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Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images (1984–2011)

Dates

Publication Date

Citation

Meghan Halabisky, L. Monika Moskal, Alan Gillespie, and Michael Hannam, 2016-05, Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images (1984–2011): Remote Sensing of Environment, v. 177, p. 171-183.

Summary

Abstract (from http://www.sciencedirect.com/science/article/pii/S0034425716300682): Wetlands are valuable ecosystems for maintaining biodiversity, but are vulnerable to climate change and land conversion. Despite their importance, wetland hydrology is poorly understood as few tools exist to monitor their hydrologic regime at a landscape scale. This is especially true when monitoring hydrologic change at scales below 30 m, the resolution of one Landsat pixel. To address this, we used spectral mixture analysis (SMA) of a time series of Landsat satellite imagery to reconstruct surface-water hydrographs for 750 wetlands in Douglas County, Washington State, USA, from 1984 to 2011. SMA estimates the fractional abundance of spectra representing [...]

Contacts

Communities

  • National and Regional Climate Adaptation Science Centers
  • Northwest CASC

Associated Items

Tags

Categories
Other
Organization
Water, Coasts and Ice
Types

Provenance

Data source
Input directly

Additional Information

Citation Extension

journalRemote Sensing of Environment
parts
typeVolume
value177
typePages
value171-183
citationTypeJournal Article

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