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
2017-07-03 10:52:16	ga_s2bm_ard_3-2-1_52KHC_2017-07-03_final
2017-09-12 10:22:58	ga_s2bm_ard_3-2-1_53JRM_2017-09-12_final
2017-10-11 10:52:02	ga_s2bm_ard_3-2-1_52KHB_2017-10-11_final
2017-10-12 10:26:23	ga_s2bm_ard_3-2-1_53HNB_2017-10-12_final
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_53HPA_2017-12-24_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KTS_2017-12-25_final
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53KLA_2018-01-19_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JXF_2018-02-07_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52LBH_2018-02-17_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HUD_2018-02-17_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JML_2018-02-26_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKM_2018-03-01_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JPL_2018-05-03_final
2018-05-10 10:17:04	ga_s2bm_ard_3-2-1_53HQC_2018-05-10_final
2018-05-22 10:57:13	ga_s2bm_ard_3-2-1_52KFB_2018-05-22_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JPS_2018-06-06_final
2018-07-06 10:16:19	ga_s2bm_ard_3-2-1_53HQB_2018-07-06_final
2018-08-01 10:31:02	ga_s2bm_ard_3-2-1_53JQN_2018-08-01_final
2018-08-04 10:40:09	ga_s2bm_ard_3-2-1_53JNN_2018-08-04_final
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53JQN_2018-08-11_final
2018-08-23 11:07:12	ga_s2bm_ard_3-2-1_52LHM_2018-08-23_final
2019-01-20 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2019-01-20_final.stac-item
2019-03-24 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2019-03-24_final
2019-04-03 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2019-04-03_final
2019-04-12 11:54:53	ga_s2bm_ard_3-2-1_50JPS_2019-04-12_final
2019-04-19 11:46:32	ga_s2bm_ard_3-2-1_50JML_2019-04-19_final
2019-09-08 10:44:23	ga_s2bm_ard_3-2-1_53JNM_2019-09-08_final
2019-09-18 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2019-09-18_final
2019-09-21 10:53:27	ga_s2bm_ard_3-2-1_53KKR_2019-09-21_final
2019-12-17 10:44:01	ga_s2bm_ard_3-2-1_53JNN_2019-12-17_final
2020-01-05 11:13:14	ga_s2bm_ard_3-2-1_52KDB_2020-01-05_final
2020-01-11 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2020-01-11_final
2020-01-18 11:22:54	ga_s2bm_ard_3-2-1_51KXU_2020-01-18_final
2020-01-22 11:02:33	ga_s2bm_ard_3-2-1_53KKU_2020-01-22_final
2020-02-01 11:02:11	ga_s2bm_ard_3-2-1_52KFF_2020-02-01_final
2020-04-02 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2020-04-02_final
2020-04-09 10:26:37	ga_s2bm_ard_3-2-1_53HNC_2020-04-09_final
2020-04-14 11:15:58	ga_s2bm_ard_3-2-1_52JCL_2020-04-14_final
2020-06-01 10:34:05	ga_s2bm_ard_3-2-1_53JQN_2020-06-01_final
2020-07-11 10:34:05	ga_s2bm_ard_3-2-1_53JQN_2020-07-11_final
2020-08-17 10:25:38	ga_s2bm_ard_3-2-1_53JQG_2020-08-17_final
2020-09-10 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-09-10_final
2020-10-06 10:25:09	ga_s2bm_ard_3-2-1_53JQJ_2020-10-06_final
2020-11-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-11-02_final
2020-11-03 11:24:00	ga_s2bm_ard_3-2-1_51KXQ_2020-11-03_final
2020-12-09 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-12-09_final
2021-01-22 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2021-01-22_final
2021-01-24 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2021-01-24_final
2021-03-19 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-03-19_final
2021-03-20 11:11:44	ga_s2bm_ard_3-2-1_52LFH_2021-03-20_final
2021-05-04 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2021-05-04_final
2021-05-24 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-05-24_final
2021-06-01 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2021-06-01_final
