Our Most-Read Knowledge Base Articles
Whether you have specific questions or are just looking to better understand our technology and its applications, the MicaSense Knowledge Base is there for you! In this post we have compiled the most popular articles on our KB to help you get the most out of your sensor.
We hope these answer the questions you might have and help you feel more prepared to take full advantage of multispectral imagery.
Getting Started With RedEdge
Just got a RedEdge? Don’t miss this post where we explain step by step how to set up the MicaSense RedEdge for a successful mission. With multiple options for integration, this guide will help you get it right.
Best practices: Collecting Data
From mission planning to reducing the effects of harsh lighting on your data, this article offers some basic guidelines on data collection in order to produce the best results.
How to Process RedEdge Data in Pix4D
Written by the experts, this tutorial will show you the optimal way to process RedEdge data in Pix4D.
How much overlap is needed?
This is a question we often get from our customers. To answer it, we have created this KB article that discusses what the right amount of overlap is for RedEdge, and this blog post that explains why.
Need more storage?
RedEdge SD cards support up to 32GB of storage, but don’t let that stop you! If your projects require more than that, check out our expandable storage guide.
RedEdge Camera Radiometric Calibration Model
Looking to implement your own image processing workflow? We have you covered with this series of programing tutorials that explains how to manipulate RedEdge imagery and metadata to achieve the best results.
Reading DLS Irradiance Metadata
Interested in doing your own reflectance calibration using the DLS? In this article we will teach you how to read DLS irradiance metadata using standard EXIF metadata reader tools and libraries.
An overview of the available layers and indices in Atlas
If you are new to Atlas you should definitely take a look at this article where we describe and explain the helpful layers and indices available in Atlas. We hope that with this information you can rock your data analysis.
Have more questions? Visit our Knowledge Base and learn more about the best ways to use our technology.
If you don’t find what you are looking for, please contact us, we will be happy to help!
