Biodiversity
; Conservation
; Radiometers
; Regression analysis
; Spectrometers
; Surface water resources
; Time series
; Water levels
; Water management
; Water supply systems
; Biodiversity conservation
; European Commission
; Long-term variability
; Mediterranean region
; Moderate resolution imaging spectrometers
; Monitoring and assessment
; Rule based regression models
; Similar temporal patterns
; Surface waters
; accuracy assessment
; cloud cover
; data set
; estimation method
; European Commission
; fractionation
; groundwater-surface water interaction
; Landsat
; Mediterranean environment
; MODIS
; satellite data
; surface water
; time series analysis
; water management
Li, L., Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede, Netherlands; Skidmore, A., Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede, Netherlands, Department of Environmental Sciences, Macquarie UniversityNSW, Australia; Vrieling, A., Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede, Netherlands; Wang, T., Faculty of Geo-information Science and Earth Observation, University of Twente, Enschede, Netherlands
Recommended Citation:
Li L.,Skidmore A.,Vrieling A.,et al. A new dense 18-year time series of surface water fraction estimates from MODIS for the Mediterranean region[J]. Hydrology and Earth System Sciences,2019-01-01,23(7)