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
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53HME_2017-09-18_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51JUL_2017-12-05_final
2017-12-31 10:16:56	ga_s2bm_ard_3-2-1_53JQJ_2017-12-31_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWB_2018-01-11_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52LBJ_2018-02-17_final
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53JPN_2018-03-24_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JMF_2018-05-03_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53JPN_2018-05-23_final
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52JDS_2018-07-31_final
2018-08-03 11:07:09	ga_s2bm_ard_3-2-1_52LHM_2018-08-03_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JKM_2018-09-17_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HVE_2018-10-05_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52KBB_2018-11-01_final
2018-11-11 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2018-11-11_final
2018-12-21 11:11:07	ga_s2bm_ard_3-2-1_52LGK_2018-12-21_final
2018-12-29 10:36:29	ga_s2bm_ard_3-2-1_53HPC_2018-12-29_final
2019-01-11 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2019-01-11_final
2019-01-20 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2019-01-20_final
2019-03-21 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2019-03-21_final
2019-04-02 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2019-04-02_final
2019-04-06 11:31:24	ga_s2bm_ard_3-2-1_51LZE_2019-04-06_final
2019-04-13 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2019-04-13_final
2019-04-29 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-04-29_final
2019-05-10 11:15:41	ga_s2bm_ard_3-2-1_52JCN_2019-05-10_final
2019-06-19 11:13:08	ga_s2bm_ard_3-2-1_52KEC_2019-06-19_final
2019-06-30 10:46:32	ga_s2bm_ard_3-2-1_53HLD_2019-06-30_final
2019-07-05 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-07-05_final
2019-09-19 10:17:04	ga_s2bm_ard_3-2-1_53HQA_2019-09-19_final
2019-09-20 11:26:10	ga_s2bm_ard_3-2-1_51JWF_2019-09-20_final
2019-10-13 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-10-13_final
2019-11-07 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2019-11-07_final
2019-11-18 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-11-18_final
2020-02-04 11:12:54	ga_s2bm_ard_3-2-1_52KEC_2020-02-04_final
2020-02-24 11:15:54	ga_s2bm_ard_3-2-1_51JXG_2020-02-24_final
2020-03-02 11:04:26	ga_s2bm_ard_3-2-1_52JFS_2020-03-02_final
2020-03-23 10:36:30	ga_s2bm_ard_3-2-1_53HPC_2020-03-23_final
2020-04-07 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2020-04-07_final
2020-04-13 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-04-13_final
2020-04-20 11:34:38	ga_s2bm_ard_3-2-1_51JVM_2020-04-20_final
2020-04-27 11:26:13	ga_s2bm_ard_3-2-1_51JUF_2020-04-27_final
2020-05-09 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2020-05-09_final
2020-07-19 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2020-07-19_final
2020-08-11 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-08-11_final
2020-08-11 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-08-11_final
2020-08-27 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-08-27_final
2020-10-16 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-10-16_final
2020-11-20 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2020-11-20_final
2021-01-04 10:26:52	ga_s2bm_ard_3-2-1_53HNB_2021-01-04_final
2021-01-29 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2021-01-29_final
2021-02-11 11:24:21	ga_s2bm_ard_3-2-1_51JYN_2021-02-11_final
2021-02-14 11:31:40	ga_s2bm_ard_3-2-1_51LXD_2021-02-14_final
2021-03-28 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2021-03-28_final
2021-05-24 10:24:19	ga_s2bm_ard_3-2-1_53JRM_2021-05-24_final
2021-05-24 10:26:36	ga_s2bm_ard_3-2-1_53HPC_2021-05-24_final
2021-05-29 11:16:31	ga_s2bm_ard_3-2-1_51HWE_2021-05-29_final
2021-06-04 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-06-04_final
2021-06-11 11:25:21	ga_s2bm_ard_3-2-1_51JYJ_2021-06-11_final
2021-07-13 10:27:03	ga_s2bm_ard_3-2-1_53HQA_2021-07-13_final
2021-07-23 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-07-23_final
2021-08-09 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2021-08-09_final
2021-08-26 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-08-26_final
2021-08-29 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-08-29_final
2021-10-22 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2021-10-22_final
2021-11-13 10:34:21	ga_s2bm_ard_3-2-1_53JPM_2021-11-13_final
2021-11-21 11:31:15	ga_s2bm_ard_3-2-1_52LBK_2021-11-21_final
2022-01-12 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2022-01-12_final
2022-02-01 10:36:22	ga_s2bm_ard_3-2-1_53HLD_2022-02-01_final
2022-03-28 11:24:29	ga_s2bm_ard_3-2-1_52JBS_2022-03-28_final
2022-04-26 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2022-04-26_final
2022-04-30 11:34:18	ga_s2bm_ard_3-2-1_51JWN_2022-04-30_final
2022-05-13 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-05-13_final
2022-06-02 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-06-02_final
2022-06-03 11:11:59	ga_s2bm_ard_3-2-1_52KFG_2022-06-03_final
2022-07-05 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-07-05_final
2022-10-28 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2022-10-28_final.stac-item
2022-11-03 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2022-11-03_final.stac-item
2022-11-07 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2022-11-07_final.stac-item
2022-11-26 11:31:55	ga_s2bm_ard_3-2-1_51LWC_2022-11-26_final.stac-item
2022-12-23 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2022-12-23_final.stac-item
2023-01-02 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2023-01-02_final.stac-item
2023-01-06 11:03:43	ga_s2bm_ard_3-2-1_52KFV_2023-01-06_final.stac-item
2023-03-03 11:22:00	ga_s2bm_ard_3-2-1_51LYC_2023-03-03_final.stac-item
2023-03-07 11:00:48	ga_s2bm_ard_3-2-1_52LHM_2023-03-07_final.stac-item
2023-03-28 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-03-28_final.stac-item
2023-04-01 11:56:25	ga_s2bm_ard_3-2-1_50JML_2023-04-01_final.stac-item
2023-05-05 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-05-05_final.stac-item
2023-05-06 11:03:59	ga_s2bm_ard_3-2-1_52KGU_2023-05-06_final.stac-item
2023-05-24 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-05-24_final.stac-item
2023-06-16 10:34:41	ga_s2bm_ard_3-2-1_53JPL_2023-06-16_final.stac-item
2023-07-02 10:53:19	ga_s2bm_ard_3-2-1_52KHB_2023-07-02_final.stac-item
2023-10-14 10:36:38	ga_s2bm_ard_3-2-1_53HNC_2023-10-14_final.stac-item
2023-12-15 11:16:33	ga_s2bm_ard_3-2-1_52HBJ_2023-12-15_nrt.stac-item
2024-01-01 11:03:57	ga_s2bm_ard_3-2-1_52KGU_2024-01-01_final.stac-item
2024-01-04 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-01-04_nrt.stac-item
2024-01-21 11:01:01	ga_s2bm_ard_3-2-1_52LGL_2024-01-21_final.stac-item
2024-03-01 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2024-03-01_final.stac-item
2024-03-01 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2024-03-01_final.stac-item
2024-03-08 10:55:36	ga_s2bm_ard_3-2-1_52JGM_2024-03-08_final.stac-item
2024-03-21 11:02:15	ga_s2bm_ard_3-2-1_52KGF_2024-03-21_final.stac-item
2024-03-24 11:12:18	ga_s2bm_ard_3-2-1_52KEF_2024-03-24_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