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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_50JLQ_2017-07-14_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JLT_2017-07-24_final.stac-item
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_50JLQ_2017-08-03_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50JLQ_2017-10-12_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JLQ_2017-12-11_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMK_2018-01-07_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLQ_2018-01-27_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JLS_2018-02-09_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HMK_2018-02-13_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49JHM_2018-05-10_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50JLT_2018-05-10_final.stac-item
2018-05-13 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-05-13_final.stac-item
2018-05-17 11:49:25	ga_s2bm_ard_3-2-1_50JLQ_2018-05-17_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JLQ_2018-05-20_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JLR_2018-06-09_final.stac-item
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-06-22_final.stac-item
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KHP_2018-06-22_final.stac-item
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-07-12_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JLQ_2018-07-29_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HMJ_2018-08-12_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKS_2018-09-07_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JLQ_2018-10-17_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KHP_2018-10-30_final.stac-item
2018-11-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2018-11-10_final.stac-item
2018-11-26 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2018-11-26_final.stac-item
2019-01-15 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2019-01-15_final.stac-item
2019-02-11 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-02-11_final.stac-item
2019-03-16 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2019-03-16_final.stac-item
2019-04-08 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2019-04-08_final.stac-item
2019-04-25 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2019-04-25_final.stac-item
2019-05-05 12:05:31	ga_s2bm_ard_3-2-1_50JLQ_2019-05-05_final.stac-item
2019-05-12 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-05-12_final.stac-item
2019-05-22 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-05-22_final.stac-item
2019-07-14 12:04:27	ga_s2bm_ard_3-2-1_49KGQ_2019-07-14_final.stac-item
2019-07-14 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2019-07-14_final.stac-item
2019-08-13 12:05:18	ga_s2bm_ard_3-2-1_50JKR_2019-08-13_final.stac-item
2019-08-30 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2019-08-30_final.stac-item
2019-12-18 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2019-12-18_final.stac-item
2020-01-01 11:36:40	ga_s2bm_ard_3-2-1_50HPJ_2020-01-01_final.stac-item
2020-02-16 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2020-02-16_final.stac-item
2020-04-12 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2020-04-12_final.stac-item
2020-05-09 12:05:19	ga_s2bm_ard_3-2-1_50JKQ_2020-05-09_final.stac-item
2020-07-08 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2020-07-08_final.stac-item
2020-07-11 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2020-07-11_final.stac-item
2020-07-28 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2020-07-28_final.stac-item
2020-10-13 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2020-10-13_final.stac-item
2020-11-15 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2020-11-15_final.stac-item
2020-12-12 11:54:41	ga_s2bm_ard_3-2-1_50JLT_2020-12-12_final.stac-item
2021-01-08 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-01-08_final.stac-item
2021-01-14 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2021-01-14_final.stac-item
2021-01-31 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-01-31_final.stac-item
2021-02-27 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2021-02-27_final
2021-03-09 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2021-03-09_final.stac-item
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_49KHQ_2021-04-04_final.stac-item
2021-04-18 11:46:36	ga_s2bm_ard_3-2-1_50HMK_2021-04-18_final.stac-item
2021-04-24 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-04-24_final
2021-04-28 11:46:49	ga_s2bm_ard_3-2-1_50HQH_2021-04-28_final.stac-item
2021-05-01 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2021-05-01_final.stac-item
2021-05-01 11:55:23	ga_s2bm_ard_3-2-1_50JLQ_2021-05-01_final.stac-item
2021-05-21 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2021-05-21_final.stac-item
2021-06-13 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-06-13_final.stac-item
2021-06-17 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-06-17_final.stac-item
2021-06-27 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2021-06-27_final.stac-item
2021-08-02 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-08-02_final
2021-08-05 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2021-08-05_final
2021-09-11 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2021-09-11_final.stac-item
2021-11-21 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2021-11-21_final
2021-11-23 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2021-11-23_final.stac-item
2021-12-10 12:05:06	ga_s2bm_ard_3-2-1_50JKR_2021-12-10_final.stac-item
2021-12-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2021-12-13_final.stac-item
2021-12-17 11:55:06	ga_s2bm_ard_3-2-1_50JLR_2021-12-17_final.stac-item
2021-12-20 12:03:39	ga_s2bm_ard_3-2-1_49KHS_2021-12-20_final
2022-01-02 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-01-02_final.stac-item
2022-01-12 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-01-12_final.stac-item
2022-01-26 11:55:07	ga_s2bm_ard_3-2-1_50JLR_2022-01-26_final.stac-item
2022-02-25 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2022-02-25_final.stac-item
2022-03-14 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-03-14_final.stac-item
2022-03-17 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2022-03-17_final.stac-item
2022-04-06 11:55:35	ga_s2bm_ard_3-2-1_50JMP_2022-04-06_final.stac-item
2022-04-12 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2022-04-12_final.stac-item
2022-06-25 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-06-25_final.stac-item
2022-08-14 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2022-08-14_final.stac-item
2022-09-26 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2022-09-26_final.stac-item
2022-10-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-10-10_final.stac-item
2022-10-23 11:55:27	ga_s2bm_ard_3-2-1_50JLQ_2022-10-23_final.stac-item
2022-12-25 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2022-12-25_final.stac-item
2023-01-04 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2023-01-04_final.stac-item
2023-01-04 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2023-01-04_final.stac-item
2023-01-04 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2023-01-04_final.stac-item
2023-01-17 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2023-01-17_final.stac-item
2023-01-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2023-01-27_final.stac-item
2023-01-31 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2023-01-31_final.stac-item
2023-04-04 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2023-04-04_final
2023-05-07 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-05-07_final
2023-05-17 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2023-05-17_final
2023-05-21 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-05-21_final
2023-06-03 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-03_final
2023-08-02 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2023-08-02_final
2023-09-01 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-09-01_final
2023-09-18 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2023-09-18_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