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
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49JGK_2017-09-02_final
2017-10-30 11:20:19	ga_s2bm_ard_3-2-1_51KYS_2017-10-30_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KYA_2017-11-12_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGM_2017-12-01_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53KQQ_2017-12-14_final
2018-02-09 10:16:59	ga_s2bm_ard_3-2-1_53HQB_2018-02-09_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52KHD_2018-03-10_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52KHF_2018-05-09_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXT_2018-05-11_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXS_2018-07-20_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KXS_2018-07-27_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KYT_2018-08-09_final
2018-10-26 10:50:30	ga_s2bm_ard_3-2-1_53JKM_2018-10-26_final
2018-11-07 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2018-11-07_final
2018-12-27 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2018-12-27_final
2019-01-07 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2019-01-07_final
2019-01-16 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2019-01-16_final
2019-02-05 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2019-02-05_final
2019-04-13 11:25:51	ga_s2bm_ard_3-2-1_51JVH_2019-04-13_final
2019-04-30 11:10:32	ga_s2bm_ard_3-2-1_52LHN_2019-04-30_final
2019-05-17 11:00:53	ga_s2bm_ard_3-2-1_52LHM_2019-05-17_final
2019-05-26 11:37:06	ga_s2bm_ard_3-2-1_51HUC_2019-05-26_final
2019-07-22 11:21:41	ga_s2bm_ard_3-2-1_52LDJ_2019-07-22_final
2019-08-03 12:03:34	ga_s2bm_ard_3-2-1_50KLC_2019-08-03_final
2019-08-05 11:03:27	ga_s2bm_ard_3-2-1_52KEB_2019-08-05_final
2019-08-08 11:13:26	ga_s2bm_ard_3-2-1_52KDB_2019-08-08_final
2019-08-23 12:04:30	ga_s2bm_ard_3-2-1_50KLU_2019-08-23_final
2019-08-31 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2019-08-31_final
2019-09-18 10:41:48	ga_s2bm_ard_3-2-1_53KQB_2019-09-18_final
2019-10-18 10:46:22	ga_s2bm_ard_3-2-1_53HMD_2019-10-18_final
2019-12-02 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2019-12-02_final
2019-12-20 10:55:49	ga_s2bm_ard_3-2-1_53JKF_2019-12-20_final
2019-12-28 11:54:03	ga_s2bm_ard_3-2-1_50KNV_2019-12-28_final
2020-02-07 11:24:06	ga_s2bm_ard_3-2-1_51KXP_2020-02-07_final
2020-03-06 10:42:04	ga_s2bm_ard_3-2-1_53KQA_2020-03-06_final
2020-03-25 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2020-03-25_final
2020-04-16 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2020-04-16_final
2020-04-17 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2020-04-17_final
2020-05-23 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2020-05-23_final
2020-05-25 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2020-05-25_final
2020-05-26 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-05-26_final
2020-06-11 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2020-06-11_final
2020-07-11 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-07-11_final
2020-08-28 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2020-08-28_final
2020-09-08 11:05:40	ga_s2bm_ard_3-2-1_52JCN_2020-09-08_final
2020-09-10 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2020-09-10_final
2020-09-16 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2020-09-16_final
2020-09-26 10:24:07	ga_s2bm_ard_3-2-1_53JRN_2020-09-26_final
2020-10-28 11:05:26	ga_s2bm_ard_3-2-1_52JCP_2020-10-28_final
2020-11-27 11:02:55	ga_s2bm_ard_3-2-1_52KHC_2020-11-27_final
2020-12-26 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2020-12-26_final
2021-01-02 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2021-01-02_final
2021-01-31 11:54:44	ga_s2bm_ard_3-2-1_50JLT_2021-01-31_final
2021-02-04 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-02-04_final
2021-02-14 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2021-02-14_final
2021-02-22 10:50:47	ga_s2bm_ard_3-2-1_53LPF_2021-02-22_final
2021-04-29 11:10:24	ga_s2bm_ard_3-2-1_52LGN_2021-04-29_final
2021-05-24 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2021-05-24_final
2021-06-27 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-27_final
2021-10-09 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-10-09_final
2021-10-10 10:53:58	ga_s2bm_ard_3-2-1_53KKP_2021-10-10_final
2021-10-12 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-10-12_final
2021-12-10 10:26:45	ga_s2bm_ard_3-2-1_53HPB_2021-12-10_final
2021-12-10 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2021-12-10_final
2021-12-20 10:24:13	ga_s2bm_ard_3-2-1_53JRM_2021-12-20_final
2022-01-10 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2022-01-10_final
2022-01-17 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2022-01-17_final
2022-02-20 11:00:20	ga_s2bm_ard_3-2-1_53LLH_2022-02-20_final.stac-item
2022-03-27 11:54:34	ga_s2bm_ard_3-2-1_50JNT_2022-03-27_final
2022-04-19 10:26:40	ga_s2bm_ard_3-2-1_54HTG_2022-04-19_final.stac-item
2022-05-02 10:36:19	ga_s2bm_ard_3-2-1_53HMD_2022-05-02_final
2022-06-22 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2022-06-22_final
2022-06-29 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2022-06-29_final
2022-07-29 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2022-07-29_final
2022-09-07 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2022-09-07_final.stac-item
2022-09-14 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2022-09-14_final.stac-item
2022-09-17 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2022-09-17_final.stac-item
2022-09-26 10:26:36	ga_s2bm_ard_3-2-1_53HPC_2022-09-26_final.stac-item
2022-09-28 11:00:30	ga_s2bm_ard_3-2-1_52LHN_2022-09-28_final.stac-item
2022-10-25 10:54:16	ga_s2bm_ard_3-2-1_53JKN_2022-10-25_final.stac-item
2022-11-21 10:44:27	ga_s2bm_ard_3-2-1_53JLM_2022-11-21_final.stac-item
2022-12-15 10:26:59	ga_s2bm_ard_3-2-1_53HQA_2022-12-15_final.stac-item
2023-02-02 10:55:57	ga_s2bm_ard_3-2-1_52JFL_2023-02-02_final.stac-item
2023-03-10 11:10:33	ga_s2bm_ard_3-2-1_52LGN_2023-03-10_final.stac-item
2023-04-09 11:11:27	ga_s2bm_ard_3-2-1_52LGJ_2023-04-09_final.stac-item
2023-07-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-07-17_final.stac-item
2023-07-21 11:24:21	ga_s2bm_ard_3-2-1_51KWP_2023-07-21_final.stac-item
2023-08-16 11:41:03	ga_s2bm_ard_3-2-1_51LWG_2023-08-16_final.stac-item
2023-10-16 11:16:10	ga_s2bm_ard_3-2-1_51JYF_2023-10-16_final.stac-item
2023-11-05 11:10:32	ga_s2bm_ard_3-2-1_52LGN_2023-11-05_final.stac-item
2023-11-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2023-11-30_final.stac-item
2024-01-20 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2024-01-20_final.stac-item
2024-01-22 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2024-01-22_final.stac-item
2024-01-23 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2024-01-23_final.stac-item
2024-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2024-02-22_final.stac-item
2024-03-07 11:23:11	ga_s2bm_ard_3-2-1_52KCB_2024-03-07_final.stac-item
2024-03-14 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2024-03-14_final.stac-item
2024-04-04 10:42:23	ga_s2bm_ard_3-2-1_53KNV_2024-04-04_final.stac-item
2024-04-06 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2024-04-06_final.stac-item
2024-05-03 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2024-05-03_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