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
2017-07-08 10:06:41	ga_s2bm_ard_3-2-1_54HXF_2017-07-08_final
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_51KZR_2017-07-19_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KLC_2017-09-02_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JQL_2017-09-05_final
2017-09-08 10:41:55	ga_s2bm_ard_3-2-1_53KPA_2017-09-08_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JKF_2017-09-18_final
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52KDB_2017-09-27_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KXP_2018-01-28_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51LYD_2018-03-02_final
2018-03-08 10:16:06	ga_s2bm_ard_3-2-1_53HQB_2018-03-08_final
2018-05-19 10:54:54	ga_s2bm_ard_3-2-1_52JGP_2018-05-19_final
2018-06-09 10:17:03	ga_s2bm_ard_3-2-1_54HUK_2018-06-09_final
2018-07-16 11:46:03	ga_s2bm_ard_3-2-1_50KQG_2018-07-16_final.stac-item
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_50KLB_2018-08-08_final
2018-10-01 10:03:57	ga_s2bm_ard_3-2-1_54HVD_2018-10-01_final
2018-12-15 10:50:47	ga_s2bm_ard_3-2-1_53LNF_2018-12-15_final
2019-01-07 11:02:53	ga_s2bm_ard_3-2-1_52KHC_2019-01-07_final
2019-01-19 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final
2019-01-25 10:26:40	ga_s2bm_ard_3-2-1_54HUG_2019-01-25_final
2019-03-01 11:13:28	ga_s2bm_ard_3-2-1_52KEA_2019-03-01_final
2019-04-30 11:13:08	ga_s2bm_ard_3-2-1_52KEC_2019-04-30_final
2019-06-14 12:03:34	ga_s2bm_ard_3-2-1_50KLC_2019-06-14_final
2019-06-18 10:07:34	ga_s2bm_ard_3-2-1_54HWD_2019-06-18_final
2019-07-02 11:25:47	ga_s2bm_ard_3-2-1_51JXH_2019-07-02_final
2019-08-18 11:13:28	ga_s2bm_ard_3-2-1_52KCB_2019-08-18_final
2019-09-17 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2019-09-17_final
2019-09-22 10:26:32	ga_s2bm_ard_3-2-1_53HQC_2019-09-22_final
2019-10-25 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2019-10-25_final
2019-10-27 11:12:54	ga_s2bm_ard_3-2-1_52KCD_2019-10-27_final
2020-02-16 10:15:56	ga_s2bm_ard_3-2-1_54HXJ_2020-02-16_final
2020-02-25 10:43:16	ga_s2bm_ard_3-2-1_53KPR_2020-02-25_final
2020-03-23 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2020-03-23_final
2020-03-31 09:57:48	ga_s2bm_ard_3-2-1_54HYB_2020-03-31_final
2020-05-12 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2020-05-12_final
2020-05-22 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2020-05-22_final
2020-05-29 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-05-29_final
2020-06-05 10:17:27	ga_s2bm_ard_3-2-1_54HVD_2020-06-05_final
2020-07-28 10:26:35	ga_s2bm_ard_3-2-1_53HQC_2020-07-28_final
2020-08-15 11:23:20	ga_s2bm_ard_3-2-1_52KCB_2020-08-15_final
2020-09-07 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-09-07_final
2020-10-04 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2020-10-04_final
2020-10-04 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2020-10-04_final
2020-10-10 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-10-10_final
2020-10-11 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2020-10-11_final
2020-12-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2020-12-02_final
2020-12-29 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2020-12-29_final
2021-01-27 10:34:50	ga_s2bm_ard_3-2-1_53JPK_2021-01-27_final
2021-03-17 11:00:28	ga_s2bm_ard_3-2-1_53LKH_2021-03-17_final
2021-03-24 10:51:35	ga_s2bm_ard_3-2-1_53LNC_2021-03-24_final
2021-04-12 11:21:57	ga_s2bm_ard_3-2-1_52KDG_2021-04-12_final
2021-05-03 10:50:46	ga_s2bm_ard_3-2-1_53LPF_2021-05-03_final
2021-05-29 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2021-05-29_final
2021-07-04 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-07-04_final
