Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-18 09:34:03	ga_s2bm_ard_3-2-1_55GCP_2017-08-18_final
2017-08-28 11:07:07	ga_s2bm_ard_3-2-1_52LEL_2017-08-28_final.stac-item
2017-10-12 10:26:23	ga_s2bm_ard_3-2-1_53HQB_2017-10-12_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JWK_2017-12-12_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51LZC_2018-01-21_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KCB_2018-01-28_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKN_2018-02-19_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51HUC_2018-03-12_final
2018-03-16 09:32:32	ga_s2bm_ard_3-2-1_55GDQ_2018-03-16_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGJ_2018-03-31_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_52JBP_2018-04-25_final
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_53JMM_2018-04-26_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KXR_2018-05-28_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_52KBB_2018-05-28_final
2018-06-06 10:07:02	ga_s2bm_ard_3-2-1_54LZL_2018-06-06_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51LUE_2018-06-23_final
2018-07-10 09:53:10	ga_s2bm_ard_3-2-1_54HXE_2018-07-10_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JKM_2018-07-26_final
2018-08-18 10:16:59	ga_s2bm_ard_3-2-1_54LXP_2018-08-18_final
2018-08-18 10:16:59	ga_s2bm_ard_3-2-1_54LZP_2018-08-18_final
2018-10-30 10:32:44	ga_s2bm_ard_3-2-1_53JPM_2018-10-30_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KEC_2018-11-01_final
2018-11-06 10:24:17	ga_s2bm_ard_3-2-1_54JTS_2018-11-06_final
2018-11-07 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2018-11-07_final
2018-12-12 10:44:41	ga_s2bm_ard_3-2-1_53JKL_2018-12-12_final
2019-01-23 09:48:05	ga_s2bm_ard_3-2-1_55GCR_2019-01-23_final
2019-02-21 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-02-21_final
2019-03-12 10:46:21	ga_s2bm_ard_3-2-1_53HLD_2019-03-12_final
2019-03-25 10:52:59	ga_s2bm_ard_3-2-1_53KKT_2019-03-25_final
2019-04-27 11:02:59	ga_s2bm_ard_3-2-1_52KED_2019-04-27_final
2019-05-15 10:27:08	ga_s2bm_ard_3-2-1_54HTF_2019-05-15_final
2019-06-08 10:04:47	ga_s2bm_ard_3-2-1_54JYQ_2019-06-08_final
2019-06-20 10:46:08	ga_s2bm_ard_3-2-1_52JGL_2019-06-20_final
2019-06-21 11:54:04	ga_s2bm_ard_3-2-1_50KMA_2019-06-21_final
2019-07-01 10:15:58	ga_s2bm_ard_3-2-1_54HXK_2019-07-01_final
2019-07-17 10:33:54	ga_s2bm_ard_3-2-1_54KTU_2019-07-17_final
2019-07-26 11:03:50	ga_s2bm_ard_3-2-1_52KGV_2019-07-26_final
2019-09-10 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2019-09-10_final
2019-10-06 10:07:37	ga_s2bm_ard_3-2-1_54HXC_2019-10-06_final
2019-11-01 10:25:15	ga_s2bm_ard_3-2-1_54JUN_2019-11-01_final
2019-11-06 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2019-11-06_final
2020-01-31 11:32:25	ga_s2bm_ard_3-2-1_51KVA_2020-01-31_final
2020-02-09 10:20:26	ga_s2bm_ard_3-2-1_54LWM_2020-02-09_final
2020-04-03 10:04:06	ga_s2bm_ard_3-2-1_54JZS_2020-04-03_final
2020-04-19 10:25:31	ga_s2bm_ard_3-2-1_54JVL_2020-04-19_final
2020-05-09 10:20:11	ga_s2bm_ard_3-2-1_54LXN_2020-05-09_final
2020-05-14 09:38:51	ga_s2bm_ard_3-2-1_55GCN_2020-05-14_final
2020-07-02 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-07-02_final
2020-07-19 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-07-19_final
2020-08-26 10:50:27	ga_s2bm_ard_3-2-1_53LNH_2020-08-26_final.stac-item
2020-10-06 10:20:53	ga_s2bm_ard_3-2-1_54LZK_2020-10-06_final
2020-12-16 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2020-12-16_final
