Search ga_s2bm_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-08-17 11:46:54	ga_s2bm_ard_3-2-1_50HPJ_2019-08-17_final.stac-item
2019-08-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2019-08-17_final.stac-item
2019-11-08 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2019-11-08_final.stac-item
2019-11-08 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-11-08_final.stac-item
2019-11-08 11:53:31	ga_s2bm_ard_3-2-1_50KQB_2019-11-08_final.stac-item
2019-11-08 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2019-11-08_final.stac-item
2019-11-08 11:53:46	ga_s2bm_ard_3-2-1_50KQA_2019-11-08_final.stac-item
2019-11-08 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2019-11-08_final.stac-item
2019-11-08 11:54:00	ga_s2bm_ard_3-2-1_50KQV_2019-11-08_final.stac-item
2019-11-08 11:54:04	ga_s2bm_ard_3-2-1_50KPV_2019-11-08_final.stac-item
2019-11-08 11:54:18	ga_s2bm_ard_3-2-1_50KPU_2019-11-08_final.stac-item
2019-11-08 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2019-11-08_final.stac-item
2019-11-18 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2019-11-18_final.stac-item
2019-11-18 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2019-11-18_final.stac-item
2019-11-18 11:53:30	ga_s2bm_ard_3-2-1_50KQB_2019-11-18_final.stac-item
2019-11-18 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2019-11-18_final.stac-item
2019-11-18 11:53:44	ga_s2bm_ard_3-2-1_50KQA_2019-11-18_final.stac-item
2019-11-18 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2019-11-18_final.stac-item
2019-11-18 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2019-11-18_final.stac-item
2019-11-18 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2019-11-18_final.stac-item
2019-11-18 11:54:17	ga_s2bm_ard_3-2-1_50KPU_2019-11-18_final.stac-item
2019-11-18 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2019-11-18_final.stac-item
2020-12-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2020-12-06_final.stac-item
2021-10-15 11:44:07	ga_s2bm_ard_3-2-1_50KQV_2021-10-15_final.stac-item
2021-10-15 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2021-10-15_final.stac-item
2021-10-15 11:44:24	ga_s2bm_ard_3-2-1_50KPU_2021-10-15_final.stac-item
2021-10-15 11:44:39	ga_s2bm_ard_3-2-1_50JPT_2021-10-15_final.stac-item
2021-10-15 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2021-10-15_final.stac-item
2021-10-15 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2021-10-15_final.stac-item
2021-10-15 11:45:22	ga_s2bm_ard_3-2-1_50JPQ_2021-10-15_final.stac-item
2021-10-15 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2021-10-15_final.stac-item
2021-10-15 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-10-15_final.stac-item
2021-10-15 11:46:01	ga_s2bm_ard_3-2-1_50JPM_2021-10-15_final.stac-item
2021-10-15 11:46:08	ga_s2bm_ard_3-2-1_50JPM_2021-10-15_final.stac-item
2021-10-15 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2021-10-15_final.stac-item
2021-10-25 11:44:07	ga_s2bm_ard_3-2-1_50KQV_2021-10-25_final.stac-item
2021-10-25 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2021-10-25_final.stac-item
2021-10-25 11:44:25	ga_s2bm_ard_3-2-1_50KPU_2021-10-25_final.stac-item
2021-10-25 11:44:39	ga_s2bm_ard_3-2-1_50JPT_2021-10-25_final.stac-item
2021-10-25 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2021-10-25_final.stac-item
2021-10-25 11:45:08	ga_s2bm_ard_3-2-1_50JPR_2021-10-25_final.stac-item
2021-10-25 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2021-10-25_final.stac-item
2021-10-25 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2021-10-25_final.stac-item
2021-10-25 11:45:52	ga_s2bm_ard_3-2-1_50JPN_2021-10-25_final.stac-item
2021-10-25 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2021-10-25_final.stac-item
2021-10-25 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-10-25_final.stac-item
