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
2017-07-06 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2017-07-06_final.stac-item
2017-10-02 10:22:51	ga_s2bm_ard_3-2-1_53JRM_2017-10-02_final.stac-item
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JNM_2017-12-14_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-15_final.stac-item
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HUC_2017-12-19_final.stac-item
2017-12-23 10:57:04	ga_s2bm_ard_3-2-1_53LMF_2017-12-23_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50JQL_2018-02-03_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-02-22_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUV_2018-03-15_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKN_2018-04-07_final.stac-item
2018-04-22 10:57:14	ga_s2bm_ard_3-2-1_52KDU_2018-04-22_final.stac-item
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2018-06-22_final.stac-item
2018-07-15 10:41:45	ga_s2bm_ard_3-2-1_53JLG_2018-07-15_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JFM_2018-07-22_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HPJ_2018-07-30_final.stac-item
2018-08-27 10:49:47	ga_s2bm_ard_3-2-1_53LMD_2018-08-27_final.stac-item
2018-09-22 11:07:09	ga_s2bm_ard_3-2-1_52LGH_2018-09-22_final.stac-item
2018-10-16 10:51:27	ga_s2bm_ard_3-2-1_53KLA_2018-10-16_final.stac-item
2018-12-26 12:03:29	ga_s2bm_ard_3-2-1_50KNB_2018-12-26_final.stac-item
2019-04-12 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2019-04-12_final.stac-item
2019-04-13 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2019-04-13_final.stac-item
2019-04-29 11:43:36	ga_s2bm_ard_3-2-1_51KUS_2019-04-29_final.stac-item
2019-05-23 09:48:17	ga_s2bm_ard_3-2-1_54GYA_2019-05-23_final.stac-item
2019-07-27 12:14:50	ga_s2bm_ard_3-2-1_49JGN_2019-07-27_final.stac-item
2019-08-25 11:05:49	ga_s2bm_ard_3-2-1_52JEM_2019-08-25_final.stac-item
2019-09-24 11:03:07	ga_s2bm_ard_3-2-1_53KKS_2019-09-24_final.stac-item
2019-09-26 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2019-09-26_final.stac-item
2019-10-13 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2019-10-13_final.stac-item
2019-11-04 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2019-11-04_final.stac-item
2019-11-18 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-11-18_final.stac-item
2020-01-22 11:02:19	ga_s2bm_ard_3-2-1_52KHE_2020-01-22_final.stac-item
2020-02-20 11:34:39	ga_s2bm_ard_3-2-1_51JVM_2020-02-20_final.stac-item
2020-05-01 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2020-05-01_final.stac-item
2020-06-03 11:13:04	ga_s2bm_ard_3-2-1_52KDC_2020-06-03_final.stac-item
2020-06-18 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-06-18_final.stac-item
2020-06-22 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-06-22_final.stac-item
2020-06-23 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2020-06-23_final.stac-item
2020-07-16 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2020-07-16_final.stac-item
2020-09-10 11:44:13	ga_s2bm_ard_3-2-1_50KPV_2020-09-10_final.stac-item
2020-11-23 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2020-11-23_final.stac-item
2020-12-13 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2020-12-13_final.stac-item
2021-01-22 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-01-22_final.stac-item
2021-01-30 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2021-01-30_final.stac-item
2021-02-06 10:33:29	ga_s2bm_ard_3-2-1_53KRQ_2021-02-06_final.stac-item
2021-03-30 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2021-03-30_final.stac-item
2021-06-16 10:36:25	ga_s2bm_ard_3-2-1_53HMD_2021-06-16_final.stac-item
2021-06-25 11:05:02	ga_s2bm_ard_3-2-1_52JEQ_2021-06-25_final.stac-item
2021-07-20 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-20_final.stac-item
