Can people be seen from artificial satellites? -Summary of GSD & revisit/local time satellite index-
Can we see people from satellite images? We will introduce "GSD," "revisit time," and "local time," the indexes to gain knowledge of satellite image specifications.
The basics of satellite data — What it tells us, types, observation interval, resolution and use cases
What can we actually gain to know from satellite data? How do we gain this knowledge? How frequently? How is satellite data used in the actual real world? We are going to answer all these questions.
Is Satellite Data IoT? A Comparison with Airplanes/Drones and other Case Studies
This article broadly introduces features of the data obtained from IoT sensors, including drones, airplanes, and satellites, and how to combine them.
Extract Differences by Synthesizing Two Satellite Images Taken at Different Times
We are going to try and compare differences using two satellite images taken at different times. What are the visible differences in the images of the town?
What is a satellites’ final task? The achievements of a decommissioned Super Low Altitude Test Satellite (SLATS)
Where do retired artificial satellites go when they completed their duties in space? The operation of Super Low Altitude Test Satellite (SLATS) was finalized on October 1, 2019. In this article, we will explain SLATS last job and how to interpret its observation data.
Data Science competition of Sea ice detection : its purpose points on images
On October 4th, 2019, the "3rd Tellus Satellite Challenge", a satellite data analysis competition, began at SIGNATE. The theme of this contest is "detection of the sea-ice area." This article will explain the purpose and points to be considered on images.
Vessel Detection— Introduction of the analytical approaches used by the winners of the 2nd satellite data analysis contest
We are going to introduce the analytical approaches used by the top three winners in the “Tellus Satellite Challenge”, a vessel detection algorithm competition using satellite data.
[How to Use Tellus from Scratch] How do you get an image larger than a map tile? Four tips on handling map tiles
We have shown you how to handle data on JupyterLab in the "Tellus from Scratch" posts. We often use the word "map tile" in these posts. Now, we'll tell you some useful techniques to deal with map tiles with JupyterLab on Tellus.
[How to Use Tellus from Scratch] Get data from the Automated Meteorological Data Acquisition System (AMeDAS) on JupyterLab
You can get observed data values at one-minute intervals of rain, anemometers, thermometers, sunshine recorders and snow gauges of the Automated Meteorological Data Acquisition System (AMeDAS) on Tellus. In this post, we'll show you how to get this AMeDAS data using JupyterLab on Tellus.
【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.