Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KGS_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JDL_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JEL_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KGR_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KDQ_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KDS_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KER_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KFS_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JGN_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KES_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JFM_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JEK_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JDK_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KDR_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JDJ_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55JEJ_2018-10-18_final
2018-10-18 09:50:51	ga_s2bm_ard_3-2-1_55KFA_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JCF_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HBS_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_54HYB_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HCS_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55GCP_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HDE_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HBB_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JDF_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JEF_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_54HYG_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HDB_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JDG_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JEG_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HEE_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JEK_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_54HXF_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HCA_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HBA_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_54HXE_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_54HYE_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JDJ_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55JEJ_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HCV_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HDV_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55GCQ_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HBD_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HDC_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_54GYV_2018-10-18_final.stac-item
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HDA_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_54GYA_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55GCR_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55GBR_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55HBV_2018-10-18_final
2018-10-18 09:54:31	ga_s2bm_ard_3-2-1_55GBQ_2018-10-18_final.stac-item
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51LWE_2018-10-18_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51KYV_2018-10-18_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51LZE_2018-10-18_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51KXA_2018-10-18_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51KVA_2018-10-18_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51KWA_2018-10-18_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51KXV_2018-10-18_final
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_51LXC_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXR_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51JWL_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KYV_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51JVL_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWR_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVR_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51JWK_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51JVK_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51JTN_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KVA_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXV_2018-10-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51JWJ_2018-10-18_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51JVF_2018-10-18_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51JUF_2018-10-18_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HQG_2018-10-18_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HTB_2018-10-18_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HVE_2018-10-18_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50JPL_2018-10-18_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HNG_2018-10-18_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51JVG_2018-10-18_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HQJ_2018-10-18_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_51HTD_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JLL_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JML_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JNL_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JNR_2018-10-18_final.stac-item
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JNM_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56HKG_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JMM_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56HMK_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JNQ_2018-10-18_final.stac-item
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JMQ_2018-10-18_final
2018-10-19 09:22:41	ga_s2bm_ard_3-2-1_56JMP_2018-10-18_final
2018-10-19 09:26:25	ga_s2bm_ard_3-2-1_55GEP_2018-10-18_final
2018-10-19 09:26:25	ga_s2bm_ard_3-2-1_55GFP_2018-10-18_final
2018-10-19 09:26:25	ga_s2bm_ard_3-2-1_55HFS_2018-10-18_final.stac-item
2018-10-19 09:26:25	ga_s2bm_ard_3-2-1_56HKG_2018-10-18_final
2018-10-19 09:26:25	ga_s2bm_ard_3-2-1_55GFR_2018-10-18_final
2018-10-19 09:26:25	ga_s2bm_ard_3-2-1_55GFQ_2018-10-18_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years