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
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JVL_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HNC_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HQV_2018-03-11_final.stac-item
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54HTE_2018-03-11_final.stac-item
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HPV_2018-03-11_final.stac-item
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HNB_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LWN_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KVC_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KVV_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KWV_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KXA_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KWU_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KUC_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KXC_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HPD_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KXG_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HPE_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53JQF_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JUQ_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KXE_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54HUK_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JUN_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JTL_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LVH_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LWH_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54HUJ_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LVJ_2018-03-11_final.stac-item
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KUE_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LYH_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KVD_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54HUH_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JTM_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HPC_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54JTR_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KWF_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LWJ_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KVF_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53JRN_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KVA_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KXV_2018-03-11_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54KWA_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KNA_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KMU_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KMC_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KNC_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KMV_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JLN_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JLQ_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JLM_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JKR_2018-03-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50JKM_2018-03-11_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_54HYE_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HBV_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HDV_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_54HXE_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HCV_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JDF_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JEF_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KET_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KEP_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HDB_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HDC_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFT_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFR_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HCS_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JFH_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFB_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JCK_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_54HWC_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JCH_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JBF_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HCD_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55LHC_2018-03-12_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55LGC_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HCC_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55JBG_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_54HXC_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HBT_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HBS_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_54HYC_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HCT_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55HDD_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFP_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KER_2018-03-12_final
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_55KFQ_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55GCQ_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55GBQ_2018-03-12_final.stac-item
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_54GYV_2018-03-12_final.stac-item
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_54GYA_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55GCR_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55GBR_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55GCP_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55HBS_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55HCS_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_54HWC_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_54HXC_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_55HBT_2018-03-12_final
2018-03-12 09:57:25	ga_s2bm_ard_3-2-1_54HYC_2018-03-12_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