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 language | English (US) |
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Article number | 6242393 |
Pages (from-to) | 351-359 |
Number of pages | 9 |
Journal | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Volume | 6 |
Issue number | 2 |
DOIs | |
State | Published - 2013 |
Externally published | Yes |
Keywords
- Earth Observing-1
- Hawaii
- Hyperion
- InStability Index
- MESMA
- Morella Faya
- phenology
- temporal unmixing
ASJC Scopus subject areas
- Computers in Earth Sciences
- Atmospheric Science