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
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JGQ_2017-08-02_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGK_2017-09-02_final.stac-item
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JPM_2017-11-04_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53HPD_2017-11-11_final.stac-item
2018-03-03 11:05:35	ga_s2bm_ard_3-2-1_52JCL_2018-03-03_final.stac-item
2018-03-03 11:05:35	ga_s2bm_ard_3-2-1_52JEM_2018-03-03_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKM_2018-03-08_final.stac-item
2018-03-14 10:27:00	ga_s2bm_ard_3-2-1_53JMJ_2018-03-14_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KYU_2018-04-01_final.stac-item
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53KNP_2018-04-16_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KMA_2018-06-06_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KPB_2018-06-06_final.stac-item
2018-06-12 10:33:10	ga_s2bm_ard_3-2-1_53JQM_2018-06-12_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KVB_2018-07-30_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51HXD_2018-08-23_final.stac-item
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53KNP_2018-09-13_final.stac-item
2018-10-31 10:03:09	ga_s2bm_ard_3-2-1_54HWD_2018-10-31_final.stac-item
2018-11-16 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2018-11-16_final.stac-item
2018-11-20 10:07:19	ga_s2bm_ard_3-2-1_54HXD_2018-11-20_final.stac-item
2019-03-03 11:54:56	ga_s2bm_ard_3-2-1_50JLS_2019-03-03_final.stac-item
2019-07-04 12:05:33	ga_s2bm_ard_3-2-1_50JLQ_2019-07-04_final.stac-item
2019-12-01 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2019-12-01_final.stac-item
2020-01-03 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2020-01-03_final.stac-item
2020-01-04 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2020-01-04_final.stac-item
2020-02-08 10:51:56	ga_s2bm_ard_3-2-1_53KKB_2020-02-08_final.stac-item
2020-03-04 10:06:26	ga_s2bm_ard_3-2-1_54HWH_2020-03-04_final.stac-item
2020-03-26 10:41:06	ga_s2bm_ard_3-2-1_53LPE_2020-03-26_final.stac-item
2020-04-01 11:03:43	ga_s2bm_ard_3-2-1_52KFV_2020-04-01_final.stac-item
2020-04-08 10:51:17	ga_s2bm_ard_3-2-1_53LND_2020-04-08_final.stac-item
2020-06-21 10:36:31	ga_s2bm_ard_3-2-1_53HLD_2020-06-21_final.stac-item
2020-07-12 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2020-07-12_final.stac-item
2020-07-21 10:34:20	ga_s2bm_ard_3-2-1_53JQM_2020-07-21_final.stac-item
2020-08-20 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2020-08-20_final.stac-item
2020-09-09 10:34:02	ga_s2bm_ard_3-2-1_53JRN_2020-09-09_final.stac-item
2020-11-11 10:44:14	ga_s2bm_ard_3-2-1_53JNM_2020-11-11_final.stac-item
2020-11-29 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2020-11-29_final.stac-item
2020-11-29 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2020-11-29_final.stac-item
2021-01-03 10:55:48	ga_s2bm_ard_3-2-1_52JEM_2021-01-03_final.stac-item
2021-01-15 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2021-01-15_final.stac-item
2021-01-17 10:34:14	ga_s2bm_ard_3-2-1_53JRM_2021-01-17_final.stac-item
2021-02-12 10:51:42	ga_s2bm_ard_3-2-1_53LLC_2021-02-12_final.stac-item
2021-02-18 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2021-02-18_final.stac-item
2021-02-19 10:42:48	ga_s2bm_ard_3-2-1_53KNT_2021-02-19_final.stac-item
2021-03-21 10:45:07	ga_s2bm_ard_3-2-1_53JMJ_2021-03-21_final.stac-item
2021-04-08 11:46:02	ga_s2bm_ard_3-2-1_50JQM_2021-04-08_final.stac-item
2021-05-07 10:34:12	ga_s2bm_ard_3-2-1_53JRM_2021-05-07_final.stac-item
2021-06-06 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2021-06-06_final.stac-item
2021-07-04 09:58:07	ga_s2bm_ard_3-2-1_54GYA_2021-07-04_final.stac-item
2021-07-06 10:33:33	ga_s2bm_ard_3-2-1_53KRQ_2021-07-06_final.stac-item
