宙畑 Sorabatake

List : オープンデータ

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.

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.