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
2022-01-09 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2022-01-09_final
2022-01-09 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2022-01-09_final
2022-01-09 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2022-01-09_final
2022-01-09 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2022-01-09_final
2022-01-09 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2022-01-09_final
2022-01-09 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-01-09_final
2022-01-09 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2022-01-09_final
2022-01-09 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2022-01-09_final
2022-01-09 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2022-01-09_final
2022-01-09 12:05:54	ga_s2bm_ard_3-2-1_49JGH_2022-01-09_final.stac-item
2022-01-10 09:51:08	ga_s2bm_ard_3-2-1_55LHC_2022-01-10_final.stac-item
2022-01-10 09:51:11	ga_s2bm_ard_3-2-1_55LGC_2022-01-10_final
2022-01-10 09:51:15	ga_s2bm_ard_3-2-1_55LFC_2022-01-10_final
2022-01-10 09:51:29	ga_s2bm_ard_3-2-1_55KFB_2022-01-10_final
2022-01-10 09:51:44	ga_s2bm_ard_3-2-1_55KFA_2022-01-10_final
2022-01-10 09:52:13	ga_s2bm_ard_3-2-1_55KFU_2022-01-10_final
2022-01-10 09:52:16	ga_s2bm_ard_3-2-1_55KEU_2022-01-10_final
2022-01-10 09:52:24	ga_s2bm_ard_3-2-1_55KGT_2022-01-10_final
2022-01-10 09:52:31	ga_s2bm_ard_3-2-1_55KHS_2022-01-10_final
2022-01-10 09:54:09	ga_s2bm_ard_3-2-1_55JFL_2022-01-10_final
2022-01-10 09:54:23	ga_s2bm_ard_3-2-1_55JFK_2022-01-10_final
2022-01-10 09:54:27	ga_s2bm_ard_3-2-1_55JEK_2022-01-10_final
2022-01-10 09:54:30	ga_s2bm_ard_3-2-1_55JDK_2022-01-10_final
2022-01-10 09:54:34	ga_s2bm_ard_3-2-1_55JCK_2022-01-10_final
2022-01-10 09:54:46	ga_s2bm_ard_3-2-1_55JFH_2022-01-10_final
2022-01-10 09:54:59	ga_s2bm_ard_3-2-1_55JDH_2022-01-10_final
2022-01-10 09:55:07	ga_s2bm_ard_3-2-1_55JBH_2022-01-10_final
2022-01-10 09:55:39	ga_s2bm_ard_3-2-1_55HEE_2022-01-10_final
2022-01-10 09:55:43	ga_s2bm_ard_3-2-1_55HDE_2022-01-10_final
2022-01-10 09:55:46	ga_s2bm_ard_3-2-1_55HCE_2022-01-10_final
2022-01-10 09:55:50	ga_s2bm_ard_3-2-1_55HBE_2022-01-10_final
2022-01-10 09:56:04	ga_s2bm_ard_3-2-1_55HBD_2022-01-10_final
2022-01-10 09:56:06	ga_s2bm_ard_3-2-1_54HYJ_2022-01-10_final
2022-01-10 09:56:12	ga_s2bm_ard_3-2-1_55HDC_2022-01-10_final
2022-01-10 09:56:19	ga_s2bm_ard_3-2-1_55HBC_2022-01-10_final
2022-01-10 09:56:21	ga_s2bm_ard_3-2-1_54HYH_2022-01-10_final
2022-01-10 09:56:30	ga_s2bm_ard_3-2-1_55HCB_2022-01-10_final
2022-01-10 09:56:33	ga_s2bm_ard_3-2-1_55HBB_2022-01-10_final
2022-01-10 09:56:35	ga_s2bm_ard_3-2-1_54HYG_2022-01-10_final
2022-01-10 09:56:41	ga_s2bm_ard_3-2-1_55HDA_2022-01-10_final
2022-01-10 09:56:42	ga_s2bm_ard_3-2-1_54HXG_2022-01-10_final
2022-01-10 09:56:45	ga_s2bm_ard_3-2-1_55HBA_2022-01-10_final
2022-01-10 09:56:46	ga_s2bm_ard_3-2-1_54HYF_2022-01-10_final
2022-01-10 09:56:48	ga_s2bm_ard_3-2-1_55HDA_2022-01-10_final
2022-01-10 09:56:52	ga_s2bm_ard_3-2-1_55HBA_2022-01-10_final
2022-01-10 09:56:52	ga_s2bm_ard_3-2-1_54HYF_2022-01-10_final
2022-01-10 09:57:18	ga_s2bm_ard_3-2-1_54HYD_2022-01-10_final
2022-01-10 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2022-01-10_final
2022-01-10 09:57:46	ga_s2bm_ard_3-2-1_55HBS_2022-01-10_final
2022-01-10 09:57:47	ga_s2bm_ard_3-2-1_54HYB_2022-01-10_final
2022-01-10 11:31:14	ga_s2bm_ard_3-2-1_52LBK_2022-01-10_final
