Phenological metrics derived from satellite data by use of R-package "phenex" (Lange (2017)). NDVI is filtered by modified BISE algorithm (see Viovy (1992)). NDVI curve is modelled with method DLogistic (see Doktor (2017), Lange (2017)). Phenological metrics include: (1) Start of season / green-up (GU); (2) End of season / senescence (SEN); (3) Length of vegetation period (VP); (4) GPP proxy (integral over vegetation period, GSIVI); (5) minimum NDVI (MinNDVI); (6) maximum NDVI (MaxNDVI); (7) day of minimum NDVI as julian date (MinDOY); (8) day of maximum NDVI as julian date (MaxDOY); (9) r-square of modelled NDVI curve; (1)-(4) are derived by using local threshold (LT) and global threshold (GT) method (see Doktor (2017), Lange (2...
Land surface phenology derived from remotely sensed satellite data can substantially improve our mac...
Background/Question/Methods Regional-to-continental scale monitoring of phenology has recently emerg...
tVegetation indices derived from satellite image time series have been extensively used to estimate ...
Phenological metrics derived from satellite data by use of R-package "phenex" (Lange (2017)). NDVI i...
Phenological metrics derived from satellite data by use of R-package "phenex" (Lange (2017)). NDVI i...
Analysis of changes in the phenological cycle of different plant species provide important informati...
Phenological metrics extracted from satellite data (phenometrics) have been increasingly used to acc...
Information on the timing of phenological events and their changes are critical parameters for quant...
. Satellite imagery provides a unique tool for monitoring seasonal dynamics of the Earth's vegetatio...
Time series of normalized difference vegetation index (NDVI) are important data sources for environm...
Time series of vegetation indices (VIs) obtained by remote sensing are widely used to study phenolog...
The analyses of trends in vegetation dynamics require a profound knowledge of its seasonality. For t...
Information on phenological metrics of individual plant species is meager. Phenological metrics gene...
Phenology is the study of the periodic biological events in the living world and of their relation w...
Abstract—PhenoSat is an experimental software tool that pro-duces phenological information from sate...
Land surface phenology derived from remotely sensed satellite data can substantially improve our mac...
Background/Question/Methods Regional-to-continental scale monitoring of phenology has recently emerg...
tVegetation indices derived from satellite image time series have been extensively used to estimate ...
Phenological metrics derived from satellite data by use of R-package "phenex" (Lange (2017)). NDVI i...
Phenological metrics derived from satellite data by use of R-package "phenex" (Lange (2017)). NDVI i...
Analysis of changes in the phenological cycle of different plant species provide important informati...
Phenological metrics extracted from satellite data (phenometrics) have been increasingly used to acc...
Information on the timing of phenological events and their changes are critical parameters for quant...
. Satellite imagery provides a unique tool for monitoring seasonal dynamics of the Earth's vegetatio...
Time series of normalized difference vegetation index (NDVI) are important data sources for environm...
Time series of vegetation indices (VIs) obtained by remote sensing are widely used to study phenolog...
The analyses of trends in vegetation dynamics require a profound knowledge of its seasonality. For t...
Information on phenological metrics of individual plant species is meager. Phenological metrics gene...
Phenology is the study of the periodic biological events in the living world and of their relation w...
Abstract—PhenoSat is an experimental software tool that pro-duces phenological information from sate...
Land surface phenology derived from remotely sensed satellite data can substantially improve our mac...
Background/Question/Methods Regional-to-continental scale monitoring of phenology has recently emerg...
tVegetation indices derived from satellite image time series have been extensively used to estimate ...