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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.

Introduction

Do Smaller Antenna Really Correlate With Higher Resolution? Thorough Examination of One of SAR’s Mysteries Without Using any Formulas!

This time, we are speaking with a broad group of people who are interested in SAR images, including an engineer who processes them, to a business developer, obsessed with the SAR industry, to learn what determines the resolution of SAR images from top to bottom.

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.

Notebooks

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.

Machine Learning

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.

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.

Case studies

JICA aids the Cambodian Countryside with Hydroelectric Power. How extensive is the electricity? Satellites beautifully show us the exact incredible extent!

JICA's Evaluation Department is using satellite data to evaluate the effectiveness of their foreign aid. What exactly is the Evaluation Department's idea for using satellites?

Machine Learning

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.

Space business

Sensing disasters and environmental changes in house! The future of risk management with small SAR satellites

We interviewed Mr. Ichiki, COO of iQPS Inc., which successfully launched its first small SAR satellite "IZANAGI" in December 2019, about his motivation to become a manager and the potential of the satellite business.

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

Notebooks

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.