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
2017-07-21 10:11:06	ga_s2bm_ard_3-2-1_54HXJ_2017-07-21_final
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final
2017-11-24 10:32:21	ga_s2bm_ard_3-2-1_53JQM_2017-11-24_final
2017-12-11 10:16:54	ga_s2bm_ard_3-2-1_53HQB_2017-12-11_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_53KKU_2018-01-02_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HVE_2018-01-24_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53HPE_2018-03-24_final
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_54JTN_2018-04-10_final
2018-04-29 10:47:24	ga_s2bm_ard_3-2-1_52JFM_2018-04-29_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KVU_2018-05-04_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51HUC_2018-05-21_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KVB_2018-06-13_final
2018-06-17 11:25:19	ga_s2bm_ard_3-2-1_51HUD_2018-06-17_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KUS_2018-07-03_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KDC_2018-08-03_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-28_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KVS_2018-09-28_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52LGM_2018-11-01_final
2018-11-20 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2018-11-20_final
2019-02-11 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2019-02-11_final
2019-02-22 11:24:43	ga_s2bm_ard_3-2-1_52JBR_2019-02-22_final
2019-04-19 11:43:21	ga_s2bm_ard_3-2-1_51KUT_2019-04-19_final
2019-04-29 11:43:51	ga_s2bm_ard_3-2-1_51KUR_2019-04-29_final
2019-05-16 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2019-05-16_final.stac-item
2019-06-13 10:50:56	ga_s2bm_ard_3-2-1_53LPF_2019-06-13_final
2019-07-02 11:22:32	ga_s2bm_ard_3-2-1_51KZA_2019-07-02_final
2019-07-25 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-07-25_final
2019-09-05 10:35:51	ga_s2bm_ard_3-2-1_53JPF_2019-09-05_final
2019-11-12 09:57:25	ga_s2bm_ard_3-2-1_54HXD_2019-11-12_final
2020-01-18 11:22:45	ga_s2bm_ard_3-2-1_52KBD_2020-01-18_final
2020-01-30 12:05:48	ga_s2bm_ard_3-2-1_50JKN_2020-01-30_final
2020-02-11 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2020-02-11_final
2020-02-29 10:26:42	ga_s2bm_ard_3-2-1_54HTG_2020-02-29_final
2020-03-31 09:56:37	ga_s2bm_ard_3-2-1_54HYG_2020-03-31_final
2020-04-06 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2020-04-06_final
2020-04-30 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2020-04-30_final
2020-05-06 10:16:31	ga_s2bm_ard_3-2-1_54HTH_2020-05-06_final
2020-05-22 10:34:57	ga_s2bm_ard_3-2-1_54JTP_2020-05-22_final
2020-06-19 11:31:41	ga_s2bm_ard_3-2-1_51LYD_2020-06-19_final
2020-06-23 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-06-23_final
2020-06-28 10:25:08	ga_s2bm_ard_3-2-1_53JQJ_2020-06-28_final
2020-07-23 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2020-07-23_final
2020-07-31 10:35:04	ga_s2bm_ard_3-2-1_53JQJ_2020-07-31_final
2020-09-13 10:17:17	ga_s2bm_ard_3-2-1_54HUE_2020-09-13_final.stac-item
2020-10-08 11:03:52	ga_s2bm_ard_3-2-1_52KEV_2020-10-08_final
2020-10-16 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2020-10-16_final
2020-10-26 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-26_final
2020-12-16 11:35:55	ga_s2bm_ard_3-2-1_51JUG_2020-12-16_final
2021-01-22 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2021-01-22_final
2021-02-08 11:10:28	ga_s2bm_ard_3-2-1_52LGN_2021-02-08_final
2021-02-10 10:17:14	ga_s2bm_ard_3-2-1_54HUE_2021-02-10_final.stac-item
2021-03-07 11:03:16	ga_s2bm_ard_3-2-1_52KFB_2021-03-07_final
