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
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNH_2017-08-07_final
2017-10-12 10:18:40	ga_s2bm_ard_3-2-1_54LYQ_2017-10-12_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53JQG_2017-11-14_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51LUF_2017-12-15_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVA_2017-12-22_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JQR_2017-12-25_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_53KNU_2017-12-30_final
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53KPB_2018-01-06_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51LZC_2018-03-19_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54LXP_2018-03-21_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_52KBU_2018-04-18_final
2018-05-02 09:22:43	ga_s2bm_ard_3-2-1_55GFR_2018-05-01_final
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_54JWL_2018-06-26_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HNK_2018-06-26_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51KWT_2018-06-30_final
2018-08-13 09:35:52	ga_s2bm_ard_3-2-1_55GFR_2018-08-13_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HQJ_2018-09-08_final
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53HPC_2018-10-10_final
2018-10-27 10:23:51	ga_s2bm_ard_3-2-1_54HUJ_2018-10-27_final
2018-10-28 09:53:42	ga_s2bm_ard_3-2-1_55JDJ_2018-10-28_final
2018-11-07 09:55:30	ga_s2bm_ard_3-2-1_55JDF_2018-11-07_final
2018-12-07 09:57:45	ga_s2bm_ard_3-2-1_55HBS_2018-12-07_final
2019-02-12 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-02-12_final
2019-02-21 10:16:33	ga_s2bm_ard_3-2-1_54HTH_2019-02-21_final
2019-03-10 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2019-03-10_final
2019-03-20 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2019-03-20_final
2019-03-24 09:45:51	ga_s2bm_ard_3-2-1_55HDE_2019-03-24_final
2019-04-02 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2019-04-02_final
2019-04-28 10:32:30	ga_s2bm_ard_3-2-1_53KQV_2019-04-28_final
2019-06-05 09:57:55	ga_s2bm_ard_3-2-1_55HCS_2019-06-05_final
2019-06-12 11:23:17	ga_s2bm_ard_3-2-1_51KYT_2019-06-12_final
2019-06-18 10:07:15	ga_s2bm_ard_3-2-1_54HXE_2019-06-18_final
2019-07-29 11:14:41	ga_s2bm_ard_3-2-1_51JYN_2019-07-29_final
2019-12-02 09:56:00	ga_s2bm_ard_3-2-1_55HCD_2019-12-02_final
2020-01-18 11:23:00	ga_s2bm_ard_3-2-1_51KZT_2020-01-18_final
2020-02-25 10:41:31	ga_s2bm_ard_3-2-1_53LQC_2020-02-25_final
2020-03-27 10:16:32	ga_s2bm_ard_3-2-1_54HTH_2020-03-27_final
2020-03-29 10:55:47	ga_s2bm_ard_3-2-1_52JEM_2020-03-29_final
2020-03-31 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2020-03-31_final
2020-05-20 09:54:23	ga_s2bm_ard_3-2-1_55JCL_2020-05-20_final
2020-06-23 09:36:05	ga_s2bm_ard_3-2-1_55HFD_2020-06-23_final
2020-07-16 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2020-07-16_final
2020-09-17 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2020-09-17_final
2020-09-27 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2020-09-27_final
2020-11-21 10:41:43	ga_s2bm_ard_3-2-1_54KTG_2020-11-21_final
2020-11-23 09:47:36	ga_s2bm_ard_3-2-1_55HCT_2020-11-23_final
2020-12-23 09:47:50	ga_s2bm_ard_3-2-1_55HBS_2020-12-23_final
2020-12-25 10:20:51	ga_s2bm_ard_3-2-1_54LYK_2020-12-25_final
2020-12-26 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2020-12-26_final
2021-02-08 09:38:44	ga_s2bm_ard_3-2-1_55GEN_2021-02-08_final
2021-03-13 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2021-03-13_final
