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Geospatial podcast episode introducing Geoserver - tutorial

Geoserver

by Daniel ODonohue 14 min read

It’s an open source product developed in Java, using enterprise Java architecture, that allows you to take your geospatial data (shapefiles, special DBMS like post GIS) and publish it to the web. You get good-looking maps or other types of services where you can directly access your data.
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Urban Estimation, Earth Observation and Deep Learning

Urban Estimation, Earth Observation and Deep Learning

by Daniel ODonohue 13 min read

Interferometrics, or InSAR, is taking stacks of radar data and looking at it over a certain timescale and seeing how the slight changes in elevation occur. It’s used for subsidence analysis and for understanding when there’s a risk — karstification or possible landslide. It’s looking at where there are minor changes in the movement of the Earth’s surface.
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Being A Graduate Geospatial Consultant

Being A Graduate Geospatial Consultant

by Daniel ODonohue 11 min read

Some people might say that GIS is not a profession. I’d sayit’s like a toolkit; we use and apply it to different industries — a geographer might use it to do a map or analysis, for example. Once you have a toolkit and the skills, you candevelop them to be adaptable.The opportunities in the future are endless. You can do anything you wanted to.
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An Introduction To Artificial Intelligence for GIS and Geospatial people

An Introduction To Artificial Intelligence

by Daniel ODonohue 17 min read

If you think AI solves every problem, then you’re overestimating its utility and where we’re at. However, on the other side, if you’re a business of any size, operating at least some type of technology, and you think AI can solve none of your problems — you’re also mistaken.

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Being Visible In The Geospatial Community

Being Visible In The Geospatial Community

by Daniel ODonohue 9 min read

 The first couple of criticisms I received were hard to take and difficult to comprehend. Especially when they were not a critique of a particular fact, but more on personal opinions, such as “I don’t believe in the future you envision,” or “It’s not as rosy or complicated as you envision it.” When you hear such thoughts as an early-stage professional, you can’t help but feel imposter syndrome. You wonder if you’re out of your league? Are you talking about things you should not be talking about?

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GDAL - Geospatial Data Abstraction Library. GIS / Geospatial podcast and blog

Geospatial Data Abstraction Library - GDAL

by Daniel ODonohue 18 min read

GDAL stands forGeospatial Data Abstraction LibraryYou will find people pronouncing it variably asgee-dal, orgoo-dle. I come back to goo-dle frequently because it trips off the tongue a little more easily than gee-dal.Goo-dle was the original pronunciation. The founder of the GDAL project pronounced it goo-dle for many years. When he stopped being the maintainer of the project, he took a job with Google and found it difficult to say he worked at Google and was the founder of the GDAL project. 

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Counting Animals Using Satellite Imagery

Counting Animals Using Satellite Imagery

by Daniel ODonohue 15 min read

Commercial imagery resolution is down to 30 centimeters.With modern interpolation techniques, you can produce images with a 15-centimeter resolution equivalent. You canidentify features in pastures that otherwise would not have been visible. Counting livestock is important on several levels — for animal disease control and for inventory.

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Access to spatial data, geospatial podcast for spatial people

Access to spatial data - making room for unexpected contributors

by Daniel ODonohue 18 min read

Are we making data available to those unexpected contributors? And are we making it available at a resolution sharp enough or high enough for the Dr. John Snows to have found that well?
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Geospatial innovation

Geospatial Innovation - what it might look like

by Daniel ODonohue 12 min read

The applications of the satellite systems are endless and we separate them into different market segments. For example,agriculture,location-based services (mainly phones),transport usages (navigation on roads, rail or maritime), andaviation (landing procedures heavily rely on EGNOS).Thegeomatics market is important; it’s a segment that’s usually the first adopter because they need the highest precision locationing.

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Super Resolution - smarter upsampling

Super Resolution - smarter upsampling

by Daniel ODonohue 13 min read

Super-resolution originates from the computer vision domain.The quality of an image is defined by its resolution. Super-resolution gives you a better image by applying an algorithm — to get a higher resolved image. It’s like upsampling, just smarter.