2021-10-25 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-10-25_final.stac-item
2021-10-25 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-10-25_final.stac-item
2021-10-25 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-10-25_final.stac-item
2021-10-25 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-10-25_final
2024-05-05 11:52:50	ga_s2bm_ard_3-2-1_50KPE_2024-05-05_nrt
2024-05-05 11:52:56	ga_s2bm_ard_3-2-1_50KPE_2024-05-05_nrt
2024-05-09 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2024-05-09_final
2024-05-09 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2024-05-09_final
2024-05-09 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2024-05-09_final
2024-05-09 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-05-09_final
2024-05-09 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2024-05-09_final
2024-05-09 11:37:31	ga_s2bm_ard_3-2-1_50HPF_2024-05-09_nrt
2024-05-12 11:44:06	ga_s2bm_ard_3-2-1_50KQV_2024-05-12_final
2024-05-12 11:44:10	ga_s2bm_ard_3-2-1_50KPV_2024-05-12_final
2024-05-12 11:44:23	ga_s2bm_ard_3-2-1_50KPU_2024-05-12_final
2024-05-12 11:44:38	ga_s2bm_ard_3-2-1_50JPT_2024-05-12_final
2024-05-12 11:44:53	ga_s2bm_ard_3-2-1_50JPS_2024-05-12_final
2024-05-12 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2024-05-12_final
2024-05-12 11:45:21	ga_s2bm_ard_3-2-1_50JPQ_2024-05-12_final
2024-05-12 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2024-05-12_final
2024-05-12 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2024-05-12_final
2024-05-12 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2024-05-12_final
2024-05-12 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2024-05-12_final
2024-05-12 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-05-12_final
2024-05-12 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-05-12_final
2024-05-12 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-05-12_final
2024-05-12 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2024-05-12_final
2024-05-15 11:51:06	ga_s2bm_ard_3-2-1_50LQM_2024-05-15_nrt
2024-05-15 11:51:20	ga_s2bm_ard_3-2-1_50LQL_2024-05-15_nrt
2024-05-15 11:51:35	ga_s2bm_ard_3-2-1_50LQK_2024-05-15_nrt
2024-05-15 11:51:49	ga_s2bm_ard_3-2-1_50LQJ_2024-05-15_nrt
2024-05-15 11:51:52	ga_s2bm_ard_3-2-1_50LPJ_2024-05-15_nrt
2024-05-15 11:52:04	ga_s2bm_ard_3-2-1_50LQH_2024-05-15_nrt
2024-05-15 11:52:07	ga_s2bm_ard_3-2-1_50LPH_2024-05-15_nrt
2024-05-15 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-05-15_final
2024-05-15 11:52:22	ga_s2bm_ard_3-2-1_50KPG_2024-05-15_nrt
2024-05-15 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2024-05-15_final
2024-05-15 11:52:36	ga_s2bm_ard_3-2-1_50KPF_2024-05-15_final
2024-05-15 11:52:47	ga_s2bm_ard_3-2-1_50KQE_2024-05-15_final
2024-05-15 11:52:51	ga_s2bm_ard_3-2-1_50KPE_2024-05-15_nrt
2024-05-15 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2024-05-15_final
2024-05-15 11:53:05	ga_s2bm_ard_3-2-1_50KPD_2024-05-15_final
2024-05-15 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-05-15_final
2024-05-15 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2024-05-15_final
2024-05-15 11:53:30	ga_s2bm_ard_3-2-1_50KQB_2024-05-15_final
2024-05-15 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2024-05-15_final
2024-05-15 11:53:38	ga_s2bm_ard_3-2-1_50KQB_2024-05-15_final
2024-05-15 11:53:38	ga_s2bm_ard_3-2-1_50KQA_2024-05-15_final
2024-05-15 11:53:39	ga_s2bm_ard_3-2-1_50KPA_2024-05-15_final
2024-05-15 11:53:39	ga_s2bm_ard_3-2-1_50KPB_2024-05-15_final
2024-05-15 11:53:45	ga_s2bm_ard_3-2-1_50KQA_2024-05-15_final
2024-05-15 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2024-05-15_final
2024-05-15 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2024-05-15_final
2024-05-15 11:54:03	ga_s2bm_ard_3-2-1_50KPV_2024-05-15_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years