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_53JNN_2017-07-20_final
2017-08-23 10:23:03	ga_s2bm_ard_3-2-1_54HTH_2017-08-23_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KWA_2018-02-20_final
2018-03-11 10:16:57	ga_s2bm_ard_3-2-1_53HPB_2018-03-11_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPJ_2018-04-24_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JNN_2018-05-26_final
2018-06-24 09:32:39	ga_s2bm_ard_3-2-1_55GEP_2018-06-24_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLM_2018-07-16_final
2018-11-19 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2018-11-19_final
2018-12-06 10:21:41	ga_s2bm_ard_3-2-1_54KVG_2018-12-06_final
2018-12-14 11:21:26	ga_s2bm_ard_3-2-1_52LDJ_2018-12-14_final
2018-12-25 10:50:45	ga_s2bm_ard_3-2-1_53LPF_2018-12-25_final
2018-12-30 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2018-12-30_final
2019-02-24 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2019-02-24_final.stac-item
2019-04-16 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2019-04-16_final
2019-04-18 10:34:20	ga_s2bm_ard_3-2-1_53JRM_2019-04-18_final
2019-04-25 10:24:41	ga_s2bm_ard_3-2-1_54JTR_2019-04-25_final
2019-05-08 10:33:57	ga_s2bm_ard_3-2-1_53KQP_2019-05-08_final
2019-05-18 10:33:54	ga_s2bm_ard_3-2-1_53KRP_2019-05-18_final
2019-05-25 10:22:57	ga_s2bm_ard_3-2-1_54KUC_2019-05-25_final
2019-05-27 09:28:46	ga_s2bm_ard_3-2-1_55GEP_2019-05-26_final
2019-07-07 10:34:34	ga_s2bm_ard_3-2-1_53JNM_2019-07-07_final
2019-08-01 09:48:28	ga_s2bm_ard_3-2-1_55GCQ_2019-08-01_final
2019-10-15 10:34:05	ga_s2bm_ard_3-2-1_53JQN_2019-10-15_final
2019-11-02 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-11-02_final
2019-12-12 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2019-12-12_final
2019-12-22 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2019-12-22_final
2019-12-22 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-22_final
2020-01-11 09:56:52	ga_s2bm_ard_3-2-1_54HXF_2020-01-11_final
2020-01-29 10:54:01	ga_s2bm_ard_3-2-1_53JLN_2020-01-29_final
2020-02-02 10:36:25	ga_s2bm_ard_3-2-1_53HPC_2020-02-02_final
2020-02-12 10:34:09	ga_s2bm_ard_3-2-1_53JRM_2020-02-12_final
2020-02-28 10:52:42	ga_s2bm_ard_3-2-1_52KHD_2020-02-28_final
2020-03-13 10:34:02	ga_s2bm_ard_3-2-1_53JQN_2020-03-13_final
2020-03-23 10:33:47	ga_s2bm_ard_3-2-1_53KQP_2020-03-23_final
2020-04-09 10:24:16	ga_s2bm_ard_3-2-1_54JTS_2020-04-09_final
2020-04-13 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2020-04-13_final
2020-06-04 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2020-06-04_final
2020-06-11 10:34:02	ga_s2bm_ard_3-2-1_54JTT_2020-06-11_final
2020-07-07 10:51:06	ga_s2bm_ard_3-2-1_53LPE_2020-07-07_final
2020-09-04 11:21:35	ga_s2bm_ard_3-2-1_52LDJ_2020-09-04_final
2020-09-29 10:30:58	ga_s2bm_ard_3-2-1_54LWK_2020-09-29_final
2020-11-12 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2020-11-12_final
2020-12-04 10:52:11	ga_s2bm_ard_3-2-1_53KLA_2020-12-04_final
2020-12-23 11:21:29	ga_s2bm_ard_3-2-1_52LDJ_2020-12-23_final
2021-01-08 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2021-01-08_final
2021-01-19 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2021-01-19_final
2021-02-12 10:50:48	ga_s2bm_ard_3-2-1_53LPF_2021-02-12_final
2021-02-13 10:23:13	ga_s2bm_ard_3-2-1_54KVA_2021-02-13_final
2021-05-01 10:17:07	ga_s2bm_ard_3-2-1_54HVE_2021-05-01_final
2021-05-04 10:19:56	ga_s2bm_ard_3-2-1_54LXP_2021-05-04_final
2021-06-03 10:25:21	ga_s2bm_ard_3-2-1_53JQH_2021-06-03_final
2021-06-17 10:07:23	ga_s2bm_ard_3-2-1_54HXD_2021-06-17_final
2021-07-04 09:57:42	ga_s2bm_ard_3-2-1_54HXC_2021-07-04_final
