There are a total of four dimensions in the file: 'lat', 'lon', 'time', and 'nv'. 10th, 2015įrom this output we see that there are two variables: 'time_bnds', which contains the start and end date of each observation, and 'NDVI', which is the variable of interest. # history: Converted to CF-netCDF v4 at Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) on Feb. Vegetation productivity patterns at high northern latitudes: a multi-sensor satellite data assessment. # institution: Woods Hole Research Center # title: Mean Normalized Difference Vegetation Index in growing season (June, July, and August) # long_name: Mean Normalized Difference Vegetation Index in growing season (June, July, and August) # standard_name: normalized_difference_vegetation_index # double NDVI (Chunking: ) (Compression: level 4) # double time_bnds (Chunking: ) (Compression: level 4) # 2 variables (excluding dimension variables): Print the metadata about the file to a text file. Use the nc_open function to read the data into a data structure named nc_data.

The data are circumpolar in coverage at 8-kilometer resolution and limited to greater than 20 degrees North.

The NDVI data, which show vegetation activity, were averaged annually for the arctic growing season (June, July, and August) in each year. This dataset provides normalized difference vegetation index (NDVI) data for the Arctic growing season derived primarily with data from Advanced Very High Resolution Radiometer (AVHRR) sensors on board several NOAA satellites over the years 1982 through 2012. (2015) titled 'Long-Term Arctic Growing Season NDVI Trends from GIMMS 3g, 1982-2012.' Specifically, we will use the file 'gimms3g_ndvi_1982-2012.nc4.' As an example, we will use data on trends in vegetation greenness in the Arctic created by Guay et al. Load Dataįirst, we need some data to manipulate. For package details try help() (e.g., help('raster')), and to view the necessary arguments of a function try args() (e.g., args(cover)).

Working with net cdf files in r