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
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KUT_2017-07-25_final
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KWS_2017-09-03_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53JRN_2017-09-05_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGL_2017-11-01_final
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_53KKB_2017-12-10_final
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53KKB_2018-01-29_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_53HQC_2018-02-09_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51JUM_2018-03-05_final
2018-03-06 11:07:03	ga_s2bm_ard_3-2-1_52LFH_2018-03-06_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HMH_2018-07-03_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51JYN_2018-09-22_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HUD_2018-10-15_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JWM_2018-10-25_final
2018-12-17 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-17_final
2019-01-06 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2019-01-06_final
2019-01-18 10:35:44	ga_s2bm_ard_3-2-1_53JQF_2019-01-18_final
2019-02-13 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2019-02-13_final
2019-03-04 11:22:10	ga_s2bm_ard_3-2-1_52KDF_2019-03-04_final
2019-03-04 11:25:32	ga_s2bm_ard_3-2-1_51JYH_2019-03-04_final
2019-04-13 11:25:04	ga_s2bm_ard_3-2-1_51JWL_2019-04-13_final
2019-06-22 11:21:27	ga_s2bm_ard_3-2-1_51LZE_2019-06-22_final
2019-07-11 11:53:33	ga_s2bm_ard_3-2-1_50KNC_2019-07-11_final
2019-08-05 11:06:31	ga_s2bm_ard_3-2-1_52HBK_2019-08-05_final
2019-09-13 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2019-09-13_final
2019-09-23 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2019-09-23_final
2019-10-06 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2019-10-06_final
2019-10-27 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2019-10-27_final
2019-11-09 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2019-11-09_final
2019-11-12 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2019-11-12_final
2019-12-03 11:01:07	ga_s2bm_ard_3-2-1_53LKE_2019-12-03_final
2019-12-09 11:23:44	ga_s2bm_ard_3-2-1_52KBV_2019-12-09_final
2019-12-09 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2019-12-09_final
2020-01-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2020-01-04_final
2020-01-21 11:31:29	ga_s2bm_ard_3-2-1_51LZD_2020-01-21_final
2020-02-25 10:41:49	ga_s2bm_ard_3-2-1_53KPB_2020-02-25_final
2020-03-03 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2020-03-03_final
2020-03-18 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2020-03-18_final
2020-04-01 11:00:36	ga_s2bm_ard_3-2-1_52LHM_2020-04-01_final
2020-04-01 11:03:28	ga_s2bm_ard_3-2-1_52KFA_2020-04-01_final
2020-04-28 10:52:54	ga_s2bm_ard_3-2-1_53KKT_2020-04-28_final
2020-05-08 10:55:52	ga_s2bm_ard_3-2-1_53JKF_2020-05-08_final
2020-06-02 11:44:18	ga_s2bm_ard_3-2-1_50KRU_2020-06-02_final
2020-06-18 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2020-06-18_final
2020-06-24 10:41:51	ga_s2bm_ard_3-2-1_53KQB_2020-06-24_final
2020-09-06 10:26:43	ga_s2bm_ard_3-2-1_53HNC_2020-09-06_final
2020-09-06 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-09-06_final
2020-09-24 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2020-09-24_final
2020-09-26 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2020-09-26_final
2020-10-25 10:52:48	ga_s2bm_ard_3-2-1_53KNT_2020-10-25_final
2020-12-04 10:51:09	ga_s2bm_ard_3-2-1_53LME_2020-12-04_final
2021-01-07 10:34:32	ga_s2bm_ard_3-2-1_53JQL_2021-01-07_final