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OpenStreetMap GIS geospatial mapping communities

OpenStreetMap is a community of communities

by Daniel ODonohue 11 min read

OpenStreetMap is so much more than a map and a database — it’s a global community of mappers. A while ago, OSM passed a significant milestone — the 100 millionth changeset was uploaded to it.This milestone represents a collective contribution of nearly 1 billion features globally in the past 16 plus years by a diverse community of over 1.5 million mappers.
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Open geospatial standards, open GIS data formats

Open Geospatial Standards

by Daniel ODonohue 11 min read

Geospatial standards, like any standard, are what we agree on as a community. It’s a way to describe how we model geospatial data, exchange it, subset it, process it, visualize it, or reference it. We need standards because we share and integrate data, and we solve complex problems.

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Google earth engine, an introduction for earth observation scientists, remote sensing and geospatial people

Introducing Google Earth Engine

by Daniel ODonohue 15 min read

Google Earth Engine is acloud computing platform for scientificanalysis andvisualization of geospatial data sets. It isfree to use for research, education, and nonprofit. Google Earth Engine is essentially streaming data. You don’t need to go online to download the data — you just need a browser, and you can access the entire Google Earth Engine data catalog and a bunch of tools to do the analysis and visualization.

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Geospatial career path, job path in GIS and Geo

Getting Where You Want To Go In Your Geospatial Career

by Daniel ODonohue 12 min read

Coaches ask questions framed to help you clarify your own mind and come up with your own solutions and ideas. It’s powerful because, as the studies show, if you help anyone generate their own ideas and solutions, they’re more likely to implement them and succeed at them.

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Scanning The Earth's Surface Before Its Too late

Scanning The Earth's Surface Before Its Too late

by Daniel ODonohue 12 min read

One of those light bulbs appeared over the top of my head. This is like a microcosm of what’s happening globally with the climate crisis and dramatic earth system changes. We have a limited time to record the Earth as it exists now for future generations. I realized we could use LIDAR to create a permanent digital record of what the Earth’s land surface looks like today to preserve it for future generations.

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Introduction to Synthetic-aperture Radar (SAR) earth observation and remote sensing

Introduction to Synthetic-aperture Radar SAR

by Daniel ODonohue 18 min read

 

Instead of one long antenna that sends one big pulse at one time and then collects the pulses that come back, SAR have a much smaller antenna that sends lots of pulses in quick succession over time as the satellite goes through space.It “listens” to the pulses that come back to it when it moves through its orbit.That’s why the name synthetic is applied to the radar.

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From GIS Analyst to Software Engineer, programming for GIS analysts

From GIS Analyst to Software Engineer

by Daniel ODonohue 17 min read

I liked the geospatial component of things. I enjoyed solving a problem and then seeing the result. It wasn’t just a Microsoft Excel model or some database table. It was something I could visualize in GIS software. If there had been a path to becoming a more in-depth GIS analyst at this company, I might have stayed on it.

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4d voxel model of the world, building a digital twin of the planet

Building a 4D Digital Twin of the Planet

by Daniel ODonohue 14 min read

What is a voxel?. It’s a 3D volumetric pixel, a cubeBut voxels are nothing new. They’ve been used extensively in two key areas within computing. Computer games render worlds and use voxels instead of polygons. Minecraft is a good example — it’s a voxel rendered world. Gaming companies love voxels for their multi-resolution capability over polygons. Robotics uses voxels for image processing to reduce the size of LIDAR point clouds and to create small dynamic maps — or what we call VOG (Voxel Occupancy Grid) — for robots.

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GIS Skills, leadership and mentorship in the geospatial community

GIS Skills Leadership Mentorship and the Geospatial Community

by Daniel ODonohue 15 min read

Geospatial experts need to have a wide variety of skills. They have to link up with other systems and understand those other systems, like Tableau. It’s not enough to know your desktop or application. How will they interface with the other systems and integrate into the greater enterprise system?

