Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0034-4257(01)00185-7
DC FieldValue
dc.titleERS SAR backscatter a potential real-time indicator of the proneness of modified rainforests to fire
dc.contributor.authorCouturier, S.
dc.contributor.authorTaylor, D.
dc.contributor.authorSiegert, F.
dc.contributor.authorHoffmann, A.
dc.contributor.authorBao, M.Q.
dc.date.accessioned2011-05-03T06:49:13Z
dc.date.available2011-05-03T06:49:13Z
dc.date.issued2001
dc.identifier.citationCouturier, S., Taylor, D., Siegert, F., Hoffmann, A., Bao, M.Q. (2001). ERS SAR backscatter a potential real-time indicator of the proneness of modified rainforests to fire. Remote Sensing of Environment 76 (3) : 410-417. ScholarBank@NUS Repository. https://doi.org/10.1016/S0034-4257(01)00185-7
dc.identifier.issn00344257
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/22186
dc.description.abstractThe 1997-1998 fires impacted upon huge areas of forests in Indonesia. Remotely sensed data have played an important role in both monitoring and publicizing the unfolding environmental tragedy and in postburn assessments of fire damage. This paper examines the potential of an active satellite system (European Radar Satellite [ERS]-2 Synthetic Aperture Radar [SAR]) to monitor the proneness of a range of vegetation types in East Kalimantan to burn, using a fire-related, daily drought index (DDI) as a proxy. The results indicate significant correlations between the C-band SAR backscatter and DDI values for a range of modified vegetation types, including dipterocarp forest with low to moderate disturbance. A deterministic relationship between backscatter and the fire-related DDI may thus exist, which implies that backscatter data could be used to monitor real-time changes in the proneness of vegetation to fire. A drought correlation map provides a synoptic view in the study area of differences in proneness of vegetation to fire. © 2001 Elsevier Science Inc.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0034-4257(01)00185-7
dc.sourceScopus
dc.subjectDrought stress
dc.subjectEl Niño
dc.subjectIndonesia
dc.subjectRemote sensing
dc.subjectTropical forest
dc.subjectVegetation
dc.typeArticle
dc.contributor.departmentGEOGRAPHY
dc.description.doi10.1016/S0034-4257(01)00185-7
dc.description.sourcetitleRemote Sensing of Environment
dc.description.volume76
dc.description.issue3
dc.description.page410-417
dc.description.codenRSEEA
dc.identifier.isiut000169100100011
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

19
checked on Sep 19, 2020

WEB OF SCIENCETM
Citations

12
checked on Sep 11, 2020

Page view(s)

214
checked on Sep 15, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.