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
2017-07-24 10:18:54	ga_s2bm_ard_3-2-1_54LYL_2017-07-24_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51KYS_2017-09-30_final
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54LYQ_2017-11-21_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51LVC_2017-12-25_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54HTH_2018-01-07_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JTL_2018-04-01_final
2018-05-24 10:05:08	ga_s2bm_ard_3-2-1_54HXC_2018-05-24_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53HMD_2018-05-26_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KPC_2018-06-06_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KHP_2018-07-22_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKN_2018-08-28_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JLL_2018-10-03_final
2018-10-26 10:50:30	ga_s2bm_ard_3-2-1_53JKG_2018-10-26_final
2018-11-09 10:33:43	ga_s2bm_ard_3-2-1_53KPP_2018-11-09_final
2018-11-11 11:15:30	ga_s2bm_ard_3-2-1_52JCN_2018-11-11_final
2018-12-04 09:48:44	ga_s2bm_ard_3-2-1_55GCN_2018-12-04_final
2018-12-16 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2018-12-16_final
2019-01-06 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2019-01-06_final
2019-01-26 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2019-01-26_final
2019-02-09 11:10:32	ga_s2bm_ard_3-2-1_52LFN_2019-02-09_final.stac-item
2019-03-09 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2019-03-09_final
2019-03-11 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2019-03-11_final
2019-07-01 10:13:54	ga_s2bm_ard_3-2-1_54JZT_2019-07-01_final
2019-08-23 12:06:09	ga_s2bm_ard_3-2-1_50JLM_2019-08-23_final
2019-10-06 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-10-06_final
2019-10-10 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2019-10-10_final
2019-10-19 10:12:03	ga_s2bm_ard_3-2-1_54KXF_2019-10-19_final
2019-10-22 10:19:45	ga_s2bm_ard_3-2-1_54LXQ_2019-10-22_final
2019-10-30 11:23:29	ga_s2bm_ard_3-2-1_51KXS_2019-10-30_final
2019-11-14 10:29:53	ga_s2bm_ard_3-2-1_54LXP_2019-11-14_final
2019-11-24 10:30:37	ga_s2bm_ard_3-2-1_54LWL_2019-11-24_final
2019-12-22 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2019-12-22_final
2020-01-06 10:45:38	ga_s2bm_ard_3-2-1_53JMF_2020-01-06_final
2020-01-24 10:03:46	ga_s2bm_ard_3-2-1_54JZT_2020-01-24_final
2020-02-02 10:35:37	ga_s2bm_ard_3-2-1_53JQF_2020-02-02_final
2020-02-04 11:10:18	ga_s2bm_ard_3-2-1_52LHN_2020-02-04_final
2020-02-05 10:40:33	ga_s2bm_ard_3-2-1_53LPG_2020-02-05_final
2020-03-17 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-17_final
2020-03-24 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-03-24_final
2020-04-27 11:25:12	ga_s2bm_ard_3-2-1_51JVK_2020-04-27_final
2020-05-01 11:06:20	ga_s2bm_ard_3-2-1_52HBK_2020-05-01_final
2020-08-08 09:56:00	ga_s2bm_ard_3-2-1_54HYK_2020-08-08_final
2020-10-06 10:24:47	ga_s2bm_ard_3-2-1_54JUQ_2020-10-06_final
2020-10-06 10:25:56	ga_s2bm_ard_3-2-1_53JPF_2020-10-06_final
2020-11-29 10:05:51	ga_s2bm_ard_3-2-1_54HYK_2020-11-29_final
2020-12-14 10:50:38	ga_s2bm_ard_3-2-1_53LPG_2020-12-14_final
2020-12-25 10:20:40	ga_s2bm_ard_3-2-1_54LXL_2020-12-25_final
2021-01-03 10:55:26	ga_s2bm_ard_3-2-1_52JGN_2021-01-03_final
2021-01-31 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-01-31_final
2021-02-12 10:52:13	ga_s2bm_ard_3-2-1_53KKA_2021-02-12_final
2021-02-16 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2021-02-16_final