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Navigating The Past, Present And Future Of GNSS

Navigating The Past, Present And Future Of GNSS

by Daniel ODonohue 11 min read

Satellites are getting better, and the number of constellations is increasing. Still, many people are not using GNSS terminology — they call it GPS, which is the American GNSS.There is Galileo (European), GLONASS (Russian), or BeiDou (Chinese). Back in 2000, there were 40 GNSS satellites. Fast forward to 2021, and we now have over 100.

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Mapping the ocean floor, seabed 2030

Mapping The Ocean Floor

by Daniel ODonohue 16 min read

Most of the data seafloor bathymetry data — it’s from inversion from gravity. They measure gravity, rather ingeniously, using satellite altimetry and looking at the slope of the sea water’s surface. Imagine a flat chunk of ocean with a perfectly flat sea bottom. If you stick a sea mountain on the bottom, gravity pulls the water a little closer to it, and there’ll be a little hill of water sitting over that sea mountain.

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Being A Professional Geographer

Being A Professional Geographer

by Daniel ODonohue 14 min read

There is a distinction in GIS between the people who use the tools with their knowledge and the people who develop those tools with a view on how the client will use them. I started out developing GIS products and environments for people and professionals to use.  Then, I became more interested inwhy they used that data andhow they were using my tools in those ways.

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geospatial augmented reality

geospatial augmented reality

by Daniel ODonohue 15 min read

Figuring out the viewpoint of the camera is a big part of augmenting reality. The camera has six degrees of freedom.The first three are straightforward — xyz coordinates. Or latitude, longitude, and elevation. Those give you a point in space.For a camera we also need to define the Euler angles — the yaw, the pitch, and the roll — especially if we care about what the camera is pointed at.This is the full six degrees of freedom state, also referred to as the pose.

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Satellite-based Augmentation System, GPS base station in the sky

Satellite-based Augmentation System - A base station in the sky

by Daniel ODonohue 14 min read

SBAS stands for Satellite-Based Augmentation System to standard GPS or GNSS signals. It’s a service that improves the quality of positioning from GPS — from multiple meters down to sub-meter level.SBAS uses similar technologies to other high-precision correction services people might be familiar with. It leverages an entire network of continuously operating reference stations around the ground area.

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Openlayers - Geospatial JavaScript

Openlayers - Geospatial JavaScript

by Daniel ODonohue 9 min read

OpenLayers is a fully grown-up programming language. It runs both in the client and on the server, such as when you visit modern websites where you can edit documents or spreadsheets.
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Why start a geospatial podcast?

Why start a geospatial podcast?

by Daniel ODonohue 9 min read

I got introduced to GIS and Earth observation (or remote sensing), which honestly, I hated. I took a few classes but couldn’t warm to it. Still, I had to pass the semester. As I was preparing for the exams, going through my notes, reading the required reading—slowly but surely, the usefulness of it all dawned on me
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GRASS GIS probably doesn’t get the attention it deserves

GRASS GIS probably doesn’t get the attention it deserves

by Daniel ODonohue 10 min read

GRASS isnot limited to academia. It’s for anyone who needs simple to complex geospatial processing in whatever format or data model—raster, vector, 2D, 3D, and time series.  Awide variety of businesses are using GRASS for data extraction, and provision of conclusions or analysis on top of extensive data.
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Machine learning and object detection for the rest of us

Machine learning and object detection for the rest of us

by Daniel ODonohue 9 min read

You train a detector by teaching the machine learning model what you’re looking for by giving it examples. You give examples and see how it does. If it doesn’t do well, you give it more examples. You iterate until you get good enough results.
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Raster Frames, spatial imagery in apache spark

Raster Frames - Making imagery a first class citizen of apache spark

by Daniel ODonohue 12 min read

Commercial satellite providers produce somewhere between 100 and 200 terabytes of imagery a day ̶ a monstrous amount of information. Sentinel 2 has five years of daily refresh data. We have 40+ years of Landsat data. It’s a massive amount, particularly in the temporal dimension, where you can do longitudinal studies. Apache Spark and Raster Frames might just be the tools we need to handle this much data.