2021-08-15 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2021-08-15_final
2021-08-29 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2021-08-29_final
2021-09-14 10:33:41	ga_s2bm_ard_3-2-1_54KTU_2021-09-14_final
2021-10-11 10:26:47	ga_s2bm_ard_3-2-1_53HQB_2021-10-11_final
2021-10-16 11:15:44	ga_s2bm_ard_3-2-1_52JBN_2021-10-16_final
2021-11-03 10:31:50	ga_s2bm_ard_3-2-1_54KTG_2021-11-03_final
2021-11-14 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-11-14_final.stac-item
2021-12-13 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2021-12-13_final
2021-12-21 09:57:31	ga_s2bm_ard_3-2-1_54HYC_2021-12-21_final
2022-01-06 10:17:25	ga_s2bm_ard_3-2-1_54HUD_2022-01-06_final.stac-item
2022-02-20 11:00:20	ga_s2bm_ard_3-2-1_53LLH_2022-02-20_final.stac-item
2022-02-22 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-02-22_final
2022-03-04 11:42:16	ga_s2bm_ard_3-2-1_51KWA_2022-03-04_final
2022-03-23 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2022-03-23_final
2022-04-22 10:33:54	ga_s2bm_ard_3-2-1_53JRN_2022-04-22_final
2022-05-12 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2022-05-12_final
2022-08-07 10:26:55	ga_s2bm_ard_3-2-1_53HPB_2022-08-07_final
2022-08-31 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2022-08-31_final
2022-09-28 11:02:40	ga_s2bm_ard_3-2-1_52KGD_2022-09-28_final.stac-item
2022-10-20 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-10-20_final.stac-item
2022-11-22 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2022-11-22_final.stac-item
2022-12-16 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-12-16_final.stac-item
2023-01-04 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2023-01-04_final.stac-item
2023-01-21 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2023-01-21_final.stac-item
2023-01-26 11:02:01	ga_s2bm_ard_3-2-1_53KLA_2023-01-26_final.stac-item
2023-02-06 10:32:31	ga_s2bm_ard_3-2-1_53KRU_2023-02-06_final.stac-item
2023-03-08 10:34:40	ga_s2bm_ard_3-2-1_53JPL_2023-03-08_final.stac-item
2023-03-08 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-03-08_final.stac-item
2023-03-19 10:07:19	ga_s2bm_ard_3-2-1_54HVE_2023-03-19_final.stac-item
2023-05-17 10:33:50	ga_s2bm_ard_3-2-1_53KRP_2023-05-17_final.stac-item
2023-06-07 11:46:27	ga_s2bm_ard_3-2-1_50JNL_2023-06-07_final.stac-item
2023-06-24 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-06-24_final.stac-item
2023-07-07 10:07:27	ga_s2bm_ard_3-2-1_54HXD_2023-07-07_final.stac-item
2023-12-13 10:34:16	ga_s2bm_ard_3-2-1_53JQM_2023-12-13_final.stac-item
2024-01-10 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2024-01-10_final.stac-item
2024-01-11 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2024-01-11_final.stac-item
2024-01-11 11:02:37	ga_s2bm_ard_3-2-1_53KKU_2024-01-11_final.stac-item
2024-01-28 10:50:19	ga_s2bm_ard_3-2-1_53LPH_2024-01-28_final.stac-item
2024-02-05 10:17:02	ga_s2bm_ard_3-2-1_54HTF_2024-02-05_final.stac-item
2024-02-11 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2024-02-11_final.stac-item
2024-03-19 10:23:36	ga_s2bm_ard_3-2-1_54KTV_2024-03-19_final.stac-item
2024-04-06 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2024-04-06_final.stac-item
2024-05-01 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2024-05-01_final.stac-item
2024-05-11 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2024-05-11_final.stac-item
2024-05-19 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2024-05-19_final.stac-item
2024-05-28 10:24:15	ga_s2bm_ard_3-2-1_54JTS_2024-05-28_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