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
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KXA_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KXB_2018-04-17_final.stac-item
2018-04-17 10:07:03	ga_s2bm_ard_3-2-1_54KXC_2018-04-17_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54KYE_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54KYF_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54KYG_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYH_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYJ_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYK_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYL_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYM_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYN_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYP_2018-04-20_final.stac-item
2018-04-20 10:17:04	ga_s2bm_ard_3-2-1_54LYQ_2018-04-20_final.stac-item
2019-07-04 10:19:50	ga_s2bm_ard_3-2-1_54LYQ_2019-07-04_final.stac-item
2019-07-04 10:20:04	ga_s2bm_ard_3-2-1_54LYP_2019-07-04_final.stac-item
2019-07-04 10:20:19	ga_s2bm_ard_3-2-1_54LYN_2019-07-04_final.stac-item
2019-07-04 10:20:33	ga_s2bm_ard_3-2-1_54LYM_2019-07-04_final.stac-item
2019-07-04 10:20:48	ga_s2bm_ard_3-2-1_54LYL_2019-07-04_final.stac-item
2019-07-04 10:21:02	ga_s2bm_ard_3-2-1_54LYK_2019-07-04_final.stac-item
2019-07-04 10:21:16	ga_s2bm_ard_3-2-1_54LYJ_2019-07-04_final.stac-item
2019-07-04 10:21:31	ga_s2bm_ard_3-2-1_54LYH_2019-07-04_final.stac-item
2019-07-04 10:21:46	ga_s2bm_ard_3-2-1_54KYG_2019-07-04_final.stac-item
2019-07-04 10:22:00	ga_s2bm_ard_3-2-1_54KYF_2019-07-04_final.stac-item
2019-07-04 10:22:12	ga_s2bm_ard_3-2-1_54KYE_2019-07-04_final.stac-item
2019-07-11 10:11:50	ga_s2bm_ard_3-2-1_54KYG_2019-07-11_final.stac-item
2019-07-11 10:11:59	ga_s2bm_ard_3-2-1_54KYF_2019-07-11_final.stac-item
2019-07-11 10:12:06	ga_s2bm_ard_3-2-1_54KYF_2019-07-11_final.stac-item
2019-07-11 10:12:19	ga_s2bm_ard_3-2-1_54KYE_2019-07-11_final.stac-item
2019-07-11 10:12:23	ga_s2bm_ard_3-2-1_54KXE_2019-07-11_final.stac-item
2019-07-11 10:12:34	ga_s2bm_ard_3-2-1_54KYD_2019-07-11_final.stac-item
2019-07-11 10:12:37	ga_s2bm_ard_3-2-1_54KXD_2019-07-11_final.stac-item
2019-07-11 10:12:48	ga_s2bm_ard_3-2-1_54KYC_2019-07-11_final.stac-item
2019-07-11 10:12:52	ga_s2bm_ard_3-2-1_54KXC_2019-07-11_final.stac-item
2019-07-11 10:13:03	ga_s2bm_ard_3-2-1_54KYB_2019-07-11_final.stac-item
2019-07-11 10:13:06	ga_s2bm_ard_3-2-1_54KXB_2019-07-11_final.stac-item
2019-07-11 10:13:17	ga_s2bm_ard_3-2-1_54KYA_2019-07-11_final.stac-item
2019-07-11 10:13:21	ga_s2bm_ard_3-2-1_54KXA_2019-07-11_final.stac-item
2019-07-11 10:13:32	ga_s2bm_ard_3-2-1_54KYV_2019-07-11_final.stac-item
2019-07-11 10:13:35	ga_s2bm_ard_3-2-1_54KXV_2019-07-11_final.stac-item
2019-07-11 10:13:46	ga_s2bm_ard_3-2-1_54KYU_2019-07-11_final.stac-item
2019-07-11 10:13:50	ga_s2bm_ard_3-2-1_54KXU_2019-07-11_final.stac-item
2019-07-11 10:14:00	ga_s2bm_ard_3-2-1_54JYT_2019-07-11_final.stac-item
2019-07-11 10:14:04	ga_s2bm_ard_3-2-1_54JXT_2019-07-11_final.stac-item
2019-07-11 10:14:15	ga_s2bm_ard_3-2-1_54JYS_2019-07-11_final.stac-item
2019-07-11 10:14:19	ga_s2bm_ard_3-2-1_54JXS_2019-07-11_final.stac-item
2019-07-11 10:14:33	ga_s2bm_ard_3-2-1_54JXR_2019-07-11_final.stac-item
2019-07-11 10:14:48	ga_s2bm_ard_3-2-1_54JXQ_2019-07-11_final.stac-item
2019-07-11 10:15:02	ga_s2bm_ard_3-2-1_54JXP_2019-07-11_final.stac-item
2019-07-11 10:15:16	ga_s2bm_ard_3-2-1_54JXN_2019-07-11_final.stac-item
2019-07-15 09:57:06	ga_s2bm_ard_3-2-1_54HXF_2019-07-15_final.stac-item
