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
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_54HUG_2017-08-03_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KVS_2017-10-13_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51LZD_2017-10-13_final
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HNB_2017-11-01_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUT_2017-11-05_final
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JLN_2017-12-08_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50JPR_2018-03-15_final
2018-03-20 10:51:09	ga_s2bm_ard_3-2-1_53KLA_2018-03-20_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_53HPC_2018-03-31_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLJ_2018-04-07_final
2018-05-05 11:13:23	ga_s2bm_ard_3-2-1_52KEV_2018-05-05_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_53LPH_2018-05-09_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWP_2018-05-11_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53JNM_2018-05-13_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KTU_2018-05-24_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51JWN_2018-05-31_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HNJ_2018-06-03_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52KBA_2018-06-24_final
2018-07-24 11:07:17	ga_s2bm_ard_3-2-1_52LFN_2018-07-24_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JLN_2018-07-26_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50HPK_2018-09-18_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HNJ_2018-09-21_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51JVG_2018-09-28_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KYT_2018-10-08_final
2018-11-02 10:37:25	ga_s2bm_ard_3-2-1_53LPE_2018-11-02_final
2018-11-21 11:13:27	ga_s2bm_ard_3-2-1_52KEA_2018-11-21_final
2018-12-04 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2018-12-04_final
2018-12-14 11:23:55	ga_s2bm_ard_3-2-1_51KWQ_2018-12-14_final
2018-12-21 11:16:39	ga_s2bm_ard_3-2-1_51HWD_2018-12-21_final
2018-12-28 11:01:10	ga_s2bm_ard_3-2-1_52LHK_2018-12-28_final
2019-01-10 11:15:32	ga_s2bm_ard_3-2-1_52JCN_2019-01-10_final
2019-01-19 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2019-01-19_final
2019-02-12 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2019-02-12_final
2019-03-18 11:02:57	ga_s2bm_ard_3-2-1_52KGC_2019-03-18_final
2019-03-22 10:42:04	ga_s2bm_ard_3-2-1_53KRA_2019-03-22_final
2019-03-23 10:16:52	ga_s2bm_ard_3-2-1_53HQB_2019-03-23_final
2019-03-25 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2019-03-25_final
2019-04-09 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2019-04-09_final
2019-06-29 11:13:27	ga_s2bm_ard_3-2-1_52KDB_2019-06-29_final
2019-07-07 10:33:00	ga_s2bm_ard_3-2-1_53KQT_2019-07-07_final
2019-08-01 11:25:46	ga_s2bm_ard_3-2-1_51JXH_2019-08-01_final
2019-08-11 11:23:27	ga_s2bm_ard_3-2-1_51KXT_2019-08-11_final
2019-08-28 11:15:26	ga_s2bm_ard_3-2-1_52JBP_2019-08-28_final
2019-09-08 10:44:11	ga_s2bm_ard_3-2-1_53JMN_2019-09-08_final
2019-11-01 10:26:45	ga_s2bm_ard_3-2-1_54HTG_2019-11-01_final
2019-12-03 11:01:21	ga_s2bm_ard_3-2-1_53LKD_2019-12-03_final
2020-02-08 10:50:36	ga_s2bm_ard_3-2-1_53LMG_2020-02-08_final
2020-02-28 10:51:01	ga_s2bm_ard_3-2-1_53LPE_2020-02-28_final
2020-06-12 11:43:53	ga_s2bm_ard_3-2-1_50KQA_2020-06-12_final
2020-08-29 11:02:29	ga_s2bm_ard_3-2-1_52KHE_2020-08-29_final
2020-09-11 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2020-09-11_final
2020-09-17 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2020-09-17_final
2020-09-27 09:57:46	ga_s2bm_ard_3-2-1_54HXC_2020-09-27_final
2020-10-21 11:11:37	ga_s2bm_ard_3-2-1_52LEJ_2020-10-21_final
2020-10-24 11:26:58	ga_s2bm_ard_3-2-1_51HWC_2020-10-24_final.stac-item
2020-10-29 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-10-29_final
2020-11-18 10:36:22	ga_s2bm_ard_3-2-1_53HND_2020-11-18_final
2020-11-20 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2020-11-20_final
2020-11-24 10:50:39	ga_s2bm_ard_3-2-1_53LNG_2020-11-24_final
2020-12-30 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2020-12-30_final
2021-01-05 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-01-05_final
2021-02-14 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-02-14_final
2021-02-19 10:44:54	ga_s2bm_ard_3-2-1_53JLK_2021-02-19_final
2021-03-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2021-03-09_final
2021-05-04 10:26:29	ga_s2bm_ard_3-2-1_53HQC_2021-05-04_final
2021-05-15 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-05-15_final
2021-06-13 10:26:48	ga_s2bm_ard_3-2-1_53HQB_2021-06-13_final
2021-06-18 11:10:48	ga_s2bm_ard_3-2-1_52LFM_2021-06-18_final.stac-item
2021-07-11 11:22:28	ga_s2bm_ard_3-2-1_51KYA_2021-07-11_final
2021-09-03 11:04:14	ga_s2bm_ard_3-2-1_52JET_2021-09-03_final
2021-09-11 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-09-11_final
2021-09-14 10:34:35	ga_s2bm_ard_3-2-1_53JNL_2021-09-14_final
2021-12-15 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2021-12-15_final
2022-01-04 11:14:05	ga_s2bm_ard_3-2-1_52KBU_2022-01-04_final
2022-03-23 10:32:45	ga_s2bm_ard_3-2-1_53KRT_2022-03-23_final
2022-04-07 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2022-04-07_final
2022-04-25 10:45:02	ga_s2bm_ard_3-2-1_53JMJ_2022-04-25_final
2022-05-03 11:44:05	ga_s2bm_ard_3-2-1_50KPV_2022-05-03_final
2022-06-01 10:32:48	ga_s2bm_ard_3-2-1_53KRT_2022-06-01_final
2022-06-09 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2022-06-09_final
2022-06-13 11:15:21	ga_s2bm_ard_3-2-1_52JCP_2022-06-13_final
2022-07-13 11:13:26	ga_s2bm_ard_3-2-1_52KCB_2022-07-13_final
2022-09-28 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2022-09-28_final.stac-item
2023-01-08 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2023-01-08_final.stac-item
2023-01-18 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2023-01-18_final.stac-item
2023-01-26 11:00:41	ga_s2bm_ard_3-2-1_53LKG_2023-01-26_final.stac-item
2023-01-29 11:13:05	ga_s2bm_ard_3-2-1_52KCC_2023-01-29_final.stac-item
2023-02-14 11:31:41	ga_s2bm_ard_3-2-1_51LXD_2023-02-14_final.stac-item
2023-02-18 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2023-02-18_final.stac-item
2023-04-21 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2023-04-21_final.stac-item
2023-06-21 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2023-06-21_final.stac-item
2023-08-01 10:55:33	ga_s2bm_ard_3-2-1_52JGN_2023-08-01_final.stac-item
2023-10-02 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-10-02_final.stac-item
2023-11-26 10:41:59	ga_s2bm_ard_3-2-1_53KQA_2023-11-26_final.stac-item
2024-01-11 11:02:01	ga_s2bm_ard_3-2-1_53KLA_2024-01-11_final.stac-item
2024-02-16 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2024-02-16_final.stac-item
2024-03-11 11:02:50	ga_s2bm_ard_3-2-1_53KKT_2024-03-11_final.stac-item
2024-04-16 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2024-04-16_final.stac-item
2024-04-25 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2024-04-25_final.stac-item
2024-04-26 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2024-04-26_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