Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery

Keyphrases

• Multiple Spatial Scales 100%
• Remote Sensing 100%
• Phenology 100%
• Deciduous Forest 100%
• PhenoCam 100%
• Forest Phenology 100%
• Late Spring 66%
• Visual Assessment 66%
• Satellite Remote Sensing 66%
• Statistical Uncertainty 66%
• Sensing Metric 66%
• Forest Site 33%
• Plant Phenology 33%
• Eastern North America 33%
• Ecosystem Services 33%
• Global Change 33%
• Forest Cover 33%
• Vegetation Index 33%
• Normalized Difference Vegetation Index 33%
• Curve Fitting 33%
• Landscape Heterogeneity 33%
• Biologically Relevant 33%
• Moderate Resolution Imaging Spectroradiometer (MODIS) 33%
• Canopy Phenology 33%
• Enhanced Vegetation Index 33%
• Digital Image Analysis 33%
• Landscape Metrics 33%
• Surface Time 33%
• Spring Phenology 33%
• Late Fall 33%
• Temperate Deciduous Forest 33%
• Advanced Very High Resolution Radiometer (AVHRR) 33%
• Leaf-out 33%
• Digital Repeat Photography 33%
• Phenological Metrics 33%
• Sensor-based 33%
• Index Selection 33%
• Generalized Sigmoid Function 33%
• Curve Fitting Method 33%
• Fitting Index 33%

Earth and Planetary Sciences

• Remote Sensing 100%
• Time Series 100%
• Deciduous Forest 100%
• Near-Surface Geology 75%
• Vegetation Index 50%
• Satellite Remote Sensing 50%
• North America 25%
• Ecosystem Service 25%
• Forest Cover 25%
• Global Change 25%
• Normalized Difference Vegetation Index 25%
• MODIS 25%
• Image Analysis 25%
• Landscape Metrics 25%
• Advanced Very High Resolution Radiometer 25%