Dataset

MUSIC for HA dataset

The HotArea (HA) is a system to automatically detect hotspots (e.g., fires and volcanoes) in the world in mid-resolution satellite data and displays the results on a web-based GIS system. Currently Hotarea utilizes Landsat 8 and Sentinel-2 data in global scale and in some selected regions, respectively.

Detailed Information :https://github.com/gistairc/MUSIC4HA

http://data.airc.aist.go.jp/MUSIC4HA/MUSIC4HA.zip

Creator :	Geoinformation Service Research Team, Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology Contact : m-gsrt-contact[at]aist.go.jp
License :	Custom License https://github.com/gistairc/MUSIC4HA/blob/master/LICENSE.md
First Publication Date :	Fri, 14 Sep 2018 JST
Citation :	加藤創史・中村良介・織田篤嗣・飯島昭博・神山徹・岩田敏彰，Landsat 8データを用いた高温検知システムの開発，日本リモートセンシング学会第57回(平成26年度秋季)学術講演会, 2014年11月. Kato.S, Nakamura.R, “Detection of thermal anomaly using Sentinel-2A data”, IEEE IGARSS 2017, July 2017. Miyamoto.H, Kato.S, Oda.A, Nakamura.R, “Automatic Classification of Hot spots on Satellite Imagery by Deep Learning”, JSAI 2017, May 2017.

Updated on Fri, 25 Oct 2024 13:51:27 JST