2019-07-15 09:57:20	ga_s2bm_ard_3-2-1_54HXE_2019-07-15_final.stac-item
2019-07-15 09:57:35	ga_s2bm_ard_3-2-1_54HXD_2019-07-15_final.stac-item
2019-07-15 09:57:49	ga_s2bm_ard_3-2-1_54HXC_2019-07-15_final.stac-item
2019-07-24 10:19:50	ga_s2bm_ard_3-2-1_54LYQ_2019-07-24_final.stac-item
2019-07-24 10:20:04	ga_s2bm_ard_3-2-1_54LYP_2019-07-24_final.stac-item
2019-07-24 10:20:19	ga_s2bm_ard_3-2-1_54LYN_2019-07-24_final.stac-item
2019-07-24 10:20:33	ga_s2bm_ard_3-2-1_54LYM_2019-07-24_final.stac-item
2019-07-24 10:20:48	ga_s2bm_ard_3-2-1_54LYL_2019-07-24_final.stac-item
2019-07-24 10:21:02	ga_s2bm_ard_3-2-1_54LYK_2019-07-24_final.stac-item
2019-07-24 10:21:16	ga_s2bm_ard_3-2-1_54LYJ_2019-07-24_final.stac-item
2019-07-24 10:21:31	ga_s2bm_ard_3-2-1_54LYH_2019-07-24_final.stac-item
2019-07-24 10:21:45	ga_s2bm_ard_3-2-1_54KYG_2019-07-24_final.stac-item
2019-07-24 10:22:00	ga_s2bm_ard_3-2-1_54KYF_2019-07-24_final.stac-item
2019-07-24 10:22:12	ga_s2bm_ard_3-2-1_54KYE_2019-07-24_final.stac-item
2019-07-25 09:57:06	ga_s2bm_ard_3-2-1_54HXF_2019-07-25_final.stac-item
2019-08-07 10:05:20	ga_s2bm_ard_3-2-1_54JXN_2019-08-07_final.stac-item
2019-08-07 10:05:34	ga_s2bm_ard_3-2-1_54JXM_2019-08-07_final.stac-item
2019-08-07 10:05:48	ga_s2bm_ard_3-2-1_54JXL_2019-08-07_final.stac-item
2019-08-07 10:06:03	ga_s2bm_ard_3-2-1_54HXK_2019-08-07_final.stac-item
2019-08-07 10:06:17	ga_s2bm_ard_3-2-1_54HXJ_2019-08-07_final.stac-item
2019-08-07 10:06:32	ga_s2bm_ard_3-2-1_54HXH_2019-08-07_final.stac-item
2019-08-07 10:06:46	ga_s2bm_ard_3-2-1_54HXG_2019-08-07_final.stac-item
2019-08-07 10:07:01	ga_s2bm_ard_3-2-1_54HXF_2019-08-07_final.stac-item
2019-08-07 10:07:15	ga_s2bm_ard_3-2-1_54HXE_2019-08-07_final.stac-item
2019-08-07 10:07:29	ga_s2bm_ard_3-2-1_54HXD_2019-08-07_final.stac-item
2019-08-07 10:07:44	ga_s2bm_ard_3-2-1_54HXC_2019-08-07_final.stac-item
2022-07-25 10:13:42	ga_s2bm_ard_3-2-1_54KYU_2022-07-25_final.stac-item
2022-07-25 10:13:46	ga_s2bm_ard_3-2-1_54KXU_2022-07-25_final.stac-item
2022-07-25 10:13:57	ga_s2bm_ard_3-2-1_54JYT_2022-07-25_final.stac-item
2022-07-25 10:14:01	ga_s2bm_ard_3-2-1_54JXT_2022-07-25_final.stac-item
2022-07-25 10:14:11	ga_s2bm_ard_3-2-1_54JYS_2022-07-25_final.stac-item
2022-07-25 10:14:15	ga_s2bm_ard_3-2-1_54JXS_2022-07-25_final.stac-item
2022-07-25 10:14:29	ga_s2bm_ard_3-2-1_54JXR_2022-07-25_final.stac-item
2022-07-25 10:14:41	ga_s2bm_ard_3-2-1_54JXQ_2022-07-25_final.stac-item
2022-07-25 10:14:48	ga_s2bm_ard_3-2-1_54JXQ_2022-07-25_final.stac-item
2022-07-25 10:14:58	ga_s2bm_ard_3-2-1_54JXP_2022-07-25_final.stac-item
2022-07-25 10:15:13	ga_s2bm_ard_3-2-1_54JXN_2022-07-25_final.stac-item
2022-08-04 10:11:46	ga_s2bm_ard_3-2-1_54KYG_2022-08-04_final.stac-item
2022-08-04 10:12:01	ga_s2bm_ard_3-2-1_54KYF_2022-08-04_final.stac-item
2022-08-04 10:12:15	ga_s2bm_ard_3-2-1_54KYE_2022-08-04_final.stac-item
2022-08-04 10:12:19	ga_s2bm_ard_3-2-1_54KXE_2022-08-04_final.stac-item
2022-08-04 10:12:30	ga_s2bm_ard_3-2-1_54KYD_2022-08-04_final.stac-item
2022-08-04 10:12:33	ga_s2bm_ard_3-2-1_54KXD_2022-08-04_final.stac-item
2022-08-04 10:12:44	ga_s2bm_ard_3-2-1_54KYC_2022-08-04_final.stac-item
2022-08-04 10:12:48	ga_s2bm_ard_3-2-1_54KXC_2022-08-04_final.stac-item
2022-08-04 10:12:59	ga_s2bm_ard_3-2-1_54KYB_2022-08-04_final.stac-item
2022-08-04 10:13:02	ga_s2bm_ard_3-2-1_54KXB_2022-08-04_final.stac-item
2022-08-04 10:13:13	ga_s2bm_ard_3-2-1_54KYA_2022-08-04_final.stac-item
2022-08-04 10:13:16	ga_s2bm_ard_3-2-1_54KXA_2022-08-04_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

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