List : オープンデータ
The 4th Tellus Satellite Challenge! Explanation of approaches taken by the winners
"Coastline extraction" was the theme of the 4th Tellus Satellite Challenge. In this article, we will look at the approaches taken by the winners, make comparisons, and summarize their methods so that they can be applied to other (satellite) image data competitions.
Is the Susanoo Shrine built in a location that is resistant to flood damage? We took a look at the enshrined deity and used satellite data to examine the city it is in.
In this article, we will be using the satellite data platform "Tellus" to look into a series of shrines called the Yasaka Shrines, which have both Buddhist and Shinto aspects to them. We will look specifically at their Hikawa sect which enshrines the deity Susanoo. Looking at Shrines From Space! Pretty Cool, Eh?
【Now available at our Tellus Market!】It’s now possible to sell tools on Tellus! Increased browsing speed and new functions available on update.
The ability to sell tools has been introduced to the Tellus Market, which has only had free tools up until now. Browsing speeds are also faster than ever before, and it is far easier to compare and search for data thanks to our latest update. Now's the perfect chance to try out Tellus for those users who want to browse satellite data, or sell their very own tool on our platform.
Using InSAR to Examine Mountains On Tellus [Code Included]
In this article, we will be implementing InSAR from scratch to examine subsidence. This time, we will be looking at irregular surfaces such as mountains.
Via using a Learned Model, we create a Machine Learning Model to Easily Detect Golf Courses [Code/Data Included]
Creating a machine learning model with transition learning by using a trained model makes it easier to perform image identification prediction. We will go into detail on images both with and without golf courses, and the coding behind them.
[How to Use Tellus from Scratch] Using Pseudo Data From for ALOS-3, Planned Launch in 2021 (Tellus OS/Development Environment)
In this article we will be introducing ALOS-3 pseudo data gathered on Tellus OS and how to use API on the Tellus development environment.
Automatic Detection of Parking-Lot Space With Satellite Data Challenges and Points of Improvement for the Joint Project by Sakura Internet, akippa, and Ridge-i
During a talk session on August 4, it was announced that Sakura Internet, akippa, and Ridge-i are working together to develop an algorithm that uses satellite data to find space that can be rented out for parking cars, so we decided to talk with them about the challenges they face whilst developing this service, and the success they have made using Sharp's super-resolution technology.
Using Lightning Observation Data for Free! Learning About the Science Behind Different Types of Lightning
A long long time ago, lightning used to be feared. Even today, it still has a large impact on our everyday lives in the form of power outages and lightning surges. Lightning observation data allows us to understand when and where lightning will strike. Today, we will be looking into what causes lightning, and getting to learn how to use Tellus' lightning data.
The “Extracting Difference Between Two Points of Satellite Data” Challenge — A Look at ABEJA’s Difference Extracting Algorithm
We went behind the scenes to ask ABEJA about the applications and future of their difference extracting algorithm!
NDVI provided by Shikisai (GCOM-C) is available on Tellus!
We will be introducing the summary and directions for using the NDVI (normalized difference vegetation index) data provided by Shikisai (GCOM-C), that was added to Tellus OS on May 28, 2020.
Using Tellus to Determine Land Subsidence via InSAR Analysis [Code Included]
This article will go over coding algorithms for the interferometric analysis of SAR images. Anyone can use this code to create their own InSAR images.
Get super-resolution for satellite images using SRCNN [with code]
In this article, we will try to get super-resolution images of actual satellite data using Tellus.
Super-Resolution Processing of Satellite Images Using Sharp’s Deep Learning Model
Super-resolution is a technique to artificially raise the resolution of an image. Super-resolution is one of the hot topics in the field of machine learning, but what happens when you combine it with satellite imagery? We went to the Sharp Corporation Research and Development HQ, and asked the manager of the 3rd Research Team for Communication & Image Technology Laboratories, Tomohiro Ikai, and researcher, Eiichi Sasaki about the future of this technology.
Earth’s Surface Temperature Data taken by “Shikisai” (GCOM-C) will be Released on Tellus!
Data showing the temperature of the earth's surface taken by GCOM-C (Shikisai) is available on Tellus after an update on March 26th, 2020. This article goes into GCOM-C's data on the earth's surface available on Tellus OS, and how to read it.
Tellus Takes on the Challenge of Calculating Land Coverage Using L2.1 Processing Data from PALSAR-2
Tellus Takes on the Challenge of Calculating Land Coverage Using L2.1 Processing Data from PALSAR-2
Imaging PALSAR-2 L1.1 using Tellus [with code]
This article describes how to extract and visualize complex images (images with phase and reflection intensity information of radio waves) from PALSAR-2 L1.1 data released on Tellus in accordance with the format called the CEOS format.