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
2017-07-06 11:02:11	ga_s2bm_ard_3-2-1_52KEB_2017-07-06_final
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_53HQC_2017-07-14_final
2017-07-26 11:02:11	ga_s2bm_ard_3-2-1_52KGV_2017-07-26_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JKF_2017-09-18_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWS_2017-12-02_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCA_2017-12-06_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KYT_2017-12-12_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53KNP_2018-01-26_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KVT_2018-03-12_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JFS_2018-05-02_final
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49JGM_2018-06-12_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNH_2018-06-23_final
2018-07-19 12:02:47	ga_s2bm_ard_3-2-1_50KNC_2018-07-19_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KVQ_2018-07-30_final
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_51HXE_2018-11-01_final
2018-11-09 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2018-11-09_final
2018-11-18 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2018-11-18_final
2018-11-19 10:32:30	ga_s2bm_ard_3-2-1_53KRU_2018-11-19_final
2019-02-05 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2019-02-05_final
2019-03-31 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2019-03-31_final.stac-item
2019-04-14 10:55:44	ga_s2bm_ard_3-2-1_53JKG_2019-04-14_final
2019-06-29 11:13:27	ga_s2bm_ard_3-2-1_52KDB_2019-06-29_final
2019-07-02 11:25:47	ga_s2bm_ard_3-2-1_51JXH_2019-07-02_final
2019-07-16 11:03:03	ga_s2bm_ard_3-2-1_53KKT_2019-07-16_final
2019-07-22 11:23:58	ga_s2bm_ard_3-2-1_51KZQ_2019-07-22_final
2019-08-02 10:53:07	ga_s2bm_ard_3-2-1_52KHC_2019-08-02_final
2019-10-14 11:03:21	ga_s2bm_ard_3-2-1_52KEB_2019-10-14_final
2019-11-23 11:01:40	ga_s2bm_ard_3-2-1_52LHH_2019-11-23_final
2019-11-23 11:04:18	ga_s2bm_ard_3-2-1_52JDT_2019-11-23_final
2019-11-24 10:33:31	ga_s2bm_ard_3-2-1_53KQQ_2019-11-24_final
2019-12-16 11:14:15	ga_s2bm_ard_3-2-1_52JCT_2019-12-16_final
2019-12-22 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2019-12-22_final
2020-01-28 11:25:35	ga_s2bm_ard_3-2-1_51JWH_2020-01-28_final
2020-02-10 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2020-02-10_final
2020-03-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2020-03-14_final
2020-04-08 10:54:18	ga_s2bm_ard_3-2-1_52JFT_2020-04-08_final
2020-04-30 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2020-04-30_final
2020-08-29 11:02:29	ga_s2bm_ard_3-2-1_52KHE_2020-08-29_final
2020-08-31 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2020-08-31_final
2020-08-31 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2020-08-31_final
2020-10-12 10:46:13	ga_s2bm_ard_3-2-1_53HLE_2020-10-12_final
2020-10-19 10:35:52	ga_s2bm_ard_3-2-1_53JPF_2020-10-19_final
2020-11-16 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2020-11-16_final
2020-11-20 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2020-11-20_final
2020-12-17 11:05:44	ga_s2bm_ard_3-2-1_52JDM_2020-12-17_final
2021-01-27 10:35:41	ga_s2bm_ard_3-2-1_53JMG_2021-01-27_final
2021-02-03 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2021-02-03_final
2021-03-09 11:42:29	ga_s2bm_ard_3-2-1_51KUA_2021-03-09_final
2021-03-21 10:42:42	ga_s2bm_ard_3-2-1_53KMU_2021-03-21_final
2021-04-24 10:26:35	ga_s2bm_ard_3-2-1_53HNC_2021-04-24_final
2021-05-04 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2021-05-04_final
