Source:
National Ecological Observatory Network (NEON)
NEONDataSkills self-paced tutorial series are sets of data themed self-paced tutorials that can be worked through on your own time.
A series of data tutorials that teach you how to open, plot and perform basic calculations on raster data in R. It also covers key spatial attributes associated with raster data include extent, projection and resolution. Finally we cover dealing with missing and bad data when working with remote sensing imagery.
Total tutorials: 0The data tutorials in this series cover how to open, work with and plot with vector-format spatial data (points, lines and polygons) in R. Additional, topics include working with spatial metadata (extent and coordinate reference system), working with spatial attributes and plotting data by attributes.
Total tutorials: 0The tutorials in this series cover how to open, work with and plot with phenology-related micrometeorological data in R. Additional topics include working with time and date classes (e.g., POSIXct, POSIXlt, and Date), subsetting time series data by date and time and created facetted or tiles sets of plots. NOTE: These lessons will be published SOON!
Total tutorials: 0The tutorials in this series cover how to open, work with and plot with multi-band raster data and raster time series data in R using both plot and rasterVis levelPlot.
Total tutorials: 0This series covers core data literacy concepts needed to work with spatial data in both a gui and non gui environment. These lessons are currently under development.
Total tutorials: 0In this series we cover what a HDF5 format is, and how to open, read, create HDF5 files in R. We also cover extracting and plotting data from HDF5 files.
Total tutorials: 0In this series we cover the basics of lidar data including 3 key lidar data products - the Canopy Height Model, Digital Surface Model (DSM) and the Digital Terrain Model (DTM). We explore lidar point clouds using the free, online 3d point cloud viewer. Finally, we cover working with LiDAR derived rasters in R.
Total tutorials: 0In this series, we cover the basics of working with NEON hyperspectral remote sensing data. We cover the principles of hyperspectral data, how to open hyperspectral data stored in HDF5 format in R and how to extract bands and create rasters in GeoTiff format. Finally we explore extracting a hyperspectral - spectral signature from one pixel using R
Total tutorials: 0