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List : TELLUS

New release

【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.

How to use

Using Amedas Data to Visualize Temperature Forecasts and Rainfall in Real Time.

For this article, we used the Amedas minute-by-minute data available on Tellus for our analysis. We looked specifically at the minute-by-minute Amedas data in northern Kyushu for rainfall that occurred between 5th and 6th of July 2017.

Machine Learning

Using SSD to Perform Object Detection on Airplanes

For readers who want to try using machine learning and satellite data to do something interesting, we'd like to suggest trying out object detection. In this article, we attempt to use satellite data in order to perform object detection on airplanes.

Tellus

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.

New release

TelluSAR is finally here! Thorough explanation of how to use the official analysis tool”TelluSAR (Teru-sa)” API!

TelluSAR, the official tool of Tellus Market has been released. It is a tool that uses satellite images from two different times to show ground surface subsidence and uplift on Earth. This article will explain how to use the tool, focusing especially on the API version.

How to use

A Course on Sorabatake Satellite Data! Supplement: How to use Tellus API

This article introduces day 6 of the Sorabatake satellite data course, held during the summer of 2020, when we worked with Tellus' API.

Machine Learning

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.

Case studies

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.

Notebooks

This is the forefront of the SAR image! Viewing images taken by ICEYE on Tellus!

One of the big up and coming technologies in the space industry right now is SAR (synthetic-aperture radar), and the global company on the forefront of this technology is a company stationed in Finland called ICEYE. This company recently made headlines when they achieved a SAR resolution of 25 cm.

Machine Learning

The 4th Tellus Satellite Challenge is now underway! The theme is “coastline extraction.”

Here is an overview of the 4th Tellus Satellite Challenge, a competition for segmentation using satellite images, with details of the competition, helpful papers, and material.

Introduction

Structural Classifications Using SAR Polarimetry (Polarimetric Decomposition)

In today's article, we will be testing out whether or not you can use polarimetric decomposition to differentiate between natural and man-made objects.

How to use

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.

Machine Learning

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!

Machine Learning

The conversion of SAR to optical image using pix2pix and analysis of another SAR image with this generator

Using GANs, which has become a popular topic in recent years as an image generation algorithm, I tried to convert non-intuitive SAR images into optical images.

New release

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.

How to use

[How to Use Tellus from Scratch] Comparing regions of Shibuya and Sugamo using Mobile Spatial Statistics data

Mobile spatial statistics data has been added to the API available on Tellus. In this article, we will introduce and explain a simple case study.

New release

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.

Notebooks

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