As any "normal" scientist, part of my vacation was dedicated to learning something new. In this case I wanted to enhance my piloting skills by learning how to map with an entry level drone, the DJI Mini, using the software Dronelink (iOS). Technically, the DJI Mini is not a mapping drone as it lacks onboard waypoint capabilities, which ...

This blog post serves as a companion to the publication "Mapping the Extent of Invasive Phragmites australis subsp. australis From Airborne Hyperspectral Imagery", and assumes a basic understanding of remote sensing principles by the reader. While this post is written in general language ...

This post discusses the publication: "Multi-Scale Spectral Separability of Submerged Aquatic Vegetation Species in a Freshwater Ecosystem."

Why study freshwaters?

To date, aquatic remote sensing has largely focused on clear, shallow coastal waters where it’s relatively ...

Hyperspectral remote sensing presents the opportunity to collect narrow contiguous wavebands numbering over hundreds across the electromagnetic spectrum. These valuable information can be related to physical and chemical composition of the material in the image scene. Compared to multispectral imagery, hyperspectral remote sensing is rapidly emerging ...

Using our experience fixing four river networks in Peru for the Peruvian Amazon Rural Livelihoods and Poverty (PARLAP) project, we have developed three OpenSource QGIS 3 models that will permit you to find and fix problems in your directional linear network (road, rivers...).

In hyperspectral remote sensing, rich spectral information is acquired for each pixel of an image collected over a region of interest. This spectral information is extremely valuable as it can be used to identify and characterize the materials from each collected pixel. Before analyzing hyperspectral imaging data, it is important to geometrically ...