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
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_53HQC_2017-07-04_final.stac-item
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JQM_2017-07-07_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWR_2017-11-22_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVS_2017-12-05_final.stac-item
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JNF_2017-12-14_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51JUN_2017-12-15_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KXU_2017-12-19_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KZS_2017-12-19_final.stac-item
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53JNN_2018-01-26_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-06-09_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HPJ_2018-06-13_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUT_2018-10-31_final.stac-item
2018-11-07 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2018-11-07_final.stac-item
2018-11-17 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2018-11-17_final.stac-item
2018-11-24 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2018-11-24_final.stac-item
2018-11-27 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2018-11-27_final.stac-item
2018-12-02 10:44:12	ga_s2bm_ard_3-2-1_53JPM_2018-12-02_final.stac-item
2018-12-07 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2018-12-07_final.stac-item
2018-12-10 11:43:30	ga_s2bm_ard_3-2-1_51KVR_2018-12-10_final.stac-item
2018-12-15 10:55:35	ga_s2bm_ard_3-2-1_53JKG_2018-12-15_final.stac-item
2018-12-17 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2018-12-17_final.stac-item
2018-12-20 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2018-12-20_final.stac-item
2018-12-20 11:44:19	ga_s2bm_ard_3-2-1_51KTP_2018-12-20_final.stac-item
2018-12-21 11:13:49	ga_s2bm_ard_3-2-1_51KZQ_2018-12-21_final.stac-item
2018-12-24 11:22:56	ga_s2bm_ard_3-2-1_51KXU_2018-12-24_final.stac-item
2018-12-27 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2018-12-27_final.stac-item
2019-01-06 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2019-01-06_final.stac-item
2019-01-09 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2019-01-09_final.stac-item
2019-01-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-01-16_final.stac-item
2019-01-19 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-01-19_final.stac-item
2019-01-19 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2019-01-19_final.stac-item
2019-01-26 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2019-01-26_final.stac-item
2019-02-15 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-02-15_final.stac-item
2019-03-29 10:34:20	ga_s2bm_ard_3-2-1_53JQM_2019-03-29_final.stac-item
2019-06-18 11:42:53	ga_s2bm_ard_3-2-1_51KUV_2019-06-18_final.stac-item
2019-06-30 10:44:15	ga_s2bm_ard_3-2-1_53JNN_2019-06-30_final.stac-item
2019-07-28 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2019-07-28_final.stac-item
2019-09-05 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2019-09-05_final.stac-item
2019-11-12 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-11-12_final.stac-item
2019-11-22 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2019-11-22_final.stac-item
2019-11-25 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2019-11-25_final.stac-item
2019-12-05 11:43:09	ga_s2bm_ard_3-2-1_51KUT_2019-12-05_final.stac-item
2020-01-11 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2020-01-11_final.stac-item
2020-01-31 11:33:45	ga_s2bm_ard_3-2-1_51KXQ_2020-01-31_final.stac-item
2020-06-09 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2020-06-09_final.stac-item
2020-06-24 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2020-06-24_final.stac-item
2020-07-18 10:24:41	ga_s2bm_ard_3-2-1_53JQL_2020-07-18_final.stac-item
2020-07-31 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2020-07-31_final.stac-item
2020-10-27 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2020-10-27_final.stac-item
2020-11-09 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2020-11-09_final.stac-item
2020-11-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2020-11-26_final.stac-item
2020-12-06 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2020-12-06_final.stac-item
2020-12-16 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2020-12-16_final.stac-item
2020-12-22 10:16:48	ga_s2bm_ard_3-2-1_53HQB_2020-12-22_final.stac-item
2020-12-26 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2020-12-26_final.stac-item
2020-12-29 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2020-12-29_final.stac-item
2021-01-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-01-18_final.stac-item
2021-01-28 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-01-28_final.stac-item
2021-02-13 10:26:34	ga_s2bm_ard_3-2-1_53HPC_2021-02-13_final.stac-item
2021-03-06 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2021-03-06_final.stac-item
2021-03-22 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2021-03-22_final.stac-item
2021-08-05 10:36:11	ga_s2bm_ard_3-2-1_53HME_2021-08-05_final.stac-item
2021-08-08 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2021-08-08_final.stac-item
2021-09-14 10:34:29	ga_s2bm_ard_3-2-1_53JQL_2021-09-14_final.stac-item
2021-10-05 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2021-10-05_final.stac-item
2021-10-22 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2021-10-22_final.stac-item
2021-10-24 10:34:05	ga_s2bm_ard_3-2-1_53JQN_2021-10-24_final.stac-item
2021-11-13 10:36:49	ga_s2bm_ard_3-2-1_53HNB_2021-11-13_final.stac-item
2021-11-14 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2021-11-14_final.stac-item
2021-11-24 11:44:04	ga_s2bm_ard_3-2-1_50KRU_2021-11-24_final.stac-item
2022-01-07 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2022-01-07_final.stac-item
2022-01-10 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2022-01-10_final.stac-item
2022-01-11 11:00:26	ga_s2bm_ard_3-2-1_52LHN_2022-01-11_final.stac-item
2022-01-20 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2022-01-20_final.stac-item
2022-02-06 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2022-02-06_final.stac-item
2022-02-21 10:34:32	ga_s2bm_ard_3-2-1_53JPL_2022-02-21_final.stac-item
2022-02-22 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-22_final.stac-item
2022-04-12 10:34:15	ga_s2bm_ard_3-2-1_53JQM_2022-04-12_final.stac-item
2022-07-11 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2022-07-11_final.stac-item
2022-08-31 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2022-08-31_final.stac-item
2022-10-09 10:34:02	ga_s2bm_ard_3-2-1_53JQN_2022-10-09_final.stac-item
2022-10-13 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-10-13_final.stac-item
2022-10-17 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2022-10-17_final.stac-item
2022-11-09 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2022-11-09_final.stac-item
2022-11-29 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2022-11-29_final.stac-item
2022-12-20 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2022-12-20_final.stac-item
2022-12-26 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2022-12-26_final.stac-item
2022-12-26 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-12-26_final.stac-item
2022-12-29 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-12-29_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-02-04 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2023-02-04_final.stac-item
2023-04-15 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2023-04-15_final
2023-05-30 10:44:10	ga_s2bm_ard_3-2-1_53JNN_2023-05-30_final
2023-07-13 10:24:20	ga_s2bm_ard_3-2-1_53JRM_2023-07-13_final
2023-07-23 10:24:46	ga_s2bm_ard_3-2-1_53JQL_2023-07-23_final
2023-12-11 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2023-12-11_final
2023-12-11 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-12-11_final
2023-12-31 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-12-31_final
2024-01-12 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2024-01-12_final
2024-03-15 10:44:14	ga_s2bm_ard_3-2-1_53JPM_2024-03-15_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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