I am a graduate student doing a statistical project on wildfires. The data is being sourced from https://earthdata.nasa.gov/learn/pathfi ... pathfinder .The datasets I am looking at are for Vegetation Greenness, Precipitation, Land Surface Temperature, Soil Moisture, Topography, and Winds. But inorder to run them through anaylsis in R I need to have them be CSV files instead of hdf or netcdf. Is there any way to get the data as a csv for a certain area, for example North America, for a certain variable?
Take a look at the Application for Extracting and Exploring Analysis Ready Samples (AρρEEARS) (https://lpdaacsvc.cr.usgs.gov/appeears/). AρρEEARS gives you the ability to access multiple data products and subset geospatial datasets using spatial, temporal, and band/layer parameters. Many of the variables you mention are available in AρρEEARS (e.g., Vegetation Greenness, Precipitation, Land Surface Temperature, Soil Moisture, and Elevation). Depending on what you are doing, you can extract data for “point samples” or “area samples”. The point samples request will produce a csv file containing data for each coordinate pair (latitude/longitude) for each variable and time slice submitted to the system. An area sample request will extract geospatial data variables for a region of interest, or multiple regions of interest, for each time slice. This returns a GeoTIFF or netCDF4 file that would then need to be transformed to a csv file after downloading from AρρEEARS.
Here is the Help Guide to get you started AρρEEARS: https://lpdaacsvc.cr.usgs.gov/appeears/help