2021-01-19 11:12:17	ga_s2bm_ard_3-2-1_52KEF_2021-01-19_final
2021-01-26 11:05:26	ga_s2bm_ard_3-2-1_52JFN_2021-01-26_final
2021-02-01 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2021-02-01_final
2021-02-03 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-02-03_final
2021-02-07 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2021-02-07_final
2021-02-08 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2021-02-08_final
2021-04-25 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-04-25_final
2021-05-16 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2021-05-16_final
2021-06-21 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2021-06-21_final
2021-07-22 10:51:30	ga_s2bm_ard_3-2-1_53LLD_2021-07-22_final
2021-07-27 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2021-07-27_final
2021-08-03 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2021-08-03_final
2021-09-13 11:05:34	ga_s2bm_ard_3-2-1_52JCN_2021-09-13_final
2021-11-17 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2021-11-17_final
2021-12-23 10:36:05	ga_s2bm_ard_3-2-1_53HME_2021-12-23_final
2022-01-11 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2022-01-11_final
2022-01-18 10:54:55	ga_s2bm_ard_3-2-1_53JLK_2022-01-18_final
2022-01-23 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-01-23_final
2022-01-24 11:11:34	ga_s2bm_ard_3-2-1_52LGH_2022-01-24_final
2022-04-30 11:32:26	ga_s2bm_ard_3-2-1_51KVA_2022-04-30_final
2022-06-06 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2022-06-06_final
2022-06-08 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2022-06-08_final
2022-07-03 11:16:07	ga_s2bm_ard_3-2-1_52JCL_2022-07-03_final
2022-08-05 11:23:29	ga_s2bm_ard_3-2-1_51KYS_2022-08-05_final
2022-08-29 11:03:10	ga_s2bm_ard_3-2-1_52KHB_2022-08-29_final
2022-09-19 10:35:58	ga_s2bm_ard_3-2-1_53HQE_2022-09-19_final.stac-item
2022-11-24 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-11-24_final.stac-item
2022-12-17 11:06:33	ga_s2bm_ard_3-2-1_52HBJ_2022-12-17_nrt.stac-item
2023-01-07 10:32:34	ga_s2bm_ard_3-2-1_53KQU_2023-01-07_final.stac-item
2023-02-11 11:21:45	ga_s2bm_ard_3-2-1_52LDH_2023-02-11_final.stac-item
2023-03-26 11:31:07	ga_s2bm_ard_3-2-1_52LBL_2023-03-26_nrt.stac-item
2023-04-02 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-04-02_final.stac-item
2023-04-15 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2023-04-15_final.stac-item
2023-06-27 11:45:22	ga_s2bm_ard_3-2-1_50JQQ_2023-06-27_final.stac-item
2023-06-28 11:11:24	ga_s2bm_ard_3-2-1_52LEK_2023-06-28_final.stac-item
2023-07-12 10:50:43	ga_s2bm_ard_3-2-1_53LNG_2023-07-12_final.stac-item
2023-07-18 12:51:05	ga_s2bm_ard_3-2-1_48LWP_2023-07-18_final.stac-item
2023-07-27 11:46:14	ga_s2bm_ard_3-2-1_50JNM_2023-07-27_final.stac-item
2023-08-05 10:36:08	ga_s2bm_ard_3-2-1_53HPE_2023-08-05_final.stac-item
2023-08-05 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-08-05_final.stac-item
2023-08-17 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2023-08-17_final.stac-item
2023-11-03 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2023-11-03_final.stac-item
2023-11-29 10:54:30	ga_s2bm_ard_3-2-1_52JFS_2023-11-29_final.stac-item
2023-12-08 11:25:42	ga_s2bm_ard_3-2-1_51JVH_2023-12-08_final.stac-item
2023-12-09 10:54:35	ga_s2bm_ard_3-2-1_52JFS_2023-12-09_final.stac-item
2023-12-26 10:46:25	ga_s2bm_ard_3-2-1_53HLD_2023-12-26_final.stac-item
2024-01-21 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2024-01-21_final.stac-item
2024-02-23 11:16:20	ga_s2bm_ard_3-2-1_52HBK_2024-02-23_final.stac-item
2024-03-05 10:41:37	ga_s2bm_ard_3-2-1_53LNC_2024-03-05_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