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 12:02:49	ga_s2bm_ard_3-2-1_49KHP_2017-07-24_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HPK_2017-10-06_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JHN_2017-11-11_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HXE_2017-11-19_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JVN_2017-12-12_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KRC_2017-12-28_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JWK_2018-01-28_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JPR_2018-02-06_final
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50JQL_2018-02-10_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HUD_2018-03-02_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPH_2018-04-24_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLH_2018-06-03_final
2018-06-17 11:25:19	ga_s2bm_ard_3-2-1_51HUD_2018-06-17_final
2018-07-02 12:13:20	ga_s2bm_ard_3-2-1_49JGK_2018-07-02_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49KHQ_2018-07-19_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50KKB_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50KKU_2018-07-29_final
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGN_2018-08-01_final
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51HVC_2018-08-26_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-08-28_final
2018-09-04 11:46:03	ga_s2bm_ard_3-2-1_50KQF_2018-09-04_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLJ_2018-09-04_final
2018-11-17 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2018-11-17_final
2018-12-09 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-09_final
2018-12-23 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2018-12-23_final
2018-12-27 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2018-12-27_final
2019-02-04 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2019-02-04_final
2019-02-24 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-02-24_final
2019-02-24 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2019-02-24_final
2019-02-25 11:37:25	ga_s2bm_ard_3-2-1_50HNG_2019-02-25_final.stac-item
2019-05-19 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2019-05-19_final
2019-05-22 11:56:13	ga_s2bm_ard_3-2-1_50JNM_2019-05-22_final
2019-07-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-07-24_final
2019-12-08 11:56:16	ga_s2bm_ard_3-2-1_50JML_2019-12-08_final
2020-01-04 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2020-01-04_final
2020-01-10 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2020-01-10_final
2020-01-17 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2020-01-17_final
2020-03-08 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2020-03-08_final
2020-03-20 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2020-03-20_final
2020-04-10 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2020-04-10_final
2020-05-06 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2020-05-06_final.stac-item
2020-05-06 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-05-06_final
2020-05-16 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2020-05-16_final
2020-05-22 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2020-05-22_final
2020-05-26 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2020-05-26_final
2020-07-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-07-08_final
2020-08-17 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-08-17_final
2020-09-06 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2020-09-06_final
2020-10-10 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-10_final
2020-11-09 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2020-11-09_final
2020-12-05 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2020-12-05_final
2021-01-11 11:53:53	ga_s2bm_ard_3-2-1_50KNA_2021-01-11_final
2021-01-15 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2021-01-15_final
2021-01-31 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2021-01-31_final
2021-03-06 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2021-03-06_final
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2021-03-25_final
2021-05-18 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-05-18_final
2021-06-20 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2021-06-20_final.stac-item
2021-07-03 12:04:11	ga_s2bm_ard_3-2-1_50KLV_2021-07-03_final
2021-07-10 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2021-07-10_final
2021-08-02 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-08-02_final
2021-08-06 11:46:27	ga_s2bm_ard_3-2-1_50JML_2021-08-06_final
2021-09-02 11:34:36	ga_s2bm_ard_3-2-1_51JWM_2021-09-02_final
2021-10-08 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-10-08_final
2021-11-28 11:25:41	ga_s2bm_ard_3-2-1_51JVH_2021-11-28_final
2022-01-10 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2022-01-10_final
2022-02-05 11:53:59	ga_s2bm_ard_3-2-1_50KPV_2022-02-05_final
2022-02-06 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2022-02-06_final
2022-03-10 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2022-03-10_final
2022-03-11 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2022-03-11_final
2022-04-03 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-04-03_final
2022-04-16 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2022-04-16_final
2022-04-26 11:55:43	ga_s2bm_ard_3-2-1_50JNN_2022-04-26_final
2022-06-12 11:45:02	ga_s2bm_ard_3-2-1_51JTL_2022-06-12_final
2022-10-16 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2022-10-16_final.stac-item
2023-03-03 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2023-03-03_final.stac-item
2023-03-25 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-25_final.stac-item
2023-04-05 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-04-05_final.stac-item
2023-04-11 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2023-04-11_final.stac-item
2023-05-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-05-07_final.stac-item
2023-05-25 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-05-25_final.stac-item
2023-06-03 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-06-03_final.stac-item
2023-06-24 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-06-24_final.stac-item
2023-06-26 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-06-26_final.stac-item
2023-07-24 11:37:03	ga_s2bm_ard_3-2-1_51HUC_2023-07-24_final.stac-item
2023-08-06 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-08-06_final.stac-item
2023-08-06 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-08-06_final.stac-item
2023-09-19 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-09-19_final.stac-item
2023-09-22 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2023-09-22_final.stac-item
2023-10-12 11:34:31	ga_s2bm_ard_3-2-1_51JVN_2023-10-12_final.stac-item
2023-11-28 11:26:02	ga_s2bm_ard_3-2-1_51JUG_2023-11-28_final.stac-item
2023-12-21 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-21_final.stac-item
2024-01-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-01-19_final.stac-item
2024-01-30 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2024-01-30_final.stac-item
2024-02-08 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2024-02-08_final.stac-item
2024-02-29 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2024-02-29_final.stac-item
2024-03-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2024-03-03_final.stac-item
2024-03-09 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2024-03-09_final.stac-item
2024-03-20 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2024-03-20_final.stac-item
2024-03-30 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2024-03-30_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