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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_50KKA_2017-09-15_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HPJ_2017-10-26_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KWT_2017-11-02_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KWU_2017-11-12_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KXU_2017-11-22_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KVV_2017-12-15_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUS_2017-12-25_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51KYU_2018-02-07_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWU_2018-03-02_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXR_2018-03-02_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWS_2018-04-01_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KYU_2018-04-11_final.stac-item
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KYU_2018-04-28_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KYU_2018-05-11_final.stac-item
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JXJ_2018-07-27_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KXQ_2018-07-30_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_51KZQ_2018-08-23_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HNH_2018-09-21_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KXR_2018-10-25_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KYT_2018-10-25_final.stac-item
2018-11-21 11:13:51	ga_s2bm_ard_3-2-1_51KZQ_2018-11-21_final.stac-item
2019-01-13 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-01-13_final.stac-item
2019-02-22 11:23:32	ga_s2bm_ard_3-2-1_51KYR_2019-02-22_final.stac-item
2019-03-14 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2019-03-14_final.stac-item
2019-03-24 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2019-03-24_final.stac-item
2019-04-19 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-04-19_final.stac-item
2019-06-09 11:14:45	ga_s2bm_ard_3-2-1_51JZM_2019-06-09_final.stac-item
2019-06-12 11:23:03	ga_s2bm_ard_3-2-1_51KYU_2019-06-12_final.stac-item
2019-10-23 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2019-10-23_final.stac-item
2019-12-18 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2019-12-18_final.stac-item
2020-02-20 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2020-02-20_final.stac-item
2020-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2020-03-04_final.stac-item
2020-03-08 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2020-03-08_final.stac-item
2020-03-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-03-13_final.stac-item
2020-04-23 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2020-04-23_final.stac-item
2020-04-27 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2020-04-27_final.stac-item
2020-04-29 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2020-04-29_final.stac-item
2020-05-10 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2020-05-10_final.stac-item
2020-05-26 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2020-05-26_final.stac-item
2020-06-18 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2020-06-18_final.stac-item
2020-06-22 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2020-06-22_final.stac-item
2020-08-04 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2020-08-04_final.stac-item
2020-08-11 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2020-08-11_final.stac-item
2020-09-20 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-09-20_final.stac-item
2020-10-17 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-17_final.stac-item
2020-10-27 11:32:18	ga_s2bm_ard_3-2-1_51KWB_2020-10-27_final.stac-item
2020-11-06 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2020-11-06_final.stac-item
2020-11-09 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2020-11-09_final.stac-item
2020-11-23 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2020-11-23_final.stac-item
2020-11-29 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2020-11-29_final.stac-item
2020-12-19 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2020-12-19_final.stac-item
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2020-12-25_final.stac-item
2021-02-10 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-02-10_final
2021-02-10 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-02-10_final.stac-item
2021-02-24 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2021-02-24_final.stac-item
2021-04-12 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2021-04-12_final.stac-item
2021-04-19 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2021-04-19_final.stac-item
2021-05-28 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-05-28_final.stac-item
2021-06-01 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2021-06-01_final.stac-item
2021-06-11 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2021-06-11_final.stac-item
2021-06-28 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-06-28_final.stac-item
2021-07-31 11:24:53	ga_s2bm_ard_3-2-1_51JYL_2021-07-31_final.stac-item
2021-08-06 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2021-08-06_final.stac-item
2021-08-16 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-08-16_final.stac-item
2021-08-23 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2021-08-23_final.stac-item
2021-08-26 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2021-08-26_final.stac-item
2021-09-19 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2021-09-19_final.stac-item
2021-10-06 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2021-10-06_final.stac-item
2021-10-15 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-10-15_final.stac-item
2021-11-01 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-11-01_final.stac-item
2021-11-04 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-11-04_final.stac-item
2022-02-26 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2022-02-26_final.stac-item
2022-05-23 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-05-23_final.stac-item
2022-05-30 11:32:14	ga_s2bm_ard_3-2-1_51KWB_2022-05-30_final.stac-item
2022-07-13 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2022-07-13_final.stac-item
2022-07-19 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2022-07-19_final.stac-item
2022-08-15 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2022-08-15_final.stac-item
2022-08-25 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2022-08-25_final.stac-item
2022-09-03 11:54:46	ga_s2bm_ard_3-2-1_50JLT_2022-09-03_final.stac-item
2022-10-23 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-10-23_final.stac-item
2022-10-27 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-10-27_final.stac-item
2022-11-09 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-11-09_final.stac-item
2022-12-03 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2022-12-03_final.stac-item
2022-12-16 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2022-12-16_final.stac-item
2022-12-29 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-12-29_final.stac-item
2023-02-11 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2023-02-11_final
2023-05-05 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2023-05-05_final
2023-06-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-07_final
2023-06-24 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-06-24_final
2023-07-11 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-07-11_final
2023-09-22 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2023-09-22_final
2023-10-11 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2023-10-11_final
2023-10-29 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-10-29_final
2023-11-18 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2023-11-18_final
2023-12-20 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2023-12-20_final
2024-03-20 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-03-20_final
2024-04-02 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2024-04-02_final
2024-04-26 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2024-04-26_final
2024-04-29 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2024-04-29_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

All years