2021-07-04 09:57:38	ga_s2bm_ard_3-2-1_54HYC_2021-07-04_final
2021-07-04 11:31:44	ga_s2bm_ard_3-2-1_51LXD_2021-07-04_final
2021-08-03 09:57:38	ga_s2bm_ard_3-2-1_54HYC_2021-08-03_final
2021-08-07 11:11:20	ga_s2bm_ard_3-2-1_52LEK_2021-08-07_final.stac-item
2021-12-13 10:34:19	ga_s2bm_ard_3-2-1_53JNM_2021-12-13_final
2021-12-15 11:15:27	ga_s2bm_ard_3-2-1_52JCN_2021-12-15_final
2022-01-10 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2022-01-10_final
2022-02-04 10:41:54	ga_s2bm_ard_3-2-1_53KQA_2022-02-04_final
2022-02-11 10:34:19	ga_s2bm_ard_3-2-1_53JNM_2022-02-11_final
2022-02-12 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2022-02-12_final
2022-02-21 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-21_final
2022-02-24 10:44:12	ga_s2bm_ard_3-2-1_53JPM_2022-02-24_final
2022-02-26 11:21:49	ga_s2bm_ard_3-2-1_52LBH_2022-02-26_final
2022-05-03 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-05-03_final
2022-05-18 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2022-05-18_final
2022-09-14 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2022-09-14_final.stac-item
2022-09-26 10:26:51	ga_s2bm_ard_3-2-1_53HPB_2022-09-26_final.stac-item
2022-10-20 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2022-10-20_final.stac-item
2022-10-29 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-10-29_final.stac-item
2022-10-31 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2022-10-31_final.stac-item
2022-11-01 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2022-11-01_final.stac-item
2022-11-05 10:24:34	ga_s2bm_ard_3-2-1_53JQL_2022-11-05_final.stac-item
2022-11-26 09:57:40	ga_s2bm_ard_3-2-1_54HXC_2022-11-26_final.stac-item
2023-01-06 11:02:16	ga_s2bm_ard_3-2-1_52KFF_2023-01-06_final.stac-item
2023-02-21 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2023-02-21_final.stac-item
2023-02-21 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2023-02-21_final.stac-item
2023-05-27 10:35:57	ga_s2bm_ard_3-2-1_53JNF_2023-05-27_final.stac-item
2023-06-14 11:36:01	ga_s2bm_ard_3-2-1_51JVG_2023-06-14_final.stac-item
2023-06-23 10:25:06	ga_s2bm_ard_3-2-1_54JTP_2023-06-23_final.stac-item
2023-06-23 10:27:05	ga_s2bm_ard_3-2-1_53HQA_2023-06-23_final.stac-item
2023-07-07 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-07-07_final.stac-item
2023-07-24 11:35:51	ga_s2bm_ard_3-2-1_51JUH_2023-07-24_final.stac-item
2023-07-30 10:17:16	ga_s2bm_ard_3-2-1_54HVE_2023-07-30_final.stac-item
2023-08-03 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-08-03_final.stac-item
2023-08-24 11:02:59	ga_s2bm_ard_3-2-1_52KHC_2023-08-24_final.stac-item
2023-08-30 11:26:34	ga_s2bm_ard_3-2-1_51HVE_2023-08-30_final.stac-item
2023-10-13 11:03:15	ga_s2bm_ard_3-2-1_52KGB_2023-10-13_final.stac-item
2023-11-13 10:35:02	ga_s2bm_ard_3-2-1_53JQJ_2023-11-13_final.stac-item
2023-12-02 11:03:17	ga_s2bm_ard_3-2-1_52KEB_2023-12-02_final.stac-item
2024-01-06 10:17:25	ga_s2bm_ard_3-2-1_54HVD_2024-01-06_final.stac-item
2024-01-13 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2024-01-13_final.stac-item
2024-01-30 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2024-01-30_final.stac-item
2024-02-10 11:02:25	ga_s2bm_ard_3-2-1_53KKV_2024-02-10_final.stac-item
2024-03-24 11:10:33	ga_s2bm_ard_3-2-1_52LFN_2024-03-24_final.stac-item
2024-03-24 11:12:03	ga_s2bm_ard_3-2-1_52KEG_2024-03-24_final.stac-item
2024-03-25 10:45:44	ga_s2bm_ard_3-2-1_53JKG_2024-03-25_final.stac-item
2024-04-13 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2024-04-13_final.stac-item
2024-05-17 10:53:59	ga_s2bm_ard_3-2-1_52KGU_2024-05-17_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