2021-06-04 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-06-04_final
2021-06-28 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2021-06-28_final
2021-07-30 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2021-07-30_final
2021-09-02 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2021-09-02_final
2021-10-07 10:44:17	ga_s2bm_ard_3-2-1_53JPM_2021-10-07_final
2021-12-27 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2021-12-27_final
2022-01-14 11:12:31	ga_s2bm_ard_3-2-1_52KDE_2022-01-14_final
2022-01-17 11:24:22	ga_s2bm_ard_3-2-1_51JXN_2022-01-17_final
2022-01-21 11:04:27	ga_s2bm_ard_3-2-1_52JES_2022-01-21_final
2022-02-03 11:13:45	ga_s2bm_ard_3-2-1_52KCV_2022-02-03_final
2022-03-28 11:26:23	ga_s2bm_ard_3-2-1_51HWE_2022-03-28_final
2022-04-20 11:36:38	ga_s2bm_ard_3-2-1_51HUD_2022-04-20_final
2022-05-16 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2022-05-16_final
2022-06-01 10:33:59	ga_s2bm_ard_3-2-1_53JRN_2022-06-01_final
2022-06-21 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2022-06-21_final
2022-10-22 10:44:34	ga_s2bm_ard_3-2-1_53JNL_2022-10-22_final.stac-item
2022-11-23 11:21:53	ga_s2bm_ard_3-2-1_52LBH_2022-11-23_final.stac-item
2022-11-27 11:06:03	ga_s2bm_ard_3-2-1_52JDL_2022-11-27_final.stac-item
2022-12-30 11:12:45	ga_s2bm_ard_3-2-1_52KED_2022-12-30_final.stac-item
2023-01-09 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2023-01-09_final.stac-item
2023-01-15 11:31:26	ga_s2bm_ard_3-2-1_52LBJ_2023-01-15_final.stac-item
2023-01-27 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2023-01-27_final.stac-item
2023-03-23 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2023-03-23_final.stac-item
2023-03-31 10:44:57	ga_s2bm_ard_3-2-1_53JMK_2023-03-31_final.stac-item
2023-03-31 10:46:24	ga_s2bm_ard_3-2-1_53HMD_2023-03-31_final.stac-item
2023-04-12 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2023-04-12_final.stac-item
2023-04-24 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-04-24_final.stac-item
2023-05-01 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-05-01_final.stac-item
2023-05-02 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2023-05-02_final.stac-item
2023-05-24 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2023-05-24_final.stac-item
2023-07-06 10:34:19	ga_s2bm_ard_3-2-1_53JRM_2023-07-06_final.stac-item
2023-08-15 10:34:09	ga_s2bm_ard_3-2-1_53JQN_2023-08-15_final.stac-item
2023-09-06 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-09-06_final.stac-item
2023-11-05 11:13:47	ga_s2bm_ard_3-2-1_52KEV_2023-11-05_final.stac-item
2023-12-09 10:54:39	ga_s2bm_ard_3-2-1_53JKL_2023-12-09_final.stac-item
2023-12-20 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2023-12-20_final.stac-item
2023-12-23 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2023-12-23_final.stac-item
2024-01-05 10:46:00	ga_s2bm_ard_3-2-1_52JGL_2024-01-05_final.stac-item
2024-01-12 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2024-01-12_final.stac-item
2024-01-19 10:24:18	ga_s2bm_ard_3-2-1_53JRM_2024-01-19_final.stac-item
2024-02-15 11:57:13	ga_s2bm_ard_3-2-1_50HKH_2024-02-15_nrt.stac-item
2024-02-20 11:02:27	ga_s2bm_ard_3-2-1_52KHE_2024-02-20_final.stac-item
2024-02-23 11:16:20	ga_s2bm_ard_3-2-1_52HBK_2024-02-23_final.stac-item
2024-02-25 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2024-02-25_final.stac-item
2024-03-13 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2024-03-13_final.stac-item
2024-03-20 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2024-03-20_final.stac-item
2024-04-03 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2024-04-03_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