Monitoring plant invasions in Hawaiian rainforests through multi-temporal unmixing

Somers Ben, Gregory P. Asner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We evaluated the potential of a multi-temporal MESMA for invasive species mapping in Hawaiian rainforests. EO-1 Hyperion data were compiled in a single image cube and ingested into MESMA. The temporal analysis provided a way to incorporate species phenology meanwhile a feature selection technique automatically identified the best time and best feature set to optimize the separability among the target tree species. Our analysis showed a systematic increase in the invasive species detection success when compared to the output of the traditional unitemporal approach (Kappa = 0.69 vs 0.78).

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3926-3929
Number of pages4
ISBN (Electronic)9781479957750
DOIs
StatePublished - Nov 4 2014
Externally publishedYes
EventJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014 - Quebec City, Canada
Duration: Jul 13 2014Jul 18 2014

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

ConferenceJoint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014
Country/TerritoryCanada
CityQuebec City
Period7/13/147/18/14

Keywords

  • MESMA
  • biodiversity
  • hyperspectral
  • vegetation

ASJC Scopus subject areas

  • Computer Science Applications
  • General Earth and Planetary Sciences

Fingerprint

Dive into the research topics of 'Monitoring plant invasions in Hawaiian rainforests through multi-temporal unmixing'. Together they form a unique fingerprint.

Cite this