Satellite Data
【Tellus ver1.2 has brought you new and enhanced tools!】New features and how to use them
On June 28, 2019, we released ver1.1 of the satellite data platform "Tellus". Let's look at new features of the updated Tellus OS and how to use them.
[How to Use Tellus from Scratch] Create an Elevation Graph of Mt. Fuji using Jupyter Lab
ASTER GDEM is a Digital Elevation Model (DEM) created based on the observational data of the optical sensor "ASTER" on NASA's Earth Observation Satellite, Terra. In this article, we will introduce how to create an elevation graph of Mt. Fuji with Jupyter Lab on Tellus using ASTER GDEM 2 elevation data.
[How to Use Tellus from Scratch] Get Himawari-8 Image and create animation using Jupyter Lab
We will explain how to get Himawari-8 image, and creating animation using Jupyter Lab on Tellus.
[How to Use Tellus from Scratch] Clip area from satellite data specified in the GeoJSON format on Jupyter Notebook
Here, we will show you how to clip an area specified in GeoJSON format from satellite data obtained on Jupyter on Tellus. See "Tellusの開発環境でAPI引っ張ってみた (Use Tellus API from the development environment)" for how to use Jupyter Notebook on Tellus.
[How to Use Tellus from Scratch] Calculate the Percentage of Green Space on AVNIR-2/ALOS Optical Image Using Jupyter Notebook
We would like to introduce how to extract green space from the optical image using AVNIR-2/ALOS data on Tellus.
Tellus releases major updates! — Tellus ver1.1 can now support JupyterLab, the R programming language with newly added data, as well as greatly improving its UI and UX!
Tellus ver1.1 was released on June 28, 2019. Tellus ver1.1 now supports JupyterLab and the R programming language. It has added 200 scenes from ASNARO-2 as well as location information data, and improved many aspects of its UI/UX with updated content!
[How to Use Tellus from Scratch] Obtain high-resolution images from “TSUBAME” (SLATS), using Jupyter Notebook.
We would like to introduce and explain how to obtain high-resolution images from the Super Low Altitude Test Satellite “TSUBAME” (SLATS), using Jupyter Notebook on Tellus.
Satellite Images from “TSUBAME” Taken Everyday for a Month Released in Tellus!
Satellite data from JAXA’s Super Low Altitude Test Satellite “TSUBAME”(SLATS) is now released in Tellus! We will show the SORABATAKE style of enjoying the images taken from “TSUBAME”.
API Available in the Developing Environment of Tellus
Since API is now available on Tellus, we would like to introduce some functions of the Jupyter Notebook through vegetation analysis.
When Is Tokyo Disney Land Least Crowded? Congestion Prediction Challenge Using Free Satellite Data (Part 1)
When Is Tokyo Disney Land Least Crowded? Congestion Prediction Challenge Using Free Satellite Data (Part 1)
Where Is the Farthest Visible Point of Mt. Fuji? Analysis Using Elevation Data!
Have you ever wondered, “where is the farthest visible point of Mt. Fuji?”, meaning which areas of Japan can view Mt. Fuji. This time, we Sorabatake members asked Mr. Nagai, assistant professor of Waseda University who wrote the Google Earth Engine article for us before, if it is able to search it using satellite data.
Where can we observe shooting stars? Find your nearest stargazing spot using satellite data!
Have you seen shooting stars before? According to the survey carried out by Sorabatake, 20% of answerers responded that they have been wanting to, but never have seen shooting stars before. If that is the case, we will introduce you how to search for stargazing spot using satellite data.
We created a Puzzle app using data on Tellus
This app was created to make people more familiar with SAR data and optical data on Tellus.
Using Tellus on Jupyter Notebook: snow condition analysis
Since API on Tellus is now available, we would like to introduce some functions of Jupyter Notebook through analyzing snow conditions.
The 3 Advantages of the Japan’s First Satellite Data Platform “Tellus”
On July 31st, 2018, xData Alliance, the alliance that develops and promotes Tellus, held a press conference, which has drawn a lot of attention.