Phenological Classification of the United States: A Geographic Framework for Extending Multi-Sensor Time-Series Data
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Mapping forest fuels through vegetation phenology: the role of coarse-resolution satellite time-seriesThe integration of geophysical and enhanced Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index data into a rule-based, piecewise regression-tree model to estimate cheatgrass beginning of spring growthModelling fire occurrence at regional scale: does vegetation phenology matter?An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed DataApplication-Ready Expedited MODIS Data for Operational Land Surface Monitoring of Vegetation ConditionInvestigation on the Patterns of Global Vegetation Change Using a Satellite-Sensed Vegetation Index
P2860
Phenological Classification of the United States: A Geographic Framework for Extending Multi-Sensor Time-Series Data
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wetenschappelijk artikel
@nl
наукова стаття, опублікована в лютому 2010
@uk
name
Phenological Classification of ...... Multi-Sensor Time-Series Data
@en
Phenological Classification of ...... Multi-Sensor Time-Series Data
@nl
type
label
Phenological Classification of ...... Multi-Sensor Time-Series Data
@en
Phenological Classification of ...... Multi-Sensor Time-Series Data
@nl
prefLabel
Phenological Classification of ...... Multi-Sensor Time-Series Data
@en
Phenological Classification of ...... Multi-Sensor Time-Series Data
@nl
P2860
P50
P356
P1433
P1476
Phenological Classification of ...... Multi-Sensor Time-Series Data
@en
P2093
Tomoaki Miura
P2860
P304
P356
10.3390/RS2020526
P577
2010-02-11T00:00:00Z