A hugely productive summer for USF’s Geospatial Analysis Lab (GsAL) began with one of our graduate research assistants, Radhika Bhargava, attending the 2017 Information and Communications Technologies for Development conference in India, in May. The focus of the conference was improving the use of data and technology to help the drive toward development in less developed countries and meet the UN’s sustainable development goals and was well attended by representatives from around the world.
Radhika’s key assignment for the week was to collaborate with Google to deliver training in the use of Google Earth Engine (GEE) at Google Hyderabad to around 60 participants from technical and non-technical backgrounds. This kind of training and collaboration is greatly valued by participants as it allows for groups working within and across nations to connect with each other, share ideas and improve common understanding of the contexts surrounding local, national and global development issues. GEE combines colossal geospatial data-sets and petabytes of satellite imagery with formidable planetary-scale analytical capabilities to provide researchers with the ability to identify, quantify and study the effects of changes to the Earth’s surface – and by harnessing the power of their Cloud technology, this is all possible on a standard home computer. The sense of purpose, learning and new ideas for applications at the conference were all outstanding, and extremely encouraging for the future of progress towards meeting the UN sustainability goals.
Summer Internship on Coastal Management
In July our graduate research assistant at GsAL, Radhika Bhargava, worked with the Suganthi Devadason Marine Research Institute (SDMRI) in Tuticorin, in the state of Tamil Nadu in India. After convincing the director of SDMRI, Dr J. K. Patterson Edward, to offer her a short research placement there, she spent two weeks learning about the issue of bycatch in the Gulf of Mannar, by Tuticorin’s coastal village fishing industry. Bycatch is the unavoidable process of catching fish or other marine life that are not of target species, age, sex or weight. In the case of Tuticorin, a key concern is the bycatch of soft and hard coral species, and sponges, which could easily be seen in the early morning in the fishermen’s nets. The fishermen assert that they do not target coral-rich areas as coral can destroy fishing nets, but there is approximately 10 kilograms of benthic substrate – essentially, the material that makes up the floor of a given body of water, in this case coral – being pulled up per boat, per day. The types of nets are consistent among the villages and each village operates from 100-300 boats, so it is clear that there is a need for the excellent work that SDMRI and other environmental research organizations are doing to learn about the effects of destructive fishing practices and work with communities towards more sustainable economic activity.
On Monday April 24th, 2017 the Graduate Student Senate (GSS) at USF hosted Graduate Student Academic Showcase to highlight graduate students’ research and other work. This is a unique graduate student event that aims to highlight and showcase the diverse array of academic and scholarly works for graduate students from all of the academic schools and colleges at USF.
During this event, GsAL research assistant, Radhika Bhargava, received the Excellence in Academic Research award for her involvement in a project designed to build the capacity to monitor land use and land cover changes in the Lower Mekong region. The project is based on a geospatial needs assessment conducted by SERVIR-Mekong in 2015 for the Lower Mekong countries which included individual country consultations. The assessment revealed that many countries were dependent on land cover and land use maps for land resource planning, quantifying ecosystem services including resilience to climate change, biodiversity conservation, and other critical social issues. Many of the Lower Mekong countries have developed national-scale land cover maps derived in part from remote sensing products and geospatial technologies. However, updates are infrequent and classification systems and accuracy assessment do not always meet the needs of key user groups. In addition, data products stop at political boundaries and are often not accessible. Many of the Lower Mekong countries rely on global land cover products to fill the gaps of their national efforts, compromising consistency between data and policies. These gaps in national efforts can be filled by a flexible regional land cover monitoring system that is co-developed by regional partners with the specific intention of meeting national trans-boundary needs, for example including consistent forest definitions in trans-boundary watersheds. During this assessment, regional stakeholders identified a need for a land cover monitoring system that will produce frequent, high quality land cover maps using a consistent regional classification scheme that is compatible with national requirements.
This system is dependent on a sustainable source of field data that insures data quality and improves potential impact. Based on this need, collaborative workshops were held to create a robust regional reference data system that integrates results from field data, national inventories and high resolution imagery to meet the end user needs. The results presented here highlight the value of collaboratively developed systems that use data convergence to improve land cover mapping results for multiple end users.
By Jacquie Moss – MSEM Candidate at the University of San Francisco
I attended the Esri User Conference in San Diego from June 27-July 1, 2016 as a representative of the University of San Francisco. I also attended the Esri Imaging and Mapping Forum the weekend prior (June 25-26).
I was unprepared for the scale of this conference. Every minute of the conference offered a dozen or more options for participating. There were an estimated 16,000 people from a wide range of industries — government, architecture, real estate, conservation, agriculture, technology, criminal justice, defense/intelligence, health and human services, transportation, telecommunications, public utilities, and more.
Over this week of hands-on learning, technical workshops, real-world examples, and product demonstrations, I noticed a handful of pervasive topics:
UAVs (unmanned aerial vehicles), e.g. drones
Real-time data + IoT (Internet of Things)
This summary is written for the benefit of my colleagues in the MSEM program at USF, especially those seeking GIS certification.
UAVs (unmanned aerial vehicles ), e.g. drones
The Imaging & Mapping Forum could have more appropriately been called the “Drone Forum.” Most sessions covered some form of aerial capture — mostly lidar or drones (and sonar used for deep waters). Featured wasDrone2Map, a software tool created by Esri to make it simpler to create maps and perform analysis in ArcGIS from drone-captured still imagery.
Point cloud data that is captured by aerial vehicles provides new possibilities for 3D analysis and imagery. Real-world examples included forest management, monitoring coastal erosion, vegetation management, and monitoring species habitat.
