[Smart_Monitoring] Add time-dependent data arrays as catalog layer

For the smart monitoring workflow, it is important to import the time-dependent raster data for the ROI into the frontend. The suggestion is to use “add new layer” and “catalog layer” to import We should focus on the layers which are relevant for our proposed weighting scheme:

Layer Name	Layer Abbreviation	Function call in backend module	Time Range	Temporal Resolution	Description	Attributes
Day Surface Temperatur	LST_Day_1km	modis_products(modis_product="MOD11A2.006", server='https://e4ftl01.cr.usgs.gov', product_parameters=['LST_Day_1km'], scale=[0.02])	2000-02-18 to present	8 days	Average 8-day Daytime Land Surface Temperature [K]	MODIS- Moderate Resolution Imaging Spectroradiometer, National Aeronautics and Space Administration, USA
Soil moisture	SM_0	mhmsoilmoist()	(present - 13days) to present	daily	Plant Available Water in up to 25cm depth [%nFK]	Dürremonitor Deutschland, Helmholtz Zentrum für Umweltforschung
Precipitation of last 7 days	p_7_acc	radorecent(time_res='daily'), I will add a function to sum up daily values to the backend module	(present - 7days) to present	daily	,7-days daily acuumulate of rainfall [mm]	Deutscher Wetterdienst
future Precipitation	Precip	weatherprediction(nwp_model='cosmo-d2', parameter='tot_prec’) ) ), I will add a function to the backend module to sum up values	Present to (present +27 hours)	3 hours	Accumulated Future Precipitation [mm]	Deutscher Wetterdienst
Future Solar Radiation (COSMO)	ASWDIR_S	weatherprediction(nwp_model='cosmo-d2', parameter= ‘aswdir_s’), I will add function to get average vales	Present to (present +27hours)	3 hours	Direct solar radiation at the land surface [W/m²]	Deutscher Wetterdienst
Future Soil Temperature (COSMO)	t_s	weatherprediction(nwp_model='cosmo-d2', parameter= ‘t_s’) , I will add function to get average vales	Present to (present +27hours)	3 hours	soil temperature in [°C]	Deutscher Wetterdienst
Future Wind Speed (COSMO)	wind	weatherprediction(nwp_model='cosmo-d2', parameter= ‘u_10m’)	Present to (present +27hours)	3 hours	wind speed at 10m above surface in u-direction[m/s]	Deutscher Wetterdienst
future Precipitation (ICON-EU	Precip	weatherprediction(nwp_model='icon-eu', parameter='tot_prec’) ) ), I will add a function to the backend module to sum up values	Present to (present +180 hours)	1/3 hours	Accumulated Future Precipitation [mm]	Deutscher Wetterdienst
Future Solar Radiation (ICON-EU)	ASWDIR_S	weatherprediction(nwp_model='icon-eu', parameter= ‘aswdir_s’), I will add function to get average vales	Present to (present +180hours)	1/3 hours	Direct solar radiation at the land surface [W/m²]	Deutscher Wetterdienst
Future Soil Temperature (ICON-EU)	t_so	weatherprediction(nwp_model='icon-eu', parameter= ‘t_so’) , I will add function to get average vales	Present to (present +180hours)	1/3 hours	soil temperature in [°C]	Deutscher Wetterdienst
Future Wind Speed (ICON-EU)	wind	weatherprediction(nwp_model='icon-eu', parameter= ‘u_10m’), I will add function to get average vales	Present to (present +180hours)	3 hours	wind speed at 10m above surface in u-direction[m/s]	Deutscher Wetterdienst