Search ga_s2bm_ard_3 across 2023

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
2023-01-04 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2023-01-04_final
2023-01-04 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2023-01-04_final
2023-01-04 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2023-01-04_final
2023-01-04 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2023-01-04_final
2023-01-04 12:04:05	ga_s2bm_ard_3-2-1_50KMV_2023-01-04_final
2023-01-04 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2023-01-04_final
2023-01-04 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2023-01-04_final
2023-01-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2023-01-04_final
2023-01-04 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-01-04_final
2023-01-04 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2023-01-04_final
2023-01-04 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2023-01-04_final
2023-01-04 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2023-01-04_final
2023-01-04 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-01-04_final
2023-01-04 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2023-01-04_final
2023-01-04 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2023-01-04_final
2023-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2023-01-04_final
2023-01-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-01-04_final
2023-01-04 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2023-01-04_final
2023-01-04 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2023-01-04_final
2023-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-01-04_final
2023-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-01-04_final
2023-01-04 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2023-01-04_final
2023-01-04 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2023-01-04_final
2023-01-04 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2023-01-04_final
2023-01-04 12:06:12	ga_s2bm_ard_3-2-1_50JLL_2023-01-04_final
2023-01-05 09:51:17	ga_s2bm_ard_3-2-1_55LFC_2023-01-05_final
2023-01-22 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2023-01-22_final
2023-01-22 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2023-01-22_final
2023-01-22 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2023-01-22_final
2023-01-22 11:23:25	ga_s2bm_ard_3-2-1_52KCA_2023-01-22_final
2023-01-22 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2023-01-22_final
2023-01-22 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2023-01-22_final
2023-01-22 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2023-01-22_final
2023-01-22 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2023-01-22_final
2023-01-22 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-01-22_final
2023-01-22 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2023-01-22_final
2023-01-22 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2023-01-22_final
2023-01-22 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2023-01-22_final
2023-01-22 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2023-01-22_final
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final
2023-01-22 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2023-01-22_final
2023-01-22 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2023-01-22_final
2023-01-22 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2023-01-22_final
2023-01-22 11:24:09	ga_s2bm_ard_3-2-1_51KXP_2023-01-22_final
2023-01-22 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-01-22_final
2023-01-22 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2023-01-22_final
2023-01-22 11:24:17	ga_s2bm_ard_3-2-1_52JBT_2023-01-22_final
2023-01-22 11:24:24	ga_s2bm_ard_3-2-1_51JXN_2023-01-22_final
2023-01-22 11:24:27	ga_s2bm_ard_3-2-1_51JWN_2023-01-22_final
2023-01-22 11:24:30	ga_s2bm_ard_3-2-1_51JZM_2023-01-22_final
2023-01-22 11:24:30	ga_s2bm_ard_3-2-1_52JBS_2023-01-22_final
2023-01-22 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2023-01-22_final
2023-01-22 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2023-01-22_final
2023-01-22 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2023-01-22_final
2023-01-22 11:24:42	ga_s2bm_ard_3-2-1_51JWM_2023-01-22_final
2023-01-22 11:24:49	ga_s2bm_ard_3-2-1_51JYL_2023-01-22_final
2023-01-22 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2023-01-22_final
2023-01-22 11:24:57	ga_s2bm_ard_3-2-1_51JWL_2023-01-22_final
2023-01-22 11:25:01	ga_s2bm_ard_3-2-1_51JVL_2023-01-22_final
2023-01-22 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-01-22_final
2023-01-22 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2023-01-22_final
2023-01-22 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2023-01-22_final
2023-01-22 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2023-01-22_final
2023-01-22 11:25:18	ga_s2bm_ard_3-2-1_51JYJ_2023-01-22_final
2023-01-22 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-01-22_final
2023-01-22 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2023-01-22_final
2023-01-22 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2023-01-22_final
2023-01-22 11:25:32	ga_s2bm_ard_3-2-1_51JYH_2023-01-22_final
2023-01-22 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2023-01-22_final
2023-01-22 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2023-01-22_final
2023-01-22 11:25:43	ga_s2bm_ard_3-2-1_51JYG_2023-01-22_final
2023-01-22 11:25:44	ga_s2bm_ard_3-2-1_51JVH_2023-01-22_final
2023-01-22 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2023-01-22_final
2023-01-22 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2023-01-22_final
2023-01-22 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2023-01-22_final
2023-01-22 11:26:03	ga_s2bm_ard_3-2-1_51JUG_2023-01-22_final
2023-01-22 11:26:05	ga_s2bm_ard_3-2-1_51JXF_2023-01-22_final
2023-01-22 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2023-01-22_final
2023-01-22 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2023-01-22_final
2023-01-22 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2023-01-22_final
2023-01-22 11:26:20	ga_s2bm_ard_3-2-1_51HXE_2023-01-22_final
2023-01-22 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2023-01-22_final
2023-01-22 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2023-01-22_final
2023-01-22 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2023-01-22_final
2023-01-22 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2023-01-22_final
2023-01-22 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2023-01-22_final
2023-01-22 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2023-01-22_final
2023-01-22 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2023-01-22_final
2023-01-22 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2023-01-22_final
2023-01-22 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2023-01-22_final
2023-01-22 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2023-01-22_final
2023-01-22 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2023-01-22_final
2023-01-22 11:27:05	ga_s2bm_ard_3-2-1_51HTC_2023-01-22_final
2023-01-22 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2023-01-22_final
2023-01-22 11:27:08	ga_s2bm_ard_3-2-1_51HVB_2023-01-22_final
2023-01-22 11:27:10	ga_s2bm_ard_3-2-1_51HUB_2023-01-22_final
2023-01-22 11:27:12	ga_s2bm_ard_3-2-1_51HTB_2023-01-22_final
2023-01-23 10:50:18	ga_s2bm_ard_3-2-1_53LPH_2023-01-23_final
2023-01-23 10:50:22	ga_s2bm_ard_3-2-1_53LNH_2023-01-23_final
2023-01-23 10:50:25	ga_s2bm_ard_3-2-1_53LMH_2023-01-23_final

Return to ga_s2bm_ard_3 across 2023 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

2023

All months