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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JLM_2017-09-22_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLH_2017-10-06_final
2017-10-06 11:47:02	ga_s2bm_ard_3-2-1_50HNG_2017-10-06_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRU_2017-11-25_final
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLH_2018-01-07_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KTS_2018-01-14_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMJ_2018-01-14_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-02-06_final
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHS_2018-03-21_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JKM_2018-08-15_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HUD_2018-08-29_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HPK_2018-10-31_final
2018-11-20 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2018-11-20_final.stac-item
2018-12-07 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2018-12-07_final
2018-12-17 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2018-12-17_final
2018-12-31 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2018-12-31_final
2019-01-13 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2019-01-13_final
2019-01-26 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2019-01-26_final
2019-01-29 11:43:33	ga_s2bm_ard_3-2-1_51KTS_2019-01-29_final
2019-06-14 12:03:51	ga_s2bm_ard_3-2-1_50KKB_2019-06-14_final
2019-06-28 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-28_final
2019-10-09 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2019-10-09_final.stac-item
2019-10-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2019-10-12_final
2019-10-20 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2019-10-20_final
2019-11-12 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2019-11-12_final
2019-11-15 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2019-11-15_final
2019-12-02 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2019-12-02_final.stac-item
2019-12-22 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2019-12-22_final
2020-01-27 11:53:14	ga_s2bm_ard_3-2-1_50KPC_2020-01-27_final
2020-01-30 12:04:53	ga_s2bm_ard_3-2-1_49JGM_2020-01-30_final
2020-02-06 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2020-02-06_final
2020-02-19 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2020-02-19_final
2020-03-07 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-30_final
2020-05-20 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2020-05-20_final
2020-06-05 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2020-06-05_final
2020-06-12 11:45:49	ga_s2bm_ard_3-2-1_50JQN_2020-06-12_final
2020-06-29 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-06-29_final
2020-07-02 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-07-02_final
2020-08-31 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2020-08-31_final
2020-10-23 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2020-10-23_final.stac-item
2020-11-06 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-11-06_final
2020-11-09 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2020-11-09_final
2020-11-09 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2020-11-09_final
2020-12-18 12:13:47	ga_s2bm_ard_3-2-1_50KKA_2020-12-18_final
2020-12-19 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2020-12-19_final
2021-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-01-04_final
2021-01-07 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-01-07_final
2021-01-08 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-01-08_final
2021-01-09 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2021-01-09_final
2021-01-22 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2021-01-22_final
2021-04-11 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-04-11_final
2021-05-22 11:27:07	ga_s2bm_ard_3-2-1_51HTC_2021-05-22_final
2021-06-13 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-06-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-06-27_final
2021-07-17 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2021-07-17_final
2021-07-27 11:46:28	ga_s2bm_ard_3-2-1_50JML_2021-07-27_final
2021-08-10 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-08-10_final
2021-10-25 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-10-25_final
2021-11-14 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-11-14_final
2021-11-14 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2021-11-14_final
2021-11-21 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2021-11-21_final
2021-11-24 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2021-11-24_final
2021-12-07 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2021-12-07_final
2021-12-18 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2021-12-18_final
2021-12-21 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2021-12-21_final
2021-12-25 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2021-12-25_final
2022-01-13 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2022-01-13_final
2022-01-13 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2022-01-13_final
2022-02-18 12:03:52	ga_s2bm_ard_3-2-1_50KKA_2022-02-18_final
2022-02-25 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-02-25_final
2022-03-25 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2022-03-25_final
2022-04-06 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2022-04-06_final
2022-05-20 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2022-05-20_final
2022-06-12 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2022-06-12_final
2022-07-11 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-07-11_final.stac-item
2022-07-25 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2022-07-25_final
2022-08-01 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-08-01_final.stac-item
2022-11-09 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-11-09_final.stac-item
2022-12-03 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2022-12-03_final.stac-item
2023-01-18 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2023-01-18_final.stac-item
2023-01-21 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-21_final.stac-item
2023-01-28 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2023-01-28_final.stac-item
2023-02-01 11:25:03	ga_s2bm_ard_3-2-1_51JYK_2023-02-01_final.stac-item
2023-03-09 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2023-03-09_final.stac-item
2023-03-09 11:44:20	ga_s2bm_ard_3-2-1_50KRU_2023-03-09_final.stac-item
2023-04-02 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2023-04-02_final.stac-item
2023-04-11 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-04-11_final.stac-item
2023-05-18 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-05-18_final.stac-item
2023-06-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-06-11_final.stac-item
2023-07-14 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-07-14_final.stac-item
2023-07-26 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-07-26_final.stac-item
2023-11-04 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-11-04_final.stac-item
2023-11-08 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2023-11-08_final.stac-item
2023-12-07 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-12-07_final.stac-item
2023-12-18 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2023-12-18_final.stac-item
2024-01-23 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2024-01-23_final.stac-item
2024-01-24 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2024-01-24_final.stac-item
2024-01-27 11:24:31	ga_s2bm_ard_3-2-1_51JZM_2024-01-27_final.stac-item
2024-05-12 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2024-05-12_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