Classification Tree Analysis (Gini-Index) Smoke Detection using Himawari_8 Satellite Data Over Sumatera-Borneo Maritime Continent Sout East Asia. (April 2019)
- Record Type:
- Journal Article
- Title:
- Classification Tree Analysis (Gini-Index) Smoke Detection using Himawari_8 Satellite Data Over Sumatera-Borneo Maritime Continent Sout East Asia. (April 2019)
- Main Title:
- Classification Tree Analysis (Gini-Index) Smoke Detection using Himawari_8 Satellite Data Over Sumatera-Borneo Maritime Continent Sout East Asia
- Authors:
- Ismanto, H
Hartono,
Marfai, M A - Abstract:
- Abstract: Classification tree analysis (CTA) automatic smoke detection was proposed using Himawari_8 Satellite data over Sumatera and Borneo Island Maritime Continent. Day Natural color and aerosol RGB composite were used to make Region of Interest (ROI) sampling of Cumulonimbus (Cb) top, low-mid cloud, smoke, bare soil, cirrus cloud, vegetation, and water. CTA - Gini index supervised classification being constructed with two different band collection as input. The result shows that CTA model 2, using 21 bands collection as input, has better overall accuracy value (about 0.75). Then the CTA model 1 only has an overall accuracy of about 0.63. The future research is still open in comparing the different impurity methods of CTA model, ensemble model of smoke detection using several CTA output models, and also a diurnal or seasonal variation of smoke using CTA model detection.
- Is Part Of:
- IOP conference series. Volume 256(2019)
- Journal:
- IOP conference series
- Issue:
- Volume 256(2019)
- Issue Display:
- Volume 256, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 256
- Issue:
- 2019
- Issue Sort Value:
- 2019-0256-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-04
- Subjects:
- Earth sciences -- Periodicals
Environmental sciences -- Congresses
Environmental sciences -- Periodicals
550.5 - Journal URLs:
- http://iopscience.iop.org/1755-1315 ↗
http://ioppublishing.org/ ↗ - DOI:
- 10.1088/1755-1315/256/1/012043 ↗
- Languages:
- English
- ISSNs:
- 1755-1307
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4565.243000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11111.xml