2021-03-22 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-22_final
2021-03-23 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2021-03-23_final
2021-06-01 09:45:05	ga_s2bm_ard_3-2-1_55JEH_2021-06-01_final
2021-06-16 10:31:43	ga_s2bm_ard_3-2-1_54KVG_2021-06-16_final
2021-08-23 09:58:13	ga_s2bm_ard_3-2-1_55GCQ_2021-08-23_final
2021-09-25 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-09-25_final
2021-10-03 09:28:49	ga_s2bm_ard_3-2-1_55GEN_2021-10-02_final
2021-10-12 09:54:53	ga_s2bm_ard_3-2-1_55JCJ_2021-10-12_final
2021-10-16 09:38:14	ga_s2bm_ard_3-2-1_55GFQ_2021-10-16_final
2021-10-25 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-25_final
2021-10-31 10:23:51	ga_s2bm_ard_3-2-1_54KTU_2021-10-31_final
2021-12-03 10:31:27	ga_s2bm_ard_3-2-1_54LUH_2021-12-03_final
2021-12-27 10:16:29	ga_s2bm_ard_3-2-1_54HTH_2021-12-27_final
2022-01-16 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2022-01-16_final
2022-01-30 11:32:44	ga_s2bm_ard_3-2-1_51KYU_2022-01-30_final
2022-03-01 09:56:35	ga_s2bm_ard_3-2-1_54HYG_2022-03-01_final
2022-03-21 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2022-03-21_final
2022-03-22 09:28:42	ga_s2bm_ard_3-2-1_55GFN_2022-03-21_final
2022-03-27 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2022-03-27_final
2022-04-02 10:30:52	ga_s2bm_ard_3-2-1_54LWK_2022-04-02_final
2022-06-09 09:56:03	ga_s2bm_ard_3-2-1_55HDD_2022-06-09_final
2022-06-19 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2022-06-19_final
2022-07-01 10:34:05	ga_s2bm_ard_3-2-1_54JTT_2022-07-01_final
2022-07-29 11:37:08	ga_s2bm_ard_3-2-1_50HQH_2022-07-29_final
2022-10-01 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2022-10-01_final.stac-item
2022-10-13 10:16:01	ga_s2bm_ard_3-2-1_54HUK_2022-10-13_final.stac-item
2022-11-24 10:53:13	ga_s2bm_ard_3-2-1_53KKS_2022-11-24_final.stac-item
2022-12-09 10:06:06	ga_s2bm_ard_3-2-1_54HXJ_2022-12-09_final.stac-item
2022-12-17 11:02:57	ga_s2bm_ard_3-2-1_52KGC_2022-12-17_final.stac-item
2023-01-16 09:28:46	ga_s2bm_ard_3-2-1_55GEN_2023-01-15_final.stac-item
2023-02-10 10:10:59	ga_s2bm_ard_3-2-1_54LYK_2023-02-10_final.stac-item
2023-03-13 09:46:06	ga_s2bm_ard_3-2-1_55HED_2023-03-13_final.stac-item
2023-03-21 10:46:27	ga_s2bm_ard_3-2-1_53HLD_2023-03-21_final.stac-item
2023-04-27 10:30:57	ga_s2bm_ard_3-2-1_54LWK_2023-04-27_final.stac-item
2023-06-22 10:55:46	ga_s2bm_ard_3-2-1_52JGM_2023-06-22_final.stac-item
2023-07-02 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2023-07-02_final.stac-item
2023-07-05 11:00:54	ga_s2bm_ard_3-2-1_52LGM_2023-07-05_final.stac-item
2023-08-19 10:16:44	ga_s2bm_ard_3-2-1_54HWG_2023-08-19_final.stac-item
2023-10-23 09:28:28	ga_s2bm_ard_3-2-1_55GGP_2023-10-22_nrt.stac-item
2023-11-02 11:03:22	ga_s2bm_ard_3-2-1_52KEB_2023-11-02_final.stac-item
2023-11-25 09:38:26	ga_s2bm_ard_3-2-1_55GEP_2023-11-25_final.stac-item
2023-12-14 10:06:41	ga_s2bm_ard_3-2-1_54HWG_2023-12-14_final.stac-item
2024-02-26 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2024-02-26_final.stac-item
2024-03-12 10:36:55	ga_s2bm_ard_3-2-1_53HPA_2024-03-12_final.stac-item
2024-03-24 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-03-24_nrt.stac-item
2024-04-12 11:45:47	ga_s2bm_ard_3-2-1_50JQN_2024-04-12_final.stac-item
2024-04-26 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2024-04-26_final.stac-item
2024-04-29 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2024-04-29_final.stac-item
2024-05-03 09:37:58	ga_s2bm_ard_3-2-1_55GFR_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