I have a question with regard to SMAP processing. I have been evaluating the Level 2 product (SMAP-Sentinel-1 L2 Radar/Radiometer 30-Second Scene 3km EASE-Grid Soil Moisture V003) and I was curious; given the variables embedded within the product, and in this case I’m evaluating the soil_moisture_1km and disagg_soil_moisture_1km variables, is it possible to visualize this in ArcGIS? I’ve attempted to do this already in ArcMap and ArcGIS Pro through workspace/file mosaicking and subsequent raster input/variable selections for the 510+ HDF5 files I have for the current spatiotemporal resolution/coverage (with associated statistics calculated as well), but to no avail. The only output generated from this process is a number of footprints, a boundary, and one image with an ambiguous color scheme. Ultimately, I’d like to add these 510+ HDF5 files and associated soil moisture content in ArcGIS and observe the time series within the spatial region (already subsetted from EarthData). Additionally, I’ve utilized MATLAB and Python to extract these soil moisture arrays from each file and that works to generate a time series plot, but that workflow is still a work in progress. What am I missing? Any insight, guidance, and expertise would be much appreciated, as I've utilized NSIDC tools/SMAP processing notebooks/documentation again to no avail. Thanks!
PS. I've attached one file to provide an example of the dataset I am working with (505 files in total, with a spatial coverage of 1050km2 and a temporal resolution from 2016-present).
For spatio-temporal visualization I have python code in this repo that may be useful (https://github.com/edwardoughton/np4d). This is essentially two steps though. Extracting data from the layers you have on soil moisture (I like to use rasterio in python with a set of boundaries held in a geopandas dataframe). And then plotting the area over some temporal dimension (look at how I do it hourly in that repo, you just need a loop). Once you have all the images, you just stich them together in a gif. This isn't easy to show in a publication though, so you need to made a decision between 'eye candy' and producing a great graphic for a static paper.
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