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
2017-10-27 11:06:59	ga_s2bm_ard_3-2-1_52LHM_2017-10-27_final.stac-item
2018-01-10 10:23:19	ga_s2bm_ard_3-2-1_53HQE_2018-01-10_final.stac-item
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KVB_2018-02-13_final.stac-item
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_54LWJ_2018-03-11_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLH_2018-06-03_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQL_2018-07-03_final.stac-item
2018-07-09 10:22:32	ga_s2bm_ard_3-2-1_53HPC_2018-07-09_final.stac-item
2018-07-09 10:22:32	ga_s2bm_ard_3-2-1_53JRM_2018-07-09_final.stac-item
2018-07-09 10:22:32	ga_s2bm_ard_3-2-1_54JTS_2018-07-09_final.stac-item
2018-11-10 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2018-11-10_final.stac-item
2018-11-22 10:43:45	ga_s2bm_ard_3-2-1_53KPP_2018-11-22_final.stac-item
2018-12-07 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2018-12-07_final.stac-item
2018-12-09 10:34:55	ga_s2bm_ard_3-2-1_53JQJ_2018-12-09_final.stac-item
2019-01-19 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2019-01-19_final.stac-item
2019-02-03 10:52:12	ga_s2bm_ard_3-2-1_53KLA_2019-02-03_final.stac-item
2019-02-20 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2019-02-20_final.stac-item
2019-02-26 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2019-02-26_final.stac-item
2019-03-06 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2019-03-06_final.stac-item
2019-03-19 10:34:13	ga_s2bm_ard_3-2-1_53JRM_2019-03-19_final.stac-item
2019-05-25 10:25:51	ga_s2bm_ard_3-2-1_54JUL_2019-05-25_final.stac-item
2019-05-25 10:26:41	ga_s2bm_ard_3-2-1_53HQC_2019-05-25_final.stac-item
2019-06-24 10:24:27	ga_s2bm_ard_3-2-1_53JRM_2019-06-24_final.stac-item
2019-07-08 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2019-07-08_final.stac-item
2019-07-14 10:26:30	ga_s2bm_ard_3-2-1_53HPD_2019-07-14_final.stac-item
2019-08-16 10:34:21	ga_s2bm_ard_3-2-1_54JTS_2019-08-16_final.stac-item
2019-12-14 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2019-12-14_final.stac-item
2019-12-27 10:43:43	ga_s2bm_ard_3-2-1_53KPP_2019-12-27_final.stac-item
2020-01-08 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2020-01-08_final.stac-item
2020-01-09 10:51:05	ga_s2bm_ard_3-2-1_53LME_2020-01-09_final.stac-item
2020-01-25 11:10:25	ga_s2bm_ard_3-2-1_52LFN_2020-01-25_final
2020-02-12 10:33:40	ga_s2bm_ard_3-2-1_54KTU_2020-02-12_final.stac-item
2020-04-06 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-04-06_final.stac-item
2020-05-19 10:24:19	ga_s2bm_ard_3-2-1_54JTS_2020-05-19_final.stac-item
2020-05-25 10:44:22	ga_s2bm_ard_3-2-1_53JNM_2020-05-25_final.stac-item
2020-09-06 10:24:43	ga_s2bm_ard_3-2-1_53JQL_2020-09-06_final.stac-item
2020-09-07 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-07_final.stac-item
2020-09-19 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2020-09-19_final.stac-item
2020-09-25 10:50:37	ga_s2bm_ard_3-2-1_53LPG_2020-09-25_final.stac-item
2020-09-27 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-09-27_final.stac-item
2020-11-05 10:20:33	ga_s2bm_ard_3-2-1_54LWM_2020-11-05_final.stac-item
2021-02-06 10:34:24	ga_s2bm_ard_3-2-1_53JNM_2021-02-06_final.stac-item
2021-02-06 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-02-06_final.stac-item
2021-02-14 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2021-02-14_final.stac-item
2021-02-28 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2021-02-28_final.stac-item
2021-03-12 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-03-12_final.stac-item
2021-03-18 10:34:03	ga_s2bm_ard_3-2-1_53JQN_2021-03-18_final.stac-item
2021-04-07 10:34:27	ga_s2bm_ard_3-2-1_54JTR_2021-04-07_final.stac-item
2021-04-24 10:20:25	ga_s2bm_ard_3-2-1_54LWM_2021-04-24_final.stac-item
2021-04-26 11:00:35	ga_s2bm_ard_3-2-1_53LLG_2021-04-26_final.stac-item
