I recently noticed the SeaDAS python script fd_matchup.py which led me to the Earthdata CMR search API. The following collection search for OB.DAAC L1/L2 datasets gives:
$ wget -q "https://cmr.earthdata.nasa.gov/search/collections.xml?page_size=2000&provider=OB_DAAC\
&processing_level_id=1&processing_level_id=2&pretty=true" -O - | grep name | sort
<name>CZCS_L1</name>
<name>CZCS_L2_OC</name>
<name>GOCI_L1</name>
<name>GOCI_L2_OC</name>
<name>HICO_L1</name>
<name>MERIS_L1_RR</name>
<name>MERIS_L2_IOP</name>
<name>MERIS_L2_OC</name>
<name>MODISA_L2_IOP</name>
<name>MODISA_L2_LAND</name>
<name>MODISA_L2_OC</name>
<name>MODISA_L2_SST</name>
<name>MODIST_L2_IOP</name>
<name>MODIST_L2_OC</name>
<name>MODIST_L2_SST</name>
<name>OCTS_L1</name>
<name>OCTS_L2_IOP</name>
<name>OCTS_L2_OC</name>
<name>S3A_OLCI_L1</name>
<name>SeaWiFS_L1</name>
<name>SeaWiFS_L2_IOP</name>
<name>SeaWiFS_L2_LAND</name>
<name>SeaWiFS_L2_OC</name>
<name>VIIRSN_L2_IOP</name>
<name>VIIRSN_L2_LAND</name>
<name>VIIRSN_L2_OC</name>
<name>VIIRSN_L2_SST</name>
I have two questions:
Are there plans to add the MODIS and VIIRS L1 metadata to the CMR?
At present there seems to be no way, on the collection level, to discriminate between full and reduced resolution MERIS, between full and reduced resolution OLCI, or between GAC and MLAC SeaWiFS. Are there plans to allow discrimination of these as separate collections? Or should I 'manually' discriminate by filtering the results of a granule search?
Sorry. I guess that was three questions... :eek: