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
2019-12-05 10:02:20	ga_s2bm_ard_3-2-1_55KBU_2019-12-05_final.stac-item
2019-12-05 10:02:34	ga_s2bm_ard_3-2-1_55KBT_2019-12-05_final.stac-item
2019-12-05 10:02:36	ga_s2bm_ard_3-2-1_54KZC_2019-12-05_final.stac-item
2019-12-05 10:02:48	ga_s2bm_ard_3-2-1_55KBS_2019-12-05_final.stac-item
2019-12-05 10:02:49	ga_s2bm_ard_3-2-1_54KZB_2019-12-05_final.stac-item
2019-12-05 10:03:03	ga_s2bm_ard_3-2-1_55KBR_2019-12-05_final.stac-item
2019-12-05 10:03:03	ga_s2bm_ard_3-2-1_54KZA_2019-12-05_final.stac-item
2019-12-05 10:03:18	ga_s2bm_ard_3-2-1_55KBQ_2019-12-05_final.stac-item
2019-12-05 10:03:18	ga_s2bm_ard_3-2-1_54KZV_2019-12-05_final.stac-item
2019-12-05 10:03:32	ga_s2bm_ard_3-2-1_55KBP_2019-12-05_final.stac-item
2019-12-05 10:03:32	ga_s2bm_ard_3-2-1_54KZU_2019-12-05_final.stac-item
2019-12-05 10:03:46	ga_s2bm_ard_3-2-1_54JZT_2019-12-05_final.stac-item
2019-12-05 10:03:47	ga_s2bm_ard_3-2-1_55JBN_2019-12-05_final.stac-item
2019-12-05 10:04:01	ga_s2bm_ard_3-2-1_54JZS_2019-12-05_final.stac-item
2019-12-05 10:04:01	ga_s2bm_ard_3-2-1_55JBM_2019-12-05_final.stac-item
2019-12-05 10:04:16	ga_s2bm_ard_3-2-1_55JBL_2019-12-05_final.stac-item
2019-12-05 10:04:31	ga_s2bm_ard_3-2-1_55JBK_2019-12-05_final.stac-item
2019-12-05 10:04:45	ga_s2bm_ard_3-2-1_55JBJ_2019-12-05_final.stac-item
2019-12-05 10:05:00	ga_s2bm_ard_3-2-1_55JBH_2019-12-05_final.stac-item
2019-12-05 10:05:14	ga_s2bm_ard_3-2-1_55JBG_2019-12-05_final.stac-item
2019-12-25 10:02:37	ga_s2bm_ard_3-2-1_54KZC_2019-12-25_final.stac-item
2019-12-25 10:02:49	ga_s2bm_ard_3-2-1_55KBS_2019-12-25_final.stac-item
2019-12-25 10:02:50	ga_s2bm_ard_3-2-1_54KZB_2019-12-25_final.stac-item
2019-12-25 10:03:04	ga_s2bm_ard_3-2-1_55KBR_2019-12-25_final.stac-item
2019-12-25 10:03:04	ga_s2bm_ard_3-2-1_54KZA_2019-12-25_final.stac-item
2019-12-25 10:03:19	ga_s2bm_ard_3-2-1_55KBQ_2019-12-25_final.stac-item
2019-12-25 10:03:19	ga_s2bm_ard_3-2-1_54KZV_2019-12-25_final.stac-item
2019-12-25 10:03:33	ga_s2bm_ard_3-2-1_55KBP_2019-12-25_final.stac-item
2019-12-25 10:03:33	ga_s2bm_ard_3-2-1_54KZU_2019-12-25_final.stac-item
2019-12-25 10:03:48	ga_s2bm_ard_3-2-1_54JZT_2019-12-25_final.stac-item
2019-12-25 10:03:48	ga_s2bm_ard_3-2-1_55JBN_2019-12-25_final.stac-item
2019-12-25 10:04:02	ga_s2bm_ard_3-2-1_54JZS_2019-12-25_final.stac-item
2019-12-25 10:04:02	ga_s2bm_ard_3-2-1_55JBM_2019-12-25_final.stac-item
2019-12-25 10:04:17	ga_s2bm_ard_3-2-1_55JBL_2019-12-25_final.stac-item
2019-12-25 10:04:32	ga_s2bm_ard_3-2-1_55JBK_2019-12-25_final.stac-item
2019-12-25 10:04:46	ga_s2bm_ard_3-2-1_55JBJ_2019-12-25_final.stac-item
2019-12-25 10:05:01	ga_s2bm_ard_3-2-1_55JBH_2019-12-25_final.stac-item
2020-04-27 09:48:44	ga_s2bm_ard_3-2-1_55GCN_2020-04-27_final.stac-item
2020-04-27 09:48:55	ga_s2bm_ard_3-2-1_55GCM_2020-04-27_final
2020-05-07 09:48:46	ga_s2bm_ard_3-2-1_55GCN_2020-05-07_final.stac-item
2020-05-07 09:48:59	ga_s2bm_ard_3-2-1_55GCM_2020-05-07_final
2021-02-04 09:55:50	ga_s2bm_ard_3-2-1_55HCE_2021-02-04_final.stac-item
2021-02-04 09:55:53	ga_s2bm_ard_3-2-1_55HBE_2021-02-04_final.stac-item
2021-02-04 09:56:04	ga_s2bm_ard_3-2-1_55HCD_2021-02-04_final.stac-item
2021-02-04 09:56:08	ga_s2bm_ard_3-2-1_55HBD_2021-02-04_final.stac-item
2021-02-04 09:56:19	ga_s2bm_ard_3-2-1_55HCC_2021-02-04_final.stac-item
2021-02-04 09:56:22	ga_s2bm_ard_3-2-1_55HBC_2021-02-04_final.stac-item
2021-02-04 09:56:33	ga_s2bm_ard_3-2-1_55HCB_2021-02-04_final.stac-item
2021-02-04 09:56:37	ga_s2bm_ard_3-2-1_55HBB_2021-02-04_final.stac-item
2021-02-04 09:56:48	ga_s2bm_ard_3-2-1_55HCA_2021-02-04_final.stac-item
2021-02-04 09:56:51	ga_s2bm_ard_3-2-1_55HBA_2021-02-04_final.stac-item
2021-02-04 09:57:02	ga_s2bm_ard_3-2-1_55HCV_2021-02-04_final.stac-item
2021-02-04 09:57:17	ga_s2bm_ard_3-2-1_55HCU_2021-02-04_final.stac-item
2021-02-04 09:57:32	ga_s2bm_ard_3-2-1_55HCT_2021-02-04_final.stac-item
2021-02-04 09:57:46	ga_s2bm_ard_3-2-1_55HCS_2021-02-04_final.stac-item
2021-02-04 09:58:00	ga_s2bm_ard_3-2-1_55GCR_2021-02-04_final.stac-item
2021-02-04 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2021-02-04_final.stac-item
2021-03-29 10:02:38	ga_s2bm_ard_3-2-1_55KBT_2021-03-29_final.stac-item
2021-03-29 10:02:40	ga_s2bm_ard_3-2-1_54KZC_2021-03-29_final.stac-item
2021-03-29 10:02:53	ga_s2bm_ard_3-2-1_55KBS_2021-03-29_final.stac-item
2021-03-29 10:02:53	ga_s2bm_ard_3-2-1_54KZB_2021-03-29_final.stac-item
2021-03-29 10:03:08	ga_s2bm_ard_3-2-1_55KBR_2021-03-29_final.stac-item
2021-03-29 10:03:08	ga_s2bm_ard_3-2-1_54KZA_2021-03-29_final.stac-item
2021-03-29 10:03:22	ga_s2bm_ard_3-2-1_55KBQ_2021-03-29_final.stac-item
2021-03-29 10:03:22	ga_s2bm_ard_3-2-1_54KZV_2021-03-29_final.stac-item
2021-03-29 10:03:37	ga_s2bm_ard_3-2-1_55KBP_2021-03-29_final.stac-item
2021-03-29 10:03:37	ga_s2bm_ard_3-2-1_54KZU_2021-03-29_final.stac-item
2021-03-29 10:03:51	ga_s2bm_ard_3-2-1_54JZT_2021-03-29_final.stac-item
2021-03-29 10:03:51	ga_s2bm_ard_3-2-1_55JBN_2021-03-29_final.stac-item
2021-03-29 10:04:06	ga_s2bm_ard_3-2-1_54JZS_2021-03-29_final.stac-item
2021-03-29 10:04:06	ga_s2bm_ard_3-2-1_55JBM_2021-03-29_final.stac-item
2021-03-29 10:04:20	ga_s2bm_ard_3-2-1_55JBL_2021-03-29_final.stac-item
2021-03-29 10:04:35	ga_s2bm_ard_3-2-1_55JBK_2021-03-29_final.stac-item
2021-03-29 10:04:50	ga_s2bm_ard_3-2-1_55JBJ_2021-03-29_final.stac-item
2021-03-29 10:05:04	ga_s2bm_ard_3-2-1_55JBH_2021-03-29_final.stac-item
2021-04-01 10:10:52	ga_s2bm_ard_3-2-1_55LBE_2021-04-01_final.stac-item
2021-04-01 10:11:06	ga_s2bm_ard_3-2-1_55LBD_2021-04-01_final.stac-item
2021-04-01 10:11:21	ga_s2bm_ard_3-2-1_55LBC_2021-04-01_final.stac-item
2021-04-01 10:11:35	ga_s2bm_ard_3-2-1_55KBB_2021-04-01_final.stac-item
2021-04-01 10:11:50	ga_s2bm_ard_3-2-1_55KBA_2021-04-01_final.stac-item
2021-04-01 10:12:04	ga_s2bm_ard_3-2-1_55KBV_2021-04-01_final.stac-item
2021-04-01 10:12:05	ga_s2bm_ard_3-2-1_54KZE_2021-04-01_final.stac-item
2021-04-01 10:12:19	ga_s2bm_ard_3-2-1_55KBU_2021-04-01_final.stac-item
2021-04-01 10:12:20	ga_s2bm_ard_3-2-1_54KZD_2021-04-01_final.stac-item
2021-04-01 10:12:33	ga_s2bm_ard_3-2-1_55KBT_2021-04-01_final.stac-item
2021-04-01 10:12:34	ga_s2bm_ard_3-2-1_54KZC_2021-04-01_final.stac-item
2021-04-01 10:12:48	ga_s2bm_ard_3-2-1_55KBS_2021-04-01_final.stac-item
2021-04-01 10:12:48	ga_s2bm_ard_3-2-1_54KZB_2021-04-01_final.stac-item
2021-04-08 10:04:04	ga_s2bm_ard_3-2-1_54JZS_2021-04-08_final.stac-item
2021-04-08 10:04:05	ga_s2bm_ard_3-2-1_55JBM_2021-04-08_final.stac-item
2021-04-08 10:04:19	ga_s2bm_ard_3-2-1_55JBL_2021-04-08_final.stac-item
2021-04-08 10:04:34	ga_s2bm_ard_3-2-1_55JBK_2021-04-08_final.stac-item
2021-04-08 10:04:48	ga_s2bm_ard_3-2-1_55JBJ_2021-04-08_final.stac-item
2021-04-08 10:05:03	ga_s2bm_ard_3-2-1_55JBH_2021-04-08_final.stac-item
2021-04-08 10:05:17	ga_s2bm_ard_3-2-1_55JBG_2021-04-08_final.stac-item
2021-04-08 10:05:32	ga_s2bm_ard_3-2-1_55JBF_2021-04-08_final.stac-item
2021-04-08 10:05:46	ga_s2bm_ard_3-2-1_55HBE_2021-04-08_final.stac-item
2021-09-02 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2021-09-02_final.stac-item
2021-09-02 09:55:21	ga_s2bm_ard_3-2-1_55JBG_2021-09-02_final.stac-item
2021-09-02 09:55:32	ga_s2bm_ard_3-2-1_55JCF_2021-09-02_final.stac-item

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