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GIS education and training

GIS education and training, online and in-person

by Daniel ODonohue 11 min read

With the open data movement, there’s an ubiquity of data. We can let students pick their own data on topics that interest them. They find their own data for a geographic area they’re interested in, perhaps where they live or where they’d love to travel. They make connections to their own interests and lives. The more they’ll see the relevance of what they’re learning, the more they’re motivated.

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cloud detection

cloud detection

by Daniel ODonohue 9 min read

The biggest value you get from satellite images is that you can see what’s on the ground. If there is too much water vapor in front of the satellite imaging sensors, it obscures the Earth’s surface, and you might lose all value of the platform.
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Open source GIS business, QGIS geospatial software

Business Built On Open Source GIS

by Daniel ODonohue 10 min read

WHAT IS OPEN SOURCE SOFTWARE? It’s software thatshares the actual instruction code, and the binary you run on your computer. There are different versions and variants of how that sharing happens. Essentially, you get access to the underlying recipe of the software. You can modify it and adapt it for your needs. This episode is all about building a business based on open source GIS software.

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location Privacy and Data Ethics

location Privacy and Data Ethics

by Daniel ODonohue 8 min read

On one side, we have the promise of personalization of being seen and understood, provided we share our data about how we interact with the world. That data can be used to make things better. On the other side, we risk being exposed or being manipulated and treated like a product instead of the customer. In terms of data privacy, location plays a massive role. We, the geospatial community, play a role in this conversation.

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Communicating with maps - The art of cartography

Communicating with maps - The art of cartography

by Daniel ODonohue 9 min read

Artists, mathematicians, and scientists think about their work as a structure that already exists. Their job is to chip away at the detritus. They clear the noise and the content that distracts. They dig up the bones of a fossil and work on revealing a structure that’s already there.

Take Michelangelo, who, by his own admission, was onlyfreeing David from the surrounding marble.

Mapmakers let the geographic content ̶ the data and the layers ̶ communicate.

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Self Employed In The Earth Observation Sector

Self Employed In The Earth Observation Sector

by Daniel ODonohue 15 min read

If you're going freelance or self-employed in the earth observation sector, then youneed to have confidence in yourself and your ability to deal with the things that might get thrown at you. Its also important to remember that your confidence will increase with time.
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Spatial SQL - GIS without the GIS

Spatial SQL - GIS without the GIS

by Daniel ODonohue 15 min read

What is SQL? - It's a structured query language. Putting it into terms of the history of languages, it's a language to query language. It's what computer scientists call a fourth-generation language.
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Elastic Search

Elastic Search

by Daniel ODonohue 9 min read

What Elasticsearch can do for geospatial users, How it’s different from Postgres? Who should use it? Why it’s a special subset of NoSQL databases? All these answers and more i this episode of the MapScaping Podcast!

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Self-employment in the GIS Geospatial industry

Self-employment in the GIS Geospatial industry

by Daniel ODonohue 12 min read

My passion is conservation. I was an archaeologist for eight years before I got into my second career, GIS. I would be out on sites surveying for archeology and come across mass developments where they'd bulldoze everything in the way of a pipeline. It was crushing me.
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Spatial thinking and geospatial technologies

The long tail of geospatial

by Daniel ODonohue 15 min read

It's not really about the technologies we use, its about understanding the principles behind the technologies, and where and when to apply them. Spatial thinking is the key skill, we don't need to master every new GIS tools, just knowing that they exist might be enough.
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GIS spatial research into the covid-19 virus, a geospatial tracking case growth over time and space

COVID-19 Spatial Research

by Daniel ODonohue 15 min read

For most people, when they think aboutthe relationship between GIS and COVID-19, the obvious solution is tracking data. At the highest level, if there is any spatial relationship between where we are in our societies, where we go, who we interact with, and spread the disease, our measurements, thenour policy tools must also have a geospatial component to capture that effect.It's not a question of whether spatial data and spatial analysis matter for COVID-19. The problem is understanding what tools exactly can be used for specific insights and decisions.

