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
2021-08-11 10:54:12	ga_s2bm_ard_3-2-1_53JKN_2021-08-11_final
2021-08-11 10:54:16	ga_s2bm_ard_3-2-1_52JGT_2021-08-11_final
2021-08-11 10:54:23	ga_s2bm_ard_3-2-1_53JLM_2021-08-11_final
2021-08-11 10:54:38	ga_s2bm_ard_3-2-1_53JLL_2021-08-11_final
2021-08-11 10:54:42	ga_s2bm_ard_3-2-1_53JKL_2021-08-11_final
2021-08-11 10:54:45	ga_s2bm_ard_3-2-1_52JGR_2021-08-11_final
2021-08-11 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2021-08-11_final
2021-08-11 10:54:52	ga_s2bm_ard_3-2-1_53JLK_2021-08-11_final
2021-08-11 10:54:56	ga_s2bm_ard_3-2-1_53JKK_2021-08-11_final
2021-08-11 10:54:59	ga_s2bm_ard_3-2-1_52JGQ_2021-08-11_final
2021-08-11 10:55:06	ga_s2bm_ard_3-2-1_53JLJ_2021-08-11_final
2021-08-11 10:55:11	ga_s2bm_ard_3-2-1_53JKJ_2021-08-11_final
2021-08-11 10:55:14	ga_s2bm_ard_3-2-1_52JGP_2021-08-11_final
2021-08-11 10:55:16	ga_s2bm_ard_3-2-1_53JLH_2021-08-11_final
2021-08-11 10:55:17	ga_s2bm_ard_3-2-1_52JFP_2021-08-11_final
2021-08-11 10:55:25	ga_s2bm_ard_3-2-1_53JKH_2021-08-11_final
2021-08-11 10:55:32	ga_s2bm_ard_3-2-1_52JFN_2021-08-11_final
2021-08-11 10:55:35	ga_s2bm_ard_3-2-1_52JEN_2021-08-11_final
2021-08-11 10:55:40	ga_s2bm_ard_3-2-1_53JKG_2021-08-11_final
2021-08-11 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2021-08-11_final
2021-08-11 10:55:50	ga_s2bm_ard_3-2-1_52JEM_2021-08-11_final
2021-08-11 10:55:55	ga_s2bm_ard_3-2-1_53JKF_2021-08-11_final
2021-08-11 10:55:57	ga_s2bm_ard_3-2-1_52JGL_2021-08-11_final
2021-08-11 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2021-08-11_final
2021-08-11 10:56:09	ga_s2bm_ard_3-2-1_53HKE_2021-08-11_final.stac-item
2021-08-11 10:56:11	ga_s2bm_ard_3-2-1_52HGK_2021-08-11_final.stac-item
2021-08-11 10:56:22	ga_s2bm_ard_3-2-1_52HDK_2021-08-11_final.stac-item
2021-08-12 10:19:38	ga_s2bm_ard_3-2-1_54LZQ_2021-08-12_final
2021-08-12 10:19:42	ga_s2bm_ard_3-2-1_54LYQ_2021-08-12_final
2021-08-12 10:19:45	ga_s2bm_ard_3-2-1_54LXQ_2021-08-12_final
2021-08-12 10:19:53	ga_s2bm_ard_3-2-1_54LZP_2021-08-12_final
2021-08-12 10:19:56	ga_s2bm_ard_3-2-1_54LYP_2021-08-12_final
2021-08-12 10:19:59	ga_s2bm_ard_3-2-1_54LXP_2021-08-12_final
2021-08-12 10:20:36	ga_s2bm_ard_3-2-1_54LZL_2021-08-12_final
2021-08-12 10:20:40	ga_s2bm_ard_3-2-1_54LYL_2021-08-12_final
2021-08-12 10:20:43	ga_s2bm_ard_3-2-1_54LXL_2021-08-12_final
2021-08-12 10:20:46	ga_s2bm_ard_3-2-1_54LWL_2021-08-12_final
2021-08-12 10:21:30	ga_s2bm_ard_3-2-1_54LWH_2021-08-12_final
2021-08-12 10:21:33	ga_s2bm_ard_3-2-1_54LVH_2021-08-12_final
2021-08-12 10:21:52	ga_s2bm_ard_3-2-1_54KYF_2021-08-12_final
2021-08-12 10:22:13	ga_s2bm_ard_3-2-1_54KWE_2021-08-12_final
2021-08-12 10:22:17	ga_s2bm_ard_3-2-1_54KVE_2021-08-12_final
2021-08-12 10:22:53	ga_s2bm_ard_3-2-1_54KXB_2021-08-12_final
2021-08-12 10:22:57	ga_s2bm_ard_3-2-1_54KWB_2021-08-12_final
2021-08-12 10:23:26	ga_s2bm_ard_3-2-1_54KWV_2021-08-12_final
2021-08-12 10:23:30	ga_s2bm_ard_3-2-1_54KVV_2021-08-12_final
2021-08-12 10:23:40	ga_s2bm_ard_3-2-1_54KWU_2021-08-12_final
2021-08-12 10:23:44	ga_s2bm_ard_3-2-1_54KVU_2021-08-12_final
2021-08-12 10:23:50	ga_s2bm_ard_3-2-1_54KTU_2021-08-12_final
2021-08-12 10:23:55	ga_s2bm_ard_3-2-1_54JWT_2021-08-12_final
