Closed Ohm-Np closed 2 years ago
Hi Om. Great. We will need all data for all years. I will have to come up with a concept still on how to aggregate the values afterwards but for the moment I would suggest you just create mean values for all weeks. Please also store at least some of the input data. I would like to look at it afterwards.
Please find the results here:
"../../datalake/mapme.protectedareas/output/polygon/drought_indicator/gws_supportedPAs.csv"
"../../datalake/mapme.protectedareas/output/polygon/drought_indicator/gws_allPAs.csv"
and the original rasters here:
"../../datalake/mapme.protectedareas/input/drought_indicator/"
I have added a new column called date
to read the data easily, sample result:-
WDPA_PID date name value
6675 2003-02-03 mean_percentile 86.57270
478068 2003-02-03 mean_percentile 43.94059
478085 2003-02-03 mean_percentile 96.69246
478089 2003-02-03 mean_percentile 63.06751
478101 2003-02-03 mean_percentile 51.89230
478130 2003-02-03 mean_percentile 69.02441
Dataset:
percentile
describes current wet or dry conditions showing the probability of occurrence - with lower values meaning dryer than normal, and higher values meaning wetter than normalI already created function (API connecting to nasagrace) to download these rasters. Of which time period you need the data @Jo-Schie? Should I download all or may be yearly by choosing specific dates of the year?
Note: Size of one raster file is ~900 kb