Category: Drone Mapping Tips & Tricks

Lots of wires and cables on a sensor
Drone Mapping Tips & Tricks

Types of environmental sensors for drones

Drones are an extremely useful tool for capturing large quantities of high-quality environmental data. But you might not realise just how much data you can capture with them, especially when you start adding sensors. So here’s a rundown of the most common types of environmental sensors you can use with a drone, and the data

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Series of tools used for making measurements on maps or photos aka photogrammetry
Drone Mapping Tips & Tricks

What is photogrammetry?

Photogrammetry is the science of taking measurements from photographs. We can make photographic measurements using photos taken at ground level, from aerial platforms, and even underwater. One of the most important elements of photogrammetry is taking lots of photos with high amounts of overlap between adjacent pictures.   Aerial photogrammetry was initially limited to organisations

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Catching a drone
Drone Mapping Tips & Tricks

Fixed-wing vs multirotor drones: Which is better?

There are lots of advantages to using drone mapping over traditional survey techniques or satellite imagery for data collection. But to make the most of drone mapping, you want to make sure you’re using the right equipment, and that starts with picking the right drone. What are the options? When people think of drones, multirotor

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drone resolution
Drone Data Capture

What is the resolution of drone mapping?

Many people use drones for mapping to achieve greater resolution when compared to traditional aerial photography or satellite imagery. But what does ‘resolution’ really mean when considering remotely sensed data? There are actually three main types of resolution relevant here: spatial, spectral, and temporal. Let’s explore each below in the context of drone data collection.

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drones used for research
Drone Mapping Tips & Tricks

Drones Used for Research: A Grad Student’s Perspective

Drones used for research:  My name is Valerie and I am currently a PhD student at James Cook University. My project consists of modelling coral bleaching predictions and therefore, it fundamentally requires spending a lot of time in front of a computer. Although coding may not necessarily be every marine biologist’s favourite part of research,

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GPU vs CPU GeoNadir Deep learning
Artificial Intelligence

GPU vs CPU: Which One Do You Need If You Want to Learn Deep Learning

Let us explain the difference between CPU vs GPU in the process of deep learning. Recently, I had an interesting experience while training a deep learning model. To make a long story short, I’ll tell you the result first: CPU based computing took 42 minutes to train over 2000 images for one epoch, while GPU based computing only took

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