This phenological product provides information on the spring and autumn phenometrics of the vegetation in Canary Islands for the period 2018-2021. This product is based on a spatial resolution of 10 meters (Sentinel-2A/B data).Coordinate system of data is GCS_WGS_1984. SOS (start of the growing season) and EOS (end of the growing season) data are given for each island separately
M.S. University of Hawaii at Manoa 2013.Includes bibliographical references.Phenology, the study of ...
This work aims to evaluate the detection of phenological phases of vegetation based on phenometric p...
The monitoring of forest phenology based on observations from near-surface sensors such as Unmanned ...
Remote sensing studies of vegetation phenology increasingly benefit from freely available satellite ...
Dense time series of Landsat 8 and Sentinel-2 imagery are creating exciting new opportunities to mon...
Abstract Land surface phenology (LSP) products are currently of large uncertainties due to cloud con...
Phenometrics extracted from smoothed NDVI time-series (double logistic function) for Canary Islands:...
Abstract The leaf phenology (i.e. the seasonality of leaf amount and leaf demography) of ecosystems ...
Phenology is the study of the periodic biological events in the living world and of their relation w...
Vegetation phenology obtained from time series of remote sensing data is relevant for a range of eco...
The phenology of terrestrial vegetation, i.e., the timing of events such as bud burst, leaf developm...
This dataset contains the Enhanced Vegetation Index (EVI) data used in our research work about land ...
In order to study anomalies and trends of the land surface phenology for different vegetation types ...
Time series of vegetation indices (VIs) obtained by remote sensing are widely used to study phenolog...
Information on the timing of phenological events and their changes are critical parameters for quant...
M.S. University of Hawaii at Manoa 2013.Includes bibliographical references.Phenology, the study of ...
This work aims to evaluate the detection of phenological phases of vegetation based on phenometric p...
The monitoring of forest phenology based on observations from near-surface sensors such as Unmanned ...
Remote sensing studies of vegetation phenology increasingly benefit from freely available satellite ...
Dense time series of Landsat 8 and Sentinel-2 imagery are creating exciting new opportunities to mon...
Abstract Land surface phenology (LSP) products are currently of large uncertainties due to cloud con...
Phenometrics extracted from smoothed NDVI time-series (double logistic function) for Canary Islands:...
Abstract The leaf phenology (i.e. the seasonality of leaf amount and leaf demography) of ecosystems ...
Phenology is the study of the periodic biological events in the living world and of their relation w...
Vegetation phenology obtained from time series of remote sensing data is relevant for a range of eco...
The phenology of terrestrial vegetation, i.e., the timing of events such as bud burst, leaf developm...
This dataset contains the Enhanced Vegetation Index (EVI) data used in our research work about land ...
In order to study anomalies and trends of the land surface phenology for different vegetation types ...
Time series of vegetation indices (VIs) obtained by remote sensing are widely used to study phenolog...
Information on the timing of phenological events and their changes are critical parameters for quant...
M.S. University of Hawaii at Manoa 2013.Includes bibliographical references.Phenology, the study of ...
This work aims to evaluate the detection of phenological phases of vegetation based on phenometric p...
The monitoring of forest phenology based on observations from near-surface sensors such as Unmanned ...