Archive of posts with tag 'imagery'

Weekend Reading: Commercial Imagery, Proof Mechanisms, and Cinematic Universes

August 8, 2020 • #

🌏 The Commercial Satellite Imagery Business Model is Broken

My friend Joe Morrison’s latest is an extended rant on the commercial satellite imagery market, and a plea to that industry to rethink how they might improve their go-to-market approaches for selling to commercial businesses.

I can vouch for his account of what it’s like to work with a commercial provider first-hand. Their business models make it challenging to go direct-to-customer, even at fairly high price tags. Until they can lower the barrier to entry into the two-...

Weekend Reading: Real Time Analytics, Georeferencing, and Fulcrum Code

June 1, 2019 • #

📉 Whom the Gods Would Destroy, They First Give Real-time Analytics

I thought this was a great post on how unnecessary “real-time” analytics can be when misused. As the author points out, it’s almost never necessary to have data that current. With current software it’s possible to have infinite analytics on everything, and as a result it’s irresistable to many people to think of those metrics as essential for decision making.

This line of thinking is a trap. It’s important to divorce the concepts of operational metrics...

Weekend Reading: Product Market Fit, Stripe's 5th Hub, and Downlink

May 11, 2019 • #

🦸🏽‍♂️ How Superhuman Built an Engine to Find Product/Market Fit

As pointed out in this piece from Rahul Vohra, founder of Superhuman, most indicators around product-market fit are lagging indicators. With his company he was looking for leading indicators so they could more accurately predict adoption and retention after launch. His approach is simple: polling your early users with a single question — “How would you feel if you could no longer use Superhuman?”

Too many example methods in the literature on product development orient around asking...

Weekend Reading: CES 2019, Tips for Satellite Imagery, and Shortcuts Archive

January 19, 2019 • #

📱 CES 2019: A Show Report

This year’s excellent report from the show floor from Steven Sinofsky. It’s extensive and covers the products a-to-z, breaking down the trends by category. I’d also recommend the companion podcast conversation between Sinofsky and Benedict Evans.

🗺 Satellite Image Guide for Journalists and Media

A helpful guide with tips and factoids on satellite imagery. Includes a primer on the various sensor platforms, differences in resolution, color correction, infrared, and more. There are also a...

Weekend Reading: RoboSat, the State of Security, and the Equal Earth Map

January 12, 2019 • #

🛰 Buildings from Imagery with RoboSat

This excellent guide shows how to combine take imagery from OpenAerialMap and buildings from OpenStreetMap, and combine to train a model for automated feature extraction. It uses an open source tool from Mapbox called RoboSat combined to compare a GeoTIFF from OAM with a PBF extracts from OSM. Very cool to have a generalized tool for doing this with open data.

🔐 The State of Software Security in 2019

An excellent roundup (with tons of ancillary linked sources)...

Weekend Reading: Mastery Learning, Burundi’s Capital, and SRTM

December 29, 2018 • #

🎓 Mastery Learning and Creative Tasks

Khan Academy’s Andy Matuschak on tasks that require “depth of knowledge” versus those that have higher “transfer demand.” Both can be considered “difficult” in a sense, but teaching techniques to build knowledge need different approaches:

One big implication of mastery learning is that students should have as much opportunity to practice a skill as they’d like. Unlike a class that moves at a fixed pace, a struggling student should always be able to revisit prerequisites, read an alternative explanation, and try some new challenges. These systems...

OpenDroneMap

October 24, 2018 • #

Since I got the Mavic last year, I haven’t had many opportunities to do mapping with it. I’ve put together a few experimental flights to play with DroneDeploy and our Fulcrum extension, but outside of that I’ve mostly done photography and video stuff.

OpenDroneMap came on a scene a couple years ago as a toolkit for processing drone imagery. I’ve been following it loosely through the Twittersphere since. Most of my image processing has been done with DroneDeploy, since we’d been working with them on some integration between...

Weekly Links: LiDAR, WannaCry, and OSM Imagery

May 18, 2017 • #

🗺 LiDAR Data for DC Available as an AWS Public Dataset

LiDAR point cloud data for Washington, DC, is available for anyone to use on Amazon Simple Storage Service (Amazon S3). This dataset, managed by the District of Columbia’s Office of the Chief Technology Officer (OCTO), with the direction of OCTO’s Geographic Information System (GIS) program, contains tiled point cloud data for the entire District along with associated metadata.

This is a great move by the District to make high value open data available.

🖥 WannaCry and the Power of Business Models

Ben Thompson...

Aerial imagery with the Mavic

April 24, 2017 • #

At work we’ve been building an integration between Fulcrum and DroneDeploy, a service for automating drone flight and data capture for aerial imagery. It’s compatible with the Mavic, so I gave it a shot with some test flights over my house.

The idea is simple: use DroneDeploy to draw on a map the area you want to survey from above, and their app handles building the flight plan, sending it to the drone, and flying the waypoints to take all the photos. You then take the pictures from the drone’s storage and upload to your DroneDeploy project for processing....