Imagine some of the harshest operational conditions in the world, with swings in temperature and pressure. A world that is profound and yet vastly less explored than most missions undertaken by humanity. and yet something we rely on every single day. With the need for more ocean data and continuous…

Measuring near-real-time data over open oceans over the last couple of decades has been mostly challenging. Over 80% of our oceans are unexplored and as the impetus to expand and understand these cyclically connected systems grow, getting to data is going to be critical. …

Communities are what communities build together. Over a year or so ago, I floated the idea of a Google Earth Engine Makerspace at Geo for Good 2020, this was also around the time when I was exploring the idea of community data commons and created the awesome-gee-community datasets catalog. You…

As part of the many announcements that came out of the Geo for Good 2021 virtual conference was the announcement from Google that Google Earth Engine apps are getting an upgrade from being experimental. They are here to stay and they will allow some really great features to support scaling…

Telling a story or even writing code comes in steps and strides. On GitHub, users can think of this as commit logs and histories. GitHub also transforms your commit history into a contribution calendar map for a quick sneak peek at when you contribute code. While this transforms your commit…

Over the period of decades the emphasis towards studying global coastal reefs and the need to constantly monitor them has accelerated. With an understanding that such insights might be valuable given the dynamic nature of such systems. This has also been made possible with advances in technology , capability to…

The Descartes Labs Platform is a data refinery combined with large-scale computational processing and scaling. The platform allows you to run analysis on their catalog of pre-ingested datasets, while also letting you bring your own private data archives. For this post, we will be bringing in and uploading Planet Basemaps…

Samapriya Roy and Erin Dawn Trochim Have you ever spent days uploading a dataset to a cloud-based platform only to find out that it was already available — you just didn’t know it was there? Or bypassed data entirely because it was too large and complex to work with? How…

In the year 2010, a paper by Roy et al. discussed the mechanics of creating cloud-free Landsat composites over monthly, seasonal, and yearly time periods. The project was called Web Enabled Landsat Data (WELD) and was discontinued in 2019.