2022-01-10 11:31:17	ga_s2bm_ard_3-2-1_51LZE_2022-01-10_final
2022-01-10 11:31:20	ga_s2bm_ard_3-2-1_51LYE_2022-01-10_final
2022-01-10 11:31:25	ga_s2bm_ard_3-2-1_52LBJ_2022-01-10_final
2022-01-10 11:31:31	ga_s2bm_ard_3-2-1_51LZD_2022-01-10_final
2022-01-10 11:31:35	ga_s2bm_ard_3-2-1_51LYD_2022-01-10_final
2022-01-10 11:31:38	ga_s2bm_ard_3-2-1_51LXD_2022-01-10_final
2022-01-10 11:31:44	ga_s2bm_ard_3-2-1_51LZC_2022-01-10_final
2022-01-10 11:31:49	ga_s2bm_ard_3-2-1_51LYC_2022-01-10_final
2022-01-10 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2022-01-10_final
2022-01-10 11:32:07	ga_s2bm_ard_3-2-1_51KXB_2022-01-10_final
2022-01-10 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2022-01-10_final
2022-01-10 11:32:15	ga_s2bm_ard_3-2-1_51KVB_2022-01-10_final
2022-01-10 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2022-01-10_final
2022-01-10 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2022-01-10_final
2022-01-10 11:32:28	ga_s2bm_ard_3-2-1_51KVA_2022-01-10_final
2022-01-10 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2022-01-10_final
2022-01-10 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2022-01-10_final
2022-01-10 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2022-01-10_final
2022-01-10 11:32:58	ga_s2bm_ard_3-2-1_51KYT_2022-01-10_final
2022-01-10 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2022-01-10_final
2022-01-10 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2022-01-10_final
2022-01-10 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2022-01-10_final
2022-01-10 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2022-01-10_final
2022-01-10 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2022-01-10_final
2022-01-10 11:34:45	ga_s2bm_ard_3-2-1_50JRS_2022-01-10_final
2022-01-10 11:35:00	ga_s2bm_ard_3-2-1_51JTL_2022-01-10_final
2022-01-10 11:35:04	ga_s2bm_ard_3-2-1_51JWK_2022-01-10_final
2022-01-10 11:35:07	ga_s2bm_ard_3-2-1_51JVK_2022-01-10_final
2022-01-10 11:35:08	ga_s2bm_ard_3-2-1_51JUK_2022-01-10_final
2022-01-10 11:35:10	ga_s2bm_ard_3-2-1_51JTK_2022-01-10_final
2022-01-10 11:35:11	ga_s2bm_ard_3-2-1_51JWK_2022-01-10_final
2022-01-10 11:35:12	ga_s2bm_ard_3-2-1_51JVJ_2022-01-10_final
2022-01-10 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2022-01-10_final
2022-01-10 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2022-01-10_final
2022-01-10 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2022-01-10_final
2022-01-10 11:35:26	ga_s2bm_ard_3-2-1_51JUJ_2022-01-10_final
2022-01-10 11:35:29	ga_s2bm_ard_3-2-1_51JTJ_2022-01-10_final
2022-01-10 11:35:33	ga_s2bm_ard_3-2-1_50JQP_2022-01-10_final
2022-01-10 11:35:37	ga_s2bm_ard_3-2-1_51JVH_2022-01-10_final
2022-01-10 11:35:44	ga_s2bm_ard_3-2-1_51JTH_2022-01-10_final
2022-01-10 11:35:46	ga_s2bm_ard_3-2-1_50JQN_2022-01-10_final
2022-01-10 11:36:10	ga_s2bm_ard_3-2-1_51JUF_2022-01-10_final
2022-01-10 11:36:24	ga_s2bm_ard_3-2-1_51HUE_2022-01-10_final
2022-01-10 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2022-01-10_final
2022-01-10 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2022-01-10_final
2022-01-10 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2022-01-10_final
2022-01-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2022-01-10_final
2022-01-10 11:37:08	ga_s2bm_ard_3-2-1_51HUB_2022-01-10_final.stac-item
2022-01-10 11:37:11	ga_s2bm_ard_3-2-1_51HTB_2022-01-10_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