Invasive species mapping in hawaiian rainforests using multi-temporal hyperion spaceborne imaging spectroscopy

Ben Somers, Gregory P. Asner

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

We evaluated the potential of multi-temporal Multiple Endmember Spectral Mixture Analysis (MESMA) of Earth Observing-1 Hyperion data for detection of invasive tree species in the montane rainforest area of the Hawaii Volcanoes National Park, Island of Hawaii. We observed a clear seasonal trend in invasive species detection success when unmixing results were cross-referenced to ground observations; with Kappa coefficients (indicating detection success, 0-1) ranging between 0.66 (summer) and 0.69 (winter) and 0.51-0.53 during seasonal transition periods. An increase of Kappa to 0.80 was observed when spectral features extracted from September, August and January were integrated into MESMA. Multi-temporal unmixing improved the detection success of invasive species because spectral information acquired over different portions of the growing season allowed us to capture species-specific phenology, thereby reducing spectral similarity among species.

Original languageEnglish (US)
Article number6242393
Pages (from-to)351-359
Number of pages9
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume6
Issue number2
DOIs
StatePublished - Jan 1 2013
Externally publishedYes

Fingerprint

Hyperion
invasive species
rainforest
spectroscopy
Spectroscopy
Imaging techniques
Volcanoes
Earth (planet)
phenology
national park
growing season
volcano
detection
winter
summer
analysis

Keywords

  • Earth Observing-1
  • Hawaii
  • Hyperion
  • InStability Index
  • MESMA
  • Morella Faya
  • phenology
  • temporal unmixing

ASJC Scopus subject areas

  • Computers in Earth Sciences
  • Atmospheric Science

Cite this

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abstract = "We evaluated the potential of multi-temporal Multiple Endmember Spectral Mixture Analysis (MESMA) of Earth Observing-1 Hyperion data for detection of invasive tree species in the montane rainforest area of the Hawaii Volcanoes National Park, Island of Hawaii. We observed a clear seasonal trend in invasive species detection success when unmixing results were cross-referenced to ground observations; with Kappa coefficients (indicating detection success, 0-1) ranging between 0.66 (summer) and 0.69 (winter) and 0.51-0.53 during seasonal transition periods. An increase of Kappa to 0.80 was observed when spectral features extracted from September, August and January were integrated into MESMA. Multi-temporal unmixing improved the detection success of invasive species because spectral information acquired over different portions of the growing season allowed us to capture species-specific phenology, thereby reducing spectral similarity among species.",
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