Development and evaluation of a lookup-table-based approach to data fusion for seasonal wetlands monitoring: An integrated use of AMSR series, MODIS, and Landsat

Broad scale monitoring of inland waters is essential to research on carbon and water cycles, and for application in the monitoring of disasters including floods and droughts on various spatial and temporal scales. Satellite remote sensing using spatiotemporal data fusion (STF) has recently attracted...

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Veröffentlicht in:	Remote sensing of environment 2017-09, Vol.199, p.370-388
Hauptverfasser:	Mizuochi, Hiroki, Hiyama, Tetsuya, Ohta, Takeshi, Fujioka, Yuichiro, Kambatuku, Jack R., Iijima, Morio, Nasahara, Kenlo N.
Format:	Artikel
Sprache:	eng
Schlagworte:	AMSR-E AMSR2 Aridity Carbon cycle Data fusion Data integration Data processing Database unmixing (DBUX) Datasets Disasters Drought Hydrologic cycle Hydrology Inland waters Landsat Landsat ETM Landsat satellites Landsat TM Landscape Microwaves MODIS Monitoring Multisensor fusion Reflectance Remote sensing Remote sensing systems Satellite data Satellites Seasonal wetlands Seasons Spatial heterogeneity Spatial resolution Studies Tables (data) Temporal variability Temporal variations Tracking Wetlands
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