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
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JNL_2017-08-30_final
2017-09-05 10:32:04	ga_s2bm_ard_3-2-1_53HQE_2017-09-05_final
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_54HXF_2017-11-02_final
2017-11-04 10:32:19	ga_s2bm_ard_3-2-1_53JNN_2017-11-04_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYK_2017-11-06_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JWG_2017-11-09_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JML_2017-11-28_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53KQP_2017-12-14_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYS_2017-12-29_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_52LBJ_2018-01-08_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KEA_2018-02-01_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KWB_2018-02-03_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JXG_2018-02-07_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50JQN_2018-02-20_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JCN_2018-06-01_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KMV_2018-06-06_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53JNM_2018-07-05_final
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KHR_2018-07-22_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JNN_2018-10-01_final
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HPK_2018-10-18_final
2018-10-26 10:50:30	ga_s2bm_ard_3-2-1_53JKL_2018-10-26_final
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_53JQF_2018-10-27_final
2018-11-09 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2018-11-09_final
2018-11-20 10:06:21	ga_s2bm_ard_3-2-1_54HXH_2018-11-20_final
2019-01-23 11:22:12	ga_s2bm_ard_3-2-1_52KDF_2019-01-23_final
2019-03-14 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-03-14_final
2019-03-26 10:24:41	ga_s2bm_ard_3-2-1_53JQL_2019-03-26_final
2019-06-11 11:54:59	ga_s2bm_ard_3-2-1_50JNS_2019-06-11_final
2019-07-01 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-07-01_final
2019-07-05 11:33:25	ga_s2bm_ard_3-2-1_51KVT_2019-07-05_final
2019-07-15 09:57:20	ga_s2bm_ard_3-2-1_54HXE_2019-07-15_final
2019-07-17 10:34:12	ga_s2bm_ard_3-2-1_53JQN_2019-07-17_final
2019-07-29 11:14:37	ga_s2bm_ard_3-2-1_51JYN_2019-07-29_final
2019-08-14 11:36:17	ga_s2bm_ard_3-2-1_51JVF_2019-08-14_final
2019-08-26 10:34:18	ga_s2bm_ard_3-2-1_53JNN_2019-08-26_final
2019-09-15 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2019-09-15_final
2019-11-04 10:34:29	ga_s2bm_ard_3-2-1_54JTR_2019-11-04_final
2019-11-14 10:34:13	ga_s2bm_ard_3-2-1_53JNN_2019-11-14_final
2020-01-05 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2020-01-05_final
2020-01-11 11:34:52	ga_s2bm_ard_3-2-1_51JVL_2020-01-11_final
2020-01-22 11:01:07	ga_s2bm_ard_3-2-1_52LHK_2020-01-22_final
2020-02-09 10:24:13	ga_s2bm_ard_3-2-1_53JRM_2020-02-09_final
2020-04-05 10:44:18	ga_s2bm_ard_3-2-1_53JNM_2020-04-05_final
2020-04-06 11:53:28	ga_s2bm_ard_3-2-1_50KMC_2020-04-06_final
2020-04-07 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2020-04-07_final
2020-04-16 11:54:43	ga_s2bm_ard_3-2-1_50JPS_2020-04-16_final
2020-05-22 10:36:47	ga_s2bm_ard_3-2-1_53HPB_2020-05-22_final
2020-06-09 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2020-06-09_final
2020-08-03 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2020-08-03_final
2020-09-26 10:27:02	ga_s2bm_ard_3-2-1_54HTF_2020-09-26_final
2020-09-27 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2020-09-27_final
