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
2017-07-20 10:43:06	ga_s2bm_ard_3-2-1_53JKF_2017-07-20_final
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53JPM_2017-08-09_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KVU_2017-08-27_final
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_54HUH_2017-09-19_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52KEB_2017-11-16_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51JVK_2017-12-19_final
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_53KPP_2017-12-27_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54HUE_2018-01-07_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KVU_2018-02-03_final
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNL_2018-03-25_final
2018-04-05 11:07:09	ga_s2bm_ard_3-2-1_52LFM_2018-04-05_final.stac-item
2018-04-24 09:57:06	ga_s2bm_ard_3-2-1_54HXC_2018-04-24_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXU_2018-05-18_final
2018-06-13 10:05:08	ga_s2bm_ard_3-2-1_54HXE_2018-06-13_final
2018-06-19 10:17:04	ga_s2bm_ard_3-2-1_53JQL_2018-06-19_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLR_2018-08-05_final
2018-08-08 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-08-08_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KWR_2018-08-29_final
2018-12-02 10:41:04	ga_s2bm_ard_3-2-1_53LPE_2018-12-02_final
2019-01-02 10:15:20	ga_s2bm_ard_3-2-1_54JXM_2019-01-02_final
2019-02-28 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-02-28_final.stac-item
2019-03-18 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2019-03-18_final
2019-03-26 10:20:46	ga_s2bm_ard_3-2-1_54LWL_2019-03-26_final
2019-03-30 10:04:34	ga_s2bm_ard_3-2-1_54JXR_2019-03-30_final
2019-04-29 10:07:29	ga_s2bm_ard_3-2-1_54HXD_2019-04-29_final
2019-05-02 10:16:56	ga_s2bm_ard_3-2-1_54HTG_2019-05-02_final
2019-05-06 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-06_final
2019-05-08 10:36:11	ga_s2bm_ard_3-2-1_53HPE_2019-05-08_final
2019-07-05 11:33:25	ga_s2bm_ard_3-2-1_51KVT_2019-07-05_final
2019-07-12 11:23:34	ga_s2bm_ard_3-2-1_51KYS_2019-07-12_final
2019-08-11 11:23:20	ga_s2bm_ard_3-2-1_51KXT_2019-08-11_final
2019-11-15 11:41:17	ga_s2bm_ard_3-2-1_51LUF_2019-11-15_final
2020-01-23 10:32:30	ga_s2bm_ard_3-2-1_53KQU_2020-01-23_final
2020-03-03 10:31:58	ga_s2bm_ard_3-2-1_54KUF_2020-03-03_final
2020-03-10 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-10_final
2020-03-24 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-03-24_final
2020-03-25 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2020-03-25_final
2020-05-18 10:50:34	ga_s2bm_ard_3-2-1_53LPG_2020-05-18_final
2020-05-26 10:16:01	ga_s2bm_ard_3-2-1_54HXJ_2020-05-26_final
2020-07-12 10:07:17	ga_s2bm_ard_3-2-1_54HVE_2020-07-12_final
2020-07-20 11:03:00	ga_s2bm_ard_3-2-1_52KGC_2020-07-20_final
2020-07-29 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-07-29_final
2020-08-30 10:34:25	ga_s2bm_ard_3-2-1_53JPM_2020-08-30_final
2020-09-20 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2020-09-20_final.stac-item
2020-09-27 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-09-27_final
2020-11-09 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2020-11-09_final
2020-12-19 11:44:09	ga_s2bm_ard_3-2-1_51KUP_2020-12-19_final
2020-12-19 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2020-12-19_final
2021-01-28 10:07:07	ga_s2bm_ard_3-2-1_54HXE_2021-01-28_final
2021-02-02 10:50:56	ga_s2bm_ard_3-2-1_53LMF_2021-02-02_final
2021-03-28 10:36:38	ga_s2bm_ard_3-2-1_53HMC_2021-03-28_final.stac-item
2021-03-29 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2021-03-29_final
