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
2021-01-01 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2021-01-01_final.stac-item
2021-01-04 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-01-04_final.stac-item
2021-01-04 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2021-01-04_final.stac-item
2021-01-04 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-01-04_final.stac-item
2021-01-04 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2021-01-04_final.stac-item
2021-01-05 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-01-05_final.stac-item
2021-01-08 11:46:22	ga_s2bm_ard_3-2-1_50HQK_2021-01-08_final.stac-item
2021-01-08 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2021-01-08_final.stac-item
2021-01-08 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-01-08_final.stac-item
2021-01-08 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-01-08_final.stac-item
2021-01-11 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-01-11_final.stac-item
2021-01-11 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-01-11_final.stac-item
2021-01-11 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-01-11_final.stac-item
2021-01-11 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-01-11_final.stac-item
2021-01-14 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-14_final.stac-item
2021-01-14 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-01-14_final.stac-item
2021-01-14 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-01-14_final.stac-item
2021-01-14 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-01-14_final.stac-item
2021-01-14 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-01-14_final.stac-item
2021-01-17 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2021-01-17_final.stac-item
2021-01-18 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2021-01-18_final.stac-item
2021-01-18 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2021-01-18_final.stac-item
2021-01-21 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-01-21_final.stac-item
2021-01-21 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-01-21_final.stac-item
2021-01-21 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-01-21_final.stac-item
2021-01-21 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-01-21 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-01-24 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-24_final.stac-item
2021-01-24 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-01-24_final.stac-item
2021-01-24 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-01-24_final.stac-item
2021-01-24 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-01-24_final.stac-item
2021-01-24 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-01-24_final.stac-item
2021-01-24 12:06:17	ga_s2bm_ard_3-2-1_50JKM_2021-01-24_final.stac-item
2021-01-25 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2021-01-25_final.stac-item
2021-01-28 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2021-01-28_final.stac-item
2021-01-28 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-01-28_final.stac-item
2021-01-31 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-01-31_final.stac-item
2021-01-31 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-01-31_final.stac-item
2021-01-31 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-01-31_final.stac-item
2021-02-03 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-02-03_final.stac-item
2021-02-03 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2021-02-03_final.stac-item
2021-02-03 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-02-03_final.stac-item
2021-02-03 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-02-03_final.stac-item
2021-02-03 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-02-03_final.stac-item
2021-02-03 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-02-03_final.stac-item
2021-02-03 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-02-03_final.stac-item
2021-02-04 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-02-04_final.stac-item
2021-02-06 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-02-06_final.stac-item
2021-02-06 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-02-06_final.stac-item
2021-02-06 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-02-06_final.stac-item
2021-02-07 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-02-07_final.stac-item
2021-02-07 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-02-07_final.stac-item
2021-02-10 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-02-10_final.stac-item
2021-02-10 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-02-10_final.stac-item
2021-02-10 11:56:13	ga_s2bm_ard_3-2-1_50JKM_2021-02-10_final.stac-item
2021-02-10 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-02-10_final.stac-item
2021-02-13 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-13_final.stac-item
2021-02-13 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-02-13_final.stac-item
2021-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-13_final.stac-item
2021-02-13 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2021-02-13_final.stac-item
2021-02-13 12:05:32	ga_s2bm_ard_3-2-1_50JKP_2021-02-13_final.stac-item
2021-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-02-13_final.stac-item
2021-02-13 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-02-13_final.stac-item
2021-02-13 12:05:58	ga_s2bm_ard_3-2-1_50JKM_2021-02-13_final.stac-item
2021-02-13 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2021-02-13_final.stac-item
2021-02-14 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2021-02-14_final.stac-item
2021-02-14 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-02-14_final.stac-item
2021-02-16 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2021-02-16_final.stac-item
2021-02-16 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-02-16_final.stac-item
2021-02-16 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-02-16_final.stac-item
2021-02-17 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2021-02-17_final.stac-item
2021-02-17 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2021-02-17_final.stac-item
2021-02-20 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2021-02-20_final.stac-item
2021-02-20 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2021-02-20_final.stac-item
2021-02-20 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2021-02-20_final.stac-item
2021-02-23 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-23_final.stac-item
2021-02-23 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-02-23_final.stac-item
2021-02-23 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-23_final.stac-item
2021-02-23 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2021-02-23_final.stac-item
2021-02-23 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-02-23_final.stac-item
2021-02-23 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-02-23_final.stac-item
2021-02-24 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2021-02-24_final.stac-item
2021-02-24 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2021-02-24_final.stac-item
2021-02-26 12:13:44	ga_s2bm_ard_3-2-1_49KHR_2021-02-26_final.stac-item
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2021-02-26_final.stac-item
2021-02-26 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2021-02-26_final.stac-item
2021-02-26 12:14:30	ga_s2bm_ard_3-2-1_49JGN_2021-02-26_final.stac-item
2021-02-27 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-02-27_final.stac-item
2021-02-27 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2021-02-27_final.stac-item
2021-02-27 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-27_final.stac-item
2021-04-21 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2021-04-21_final.stac-item
2021-06-10 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-10_final.stac-item
2021-06-13 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-06-13_final.stac-item
2021-06-13 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-06-13_final.stac-item
2021-06-20 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-20_final.stac-item
2021-06-30 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-06-30_final.stac-item
2022-01-03 11:46:19	ga_s2bm_ard_3-2-1_50HQK_2022-01-03_final.stac-item
2022-01-13 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2022-01-13_final.stac-item
2022-01-13 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2022-01-13_final.stac-item
2022-01-20 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2022-01-20_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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