‘LandsatTS': an R package to facilitate retrieval, cleaning, cross-calibration, and phenological modeling of Landsat time series data

Keyphrases

• Spectral Indices 100%
• Landsat Time Series 100%
• Phenological Modelling 100%
• Calibration Modeling 100%
• Cross-calibration 100%
• Ecosystem Function 66%
• Terrestrial Ecosystems 66%
• Series Analysis 66%
• Vegetation Greenness 66%
• Data Cleaning 66%
• Surface Reflectance 66%
• Sensor Calibration 66%
• Landsat Satellite Data 66%
• Sampling Methods 33%
• Annual Maxima 33%
• Northern Alaska 33%
• Global-local 33%
• Point Sampling 33%
• Landsat 5 33%
• Sampling Location 33%
• Normalized Difference Vegetation Index 33%
• Multidecadal 33%
• Reflectance Measurement 33%
• Interannual Change 33%
• Geographic Extent 33%
• Landsat Sensors 33%
• Vegetation Productivity 33%
• Google Earth Engine 33%
• Landsat 8 33%
• Landsat 7 33%
• Reflectance Index 33%
• Landsat Satellite 33%
• Cloud-free 33%
• Irregular Timing 33%
• Noatak National Preserve 33%
• Data Access 33%

Earth and Planetary Sciences

• Time Series 100%
• Landsat 100%
• Landsat Satellite 100%
• Vegetation 66%
• Ecosystem Function 66%
• Terrestrial Ecosystem 66%
• Satellite Data 66%
• Time Series Analysis 66%
• Surface Reflectance 66%
• Sensor Calibration 66%
• United States of America 33%
• Alaska 33%
• Landsat 7 33%
• Landsat 5 33%
• Normalized Difference Vegetation Index 33%
• Google Earth Engine 33%
• Landsat 8 33%