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Spatial GPU processing podcast for the GIS community

Open Source Spatial GPU Processing

by Daniel ODonohue 20 min read

GPUs have orders of magnitude more processors. However, they're not as general-purpose as CPUs. They do discrete bits of work that are more or less the same weight. If you can figure out how to subdivide a problem into 20,000 pieces of equal weight, they will do it in less than a snap of a finger.
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GIS podcast about the Uber's H3 geospatial grid system

H3 geospatial indexing system

by Daniel ODonohue 11 min read

It's a discrete system, breaking up the world into discrete cells. Every position in the world has a cell identifier associated with it. It's global. In H3, we subdivide each cell into seven smaller cells. If you try to draw that out, you’ll realize it doesn't fit right. We had to make some compromises ...
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Big Query GIS geospatial functionality for data warehousing

Google BigQuery GIS - Geospatial in the Cloud

by Daniel ODonohue 11 min read

Google Cloud’s enterprise data warehouse.  It’s an immensely scalable and quick data storage and processing product that got a geospatial facelift a couple of years ago.  Users interact with BigQuery with standard SQL verbs. It feels like a relational database except you can have relations and tables that are petabytes big ̶ but to the user, it’s still just a simple case of typing in SQL.
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A One to One Map Of The World

A One to One Map Of The World

by Daniel ODonohue 9 min read

We now live in an age where almost everything is customizable and can be adapted to our individuality. In previous eras, maps were physical documents. If you went hiking and you took a one-to-one map with you, where would you even put it?  It wouldn't be helpful. In the digital realm, we capture the information from smartphones, from IoT devices, intelligent cars driving around, satellites, and building sensors.  We put these into place and have a perfectly clear picture of the world in its digital format—this is your digital one-to-one map.

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The Spatial Internet of Things

The Spatial Internet of Things

by Daniel ODonohue 7 min read

The spatial internet of things is the ability to connect low-cost sensors over the internet and track devices, equipment, and people in real-time. It’s the next generation of the internet.
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Spatially Enabling Customer Relations

Spatially Enabling Customer Relations

by Daniel ODonohue 9 min read

Segmenting data and audiences is really big at the moment, its about getting the right message to the right person at the right time. Geospatial is a big part of that, it's about putting your data in context.
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GIS geospatial podcast spatial-temporal data - every thing happens somewhere and at sometime

spatio-temporal

by Daniel ODonohue 11 min read

Everything happens at a location and at a specific time. Why have GIS standards ignored the temporal aspect of data, why don't we have the same kind of functionality for spatial-temporal data that we have for spatial data? Anita Graser, the creator of the time manager plugin for QGIS answers these questions.

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Polygons of Ownership

Polygons of Ownership

by Daniel ODonohue 10 min read

Property is surrounded by a legal space that the government defined and sectioned off to the owner with a street address for tax purposes.  It’s a polygon, rectangle, or square space. A host of other information is connected to that parcel, such as when it was first subdivided, is there a structure on it, and does it have utility hookups?  What are the permissions, zoning, and taxes owed on it? 
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Introduction to Jupyter Notebooks

Introduction to Jupyter Notebooks

by Daniel ODonohue 6 min read

Jupyter Notebooks are an interface for combining code, documentation, and data access.  Previously, your data was held in one location.  You coded somewhere else and output it to a different folder which you opened to see what your code did. A notebook is a single place where you combine code, workflow, documentation, and the results.
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Remote sensing data collection using Radio Frequency GIS geospatial remote sensing podcast for digital geographers

Radio Frequency Data Collection

by Daniel ODonohue 6 min read

Remote sensing with a difference. That’s what Ellen Christopherson, CEO and founder of clearGrid, is here to talk about.  Their unique way of collecting radio frequency (RF) data makes them a valuable partner for utility and energy companies that do any type of meter readings and billings. Ellen’s background in aviation engineering gives her an edge to see how technology can deliver efficiency in this space.
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