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
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2018-04-27_final
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50KNB_2018-04-27_final
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50KMB_2018-04-27_final
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50JMT_2018-04-27_final
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50JNT_2018-04-27_final
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50KQB_2018-04-27_final
2018-04-27 11:53:35	ga_s2bm_ard_3-2-1_50JMR_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HMH_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HNK_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HMK_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JLL_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HLG_2018-04-27_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HMJ_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMM_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JKN_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JNM_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMN_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMP_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JNP_2018-04-27_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMR_2018-04-27_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KHS_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KHQ_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KLF_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KHP_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KHR_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JHN_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HDV_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HCV_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HEV_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HFV_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HDC_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HEC_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56KKG_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55KHB_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JDF_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_54HYB_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GCP_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GDP_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JEF_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GEP_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HGC_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HBS_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HCS_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GCM_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GDM_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HDE_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HEE_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HBU_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JFF_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HCA_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HFA_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HCB_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HDD_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HED_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GCN_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HDU_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HFU_2018-04-28_final.stac-item
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HFB_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HEU_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GDN_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56HKK_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HGE_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55HCU_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_56JKN_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JFL_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JEG_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JGH_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JGK_2018-04-28_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55JEJ_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KZQ_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KZP_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KZS_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52KCF_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KZR_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51JZN_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXS_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52KCB_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52LEL_2018-04-28_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KYB_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52KBG_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KZB_2018-04-28_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KYS_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HVC_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HWC_2018-04-28_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HTC_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HXC_2018-04-28_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HTB_2018-04-28_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HVE_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HWE_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JXF_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JUF_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HWB_2018-04-28_final.stac-item
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JWH_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HWD_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JXL_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JUG_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JWG_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JVG_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HVD_2018-04-28_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JVH_2018-04-28_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