2020-10-05 10:56:04	ga_s2bm_ard_3-2-1_52JFL_2020-10-05_final
2020-10-30 11:44:30	ga_s2bm_ard_3-2-1_51JUN_2020-10-30_final
2020-11-20 11:15:04	ga_s2bm_ard_3-2-1_52JCQ_2020-11-20_final
2020-11-20 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2020-11-20_final
2020-11-30 11:15:32	ga_s2bm_ard_3-2-1_52JCN_2020-11-30_final
2020-12-13 11:22:59	ga_s2bm_ard_3-2-1_52KCC_2020-12-13_final
2020-12-23 11:21:32	ga_s2bm_ard_3-2-1_52LCJ_2020-12-23_final
2021-01-29 11:12:06	ga_s2bm_ard_3-2-1_52KDG_2021-01-29_final
2021-02-11 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2021-02-11_final
2021-02-23 10:26:45	ga_s2bm_ard_3-2-1_53HQB_2021-02-23_final
2021-04-15 09:57:41	ga_s2bm_ard_3-2-1_54HWC_2021-04-15_final
2021-05-04 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2021-05-04_final
2021-05-17 10:34:13	ga_s2bm_ard_3-2-1_53JNN_2021-05-17_final
2021-06-01 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2021-06-01_final
2021-06-03 12:04:25	ga_s2bm_ard_3-2-1_50KMU_2021-06-03_final
2021-07-26 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-07-26_final
2021-08-24 11:01:16	ga_s2bm_ard_3-2-1_52LHK_2021-08-24_final
2021-09-14 10:34:25	ga_s2bm_ard_3-2-1_54JTR_2021-09-14_final
2021-11-01 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-11-01_final
2021-11-18 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2021-11-18_final
2021-11-24 10:05:41	ga_s2bm_ard_3-2-1_54JWL_2021-11-24_final
2021-11-26 10:46:16	ga_s2bm_ard_3-2-1_53HMD_2021-11-26_final
2022-01-23 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-01-23_final
2022-04-18 10:54:40	ga_s2bm_ard_3-2-1_52JGR_2022-04-18_final
2022-04-28 10:54:45	ga_s2bm_ard_3-2-1_53JLK_2022-04-28_final
2022-06-29 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2022-06-29_final
2022-10-27 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-10-27_final.stac-item
2022-10-28 11:05:47	ga_s2bm_ard_3-2-1_52JDM_2022-10-28_final.stac-item
2022-10-30 10:05:43	ga_s2bm_ard_3-2-1_54JWL_2022-10-30_final.stac-item
2022-12-08 10:34:00	ga_s2bm_ard_3-2-1_53JQN_2022-12-08_final.stac-item
2022-12-24 10:50:59	ga_s2bm_ard_3-2-1_53LLF_2022-12-24_final.stac-item
2023-05-01 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2023-05-01_final.stac-item
2023-05-02 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-05-02_nrt.stac-item
2023-05-20 10:44:11	ga_s2bm_ard_3-2-1_53JNN_2023-05-20_final.stac-item
2023-05-24 10:26:51	ga_s2bm_ard_3-2-1_53HQB_2023-05-24_final.stac-item
2023-05-31 10:16:03	ga_s2bm_ard_3-2-1_54HVK_2023-05-31_final.stac-item
2023-06-18 11:13:56	ga_s2bm_ard_3-2-1_52KCV_2023-06-18_final.stac-item
2023-06-28 11:15:29	ga_s2bm_ard_3-2-1_51JYJ_2023-06-28_final.stac-item
2023-07-07 11:46:59	ga_s2bm_ard_3-2-1_50HQH_2023-07-07_final.stac-item
2023-07-16 10:34:38	ga_s2bm_ard_3-2-1_53JQL_2023-07-16_final.stac-item
2023-07-22 10:52:37	ga_s2bm_ard_3-2-1_52KHE_2023-07-22_final.stac-item
2023-07-23 10:26:33	ga_s2bm_ard_3-2-1_54HUH_2023-07-23_final.stac-item
2023-08-03 11:35:17	ga_s2bm_ard_3-2-1_51JVK_2023-08-03_final.stac-item
2023-08-21 10:50:39	ga_s2bm_ard_3-2-1_53LPG_2023-08-21_final.stac-item
2023-12-08 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2023-12-08_final.stac-item
2024-02-11 10:34:48	ga_s2bm_ard_3-2-1_53JQK_2024-02-11_final.stac-item
2024-03-27 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2024-03-27_final.stac-item
2024-04-08 10:27:00	ga_s2bm_ard_3-2-1_53HQA_2024-04-08_final.stac-item
2024-05-01 10:36:36	ga_s2bm_ard_3-2-1_53HNC_2024-05-01_nrt.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