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 as a private dataset into the Descartes Labs catalog.
I will be using Planet Basemaps made available via Norway’s International Climate and Forests Initiative (NICFI). Learn more and apply for access here. You can also apply for access to a Descartes labs account here. This post includes a few assumptions…
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 could you answer problems better if you spent more time actually synthesizing data and less time moving it ?
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.
So this came as the need to simply being able to replicate Google Earth Engine repositories, scripts, and codes. Turns out you could always do that, go to https://earthengine.googlesource.com/ and find your repo and then download it using git clone or downloading the tar zipped file.
Over the last couple of years, Google Earth Engine has gone from being an experiment to support simple raster operations to being one of the most widely used remote sensing software that allows for massively scaling analysis and for asking and making sure that more users have the same experience with analysis no matter where they are.
In conversation with Joe Kington, Senior Geospatial Engineer at Planet
Whether or not you’ve heard the term ‘basemap,’ you likely use one every day without a second thought. From Google Maps to Pokemon Go, many consumer applications leverage basemaps to help users understand where things are located in the world.
Still not sure? Take a look at Google Earth right now (the pro version is now free), and use the image slider to zoom into an area of interest. A seamless backdrop of images with color correction applied will load up instantly. …
Basemaps are extremely useful to understand underlying change in landscape and with high temporal frequency, Planet’s monthly, quarterly base maps allow for the most updated set composite view of the planet. Though basemaps are visual products there have been interesting applications of basemaps for Machine Learning training data along with change detection, which is not dependent on pure spectral methods for classification and object detection. To that end, downloading basemap quads depending on your access is key and useful. Planet’s python command line tool allows for this functionality and more. In this article, I will go through some of the…
In conversation with Sara Safavi, Software Engineer at Planet
Over the last two years, Planet has come a long way in increasing the total square kilometers of data that it downloads and ingests into its pipeline (also called the firehose). It now allows the Earth to take a selfie every day and while we may be busy flipping through vines and four seconds videos, the Application Programming Interfaces (or APIs) are making our lives just a little bit easier. …
Google is getting rid of Google Fusion tables at the end of 2019, and while most of usare blissfully okay never using a fusion table a few of those who use Google Fusion table to feed into maps API or enjoy its integration with Google Earth Engine might need a better way of migrating them. Now in June 2017 Google Earth Engine introduced the concept of Google Earth Engine tables, and a method to upload shapefiles instead of first converting things into fusion tables and then bringing them in, so it was possible for you to simply have shapefiles and…
Decided to create a cheat sheet for porder simple CLI for ordersv2. You can find the reference to ordersv2 here. Hope it helps. Get the Cheat Sheet Here. For windows users please use your command prompt and not the Power Shell
Hope this helps summarize most of the commands and options to run using the command line. Cite the tool, or star it on GitHub if you find it useful and use it as it allows me to understand usage and develop better tools.
Samapriya Roy. (2018, December 18). samapriya/porder: porder: Simple CLI for Planet ordersV2 API (Version 0.0.3). Zenodo. http://doi.org/10.5281/zenodo.2390423
If you have used it to recreate something or to create a better workflow, let me know.
Remote sensing applications, large scale data processing and management, API applications along with network analysis and geostatistical methods