2021-05-03 10:50:17	ga_s2bm_ard_3-2-1_53LPH_2021-05-03_final.stac-item
2021-05-07 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2021-05-07_final
2021-05-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-05-18_final
2021-05-26 11:05:58	ga_s2bm_ard_3-2-1_52JBM_2021-05-26_final
2021-05-27 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2021-05-27_final
2021-05-28 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2021-05-28_final
2021-06-01 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2021-06-01_final
2021-06-12 10:55:18	ga_s2bm_ard_3-2-1_52JFP_2021-06-12_final
2021-07-17 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2021-07-17_final
2021-07-30 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2021-07-30_final.stac-item
2021-08-01 10:51:05	ga_s2bm_ard_3-2-1_53LPE_2021-08-01_final
2021-08-09 11:53:00	ga_s2bm_ard_3-2-1_50KRD_2021-08-09_final
2021-09-12 11:34:36	ga_s2bm_ard_3-2-1_51JWM_2021-09-12_final
2021-09-13 11:04:32	ga_s2bm_ard_3-2-1_52JGR_2021-09-13_final
2021-10-27 10:46:07	ga_s2bm_ard_3-2-1_53HME_2021-10-27_final
2021-11-17 10:16:44	ga_s2bm_ard_3-2-1_54HUG_2021-11-17_final
2021-12-04 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-12-04_final
2022-01-10 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2022-01-10_final
2022-01-21 11:00:40	ga_s2bm_ard_3-2-1_52LHM_2022-01-21_final
2022-01-28 10:50:58	ga_s2bm_ard_3-2-1_53LPE_2022-01-28_final
2022-02-14 10:44:10	ga_s2bm_ard_3-2-1_53JPM_2022-02-14_final
2022-06-08 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2022-06-08_final
2022-07-15 10:17:07	ga_s2bm_ard_3-2-1_54HWE_2022-07-15_final
2022-08-29 11:01:09	ga_s2bm_ard_3-2-1_53LLE_2022-08-29_final
2022-10-10 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-10-10_final.stac-item
2022-11-04 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2022-11-04_final.stac-item
2022-11-18 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2022-11-18_final.stac-item
2022-11-21 10:46:09	ga_s2bm_ard_3-2-1_53HLE_2022-11-21_final.stac-item
2022-12-22 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2022-12-22_final.stac-item
2022-12-26 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2022-12-26_final.stac-item
2022-12-27 11:01:38	ga_s2bm_ard_3-2-1_52LFJ_2022-12-27_final.stac-item
2023-01-07 10:36:44	ga_s2bm_ard_3-2-1_53HPB_2023-01-07_final.stac-item
2023-02-01 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2023-02-01_final.stac-item
2023-02-11 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2023-02-11_final.stac-item
2023-02-17 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-02-17_final.stac-item
2023-02-20 10:17:37	ga_s2bm_ard_3-2-1_54HVC_2023-02-20_final.stac-item
2023-02-21 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2023-02-21_final.stac-item
2023-04-14 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2023-04-14_final.stac-item
2023-04-23 10:51:06	ga_s2bm_ard_3-2-1_53LPE_2023-04-23_final.stac-item
2023-06-08 11:10:34	ga_s2bm_ard_3-2-1_52LGN_2023-06-08_final.stac-item
2023-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-17_final.stac-item
2023-06-27 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-27_final.stac-item
2023-08-18 10:44:12	ga_s2bm_ard_3-2-1_53JNN_2023-08-18_final.stac-item
2023-09-24 10:33:56	ga_s2bm_ard_3-2-1_53KPP_2023-09-24_final.stac-item
2023-11-28 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2023-11-28_final.stac-item
2023-12-21 11:36:03	ga_s2bm_ard_3-2-1_51JVG_2023-12-21_final.stac-item
2024-02-06 11:22:16	ga_s2bm_ard_3-2-1_51KYA_2024-02-06_final.stac-item
2024-03-14 11:13:11	ga_s2bm_ard_3-2-1_52KBC_2024-03-14_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