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
2022-04-29 12:05:22	ga_s2bm_ard_3-2-1_49JGK_2022-04-29_final
2022-04-29 12:05:34	ga_s2bm_ard_3-2-1_50JKP_2022-04-29_final
2022-04-29 12:05:37	ga_s2bm_ard_3-2-1_49JGJ_2022-04-29_final
2022-04-29 12:05:44	ga_s2bm_ard_3-2-1_50JLN_2022-04-29_final
2022-04-29 12:05:48	ga_s2bm_ard_3-2-1_50JKN_2022-04-29_final
2022-04-29 12:05:51	ga_s2bm_ard_3-2-1_49JGH_2022-04-29_final.stac-item
2022-04-29 12:05:57	ga_s2bm_ard_3-2-1_50JLM_2022-04-29_final
2022-04-29 12:06:03	ga_s2bm_ard_3-2-1_50JKM_2022-04-29_final
2022-04-29 12:06:07	ga_s2bm_ard_3-2-1_50JLL_2022-04-29_final
2022-04-30 09:57:10	ga_s2bm_ard_3-2-1_54HXE_2022-04-30_final
2022-04-30 09:57:25	ga_s2bm_ard_3-2-1_55HCT_2022-04-30_final
2022-04-30 09:57:29	ga_s2bm_ard_3-2-1_55HBT_2022-04-30_final.stac-item
2022-04-30 09:57:30	ga_s2bm_ard_3-2-1_54HYC_2022-04-30_final.stac-item
2022-04-30 09:57:34	ga_s2bm_ard_3-2-1_54HXC_2022-04-30_final
2022-04-30 09:57:40	ga_s2bm_ard_3-2-1_55HCS_2022-04-30_final.stac-item
2022-04-30 09:57:44	ga_s2bm_ard_3-2-1_55HBS_2022-04-30_final.stac-item
2022-04-30 09:57:44	ga_s2bm_ard_3-2-1_54HYB_2022-04-30_final.stac-item
2022-04-30 09:57:54	ga_s2bm_ard_3-2-1_55GCR_2022-04-30_final
2022-04-30 09:57:59	ga_s2bm_ard_3-2-1_54GYA_2022-04-30_final.stac-item
2022-04-30 09:58:13	ga_s2bm_ard_3-2-1_54GYV_2022-04-30_final.stac-item
2022-04-30 09:58:17	ga_s2bm_ard_3-2-1_55GCP_2022-04-30_final
2022-04-30 11:31:11	ga_s2bm_ard_3-2-1_52LBK_2022-04-30_final
2022-04-30 11:31:14	ga_s2bm_ard_3-2-1_51LZE_2022-04-30_final
2022-04-30 11:31:18	ga_s2bm_ard_3-2-1_51LYE_2022-04-30_final
2022-04-30 11:31:22	ga_s2bm_ard_3-2-1_52LBJ_2022-04-30_final
2022-04-30 11:31:24	ga_s2bm_ard_3-2-1_51LWE_2022-04-30_final
2022-04-30 11:31:28	ga_s2bm_ard_3-2-1_51LZD_2022-04-30_final
2022-04-30 11:31:32	ga_s2bm_ard_3-2-1_51LYD_2022-04-30_final
2022-04-30 11:31:42	ga_s2bm_ard_3-2-1_51LZC_2022-04-30_final
2022-04-30 11:31:46	ga_s2bm_ard_3-2-1_51LYC_2022-04-30_final
2022-04-30 11:31:50	ga_s2bm_ard_3-2-1_51LXC_2022-04-30_final
2022-04-30 11:31:53	ga_s2bm_ard_3-2-1_51KZB_2022-04-30_final
2022-04-30 11:31:53	ga_s2bm_ard_3-2-1_51LWC_2022-04-30_final
2022-04-30 11:31:58	ga_s2bm_ard_3-2-1_51KYB_2022-04-30_final
2022-04-30 11:32:01	ga_s2bm_ard_3-2-1_51KWB_2022-04-30_final
2022-04-30 11:32:02	ga_s2bm_ard_3-2-1_51LWC_2022-04-30_final
2022-04-30 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2022-04-30_final
2022-04-30 11:32:07	ga_s2bm_ard_3-2-1_51KXB_2022-04-30_final
2022-04-30 11:32:08	ga_s2bm_ard_3-2-1_51KWB_2022-04-30_final
2022-04-30 11:32:13	ga_s2bm_ard_3-2-1_51KVB_2022-04-30_final
2022-04-30 11:32:19	ga_s2bm_ard_3-2-1_51KXA_2022-04-30_final
2022-04-30 11:32:22	ga_s2bm_ard_3-2-1_51KWA_2022-04-30_final
2022-04-30 11:32:26	ga_s2bm_ard_3-2-1_51KVA_2022-04-30_final
2022-04-30 11:32:34	ga_s2bm_ard_3-2-1_51KXV_2022-04-30_final
2022-04-30 11:32:37	ga_s2bm_ard_3-2-1_51KWV_2022-04-30_final
2022-04-30 11:32:40	ga_s2bm_ard_3-2-1_51KVV_2022-04-30_final
2022-04-30 11:32:44	ga_s2bm_ard_3-2-1_51KYU_2022-04-30_final
2022-04-30 11:32:48	ga_s2bm_ard_3-2-1_51KXU_2022-04-30_final
2022-04-30 11:32:51	ga_s2bm_ard_3-2-1_51KWU_2022-04-30_final
2022-04-30 11:33:17	ga_s2bm_ard_3-2-1_51KXS_2022-04-30_final
