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_49JHN_2017-07-14_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JKS_2017-11-01_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JLQ_2017-12-28_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLT_2018-01-27_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JLS_2018-02-06_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQK_2018-02-10_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JMR_2018-02-26_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JMS_2018-02-26_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLR_2018-04-07_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50JKS_2018-05-10_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKR_2018-05-20_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KHP_2018-06-12_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHM_2018-07-09_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JLQ_2018-08-15_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKS_2018-10-17_final.stac-item
2018-11-16 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2018-11-16_final.stac-item
2018-11-26 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2018-11-26_final.stac-item
2019-03-19 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2019-03-19_final.stac-item
2019-03-30 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2019-03-30_final.stac-item
2019-04-02 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2019-04-02_final.stac-item
2019-04-05 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2019-04-05_final.stac-item
2019-04-25 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2019-04-25_final.stac-item
2019-05-22 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-05-22_final.stac-item
2019-05-22 11:55:47	ga_s2bm_ard_3-2-1_50JMP_2019-05-22_final.stac-item
2019-05-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-05-22_final.stac-item
2019-06-18 11:47:22	ga_s2bm_ard_3-2-1_50HLH_2019-06-18_final.stac-item
2019-07-11 11:55:04	ga_s2bm_ard_3-2-1_50JMS_2019-07-11_final.stac-item
2019-07-14 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2019-07-14_final.stac-item
2019-08-23 12:04:59	ga_s2bm_ard_3-2-1_50JLS_2019-08-23_final.stac-item
2019-09-12 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2019-09-12_final.stac-item
2019-09-15 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final.stac-item
2019-10-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-10-15_final.stac-item
2019-10-19 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2019-10-19_final.stac-item
2019-11-08 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2019-11-08_final.stac-item
2019-11-08 11:56:42	ga_s2bm_ard_3-2-1_50HMJ_2019-11-08_final.stac-item
2019-11-21 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2019-11-21_final.stac-item
2019-12-08 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2019-12-08_final.stac-item
2019-12-12 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2019-12-12_final.stac-item
2020-01-03 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-01-03_final.stac-item
2020-03-24 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2020-03-24_final.stac-item
2020-04-26 11:55:34	ga_s2bm_ard_3-2-1_50JMP_2020-04-26_final.stac-item
2020-06-15 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2020-06-15_final.stac-item
2020-06-25 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2020-06-25_final.stac-item
2020-07-05 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2020-07-05_final.stac-item
2020-07-12 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-07-12_final.stac-item
2020-07-22 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-07-22_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 11:55:46	ga_s2bm_ard_3-2-1_50JNN_2020-12-12_final.stac-item
2021-01-31 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2021-01-31_final.stac-item
2021-02-23 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2021-02-23_final.stac-item
2021-03-29 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2021-03-29_final.stac-item
2021-04-21 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2021-04-21_final.stac-item
2021-04-24 12:04:13	ga_s2bm_ard_3-2-1_49KGQ_2021-04-24_final.stac-item
2021-05-01 11:55:45	ga_s2bm_ard_3-2-1_50JNN_2021-05-01_final.stac-item
2021-05-01 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-05-01_final.stac-item
2021-05-14 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2021-05-14_final.stac-item
2021-07-03 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2021-07-03_final
2021-07-17 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2021-07-17_final.stac-item
2021-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2021-07-17_final.stac-item
2021-07-20 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2021-07-20_final.stac-item
2021-08-12 12:04:54	ga_s2bm_ard_3-2-1_50JLS_2021-08-12_final.stac-item
2021-08-19 11:55:12	ga_s2bm_ard_3-2-1_50JLR_2021-08-19_final.stac-item
2021-09-18 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2021-09-18_final.stac-item
2021-09-21 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-09-21_final
2021-11-10 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-11-10_final
2021-11-10 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2021-11-10_final.stac-item
2021-11-24 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2021-11-24_final.stac-item
2021-12-20 12:05:03	ga_s2bm_ard_3-2-1_49JFM_2021-12-20_final.stac-item
2021-12-23 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2021-12-23_final.stac-item
2022-01-23 11:45:49	ga_s2bm_ard_3-2-1_50JNN_2022-01-23_final.stac-item
2022-02-25 11:56:42	ga_s2bm_ard_3-2-1_50HLJ_2022-02-25_final.stac-item
2022-03-14 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2022-03-14_final.stac-item
2022-03-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-03-20_final.stac-item
2022-03-24 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2022-03-24_final.stac-item
2022-04-06 11:54:41	ga_s2bm_ard_3-2-1_50JLT_2022-04-06_final.stac-item
2022-04-06 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2022-04-06_final.stac-item
2022-04-29 12:04:50	ga_s2bm_ard_3-2-1_50JKS_2022-04-29_final.stac-item
2022-08-11 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2022-08-11_final.stac-item
2022-08-14 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2022-08-14_final.stac-item
2022-09-06 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2022-09-06_final.stac-item
2022-09-16 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2022-09-16_final.stac-item
2022-09-26 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2022-09-26_final.stac-item
2022-11-02 11:55:17	ga_s2bm_ard_3-2-1_50JLQ_2022-11-02_final.stac-item
2022-12-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-12-25_final.stac-item
2023-01-31 11:55:47	ga_s2bm_ard_3-2-1_50JNN_2023-01-31_final.stac-item
2023-02-04 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-02-04_final
2023-04-08 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-04-08_final
2023-05-04 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2023-05-04_final
2023-05-31 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2023-05-31_final
2023-06-03 12:04:58	ga_s2bm_ard_3-2-1_50JLS_2023-06-03_final
2023-07-06 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-07-06_final
2023-07-23 12:05:03	ga_s2bm_ard_3-2-1_49JHM_2023-07-23_final
2023-08-06 11:45:59	ga_s2bm_ard_3-2-1_50JNN_2023-08-06_final
2023-08-15 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-15_final
2023-09-04 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-09-04_final
2023-09-21 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2023-09-21_final
2023-10-01 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-10-01_final
2023-10-24 12:14:18	ga_s2bm_ard_3-2-1_49KHQ_2023-10-24_final
2023-12-10 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2023-12-10_final
2023-12-27 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2023-12-27_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

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