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
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JPL_2017-06-30_final.stac-item
2017-10-04 11:02:43	ga_s2bm_ard_3-2-1_52JBL_2017-10-04_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49JFM_2017-11-04_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51KYS_2017-12-19_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXS_2018-02-20_final.stac-item
2018-06-22 10:27:06	ga_s2bm_ard_3-2-1_53JNM_2018-06-22_final.stac-item
2018-07-22 10:31:03	ga_s2bm_ard_3-2-1_53JQL_2018-07-22_final.stac-item
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JQN_2018-08-11_final.stac-item
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53JNM_2018-09-13_final.stac-item
2018-10-07 10:17:01	ga_s2bm_ard_3-2-1_54KVG_2018-10-07_final.stac-item
2018-11-11 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2018-11-11_final.stac-item
2018-11-27 09:52:13	ga_s2bm_ard_3-2-1_55KFU_2018-11-27_final.stac-item
2018-11-27 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2018-11-27_final.stac-item
2018-11-27 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2018-11-27_final.stac-item
2018-11-29 10:30:03	ga_s2bm_ard_3-2-1_54LXN_2018-11-29_final.stac-item
2018-12-10 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2018-12-10_final.stac-item
2018-12-17 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2018-12-17_final.stac-item
2018-12-24 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2018-12-24_final.stac-item
2018-12-30 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2018-12-30_final.stac-item
2019-01-03 11:23:04	ga_s2bm_ard_3-2-1_52KBC_2019-01-03_final.stac-item
2019-01-28 10:35:01	ga_s2bm_ard_3-2-1_53JQJ_2019-01-28_final.stac-item
2019-01-29 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2019-01-29_final.stac-item
2019-04-28 10:33:56	ga_s2bm_ard_3-2-1_53KQP_2019-04-28_final.stac-item
2019-07-10 10:44:37	ga_s2bm_ard_3-2-1_53JPL_2019-07-10_final.stac-item
2019-09-02 10:24:22	ga_s2bm_ard_3-2-1_53JRM_2019-09-02_final.stac-item
2019-09-02 10:24:37	ga_s2bm_ard_3-2-1_54JTR_2019-09-02_final.stac-item
2019-09-25 10:34:03	ga_s2bm_ard_3-2-1_53JQN_2019-09-25_final.stac-item
2019-12-05 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2019-12-05_final.stac-item
2019-12-14 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2019-12-14_final.stac-item
2019-12-15 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2019-12-15_final.stac-item
2019-12-19 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2019-12-19_final.stac-item
2019-12-24 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2019-12-24_final.stac-item
2019-12-25 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2019-12-25_final.stac-item
2020-01-01 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2020-01-01_final.stac-item
2020-01-16 10:44:00	ga_s2bm_ard_3-2-1_53JNN_2020-01-16_final.stac-item
2020-02-12 10:34:13	ga_s2bm_ard_3-2-1_53JQM_2020-02-12_final.stac-item
2020-03-23 10:34:12	ga_s2bm_ard_3-2-1_54JTS_2020-03-23_final.stac-item
2020-04-19 10:24:35	ga_s2bm_ard_3-2-1_53JQL_2020-04-19_final.stac-item
2020-04-22 10:34:13	ga_s2bm_ard_3-2-1_53JQM_2020-04-22_final.stac-item
2020-05-02 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2020-05-02_final.stac-item
2020-05-05 10:43:45	ga_s2bm_ard_3-2-1_53KPP_2020-05-05_final.stac-item
2020-06-04 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2020-06-04_final.stac-item
2020-06-06 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2020-06-06_final.stac-item
2020-06-28 10:24:36	ga_s2bm_ard_3-2-1_54JTR_2020-06-28_final.stac-item
2020-07-06 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2020-07-06_final.stac-item
2020-07-08 10:25:05	ga_s2bm_ard_3-2-1_54JTP_2020-07-08_final.stac-item
2020-07-11 10:33:51	ga_s2bm_ard_3-2-1_53KQP_2020-07-11_final.stac-item
2020-08-30 10:34:03	ga_s2bm_ard_3-2-1_53JRN_2020-08-30_final.stac-item
2020-08-30 10:34:21	ga_s2bm_ard_3-2-1_53JQM_2020-08-30_final.stac-item
