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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JLM_2017-07-11_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KWQ_2017-11-02_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVR_2017-12-12_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HUD_2017-12-12_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HQH_2018-01-31_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLJ_2018-02-26_final.stac-item
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51HUD_2018-03-19_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWV_2018-04-01_final.stac-item
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HXD_2018-05-28_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KUQ_2018-06-20_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KWP_2018-06-20_final.stac-item
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVV_2018-07-03_final.stac-item
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51HXD_2018-08-16_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWP_2018-08-19_final.stac-item
2019-01-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-01-09_final.stac-item
2019-02-11 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-02-11_final.stac-item
2019-05-05 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2019-05-05_final.stac-item
2019-05-06 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-05-06_final.stac-item
2019-05-25 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-05-25_final.stac-item
2019-06-18 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-18_final.stac-item
2019-07-15 11:32:55	ga_s2bm_ard_3-2-1_51KVV_2019-07-15_final.stac-item
2019-08-30 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2019-08-30_final.stac-item
2019-09-20 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2019-09-20_final.stac-item
2019-09-26 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-09-26_final.stac-item
2019-10-17 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2019-10-17_final.stac-item
2019-11-15 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-11-15_final.stac-item
2019-11-15 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2019-11-15_final.stac-item
2019-12-02 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2019-12-02_final.stac-item
2019-12-02 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2019-12-02_final.stac-item
2019-12-08 11:56:12	ga_s2bm_ard_3-2-1_50JNL_2019-12-08_final.stac-item
2019-12-12 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2019-12-12_final.stac-item
2019-12-25 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2019-12-25_final.stac-item
2020-01-20 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2020-01-20_final.stac-item
2020-01-31 11:32:18	ga_s2bm_ard_3-2-1_51KXA_2020-01-31_final.stac-item
2020-04-30 11:32:37	ga_s2bm_ard_3-2-1_51KWV_2020-04-30_final.stac-item
2020-06-05 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2020-06-05_final.stac-item
2020-06-12 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-06-12_final.stac-item
2020-07-12 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2020-07-12_final.stac-item
2020-07-26 11:23:49	ga_s2bm_ard_3-2-1_51KXR_2020-07-26_final.stac-item
2020-08-10 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2020-08-10_final.stac-item
2020-09-13 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2020-09-13_final.stac-item
2020-10-07 11:32:25	ga_s2bm_ard_3-2-1_51KYA_2020-10-07_final.stac-item
2020-10-07 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-10-07_final.stac-item
2020-10-10 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-10-10_final.stac-item
2020-10-30 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2020-10-30_final.stac-item
2021-01-15 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-01-15_final.stac-item
2021-01-18 11:44:05	ga_s2bm_ard_3-2-1_50KQV_2021-01-18_final.stac-item
2021-02-07 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2021-02-07_final.stac-item
2021-02-13 12:04:20	ga_s2bm_ard_3-2-1_50KMU_2021-02-13_final.stac-item
2021-03-29 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-03-29_final.stac-item
2021-03-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-03-29_final.stac-item
2021-04-15 11:34:45	ga_s2bm_ard_3-2-1_51JTM_2021-04-15_final.stac-item
2021-04-18 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2021-04-18_final.stac-item
2021-04-22 11:26:05	ga_s2bm_ard_3-2-1_51JWF_2021-04-22_final.stac-item
2021-05-14 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2021-05-14_final.stac-item
2021-05-17 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-05-17_final.stac-item
2021-07-01 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-07-01_final.stac-item
2021-07-17 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2021-07-17_final.stac-item
2021-08-26 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2021-08-26_final.stac-item
2021-09-02 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2021-09-02_final.stac-item
2021-09-02 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2021-09-02_final.stac-item
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final.stac-item
2021-11-14 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-11-14_final.stac-item
2022-01-03 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-01-03_final.stac-item
2022-01-16 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-01-16_final.stac-item
2022-01-17 11:26:28	ga_s2bm_ard_3-2-1_51HUE_2022-01-17_final.stac-item
2022-01-23 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2022-01-23_final.stac-item
2022-03-08 11:24:56	ga_s2bm_ard_3-2-1_51JWL_2022-03-08_final.stac-item
2022-04-09 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2022-04-09_final.stac-item
2022-05-26 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-05-26_final.stac-item
2022-07-16 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2022-07-16_final.stac-item
2022-07-25 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2022-07-25_final.stac-item
2022-07-28 12:05:02	ga_s2bm_ard_3-2-1_50JKS_2022-07-28_final.stac-item
2022-10-13 13:31:33	ga_s2bm_ard_3-2-1_46LHN_2022-10-13_interim
2022-10-26 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2022-10-26_final.stac-item
2022-10-27 11:34:42	ga_s2bm_ard_3-2-1_51JVM_2022-10-27_final.stac-item
2022-10-31 11:14:54	ga_s2bm_ard_3-2-1_51JYL_2022-10-31_final.stac-item
2022-11-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-11-18_final.stac-item
2022-12-16 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2022-12-16_final.stac-item
2023-03-26 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2023-03-26_final
2023-04-05 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-04-05_final
2023-05-25 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-05-25_final
2023-06-21 11:26:09	ga_s2bm_ard_3-2-1_51JUG_2023-06-21_final
2023-07-07 11:43:24	ga_s2bm_ard_3-2-1_50KRC_2023-07-07_final
2023-07-13 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-07-13_final
2023-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-08-15_final
2023-08-16 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-08-16_final
2023-08-30 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2023-08-30_final
2023-09-21 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-09-21_final
2023-10-22 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-10-22_final
2023-10-25 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2023-10-25_final
2023-11-13 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2023-11-13_final
2023-12-24 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-12-24_final
2024-01-19 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2024-01-19_final
2024-01-27 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2024-01-27_final
2024-02-29 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2024-02-29_final
2024-03-10 11:36:42	ga_s2bm_ard_3-2-1_51HTD_2024-03-10_final
2024-03-20 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2024-03-20_final
2024-03-20 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2024-03-20_final
2024-04-28 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-04-28_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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