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
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55HBD_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JXM_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCH_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HYG_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55HBB_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCJ_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HYF_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JXP_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JBM_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55HBA_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HXH_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55KBT_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JBF_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55HCE_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCG_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HXF_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HYJ_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JBJ_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCL_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HVH_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JXR_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HWH_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JYL_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55HBE_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55KCR_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55KDQ_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55KBU_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55KBS_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JXQ_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55JCK_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HXK_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55KDT_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54KZC_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55KDP_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55KCT_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JYN_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HYD_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HYE_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_55HBV_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HXE_2018-01-24_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HYH_2018-01-24_final
2018-01-24 10:06:59	ga_s2bm_ard_3-2-1_54HYE_2018-01-24_final
2018-01-24 10:06:59	ga_s2bm_ard_3-2-1_54HXE_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JTF_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPH_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPN_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPM_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JTM_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50KQC_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KTT_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLH_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPP_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KTU_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JNP_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JTJ_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLG_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPG_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HNH_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMH_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JNN_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JQL_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUR_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50KQD_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50JPQ_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HPK_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KTS_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50KRD_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51LWG_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51LVG_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50KRC_2018-01-24_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51LUD_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HQH_2018-01-24_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56HKJ_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56HLH_2018-01-25_final.stac-item
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HFC_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56JKL_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55JGF_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HFA_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HDS_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HGB_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56HKG_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56JLP_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56JKS_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HGA_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56JLM_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HES_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56HKF_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HGD_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HFB_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56HLG_2018-01-25_final.stac-item
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56JKP_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55JGJ_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55HFS_2018-01-25_final.stac-item
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56KLA_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56JLQ_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56KMU_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_56JLR_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55GEQ_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55GFQ_2018-01-25_final
2018-01-25 09:32:33	ga_s2bm_ard_3-2-1_55GER_2018-01-25_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