EMUs This is best viewed and added to in ArcGIS Pro where you can access the 3D point mesh and visualize the volumes created from it (e.g., see the visualizations on the main EMU web site or in this story map: http://esriurl.com/emustory )
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12-08-2017
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Hi Feng - This is an excellent question, that I would be happy to dig into with you more thoroughly offline but in the few minutes left, I would like to point you to our Imagery Workflow page for some resources that may help, ArcGIS Imagery Workflows | ArcGIS , and this NEMAC story map might be helpful as well, giving you further ideas http://nemac.maps.arcgis.com/apps/MapJournal/index.html?appid=c66ae89e8aee46acba63c869a0889317 One last thing: the Climate Resilience Toolkit at U.S. Climate Resilience Toolkit | U.S. Climate Resilience Toolkit and the NOAA Digital Coast: Digital Coast Home
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12-08-2017
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Thanks for asking that Mike and GREAT to have you join us! Yes, it's really an important and precious part of my experience at Esri to still be a faculty member at Oregon State University, where I have still been involved in advising students (a PhD student finished last year) and working with those faculty. My role at Esri also has me greatly involved with other universities, either on projects that we are doing together jointly (e.g., see Esri and the Scientific Community | Esri Insider ) or with activities such as serving on the University of Minnesota Institute on the Environment Advisory Board. So with those kinds of activities, you feel as though you are part of that campus community too. I love it!
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12-08-2017
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Day to day I'm on email and GeoNet! But more seriously, the exciting thing about my job at Esri is that it is all about engaging and communicating. For instance, we have a new product manager for 3D mapping and analysis and we got together so that I could share with him the many projects going on under our science initiative and how best to connect him with my network of scientists using our software so that he can develop better use cases which will ultimately lead to improvements in our 3D products to serve scientists. In this meeting we were joined by Jack Dangermond (neat serendipity as he saw us and just sat down) who gave us both an overview of the history of how the company had approached 3D problems in the past, the data structures that had evolved, where we would like to go now given the various needs out there of our users and the disruptive technologies such as drones (in the air AND in the sea) that are game changers, etc. Later I ran into some colleagues who wanted to me show me some neat applications that they were developing for virtual reality mapping experiences (including a spin wearing an Oculus Rift virtual reality headset, and then discussing one of our new collaborations with the Southern California Coastal Water Research Project where we might develop a neat prototype with their estuary data. Another colleague wanted some advice as to where to publish an article based on some new spatial statistical approaches that his group had developed for interpolating data collected by a variety of mobile devices in the field. Of course, I SO spend large portions of every day doing email too! I was attending a panel discussion at a conference and as the distinguished panelists introduced themselves (“I’m XX and I’m a marine ecologist,” "I'm YY and I specialize in marine spatial planning," etc., etc.), this one panelist said, “My name is XX and I do email!”
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12-08-2017
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GREAT link! Thanks Joe! And I want to salute Joe here in this forum as the creator of the "Deepsea Dawn" lego minifig and Lego marine GIS lab. See this at the top of my Twitter feed: http://twitter.com/deepseadawn
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12-08-2017
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Hi Wetherbee! Great question as it speaks to how so many in our community may be feeling. These are interesting times. I think the best thing that business partners and non profits can do is to stay the course with the great work that you are already doing. Despite an onslaught that we may feel at the federal level, there is so much excellent work that is being done at the federal level (e.g., by NOAA, NASA, USGS and others who work with the business partner and non profit communities), but ALSO at the state and local level. For instance, it is heartening to see the cities and states that are moving forward with Paris Climate Agreement goals, principles, and milestones, making that commitment regardless.
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12-08-2017
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Yes, great point Megan! A lot of the tips mentioned can apply to people of all ages. The Esri YPN is for people of all ages too. "Young Professional" can mean that you are "young" within the geospatial profession (maybe as a second or third career) but mature in age!
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12-08-2017
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Another great question! Thanks Denise! This is another topic that could/should be an AMA in and of itself, but quickly I would say for young women to: - be confident in what they are doing and to KNOW that they are on the path to success in geospatial because it is such a hot field - join advocacy groups such as the Esri Young Professionals Network, Young Professionals Network (YPN) | Esri GIS Community where there are so many great resources and meetups - try your best to find not only a great mentor but an ADVOCATE. I can explain more in subsequent posts - try your best to find travel resources to get to conferences such as the UC but also local GIS user group meetings, smaller geospatial tech or science conferences, and the like - get up the courage to PRESENT your own work at these conferences, which are also great places to get affirmation and good tips for improving your work - start a resume or CV NOW at this point in your career - get your own web presence (web site, blog) and business card much more but will stop now due to time
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