2021-02-28 11:16:10	ga_s2bm_ard_3-2-1_51JXF_2021-02-28_final
2021-03-14 10:51:13	ga_s2bm_ard_3-2-1_53LLE_2021-03-14_final
2021-03-23 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2021-03-23_final
2021-04-22 11:26:38	ga_s2bm_ard_3-2-1_51HVD_2021-04-22_final
2021-04-22 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2021-04-22_final
2021-06-10 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-06-10_final
2021-09-14 10:31:27	ga_s2bm_ard_3-2-1_54LUH_2021-09-14_final
2021-09-14 10:32:33	ga_s2bm_ard_3-2-1_53KQU_2021-09-14_final
2021-09-17 10:43:48	ga_s2bm_ard_3-2-1_53KNP_2021-09-17_final
2021-10-29 11:22:50	ga_s2bm_ard_3-2-1_52KCD_2021-10-29_final
2021-11-21 11:35:27	ga_s2bm_ard_3-2-1_51JUJ_2021-11-21_final
2021-11-23 10:33:27	ga_s2bm_ard_3-2-1_54KTV_2021-11-23_final
2021-12-08 11:22:32	ga_s2bm_ard_3-2-1_52KBE_2021-12-08_final
2022-01-18 10:55:44	ga_s2bm_ard_3-2-1_52JEM_2022-01-18_final
2022-02-20 09:28:43	ga_s2bm_ard_3-2-1_55GEN_2022-02-19_final
2022-04-01 11:06:20	ga_s2bm_ard_3-2-1_52HBK_2022-04-01_final
2022-05-05 10:43:29	ga_s2bm_ard_3-2-1_53KPQ_2022-05-05_final
2022-05-12 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2022-05-12_final
2022-05-12 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-05-12_final
2022-05-24 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2022-05-24_final
2022-06-02 10:05:44	ga_s2bm_ard_3-2-1_54JWL_2022-06-02_final
2022-06-04 10:42:55	ga_s2bm_ard_3-2-1_53KPT_2022-06-04_final
2022-06-11 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2022-06-11_final
2022-07-30 11:05:03	ga_s2bm_ard_3-2-1_52JFQ_2022-07-30_final
2022-08-04 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2022-08-04_final
2022-09-09 10:35:58	ga_s2bm_ard_3-2-1_53JMF_2022-09-09_final.stac-item
2022-09-16 10:21:03	ga_s2bm_ard_3-2-1_54LZJ_2022-09-16_final.stac-item
2022-09-16 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2022-09-16_final.stac-item
2022-10-11 12:50:59	ga_s2bm_ard_3-2-1_48LWP_2022-10-11_final.stac-item
2022-12-30 11:13:07	ga_s2bm_ard_3-2-1_52KCC_2022-12-30_final.stac-item
2023-01-13 10:52:25	ga_s2bm_ard_3-2-1_53KKV_2023-01-13_final.stac-item
2023-01-28 10:03:29	ga_s2bm_ard_3-2-1_54KZU_2023-01-28_final.stac-item
2023-03-06 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-03-06_nrt.stac-item
2023-03-19 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2023-03-19_final.stac-item
2023-04-01 10:16:37	ga_s2bm_ard_3-2-1_54HTH_2023-04-01_final.stac-item
2023-04-13 10:53:54	ga_s2bm_ard_3-2-1_53KLP_2023-04-13_final.stac-item
2023-07-02 10:54:28	ga_s2bm_ard_3-2-1_53JLM_2023-07-02_final.stac-item
2023-07-03 10:23:20	ga_s2bm_ard_3-2-1_54KVA_2023-07-03_final.stac-item
2023-07-30 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-07-30_final.stac-item
2023-08-07 11:11:10	ga_s2bm_ard_3-2-1_52LEL_2023-08-07_final.stac-item
2023-08-31 10:55:50	ga_s2bm_ard_3-2-1_52JFM_2023-08-31_final.stac-item
2023-10-03 09:28:50	ga_s2bm_ard_3-2-1_55GEN_2023-10-02_final.stac-item
2023-10-22 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2023-10-22_final.stac-item
2023-11-17 10:13:52	ga_s2bm_ard_3-2-1_54JYT_2023-11-17_final.stac-item
2024-01-18 10:53:31	ga_s2bm_ard_3-2-1_52KGA_2024-01-18_final.stac-item
2024-02-24 10:41:29	ga_s2bm_ard_3-2-1_54LTH_2024-02-24_nrt.stac-item
2024-03-07 11:26:24	ga_s2bm_ard_3-2-1_51HVE_2024-03-07_final.stac-item
2024-03-18 10:50:48	ga_s2bm_ard_3-2-1_53LPF_2024-03-18_final.stac-item
2024-04-12 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2024-04-12_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