2022-04-30 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2022-04-30_final
2022-04-30 11:33:24	ga_s2bm_ard_3-2-1_51KVS_2022-04-30_final
2022-04-30 11:33:27	ga_s2bm_ard_3-2-1_51KUS_2022-04-30_final
2022-04-30 11:33:35	ga_s2bm_ard_3-2-1_51KWR_2022-04-30_final
2022-04-30 11:33:38	ga_s2bm_ard_3-2-1_51KVR_2022-04-30_final
2022-04-30 11:33:41	ga_s2bm_ard_3-2-1_51KUR_2022-04-30_final
2022-04-30 11:33:46	ga_s2bm_ard_3-2-1_51KXQ_2022-04-30_final
2022-04-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-04-30_final
2022-04-30 11:33:53	ga_s2bm_ard_3-2-1_51KVQ_2022-04-30_final
2022-04-30 11:33:56	ga_s2bm_ard_3-2-1_51KUQ_2022-04-30_final
2022-04-30 11:33:59	ga_s2bm_ard_3-2-1_51KXP_2022-04-30_final
2022-04-30 11:34:04	ga_s2bm_ard_3-2-1_51KWP_2022-04-30_final
2022-04-30 11:34:07	ga_s2bm_ard_3-2-1_51KVP_2022-04-30_final
2022-04-30 11:34:09	ga_s2bm_ard_3-2-1_51JXN_2022-04-30_final
2022-04-30 11:34:11	ga_s2bm_ard_3-2-1_51KUP_2022-04-30_final
2022-04-30 11:34:18	ga_s2bm_ard_3-2-1_51JWN_2022-04-30_final
2022-04-30 11:34:22	ga_s2bm_ard_3-2-1_51JVN_2022-04-30_final
2022-04-30 11:34:25	ga_s2bm_ard_3-2-1_51JUN_2022-04-30_final
2022-04-30 11:34:29	ga_s2bm_ard_3-2-1_51JTN_2022-04-30_final
2022-04-30 11:34:30	ga_s2bm_ard_3-2-1_50JRT_2022-04-30_final
2022-04-30 11:34:33	ga_s2bm_ard_3-2-1_51JWM_2022-04-30_final
2022-04-30 11:34:36	ga_s2bm_ard_3-2-1_51JVM_2022-04-30_final
2022-04-30 11:34:40	ga_s2bm_ard_3-2-1_51JUM_2022-04-30_final
2022-04-30 11:34:43	ga_s2bm_ard_3-2-1_51JTM_2022-04-30_final
2022-04-30 11:35:01	ga_s2bm_ard_3-2-1_51JWK_2022-04-30_final
2022-04-30 11:35:06	ga_s2bm_ard_3-2-1_51JVK_2022-04-30_final
2022-04-30 11:35:12	ga_s2bm_ard_3-2-1_51JTK_2022-04-30_final
2022-04-30 11:35:20	ga_s2bm_ard_3-2-1_51JVJ_2022-04-30_final
2022-04-30 11:35:27	ga_s2bm_ard_3-2-1_51JTJ_2022-04-30_final
2022-04-30 11:35:34	ga_s2bm_ard_3-2-1_51JVH_2022-04-30_final
2022-04-30 11:35:38	ga_s2bm_ard_3-2-1_51JUH_2022-04-30_final
2022-04-30 11:35:41	ga_s2bm_ard_3-2-1_51JTH_2022-04-30_final
2022-04-30 11:35:44	ga_s2bm_ard_3-2-1_50JQN_2022-04-30_final
2022-04-30 11:35:53	ga_s2bm_ard_3-2-1_51JUG_2022-04-30_final
2022-04-30 11:35:56	ga_s2bm_ard_3-2-1_51JTG_2022-04-30_final
2022-04-30 11:35:58	ga_s2bm_ard_3-2-1_50JQM_2022-04-30_final
2022-04-30 11:36:04	ga_s2bm_ard_3-2-1_51JVF_2022-04-30_final
2022-04-30 11:36:11	ga_s2bm_ard_3-2-1_51JTF_2022-04-30_final
2022-04-30 11:36:13	ga_s2bm_ard_3-2-1_50JQL_2022-04-30_final
2022-04-30 11:36:25	ga_s2bm_ard_3-2-1_51HTE_2022-04-30_final
2022-04-30 11:36:27	ga_s2bm_ard_3-2-1_51HVD_2022-04-30_final
2022-04-30 11:36:31	ga_s2bm_ard_3-2-1_50HPK_2022-04-30_final
2022-04-30 11:36:36	ga_s2bm_ard_3-2-1_51HUD_2022-04-30_final
2022-04-30 11:36:40	ga_s2bm_ard_3-2-1_51HTD_2022-04-30_final
2022-04-30 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2022-04-30_final
2022-04-30 11:36:45	ga_s2bm_ard_3-2-1_50HPJ_2022-04-30_final
2022-04-30 11:36:51	ga_s2bm_ard_3-2-1_51HUC_2022-04-30_final
2022-04-30 11:36:54	ga_s2bm_ard_3-2-1_51HTC_2022-04-30_final
2022-04-30 11:36:56	ga_s2bm_ard_3-2-1_50HQH_2022-04-30_final
2022-04-30 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2022-04-30_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