topic Difference mosaic Dataset and CRF in Data Management Questions

Difference mosaic Dataset and CRF

A_n_d_r_e_a — Sun, 11 Apr 2021 07:30:28 GMT

Dear Community,

ive got a understanding problem. What ist the difference between a mosaic dataset and a CRF file.

I`ve got air pollution data with one variable over a time dimension of two years for every month.

I dont know which to choose. Mosaic or CRF?

Any proposals?

Thanks forward!

Greetings,

Andrea

Re: Difference mosaic Dataset and CRF

DanPatterson — Sun, 11 Apr 2021 08:58:49 GMT

Mosaic datasets—ArcGIS Pro | Documentation

Multidimensional raster data—ArcGIS Pro | Documentation

If your data is multidimensional, why not the latter?

Re: Difference mosaic Dataset and CRF

A_n_d_r_e_a — Sun, 11 Apr 2021 09:07:20 GMT

Hey Dan,

because i`ve got some datasets with time profiles an I want to put them together...thats why i thought mosaic or CRF fits better...or what do you think?

Thanks forward!

Greetings,

Andrea

Re: Difference mosaic Dataset and CRF

JayantaPoddar — Sun, 11 Apr 2021 11:28:04 GMT

If you have same type or dimension of data (all layers showing either Temperature or LULC or Wind speed, etc.) for different time and same area: Use Mosaic Dataset

If you have data where different layer is showing different dimension (one layer for temperature, another layer for wind speed, another layer for precipitation, etc.) for different time and same area: Use Multidimensional Data

I`ve got air pollution data with one variable over a time dimension of two years for every month.

Mosaic Dataset looks appropriate since the values of Raster depict only one variable.

Re: Difference mosaic Dataset and CRF

A_n_d_r_e_a — Sun, 11 Apr 2021 12:50:33 GMT

Hey Jayanta,

Ok, thanks for your Answer. And what is with the CRF fileformat?

Greetings,

Andrea

Re: Difference mosaic Dataset and CRF

JayantaPoddar — Sun, 11 Apr 2021 13:51:48 GMT

CRF is Multidimentional Cloud Raster Format. If you want to map multiple variables of Air Pollution over a period of time, you may go with CRF, since those datasets are expected to be huge and complex.