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.
https://github.com/gistairc/MUSIC4HA
TIFF
Creator :
Geoinformation Service Research Team, Digital Architecture Research Center, National Institute of Advanced Industrial Science and Technology
License :
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.
Tue, 24 Aug 2021 11:24:33 JST