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
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HQH_2017-07-25_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVL_2017-10-13_final
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52KDG_2017-12-26_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KED_2017-12-26_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52KDF_2018-01-05_final
2018-05-18 11:16:57	ga_s2bm_ard_3-2-1_52KBF_2018-05-18_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51LWG_2018-05-24_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KUR_2018-05-31_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50JLN_2018-06-09_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KUQ_2018-06-30_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_52KBD_2018-07-17_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KEA_2018-08-03_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51KZP_2018-10-05_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HXD_2018-10-15_final
2018-11-17 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2018-11-17_final
2018-12-01 11:11:29	ga_s2bm_ard_3-2-1_52LEJ_2018-12-01_final
2019-02-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2019-02-14_final
2019-03-27 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2019-03-27_final
2019-05-14 10:53:51	ga_s2bm_ard_3-2-1_52KHV_2019-05-14_final
2019-07-28 11:46:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-28_final
2019-08-02 10:53:54	ga_s2bm_ard_3-2-1_52KGV_2019-08-02_final
2019-08-08 11:13:36	ga_s2bm_ard_3-2-1_52KEA_2019-08-08_final
2019-08-13 12:04:02	ga_s2bm_ard_3-2-1_50KLA_2019-08-13_final
2019-08-14 11:33:08	ga_s2bm_ard_3-2-1_51KVU_2019-08-14_final
2019-09-27 11:14:09	ga_s2bm_ard_3-2-1_52KBU_2019-09-27_final
2019-11-16 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2019-11-16_final
2020-01-11 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2020-01-11_final
2020-01-24 11:42:35	ga_s2bm_ard_3-2-1_51KVV_2020-01-24_final
2020-02-07 11:23:00	ga_s2bm_ard_3-2-1_52KBC_2020-02-07_final
2020-02-10 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2020-02-10_final
2020-02-13 11:42:17	ga_s2bm_ard_3-2-1_51KWA_2020-02-13_final
2020-02-14 11:15:03	ga_s2bm_ard_3-2-1_52JBQ_2020-02-14_final
2020-03-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2020-03-17_final
2020-03-18 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2020-03-18_final
2020-03-25 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2020-03-25_final
2020-03-28 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2020-03-28_final
2020-04-10 11:31:26	ga_s2bm_ard_3-2-1_52LBJ_2020-04-10_final
2020-05-13 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2020-05-13_final
2020-05-21 11:00:49	ga_s2bm_ard_3-2-1_52LGM_2020-05-21_final
2020-06-02 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2020-06-02_final
2020-06-09 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2020-06-09_final
2020-06-12 11:43:38	ga_s2bm_ard_3-2-1_51KVR_2020-06-12_final
2020-06-19 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2020-06-19_final
2020-07-26 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2020-07-26_final
2020-08-24 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2020-08-24_final
2020-09-20 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-09-20_final
2020-09-24 11:22:44	ga_s2bm_ard_3-2-1_51KYV_2020-09-24_final
2020-09-28 11:03:52	ga_s2bm_ard_3-2-1_52KEV_2020-09-28_final
2020-09-30 11:42:34	ga_s2bm_ard_3-2-1_51KUA_2020-09-30_final
2020-10-07 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2020-10-07_final
2020-11-16 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2020-11-16_final
2020-12-13 11:23:03	ga_s2bm_ard_3-2-1_52KBC_2020-12-13_final
2021-01-04 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-01-04_final
2021-01-25 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-01-25_final
2021-02-15 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2021-02-15_final
2021-03-17 11:00:44	ga_s2bm_ard_3-2-1_52LHM_2021-03-17_final
2021-05-15 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-05-15_final
2021-05-17 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2021-05-17_final
2021-05-22 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2021-05-22_final
2021-06-05 11:02:48	ga_s2bm_ard_3-2-1_52KFD_2021-06-05_final
2021-07-24 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-07-24_final.stac-item
2021-07-30 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-30_final
2021-08-07 11:13:45	ga_s2bm_ard_3-2-1_52KEV_2021-08-07_final
2021-10-08 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2021-10-08_final
2021-12-02 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2021-12-02_final
2022-01-18 10:52:15	ga_s2bm_ard_3-2-1_52KHF_2022-01-18_final
2022-02-22 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2022-02-22_final
2022-04-06 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2022-04-06_final
2022-05-24 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2022-05-24_final
2022-06-03 11:12:38	ga_s2bm_ard_3-2-1_52KCE_2022-06-03_final
2022-06-12 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2022-06-12_final
2022-09-29 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2022-09-29_final.stac-item
2022-10-11 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2022-10-11_final.stac-item
2022-10-24 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2022-10-24_final.stac-item
2022-11-03 11:22:05	ga_s2bm_ard_3-2-1_52KBG_2022-11-03_final.stac-item
2022-11-19 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2022-11-19_final.stac-item
2023-01-01 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-01-01_final.stac-item
2023-01-12 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2023-01-12_final.stac-item
2023-01-16 11:03:19	ga_s2bm_ard_3-2-1_52KHA_2023-01-16_final.stac-item
2023-02-05 11:03:28	ga_s2bm_ard_3-2-1_52KFA_2023-02-05_final.stac-item
2023-02-08 11:10:45	ga_s2bm_ard_3-2-1_52LFM_2023-02-08_final.stac-item
2023-02-13 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2023-02-13_final.stac-item
2023-03-10 11:13:43	ga_s2bm_ard_3-2-1_52KBA_2023-03-10_final.stac-item
2023-04-11 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-04-11_final.stac-item
2023-04-25 11:31:57	ga_s2bm_ard_3-2-1_51LWC_2023-04-25_final.stac-item
2023-05-06 11:06:26	ga_s2bm_ard_3-2-1_52HBK_2023-05-06_final.stac-item
2023-06-14 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2023-06-14_final.stac-item
2023-07-08 11:10:42	ga_s2bm_ard_3-2-1_52LHM_2023-07-08_final.stac-item
2023-07-11 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2023-07-11_final.stac-item
2023-08-20 11:23:26	ga_s2bm_ard_3-2-1_51KZS_2023-08-20_final.stac-item
2023-09-12 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2023-09-12_final.stac-item
2023-10-29 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2023-10-29_final.stac-item
2023-11-08 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2023-11-08_final.stac-item
2023-11-28 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2023-11-28_final.stac-item
2024-01-08 10:54:47	ga_s2bm_ard_3-2-1_52JFR_2024-01-08_final.stac-item
2024-01-11 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2024-01-11_final.stac-item
2024-01-24 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2024-01-24_final.stac-item
2024-03-16 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2024-03-16_final.stac-item
2024-04-06 11:23:48	ga_s2bm_ard_3-2-1_52KBV_2024-04-06_final.stac-item
2024-04-21 10:36:17	ga_s2bm_ard_3-2-1_53HLE_2024-04-21_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