2020-11-09 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-11-09_final.stac-item
2020-11-26 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2020-11-26_final.stac-item
2020-12-13 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2020-12-13_final.stac-item
2020-12-16 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-12-16_final.stac-item
2020-12-18 10:29:49	ga_s2bm_ard_3-2-1_54LXP_2020-12-18_final.stac-item
2020-12-26 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2020-12-26_final.stac-item
2021-01-04 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-01-04_final.stac-item
2021-01-27 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2021-01-27_final.stac-item
2021-01-27 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2021-01-27_final.stac-item
2021-01-30 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2021-01-30_final.stac-item
2021-03-14 10:50:38	ga_s2bm_ard_3-2-1_53LNG_2021-03-14_final.stac-item
2021-03-18 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2021-03-18_final.stac-item
2021-04-14 10:20:27	ga_s2bm_ard_3-2-1_54LWM_2021-04-14_final.stac-item
2021-07-21 09:47:20	ga_s2bm_ard_3-2-1_55HDU_2021-07-21_final.stac-item
2021-09-24 10:34:34	ga_s2bm_ard_3-2-1_53JPL_2021-09-24_final.stac-item
2021-11-11 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-11-11_final.stac-item
2021-12-15 11:13:07	ga_s2bm_ard_3-2-1_52KBC_2021-12-15_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 10:33:59	ga_s2bm_ard_3-2-1_53JQN_2022-01-22_final.stac-item
2022-02-21 10:33:44	ga_s2bm_ard_3-2-1_53KQP_2022-02-21_final.stac-item
2022-03-01 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2022-03-01_final.stac-item
2022-03-13 10:30:05	ga_s2bm_ard_3-2-1_54LXN_2022-03-13_final.stac-item
2022-04-03 10:06:50	ga_s2bm_ard_3-2-1_54HXF_2022-04-03_final.stac-item
2022-04-12 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2022-04-12_final.stac-item
2022-06-02 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-06-02_final.stac-item
2022-06-16 09:48:47	ga_s2bm_ard_3-2-1_55GCN_2022-06-16_final.stac-item
2022-06-22 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2022-06-22_final.stac-item
2022-07-01 10:34:18	ga_s2bm_ard_3-2-1_53JNN_2022-07-01_final.stac-item
2022-07-11 10:34:04	ga_s2bm_ard_3-2-1_54JTT_2022-07-11_final.stac-item
2022-08-03 10:44:11	ga_s2bm_ard_3-2-1_53JNN_2022-08-03_final.stac-item
2022-09-30 10:01:24	ga_s2bm_ard_3-2-1_55LCC_2022-09-30_final.stac-item
2022-10-17 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2022-10-17_final.stac-item
2022-11-08 10:34:20	ga_s2bm_ard_3-2-1_53JPM_2022-11-08_final.stac-item
2022-12-06 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-12-06_final.stac-item
2022-12-28 10:33:45	ga_s2bm_ard_3-2-1_54KTU_2022-12-28_final.stac-item
2023-03-09 11:44:17	ga_s2bm_ard_3-2-1_51KUP_2023-03-09_final
2023-04-25 09:52:04	ga_s2bm_ard_3-2-1_55KFV_2023-04-25_nrt
2023-06-03 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2023-06-03_final
2023-07-13 10:24:38	ga_s2bm_ard_3-2-1_54JTR_2023-07-13_final
2023-09-04 10:34:41	ga_s2bm_ard_3-2-1_53JPL_2023-09-04_final
2023-10-05 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2023-10-05_final
2023-11-03 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2023-11-03_final
2023-11-27 10:11:52	ga_s2bm_ard_3-2-1_54KYF_2023-11-27_final
2024-01-14 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2024-01-14_final
2024-02-29 09:52:33	ga_s2bm_ard_3-2-1_55KHS_2024-02-29_final
2024-03-05 10:43:44	ga_s2bm_ard_3-2-1_53KPP_2024-03-05_final
2024-03-19 10:22:38	ga_s2bm_ard_3-2-1_54KXC_2024-03-19_final
2024-03-25 10:41:46	ga_s2bm_ard_3-2-1_53KRB_2024-03-25_final
2024-04-01 10:34:13	ga_s2bm_ard_3-2-1_53JRM_2024-04-01_final
2024-04-03 09:38:11	ga_s2bm_ard_3-2-1_55GFQ_2024-04-03_final
2024-04-21 10:34:04	ga_s2bm_ard_3-2-1_53JQN_2024-04-21_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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