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
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JUN_2017-10-13_final
2017-10-22 12:03:34	ga_s2bm_ard_3-2-1_49KHR_2017-10-22_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KXV_2017-12-02_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51LUE_2017-12-15_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_52KCC_2017-12-19_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KXR_2018-01-01_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51KXR_2018-01-18_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HUE_2018-01-28_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KYU_2018-03-19_final
2018-04-15 11:07:10	ga_s2bm_ard_3-2-1_52KEB_2018-04-15_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52KFV_2018-05-12_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_52LCH_2018-06-27_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_50JPL_2018-09-18_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KVS_2018-10-01_final
2018-12-10 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2018-12-10_final
2019-01-17 11:01:31	ga_s2bm_ard_3-2-1_52LGJ_2019-01-17_final
2019-01-30 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2019-01-30_final
2019-03-08 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2019-03-08_final
2019-03-10 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2019-03-10_final
2019-03-26 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2019-03-26_final
2019-04-03 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2019-04-03_final
2019-04-26 11:37:04	ga_s2bm_ard_3-2-1_51HUC_2019-04-26_final
2019-05-07 11:06:29	ga_s2bm_ard_3-2-1_52HCK_2019-05-07_final.stac-item
2019-07-12 11:25:18	ga_s2bm_ard_3-2-1_51JXK_2019-07-12_final
2019-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JKN_2019-08-10_final
2019-11-06 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2019-11-06_final
2019-11-29 11:26:01	ga_s2bm_ard_3-2-1_51JUG_2019-11-29_final
2019-12-29 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2019-12-29_final
2020-01-18 11:23:10	ga_s2bm_ard_3-2-1_52KCB_2020-01-18_final
2020-01-20 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2020-01-20_final
2020-01-21 11:34:04	ga_s2bm_ard_3-2-1_51KWP_2020-01-21_final
2020-01-21 11:36:36	ga_s2bm_ard_3-2-1_51HUD_2020-01-21_final
2020-01-25 11:12:47	ga_s2bm_ard_3-2-1_52KFC_2020-01-25_final
2020-02-10 11:35:21	ga_s2bm_ard_3-2-1_51JVJ_2020-02-10_final
2020-03-05 11:12:40	ga_s2bm_ard_3-2-1_52KFD_2020-03-05_final
2020-04-07 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2020-04-07_final
2020-04-10 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2020-04-10_final
2020-07-03 11:13:12	ga_s2bm_ard_3-2-1_52KEB_2020-07-03_final
2020-07-06 11:25:30	ga_s2bm_ard_3-2-1_51JWJ_2020-07-06_final
2020-08-03 10:46:03	ga_s2bm_ard_3-2-1_52JGL_2020-08-03_final
2020-08-04 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-08-04_final
2020-08-17 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-08-17_final
2020-09-27 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-09-27_final
2020-10-17 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2020-10-17_final
2020-10-20 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2020-10-20_final
2020-11-07 11:03:15	ga_s2bm_ard_3-2-1_52KGB_2020-11-07_final
2020-11-13 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2020-11-13_final
2020-12-22 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2020-12-22_final
2021-01-06 11:02:14	ga_s2bm_ard_3-2-1_52KGF_2021-01-06_final
2021-01-18 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2021-01-18_final
2021-03-03 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-03-03_final
2021-03-09 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-03-09_final
2021-03-10 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2021-03-10_final
2021-03-23 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2021-03-23_final
2021-04-15 11:32:46	ga_s2bm_ard_3-2-1_51KYU_2021-04-15_final
2021-04-18 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2021-04-18_final
2021-04-19 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2021-04-19_final
2021-05-02 11:21:20	ga_s2bm_ard_3-2-1_52LBK_2021-05-02_final
2021-05-05 11:33:06	ga_s2bm_ard_3-2-1_51KVT_2021-05-05_final
2021-05-15 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-05-15_final
2021-07-01 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-07-01_final
2021-07-24 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2021-07-24_final
2021-08-10 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-08-10_final
2021-08-20 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-08-20_final
2021-08-27 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2021-08-27_final
2021-09-06 11:11:33	ga_s2bm_ard_3-2-1_52LDJ_2021-09-06_final
2021-10-29 11:26:09	ga_s2bm_ard_3-2-1_51JXF_2021-10-29_final
2021-11-05 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2021-11-05_final
2021-11-12 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2021-11-12_final
2021-12-01 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2021-12-01_final
2022-01-14 11:13:36	ga_s2bm_ard_3-2-1_51KZR_2022-01-14_final
2022-01-23 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-01-23_final
2022-02-09 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2022-02-09_final
2022-05-04 11:12:30	ga_s2bm_ard_3-2-1_52KDE_2022-05-04_final
2022-06-09 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2022-06-09_final
2022-06-27 10:54:52	ga_s2bm_ard_3-2-1_52JFR_2022-06-27_final
2022-07-03 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2022-07-03_final.stac-item
2022-07-03 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2022-07-03_final
2022-09-01 11:15:19	ga_s2bm_ard_3-2-1_52JCP_2022-09-01_final.stac-item
2022-10-17 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-10-17_final.stac-item
2022-10-21 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2022-10-21_final.stac-item
2022-12-16 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2022-12-16_final.stac-item
2022-12-26 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2022-12-26_final.stac-item
2023-01-22 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2023-01-22_final.stac-item
2023-01-28 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2023-01-28_final.stac-item
2023-01-29 11:13:46	ga_s2bm_ard_3-2-1_52KBV_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
2023-02-15 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2023-02-15_final.stac-item
2023-02-28 11:12:24	ga_s2bm_ard_3-2-1_52KCF_2023-02-28_final.stac-item
2023-03-09 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-03-09_final.stac-item
2023-05-29 11:13:34	ga_s2bm_ard_3-2-1_52KEA_2023-05-29_final.stac-item
2023-07-08 11:12:58	ga_s2bm_ard_3-2-1_52KCD_2023-07-08_final.stac-item
2023-07-27 11:46:59	ga_s2bm_ard_3-2-1_50HQH_2023-07-27_final.stac-item
2023-09-27 10:46:03	ga_s2bm_ard_3-2-1_52JGL_2023-09-27_final.stac-item
2024-01-24 11:13:47	ga_s2bm_ard_3-2-1_52KDV_2024-01-24_final.stac-item
2024-02-06 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2024-02-06_final.stac-item
2024-02-08 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2024-02-08_final.stac-item
2024-04-07 10:55:15	ga_s2bm_ard_3-2-1_52JFP_2024-04-07_final.stac-item
2024-05-03 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2024-05-03_final.stac-item
2024-05-09 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2024-05-09_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