2021-05-16 11:03:04	ga_s2bm_ard_3-2-1_52KEC_2021-05-16_final
2021-06-03 10:26:37	ga_s2bm_ard_3-2-1_53HPC_2021-06-03_final
2021-07-19 10:44:12	ga_s2bm_ard_3-2-1_53JMN_2021-07-19_final
2021-07-21 11:26:07	ga_s2bm_ard_3-2-1_51JUG_2021-07-21_final
2021-07-24 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2021-07-24_final
2021-08-08 10:45:45	ga_s2bm_ard_3-2-1_53JKG_2021-08-08_final
2021-10-07 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2021-10-07_final
2021-10-29 11:22:39	ga_s2bm_ard_3-2-1_51KZV_2021-10-29_final
2021-11-22 11:03:46	ga_s2bm_ard_3-2-1_52KDV_2021-11-22_final
2021-12-15 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2021-12-15_final
2021-12-28 11:23:02	ga_s2bm_ard_3-2-1_52KBC_2021-12-28_final
2021-12-29 10:55:56	ga_s2bm_ard_3-2-1_52JFL_2021-12-29_final
2022-02-12 11:42:58	ga_s2bm_ard_3-2-1_50KRD_2022-02-12_final
2022-02-19 11:32:31	ga_s2bm_ard_3-2-1_51KYV_2022-02-19_final
2022-03-12 11:06:35	ga_s2bm_ard_3-2-1_51HYD_2022-03-12_final
2022-04-02 12:14:04	ga_s2bm_ard_3-2-1_50KKV_2022-04-02_final
2022-04-14 11:13:48	ga_s2bm_ard_3-2-1_52KCV_2022-04-14_final
2022-05-20 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2022-05-20_final
2022-06-24 10:44:21	ga_s2bm_ard_3-2-1_53JPM_2022-06-24_final
2022-07-20 11:04:52	ga_s2bm_ard_3-2-1_52JER_2022-07-20_final
2022-07-23 11:10:42	ga_s2bm_ard_3-2-1_52LHM_2022-07-23_final
2022-08-20 10:36:30	ga_s2bm_ard_3-2-1_53HLD_2022-08-20_final
2022-09-20 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2022-09-20_final.stac-item
2022-10-04 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2022-10-04_final.stac-item
2022-10-06 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-10-06_final.stac-item
2022-10-19 10:34:46	ga_s2bm_ard_3-2-1_53JQK_2022-10-19_final.stac-item
2022-10-30 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-10-30_final.stac-item
2022-12-28 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2022-12-28_final.stac-item
2023-01-12 11:22:42	ga_s2bm_ard_3-2-1_51KZV_2023-01-12_final.stac-item
2023-01-21 11:53:29	ga_s2bm_ard_3-2-1_50KQB_2023-01-21_final.stac-item
2023-02-12 10:54:20	ga_s2bm_ard_3-2-1_52JFT_2023-02-12_final.stac-item
2023-02-28 11:16:21	ga_s2bm_ard_3-2-1_52HBK_2023-02-28_final.stac-item
2023-03-27 11:05:48	ga_s2bm_ard_3-2-1_52JEM_2023-03-27_final.stac-item
2023-05-31 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-05-31_final.stac-item
2023-06-20 11:53:47	ga_s2bm_ard_3-2-1_50KNB_2023-06-20_final.stac-item
2023-08-01 10:55:33	ga_s2bm_ard_3-2-1_52JGN_2023-08-01_final.stac-item
2023-09-05 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-09-05_final.stac-item
2023-11-15 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2023-11-15_final.stac-item
2023-12-02 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2023-12-02_final.stac-item
2023-12-28 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2023-12-28_final.stac-item
2024-02-01 10:33:50	ga_s2bm_ard_3-2-1_53KPP_2024-02-01_final.stac-item
2024-02-09 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2024-02-09_final.stac-item
2024-02-15 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2024-02-15_final.stac-item
2024-02-20 11:02:54	ga_s2bm_ard_3-2-1_52KED_2024-02-20_final.stac-item
2024-03-11 11:00:54	ga_s2bm_ard_3-2-1_53LKF_2024-03-11_final.stac-item
2024-03-17 11:25:33	ga_s2bm_ard_3-2-1_51JYH_2024-03-17_final.stac-item
2024-03-21 11:02:30	ga_s2bm_ard_3-2-1_52KGE_2024-03-21_final.stac-item
2024-04-09 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2024-04-09_final.stac-item
2024-05-06 11:23:03	ga_s2bm_ard_3-2-1_52KCC_2024-05-06_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