2021-02-24 09:57:39	ga_s2bm_ard_3-2-1_54HXC_2021-02-24_final
2021-02-26 10:36:23	ga_s2bm_ard_3-2-1_53HMD_2021-02-26_final
2021-03-24 10:56:03	ga_s2bm_ard_3-2-1_52JEL_2021-03-24_final
2021-04-14 10:23:46	ga_s2bm_ard_3-2-1_54KTU_2021-04-14_final
2021-05-18 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-05-18_final
2021-06-06 10:31:23	ga_s2bm_ard_3-2-1_54LWH_2021-06-06_final
2021-06-22 10:54:12	ga_s2bm_ard_3-2-1_52JHT_2021-06-22_final
2021-06-28 11:14:10	ga_s2bm_ard_3-2-1_52KBU_2021-06-28_final
2021-08-24 11:01:01	ga_s2bm_ard_3-2-1_52LGL_2021-08-24_final
2021-09-19 11:21:43	ga_s2bm_ard_3-2-1_52LDH_2021-09-19_final
2021-10-01 12:04:20	ga_s2bm_ard_3-2-1_50KKV_2021-10-01_final
2021-11-06 10:45:00	ga_s2bm_ard_3-2-1_53JKK_2021-11-06_final
2021-11-13 10:33:23	ga_s2bm_ard_3-2-1_53KPR_2021-11-13_final
2021-11-22 11:05:45	ga_s2bm_ard_3-2-1_52JDM_2021-11-22_final
2021-12-23 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2021-12-23_final
2021-12-27 10:16:16	ga_s2bm_ard_3-2-1_54HTJ_2021-12-27_final
2022-01-19 10:26:41	ga_s2bm_ard_3-2-1_54HTG_2022-01-19_final
2022-03-04 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2022-03-04_final
2022-03-25 11:10:22	ga_s2bm_ard_3-2-1_52LHN_2022-03-25_final
2022-03-28 11:25:54	ga_s2bm_ard_3-2-1_51JWG_2022-03-28_final
2022-03-31 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-03-31_final
2022-04-09 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2022-04-09_final
2022-04-18 10:55:35	ga_s2bm_ard_3-2-1_53JKG_2022-04-18_final
2022-05-11 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2022-05-11_final
2022-06-18 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2022-06-18_final
2022-08-05 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2022-08-05_final
2022-08-28 09:58:05	ga_s2bm_ard_3-2-1_55GBR_2022-08-28_final
2022-09-10 11:45:02	ga_s2bm_ard_3-2-1_51JTL_2022-09-10_final.stac-item
2022-09-21 09:38:50	ga_s2bm_ard_3-2-1_55GDN_2022-09-21_final.stac-item
2022-10-01 11:11:47	ga_s2bm_ard_3-2-1_52LEH_2022-10-01_final.stac-item
2022-12-08 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2022-12-08_final.stac-item
2022-12-21 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2022-12-21_final.stac-item
2023-01-04 10:24:07	ga_s2bm_ard_3-2-1_54JWS_2023-01-04_final.stac-item
2023-02-17 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2023-02-17_final.stac-item
2023-03-31 10:43:49	ga_s2bm_ard_3-2-1_53KLQ_2023-03-31_final.stac-item
2023-04-03 10:53:46	ga_s2bm_ard_3-2-1_52KHV_2023-04-03_final.stac-item
2023-06-07 10:05:34	ga_s2bm_ard_3-2-1_54JYL_2023-06-07_final.stac-item
2023-06-14 11:34:16	ga_s2bm_ard_3-2-1_51KWP_2023-06-14_final.stac-item
2023-07-04 11:32:46	ga_s2bm_ard_3-2-1_51KXV_2023-07-04_final.stac-item
2023-07-19 10:41:35	ga_s2bm_ard_3-2-1_54LTH_2023-07-19_nrt.stac-item
2023-07-28 11:14:00	ga_s2bm_ard_3-2-1_51KZQ_2023-07-28_final.stac-item
2023-09-04 10:36:33	ga_s2bm_ard_3-2-1_53HLD_2023-09-04_final.stac-item
2023-09-08 10:11:17	ga_s2bm_ard_3-2-1_54LYJ_2023-09-08_final.stac-item
2023-11-23 10:33:55	ga_s2bm_ard_3-2-1_54JTT_2023-11-23_final.stac-item
2024-02-05 10:16:55	ga_s2bm_ard_3-2-1_54HVF_2024-02-05_final.stac-item
2024-02-11 10:32:12	ga_s2bm_ard_3-2-1_54KVE_2024-02-11_final.stac-item
2024-03-25 10:43:59	ga_s2bm_ard_3-2-1_53KLP_2024-03-25_final.stac-item
2024-03-27 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2024-03-27_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years