2021-08-26 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2021-08-26_final.stac-item
2021-09-28 10:17:03	ga_s2bm_ard_3-2-1_53HQA_2021-09-28_final.stac-item
2021-10-10 10:53:58	ga_s2bm_ard_3-2-1_53KKP_2021-10-10_final.stac-item
2021-10-16 11:14:51	ga_s2bm_ard_3-2-1_52JCR_2021-10-16_final.stac-item
2021-11-01 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-11-01_final.stac-item
2021-12-10 10:24:34	ga_s2bm_ard_3-2-1_53JQL_2021-12-10_final.stac-item
2021-12-12 11:03:48	ga_s2bm_ard_3-2-1_52KDV_2021-12-12_final.stac-item
2022-01-08 10:50:31	ga_s2bm_ard_3-2-1_53LPG_2022-01-08_final.stac-item
2022-02-12 11:46:09	ga_s2bm_ard_3-2-1_50JQL_2022-02-12_final.stac-item
2022-06-05 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2022-06-05_final.stac-item
2022-06-11 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2022-06-11_final.stac-item
2022-06-30 11:02:30	ga_s2bm_ard_3-2-1_53KKV_2022-06-30_final.stac-item
2022-07-09 11:33:17	ga_s2bm_ard_3-2-1_51KWT_2022-07-09_final.stac-item
2022-08-07 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2022-08-07_final.stac-item
2022-09-04 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2022-09-04_final.stac-item
2022-09-26 10:26:18	ga_s2bm_ard_3-2-1_53HQD_2022-09-26_final.stac-item
2022-10-13 13:31:33	ga_s2bm_ard_3-2-1_46LHN_2022-10-13_interim
2022-10-25 10:50:47	ga_s2bm_ard_3-2-1_53LLG_2022-10-25_final.stac-item
2022-10-30 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2022-10-30_final.stac-item
2022-10-30 10:06:41	ga_s2bm_ard_3-2-1_54HWG_2022-10-30_final.stac-item
2022-10-31 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2022-10-31_final.stac-item
2022-11-11 10:41:44	ga_s2bm_ard_3-2-1_53KRB_2022-11-11_final.stac-item
2022-11-15 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-11-15_final.stac-item
2022-11-21 10:42:39	ga_s2bm_ard_3-2-1_53KNU_2022-11-21_final.stac-item
2022-11-28 10:32:50	ga_s2bm_ard_3-2-1_53KQT_2022-11-28_final.stac-item
2022-12-14 10:54:31	ga_s2bm_ard_3-2-1_52JFS_2022-12-14_final.stac-item
2023-01-19 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-19_final.stac-item
2023-01-26 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2023-01-26_final.stac-item
2023-02-13 10:26:59	ga_s2bm_ard_3-2-1_53HQA_2023-02-13_final
2023-02-15 11:01:00	ga_s2bm_ard_3-2-1_52LGL_2023-02-15_final
2023-02-26 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2023-02-26_final
2023-04-09 11:11:33	ga_s2bm_ard_3-2-1_52LGJ_2023-04-09_final
2023-04-09 11:14:25	ga_s2bm_ard_3-2-1_51JZN_2023-04-09_final
2023-06-20 11:54:09	ga_s2bm_ard_3-2-1_50KPV_2023-06-20_final
2023-07-10 10:16:39	ga_s2bm_ard_3-2-1_54HTH_2023-07-10_final
2023-08-18 10:46:13	ga_s2bm_ard_3-2-1_53HME_2023-08-18_final
2023-08-28 10:44:11	ga_s2bm_ard_3-2-1_53JNN_2023-08-28_final
2023-09-12 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2023-09-12_final
2023-09-14 10:33:52	ga_s2bm_ard_3-2-1_53KQP_2023-09-14_final
2023-10-24 10:34:15	ga_s2bm_ard_3-2-1_53JNN_2023-10-24_final
2023-11-06 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2023-11-06_final
2024-01-11 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2024-01-11_final
2024-01-19 10:26:40	ga_s2bm_ard_3-2-1_53HNC_2024-01-19_final
2024-01-27 11:24:31	ga_s2bm_ard_3-2-1_52JBS_2024-01-27_final
2024-02-01 10:33:42	ga_s2bm_ard_3-2-1_53KRP_2024-02-01_final
2024-02-07 10:52:14	ga_s2bm_ard_3-2-1_53KKA_2024-02-07_final
2024-02-29 09:58:03	ga_s2bm_ard_3-2-1_54GYA_2024-02-29_final
2024-03-24 11:12:50	ga_s2bm_ard_3-2-1_52KDD_2024-03-24_final
2024-03-25 10:41:46	ga_s2bm_ard_3-2-1_53KRB_2024-03-25_final
2024-03-25 10:43:25	ga_s2bm_ard_3-2-1_53KQQ_2024-03-25_final
2024-05-14 10:40:39	ga_s2bm_ard_3-2-1_53LPG_2024-05-14_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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