2021-08-24 11:01:22	ga_s2bm_ard_3-2-1_53LLD_2021-08-24_final.stac-item
2021-08-26 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-08-26_final.stac-item
2021-10-14 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2021-10-14_final.stac-item
2021-10-28 10:17:05	ga_s2bm_ard_3-2-1_54HTF_2021-10-28_final.stac-item
2021-11-25 11:12:16	ga_s2bm_ard_3-2-1_52KDF_2021-11-25_final.stac-item
2021-11-30 10:26:46	ga_s2bm_ard_3-2-1_53HPB_2021-11-30_final.stac-item
2021-12-01 11:33:34	ga_s2bm_ard_3-2-1_51KXR_2021-12-01_final.stac-item
2021-12-10 10:26:48	ga_s2bm_ard_3-2-1_53HNB_2021-12-10_final.stac-item
2021-12-13 10:34:19	ga_s2bm_ard_3-2-1_53JNM_2021-12-13_final.stac-item
2022-01-02 10:33:27	ga_s2bm_ard_3-2-1_53KRQ_2022-01-02_final.stac-item
2022-01-04 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2022-01-04_final.stac-item
2022-02-04 10:42:45	ga_s2bm_ard_3-2-1_53KPT_2022-02-04_final.stac-item
2022-05-28 10:54:01	ga_s2bm_ard_3-2-1_52KGU_2022-05-28_final.stac-item
2022-06-30 11:00:41	ga_s2bm_ard_3-2-1_53LMG_2022-06-30_final.stac-item
2022-08-06 10:54:48	ga_s2bm_ard_3-2-1_52JGR_2022-08-06_final.stac-item
2022-08-27 10:24:23	ga_s2bm_ard_3-2-1_53JRM_2022-08-27_final.stac-item
2022-09-13 11:56:24	ga_s2bm_ard_3-2-1_50JML_2022-09-13_final.stac-item
2022-10-06 10:24:14	ga_s2bm_ard_3-2-1_53JRM_2022-10-06_final.stac-item
2022-10-21 11:14:08	ga_s2bm_ard_3-2-1_52KBU_2022-10-21_final.stac-item
2022-10-21 12:50:58	ga_s2bm_ard_3-2-1_48LXP_2022-10-21_interim
2022-11-03 11:22:05	ga_s2bm_ard_3-2-1_52KBG_2022-11-03_final.stac-item
2022-11-07 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2022-11-07_final.stac-item
2022-12-15 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2022-12-15_final.stac-item
2022-12-23 11:22:04	ga_s2bm_ard_3-2-1_52KCG_2022-12-23_final.stac-item
2023-02-01 11:22:38	ga_s2bm_ard_3-2-1_51KYV_2023-02-01_final.stac-item
2023-02-02 10:54:08	ga_s2bm_ard_3-2-1_52JHT_2023-02-02_final
2023-03-10 11:11:31	ga_s2bm_ard_3-2-1_52LGJ_2023-03-10_final
2023-04-14 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-04-14_final
2023-04-19 11:14:51	ga_s2bm_ard_3-2-1_52JCR_2023-04-19_final
2023-04-23 10:51:36	ga_s2bm_ard_3-2-1_53LMC_2023-04-23_final
2023-04-26 11:00:42	ga_s2bm_ard_3-2-1_53LLG_2023-04-26_final
2023-05-28 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-05-28_final
2023-06-01 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2023-06-01_final
2023-07-01 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2023-07-01_final
2023-07-02 10:51:45	ga_s2bm_ard_3-2-1_53LNC_2023-07-02_final
2023-07-05 11:03:54	ga_s2bm_ard_3-2-1_52KEV_2023-07-05_final
2023-07-15 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-07-15_final
2023-07-31 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-07-31_final
2023-09-09 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2023-09-09_final
2023-09-22 09:58:09	ga_s2bm_ard_3-2-1_54GYA_2023-09-22_final
2023-09-26 11:10:36	ga_s2bm_ard_3-2-1_52LFN_2023-09-26_final
2023-10-01 12:04:33	ga_s2bm_ard_3-2-1_50JLT_2023-10-01_final
2023-10-11 10:26:32	ga_s2bm_ard_3-2-1_54HTH_2023-10-11_final
2023-10-18 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-10-18_final
2023-10-31 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2023-10-31_final
2023-11-03 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-11-03_final
2024-01-10 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2024-01-10_final
2024-02-13 11:11:35	ga_s2bm_ard_3-2-1_52LEJ_2024-02-13_final
2024-03-04 11:12:25	ga_s2bm_ard_3-2-1_52KFE_2024-03-04_final
2024-03-07 11:23:15	ga_s2bm_ard_3-2-1_52KBB_2024-03-07_final
2024-05-07 10:50:24	ga_s2bm_ard_3-2-1_53LNH_2024-05-07_final
2024-05-07 10:55:28	ga_s2bm_ard_3-2-1_52JGN_2024-05-07_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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