I hope to produce a time-series for sea surface temperature (SST) and chlorophyll-a (Chl-a) for use in MaxEnt without the use of arcgis, preferring Python tools to others. I am new to satellite data processing, and there appears to be quite a lot to consider.
What must be taken into account for merging SeaWiFS and MODIS datasets (e.g. discrepancies between the data, projections, etc.)?
Are there other products available that provide such merged data that are generally recommended?
I have found the following:
Ultimately I need all of the data gridded to the same grid size/area, so I would to write a script where I could acquire the data, re-project if necessary, re-sample to the grid if necessary, and then save to desired format (ESRI's ASCII .asc) for running in the model.