2021-05-05 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2021-05-05_final.stac-item
2021-05-14 10:26:45	ga_s2bm_ard_3-2-1_53HQB_2021-05-14_final.stac-item
2021-05-15 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-05-15_final.stac-item
2021-05-27 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2021-05-27_final.stac-item
2021-05-31 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-05-31_final.stac-item
2021-06-27 10:03:33	ga_s2bm_ard_3-2-1_54KYV_2021-06-27_final.stac-item
2021-07-14 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2021-07-14_final.stac-item
2021-07-31 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-07-31_final.stac-item
2021-07-31 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2021-07-31_final.stac-item
2021-11-13 10:34:35	ga_s2bm_ard_3-2-1_53JPL_2021-11-13_final.stac-item
2021-11-17 10:17:13	ga_s2bm_ard_3-2-1_54HUE_2021-11-17_final
2021-11-24 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2021-11-24_final.stac-item
2021-12-17 11:56:16	ga_s2bm_ard_3-2-1_50JML_2021-12-17_final.stac-item
2022-01-06 10:16:27	ga_s2bm_ard_3-2-1_54HUH_2022-01-06_final.stac-item
2022-01-10 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2022-01-10_final.stac-item
2022-01-22 10:34:09	ga_s2bm_ard_3-2-1_54JTS_2022-01-22_final.stac-item
2022-01-30 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2022-01-30_final.stac-item
2022-02-03 11:11:25	ga_s2bm_ard_3-2-1_52LFJ_2022-02-03_final.stac-item
2022-02-12 11:46:13	ga_s2bm_ard_3-2-1_50JPL_2022-02-12_final.stac-item
2022-03-30 10:20:42	ga_s2bm_ard_3-2-1_54LWL_2022-03-30_final.stac-item
2022-04-23 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-04-23_final.stac-item
2022-06-07 10:50:50	ga_s2bm_ard_3-2-1_53LPF_2022-06-07_final.stac-item
2022-06-12 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2022-06-12_final.stac-item
2022-06-14 10:44:10	ga_s2bm_ard_3-2-1_53JNN_2022-06-14_final.stac-item
2022-06-28 10:26:52	ga_s2bm_ard_3-2-1_53HQB_2022-06-28_final.stac-item
2022-07-28 10:24:45	ga_s2bm_ard_3-2-1_53JQL_2022-07-28_final.stac-item
2022-07-29 11:33:18	ga_s2bm_ard_3-2-1_51KWT_2022-07-29_final.stac-item
2022-08-20 10:34:01	ga_s2bm_ard_3-2-1_53JRN_2022-08-20_final.stac-item
2022-09-09 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2022-09-09_final.stac-item
2022-11-28 10:34:31	ga_s2bm_ard_3-2-1_53JQL_2022-11-28_final.stac-item
2023-02-03 10:26:37	ga_s2bm_ard_3-2-1_53HNC_2023-02-03_final.stac-item
2023-02-09 10:41:44	ga_s2bm_ard_3-2-1_53KRB_2023-02-09_final.stac-item
2023-02-13 10:21:42	ga_s2bm_ard_3-2-1_54KWG_2023-02-13_final
2023-04-15 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2023-04-15_final
2023-05-28 10:06:39	ga_s2bm_ard_3-2-1_54HYG_2023-05-28_final
2023-06-13 10:24:21	ga_s2bm_ard_3-2-1_54JTS_2023-06-13_final
2023-07-17 11:42:01	ga_s2bm_ard_3-2-1_51LWC_2023-07-17_final
2023-07-23 10:24:46	ga_s2bm_ard_3-2-1_53JQL_2023-07-23_final
2023-08-05 10:30:45	ga_s2bm_ard_3-2-1_54LWL_2023-08-05_final
2023-08-16 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2023-08-16_final
2023-09-21 10:26:50	ga_s2bm_ard_3-2-1_53HQB_2023-09-21_final
2023-09-25 11:41:01	ga_s2bm_ard_3-2-1_51LWG_2023-09-25_final
2023-10-24 10:33:46	ga_s2bm_ard_3-2-1_54KTU_2023-10-24_final
2023-11-03 10:33:48	ga_s2bm_ard_3-2-1_53KRP_2023-11-03_final
2023-11-13 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2023-11-13_final
2023-12-03 10:30:38	ga_s2bm_ard_3-2-1_54LWL_2023-12-03_final
2023-12-23 10:34:15	ga_s2bm_ard_3-2-1_53JRM_2023-12-23_final
2024-01-29 10:26:52	ga_s2bm_ard_3-2-1_53HNB_2024-01-29_final
2024-02-03 11:10:30	ga_s2bm_ard_3-2-1_52LFN_2024-02-03_final
2024-03-28 10:52:09	ga_s2bm_ard_3-2-1_53KMA_2024-03-28_final
2024-03-31 11:02:29	ga_s2bm_ard_3-2-1_52KGE_2024-03-31_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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