2021-08-12 10:24:05	ga_s2bm_ard_3-2-1_54JTT_2021-08-12_final
2021-08-12 10:24:09	ga_s2bm_ard_3-2-1_54JWS_2021-08-12_final
2021-08-12 10:24:13	ga_s2bm_ard_3-2-1_54JVS_2021-08-12_final
2021-08-12 10:24:16	ga_s2bm_ard_3-2-1_54JUS_2021-08-12_final
2021-08-12 10:24:21	ga_s2bm_ard_3-2-1_54JWR_2021-08-12_final
2021-08-12 10:24:27	ga_s2bm_ard_3-2-1_54JVR_2021-08-12_final
2021-08-12 10:24:31	ga_s2bm_ard_3-2-1_54JUR_2021-08-12_final
2021-08-12 10:24:34	ga_s2bm_ard_3-2-1_54JTR_2021-08-12_final
2021-08-12 10:24:40	ga_s2bm_ard_3-2-1_53JQL_2021-08-12_final
2021-08-12 10:24:46	ga_s2bm_ard_3-2-1_54JUQ_2021-08-12_final
2021-08-12 10:24:49	ga_s2bm_ard_3-2-1_54JTQ_2021-08-12_final
2021-08-12 10:24:52	ga_s2bm_ard_3-2-1_53JQK_2021-08-12_final
2021-08-12 10:24:55	ga_s2bm_ard_3-2-1_54JUP_2021-08-12_final
2021-08-12 10:24:57	ga_s2bm_ard_3-2-1_54JTP_2021-08-12_final
2021-08-12 10:24:57	ga_s2bm_ard_3-2-1_53JQK_2021-08-12_final.stac-item
2021-08-12 10:24:57	ga_s2bm_ard_3-2-1_53JQJ_2021-08-12_final
2021-08-12 10:25:02	ga_s2bm_ard_3-2-1_54JUP_2021-08-12_final.stac-item
2021-08-12 10:25:03	ga_s2bm_ard_3-2-1_54JTP_2021-08-12_final.stac-item
2021-08-12 10:25:11	ga_s2bm_ard_3-2-1_54JVN_2021-08-12_final
2021-08-12 10:25:15	ga_s2bm_ard_3-2-1_54JUN_2021-08-12_final
2021-08-12 10:25:25	ga_s2bm_ard_3-2-1_54JVM_2021-08-12_final
2021-08-12 10:25:29	ga_s2bm_ard_3-2-1_54JUM_2021-08-12_final
2021-08-12 10:25:32	ga_s2bm_ard_3-2-1_54JTM_2021-08-12_final
2021-08-12 10:25:35	ga_s2bm_ard_3-2-1_53JQG_2021-08-12_final
2021-08-12 10:25:36	ga_s2bm_ard_3-2-1_54JVL_2021-08-12_final
2021-08-12 10:25:43	ga_s2bm_ard_3-2-1_54JUL_2021-08-12_final
2021-08-12 10:25:47	ga_s2bm_ard_3-2-1_54JTL_2021-08-12_final
2021-08-12 10:25:49	ga_s2bm_ard_3-2-1_53JQF_2021-08-12_final
2021-08-12 10:25:53	ga_s2bm_ard_3-2-1_53JPF_2021-08-12_final
2021-08-12 10:25:58	ga_s2bm_ard_3-2-1_54HUK_2021-08-12_final
2021-08-12 10:26:02	ga_s2bm_ard_3-2-1_54HTK_2021-08-12_final
2021-08-12 10:26:04	ga_s2bm_ard_3-2-1_53HQE_2021-08-12_final
2021-08-12 10:26:07	ga_s2bm_ard_3-2-1_53HPE_2021-08-12_final
2021-08-12 10:26:13	ga_s2bm_ard_3-2-1_54HUJ_2021-08-12_final
2021-08-12 10:26:16	ga_s2bm_ard_3-2-1_54HTJ_2021-08-12_final
2021-08-12 10:26:18	ga_s2bm_ard_3-2-1_53HQD_2021-08-12_final
2021-08-12 10:26:22	ga_s2bm_ard_3-2-1_53HPD_2021-08-12_final
2021-08-12 10:26:27	ga_s2bm_ard_3-2-1_54HUH_2021-08-12_final
2021-08-12 10:26:31	ga_s2bm_ard_3-2-1_54HTH_2021-08-12_final
2021-08-12 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2021-08-12_final
2021-08-12 10:26:36	ga_s2bm_ard_3-2-1_53HPC_2021-08-12_final
2021-08-12 10:26:41	ga_s2bm_ard_3-2-1_54HUG_2021-08-12_final
2021-08-12 10:26:41	ga_s2bm_ard_3-2-1_53HNC_2021-08-12_final
2021-08-12 10:26:45	ga_s2bm_ard_3-2-1_54HTG_2021-08-12_final
2021-08-12 10:26:47	ga_s2bm_ard_3-2-1_53HQB_2021-08-12_final
2021-08-12 10:26:51	ga_s2bm_ard_3-2-1_53HPB_2021-08-12_final
2021-08-12 10:26:51	ga_s2bm_ard_3-2-1_54HUF_2021-08-12_final
2021-08-12 10:26:54	ga_s2bm_ard_3-2-1_53HNB_2021-08-12_final
2021-08-12 10:27:00	ga_s2bm_ard_3-2-1_54HTF_2021-08-12_final
2021-08-12 10:27:02	ga_s2bm_ard_3-2-1_53HQA_2021-08-12_final

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