One interesting tidbit is that Alaska was captured using airborne IFSAR, rather than lidar for a few reasons. Given that Alaska spans more than 1.7 KM2, it was going to be too costly to use lidar. Also, cloud coverage is a big issue with capture in Alaska and IFSAR works better in this situation.
Drones were discussed as a disruption to GIS — exposing more people to geospatial data. To clarify, the real disruption is the data (people don’t even know that they need GIS… they just want to fiddle with drones). Kass Green (“remote sensing rock star”) espoused, “out of chaos comes opportunity.”
With the improved supply of high resolution optical imagery from drones and satellites, 3D imagery is expected to become much more ubiquitous. ArcGIS has native lidar support and integrated 3D display and analysis, which makes it easier than ever to import and manipulate 3D assets.
Of particular interest is a massive project led by USGS. “The National Map” — 3D Elevation Program (3DEP) — is collecting point cloud data for all of the nation’s natural and constructed features. Combined with NOAA’s coastal mapping project, much of the nation has been captured. Coastal mapping project is freely available online.
The significance of 3D is beyond the cool factor. Certainly, it opens the door for more intriguing and accurate representations of a scene, including VR (virtual reality). More importantly, 3D creates opportunity for deeper analysis. With the inclusion of elevation data, other factors become relevant, such as: depth, volume, massing, slope, sun exposure, etc… One example that was shared was that of using 3D analysis to investigate the effects of sea-level rise on a built environment to the scale of which floors in which buildings will be affected.
Certainly there was talk about big data (volume, variety, velocity). But the buzz was about real-time data. Technological advances have made it possible to collect data from numerous sources at instantaneous rates. This persistent surveillance system is made possible by the Internet of Things (IoT), comprised of:
Smart sensors on electric meters, weather, streams, natural resources, heavy equipment, high-value assets
Imagery from satellites, frame cameras, and drones
Human activity from social media streams, smartphone activity, web logs, and GPS telemetry
Analysts who are interested in being most agile with this extremely valuable data need skill with Python. It is the glue language of data analysis. One expert recommends the following tools:
Pandas: Python library for data manipulation and data analysis
Geopandas: Power of Pandas applied to spatial data
Esri now offers web-based tools that allow users to create an interactive experience that combines text, video, live maps, imagery, and 3D scenes. This set of tools are called Story Maps, and they can be authored in several different formats — as stand-alone website, embedded within an existing website, or as an app. The layout templates are elegant and designed to make content shine. Super easy to use, Story Maps are being used by map makers to prototype, collaborate, and communicate with audiences.
Features of Story Maps that I found most compelling:
Web maps used in Esri Story Maps and the data they present are hosted in the ArcGIS Online cloud
Responsive design (works across devices, i.e. desktop, tablet, and smartphone)
Tools are all web-based and do not require user to download any software; access using ArcGIS online credentials
There are different types of story maps that users can create. With each the layout and set of features vary. The types are: Journal, Tour, Series, Swipe and Spyglass. In addition, Esri has a couple of new types in beta: Cascade and Crowdsource.
If someone didn’t want to use one of the templates, Story Maps can also be created from scratch using the developer APIs and tools
And ultimately, the star of the week was the fully redesigned product by Esri, ArcGIS Pro. ArcGIS Pro combines Esri’s suite of tools into one integrated product, and it is the future of the company. The interface is a big improvement over ArcMap, and it’s highly customizable to the project and set of tasks that the user is performing. ArcGIS Pro is a fully 64-bit, multithreaded application that runs on Windows — that means it’s faster and can perform more than one task at a time.
Below is an overview of just some of the features of ArcPro.
Create and publish both 2D and 3D maps.
Share what you create in ArcGIS Pro with others using ArcGIS Online or Portal for ArcGIS.
Application knows when you’re in edit mode and gives you real-time feedback as you make edits (eliminated the need to start and stop edits).
It has a whole new drawing engine that includes true transparency and anti-aliasing. As a designer, I am very excited about this improvement.
It supports many layouts, rather than having to create a new file for each layout.
In addition to these five themes that I noticed at the conference, I also want to share three of my favorite slices of the conference.
U.S. Climate Resilience Toolkit
Developed by the National Oceanic and Atmospheric Administration (NOAA) and other Federal agencies, theClimate Resilience Toolkit is designed to enable municipalities to evaluate their vulnerabilities and inform action planning. It provides county-scale climate projections, aggregates state and municipal climate-vulnerability assessments, and allows users to visualize different variables from past to future.
It is useful to reference the climate change indicators that the U.S. Global Change Research Program has developed. Described as a preliminary set, the indicators include Greenhouse Gas Index, Arctic Sea Ice Extent, Forest Cover, Ocean Chlorophyll Concentrations, and Vibrio Infections.
Living Atlas of the World
The Living Atlas of the World is Esri’s endeavor to bring content together to make the GIS of the world. GIS specialists can submit their maps, apps, scenes, story maps, and even data to be included. This community also provides a place to retrieve helpful basemaps, historical maps, data layers, tools, services for your own work.
Alexander von Humboldt
And now, the most enjoyable for last… in her Keynote, Andrea Wulf shared glorious maps and engaging stories about German naturalist, explorer, and cartographer Alexander von Humboldt (1769-1859). Wulf has just written a non-fiction book about his accomplishments, called “The Invention of Nature.” In his time, Humboldt inspired Charles Darwin and Thomas Jefferson, among others.
In addition, he produced some of the most complex, detailed, and gorgeous information graphics and maps that I have ever seen, such as the one below. If you have 45-minutes to watch this highly entertaining and informative video, Esri has made Wulf’s keynote publicly available.