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
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXT_2017-11-12_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JFP_2017-11-13_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_50KKB_2017-11-14_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HUD_2017-11-19_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVS_2018-01-01_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JES_2018-01-12_final
2018-01-13 10:27:00	ga_s2bm_ard_3-2-1_53JNN_2018-01-13_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWS_2018-05-11_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXT_2018-05-21_final
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_51KZV_2018-06-17_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGM_2018-06-29_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_50HQK_2018-07-30_final
2018-11-29 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2018-11-29_final
2018-12-08 11:06:31	ga_s2bm_ard_3-2-1_51HYD_2018-12-08_final
2018-12-09 10:34:12	ga_s2bm_ard_3-2-1_53JQM_2018-12-09_final
2018-12-12 10:44:03	ga_s2bm_ard_3-2-1_53JMN_2018-12-12_final
2019-01-16 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2019-01-16_final
2019-02-06 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2019-02-06_final
2019-02-22 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2019-02-22_final
2019-02-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-02-27_final
2019-03-01 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2019-03-01_final
2019-04-18 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-04-18_final
2019-05-18 10:36:01	ga_s2bm_ard_3-2-1_53JNF_2019-05-18_final
2019-05-28 10:34:59	ga_s2bm_ard_3-2-1_53JPK_2019-05-28_final
2019-06-14 12:05:21	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final
2019-07-05 11:32:55	ga_s2bm_ard_3-2-1_51KXV_2019-07-05_final
2019-07-14 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-07-14_final
2019-07-29 11:10:40	ga_s2bm_ard_3-2-1_52LFN_2019-07-29_final.stac-item
2019-07-31 11:57:17	ga_s2bm_ard_3-2-1_50HLH_2019-07-31_final
2019-09-06 11:46:36	ga_s2bm_ard_3-2-1_50HPK_2019-09-06_final
2019-09-25 10:35:01	ga_s2bm_ard_3-2-1_53JQJ_2019-09-25_final
2019-10-07 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2019-10-07_final
2019-12-25 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2019-12-25_final
2020-01-17 11:52:28	ga_s2bm_ard_3-2-1_50KQF_2020-01-17_final.stac-item
2020-02-27 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2020-02-27_final
2020-03-11 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-11_final
2020-03-14 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-03-14_final
2020-04-06 10:16:49	ga_s2bm_ard_3-2-1_53HQB_2020-04-06_final
2020-06-01 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-06-01_final
2020-06-19 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-19_final
2020-06-23 11:12:38	ga_s2bm_ard_3-2-1_52KDE_2020-06-23_final
2020-07-20 11:05:18	ga_s2bm_ard_3-2-1_52JEP_2020-07-20_final
2020-08-05 11:25:02	ga_s2bm_ard_3-2-1_51JWL_2020-08-05_final
2020-08-13 10:44:42	ga_s2bm_ard_3-2-1_53JML_2020-08-13_final
2020-08-27 10:24:07	ga_s2bm_ard_3-2-1_53JRN_2020-08-27_final
2020-09-17 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2020-09-17_final
2020-09-17 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-09-17_final
2020-10-27 11:32:11	ga_s2bm_ard_3-2-1_51KYB_2020-10-27_final
2020-12-18 10:35:46	ga_s2bm_ard_3-2-1_53JNF_2020-12-18_final
2021-01-17 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2021-01-17_final
2021-02-13 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-02-13_final
2021-03-20 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2021-03-20_final
2021-04-09 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2021-04-09_final
2021-04-18 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-04-18_final
2021-06-03 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-06-03_final
2021-07-03 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2021-07-03_final
2021-07-03 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-07-03_final
2021-08-10 11:23:20	ga_s2bm_ard_3-2-1_51KYS_2021-08-10_final
2021-09-13 11:00:41	ga_s2bm_ard_3-2-1_52LHM_2021-09-13_final
2021-10-13 11:01:03	ga_s2bm_ard_3-2-1_52LGL_2021-10-13_final
2021-12-11 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-12-11_final
2022-01-05 10:45:39	ga_s2bm_ard_3-2-1_53JKG_2022-01-05_final
2022-01-05 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2022-01-05_final
2022-01-14 11:10:53	ga_s2bm_ard_3-2-1_52LGL_2022-01-14_final
2022-01-27 11:22:21	ga_s2bm_ard_3-2-1_51KYA_2022-01-27_final
2022-02-07 10:55:48	ga_s2bm_ard_3-2-1_53JKF_2022-02-07_final
2022-02-21 10:35:21	ga_s2bm_ard_3-2-1_53JMH_2022-02-21_final
2022-02-23 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2022-02-23_final
2022-03-03 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2022-03-03_final
2022-03-24 11:44:17	ga_s2bm_ard_3-2-1_50KQU_2022-03-24_final
2022-04-06 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2022-04-06_final
2022-04-14 11:15:26	ga_s2bm_ard_3-2-1_51JXJ_2022-04-14_final
2022-04-15 10:44:55	ga_s2bm_ard_3-2-1_53JNJ_2022-04-15_final
2022-05-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-05-09_final
2022-05-10 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-05-10_final
2022-06-30 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2022-06-30_final
2022-07-29 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2022-07-29_final
2022-09-27 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2022-09-27_final.stac-item
2022-10-07 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2022-10-07_final.stac-item
2022-10-12 10:45:54	ga_s2bm_ard_3-2-1_53JLF_2022-10-12_final.stac-item
2022-10-17 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2022-10-17_final.stac-item
2022-11-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2022-11-05_final.stac-item
2022-12-18 10:34:12	ga_s2bm_ard_3-2-1_53JNN_2022-12-18_final.stac-item
2022-12-27 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2022-12-27_final.stac-item
2023-01-22 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2023-01-22_final.stac-item
2023-03-21 10:45:46	ga_s2bm_ard_3-2-1_53JKG_2023-03-21_final.stac-item
2023-03-23 11:25:36	ga_s2bm_ard_3-2-1_51JYH_2023-03-23_final.stac-item
2023-05-25 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-05-25_final.stac-item
2023-06-28 11:15:05	ga_s2bm_ard_3-2-1_52JDQ_2023-06-28_final.stac-item
2023-07-24 11:33:04	ga_s2bm_ard_3-2-1_51KWU_2023-07-24_final.stac-item
2023-08-27 11:10:47	ga_s2bm_ard_3-2-1_52LGM_2023-08-27_final.stac-item
2023-09-19 11:26:10	ga_s2bm_ard_3-2-1_51JVG_2023-09-19_final.stac-item
2023-10-24 10:36:26	ga_s2bm_ard_3-2-1_53HMD_2023-10-24_final.stac-item
2023-12-25 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2023-12-25_final.stac-item
2024-03-09 10:26:56	ga_s2bm_ard_3-2-1_53HQA_2024-03-09_final.stac-item
2024-03-11 11:04:03	ga_s2bm_ard_3-2-1_52KEU_2024-03-11_final.stac-item
2024-03-23 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2024-03-23_final.stac-item
2024-03-28 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2024-03-28_final.stac-item
2024-04-03 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2024-04-03_final.stac-item
2024-04-09 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2024-04-09_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