2021-08-23 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-08-23_final
2021-08-24 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2021-08-24_final
2021-09-09 11:21:28	ga_s2bm_ard_3-2-1_52LDJ_2021-09-09_final
2021-09-13 11:02:55	ga_s2bm_ard_3-2-1_52KGC_2021-09-13_final
2021-11-08 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2021-11-08_final
2021-11-09 10:54:15	ga_s2bm_ard_3-2-1_52JGT_2021-11-09_final
2021-12-08 11:24:46	ga_s2bm_ard_3-2-1_51JYL_2021-12-08_final
2022-02-15 11:54:27	ga_s2bm_ard_3-2-1_50JPT_2022-02-15_final
2022-03-18 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2022-03-18_final
2022-04-10 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2022-04-10_final
2022-04-24 11:13:13	ga_s2bm_ard_3-2-1_52KDB_2022-04-24_final
2022-05-20 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-05-20_final
2022-07-04 10:45:52	ga_s2bm_ard_3-2-1_52JGM_2022-07-04_final
2022-09-14 11:24:53	ga_s2bm_ard_3-2-1_51JYL_2022-09-14_final.stac-item
2022-10-04 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2022-10-04_final.stac-item
2022-11-13 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2022-11-13_final.stac-item
2022-11-20 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2022-11-20_final.stac-item
2022-12-06 11:34:37	ga_s2bm_ard_3-2-1_51JWM_2022-12-06_final.stac-item
2022-12-23 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2022-12-23_final.stac-item
2023-01-08 10:06:22	ga_s2bm_ard_3-2-1_54HXH_2023-01-08_final.stac-item
2023-01-12 11:22:42	ga_s2bm_ard_3-2-1_51KZV_2023-01-12_final.stac-item
2023-06-08 11:13:45	ga_s2bm_ard_3-2-1_51KZR_2023-06-08_final.stac-item
2023-06-09 10:43:57	ga_s2bm_ard_3-2-1_53KNP_2023-06-09_final.stac-item
2023-07-26 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-07-26_final.stac-item
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final.stac-item
2023-08-18 10:46:10	ga_s2bm_ard_3-2-1_52JGL_2023-08-18_final.stac-item
2023-09-01 12:03:46	ga_s2bm_ard_3-2-1_50KLB_2023-09-01_final.stac-item
2023-10-09 11:23:07	ga_s2bm_ard_3-2-1_52KBC_2023-10-09_final.stac-item
2023-10-22 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-10-22_final.stac-item
2023-10-28 10:16:54	ga_s2bm_ard_3-2-1_54HWF_2023-10-28_final.stac-item
2023-11-08 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2023-11-08_final.stac-item
2023-11-12 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2023-11-12_final.stac-item
2023-11-28 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2023-11-28_final.stac-item
2024-01-26 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-01-26_final.stac-item
2024-02-02 10:07:00	ga_s2bm_ard_3-2-1_54HXE_2024-02-02_final.stac-item
2024-02-06 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2024-02-06_final.stac-item
2024-02-12 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2024-02-12_final.stac-item
2024-02-13 11:13:16	ga_s2bm_ard_3-2-1_52KEB_2024-02-13_final.stac-item
2024-02-13 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2024-02-13_final.stac-item
2024-02-17 10:51:25	ga_s2bm_ard_3-2-1_53LLD_2024-02-17_final.stac-item
2024-02-19 09:57:27	ga_s2bm_ard_3-2-1_54HXD_2024-02-19_final.stac-item
2024-03-04 11:13:11	ga_s2bm_ard_3-2-1_52KEB_2024-03-04_final.stac-item
2024-03-15 10:42:08	ga_s2bm_ard_3-2-1_53KNA_2024-03-15_final.stac-item
2024-03-27 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2024-03-27_final.stac-item
2024-04-07 10:54:46	ga_s2bm_ard_3-2-1_52JFR_2024-04-07_final.stac-item
2024-04-09 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2024-04-09_final.stac-item
2024-04-17 10:55:40	ga_s2bm_ard_3-2-1_53JKG_2024-04-17_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