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
2022-05-09 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2022-05-09_final
2022-05-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-05-09_final
2022-05-09 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2022-05-09_final
2022-05-09 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2022-05-09_final
2022-05-09 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-05-09_final
2022-05-09 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2022-05-09_final
2022-05-09 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2022-05-09_final
2022-05-09 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-05-09_final
2022-05-10 09:51:16	ga_s2bm_ard_3-2-1_55LFC_2022-05-10_final
2022-05-10 09:52:03	ga_s2bm_ard_3-2-1_55KEV_2022-05-10_final
2022-05-10 09:52:14	ga_s2bm_ard_3-2-1_55KFU_2022-05-10_final
2022-05-10 09:52:39	ga_s2bm_ard_3-2-1_55KGS_2022-05-10_final
2022-05-10 09:52:54	ga_s2bm_ard_3-2-1_55KGR_2022-05-10_final
2022-05-10 09:53:12	ga_s2bm_ard_3-2-1_55KFQ_2022-05-10_final
2022-05-10 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2022-05-10_final
2022-05-10 09:53:19	ga_s2bm_ard_3-2-1_55KDQ_2022-05-10_final
2022-05-10 09:54:10	ga_s2bm_ard_3-2-1_55JFL_2022-05-10_final
2022-05-10 09:54:14	ga_s2bm_ard_3-2-1_55JEL_2022-05-10_final
2022-05-10 09:54:17	ga_s2bm_ard_3-2-1_55JDL_2022-05-10_final
2022-05-10 09:54:20	ga_s2bm_ard_3-2-1_55JCL_2022-05-10_final
2022-05-10 09:54:42	ga_s2bm_ard_3-2-1_55JEJ_2022-05-10_final
2022-05-10 09:54:46	ga_s2bm_ard_3-2-1_55JDJ_2022-05-10_final
2022-05-10 09:55:33	ga_s2bm_ard_3-2-1_55JCF_2022-05-10_final
2022-05-10 09:55:40	ga_s2bm_ard_3-2-1_55HEE_2022-05-10_final
2022-05-10 09:55:44	ga_s2bm_ard_3-2-1_55HDE_2022-05-10_final
2022-05-10 09:55:48	ga_s2bm_ard_3-2-1_55HCE_2022-05-10_final
2022-05-10 09:55:51	ga_s2bm_ard_3-2-1_55HBE_2022-05-10_final
2022-05-10 09:55:51	ga_s2bm_ard_3-2-1_55HED_2022-05-10_final
2022-05-10 09:55:54	ga_s2bm_ard_3-2-1_54HYK_2022-05-10_final
2022-05-10 09:56:02	ga_s2bm_ard_3-2-1_55HCD_2022-05-10_final
2022-05-10 09:56:05	ga_s2bm_ard_3-2-1_55HBD_2022-05-10_final
2022-05-10 09:56:07	ga_s2bm_ard_3-2-1_54HYJ_2022-05-10_final
2022-05-10 09:56:13	ga_s2bm_ard_3-2-1_55HDC_2022-05-10_final
2022-05-10 09:56:17	ga_s2bm_ard_3-2-1_55HCC_2022-05-10_final
2022-05-10 09:56:20	ga_s2bm_ard_3-2-1_55HBC_2022-05-10_final
2022-05-10 09:56:22	ga_s2bm_ard_3-2-1_54HYH_2022-05-10_final
2022-05-10 09:56:28	ga_s2bm_ard_3-2-1_55HDB_2022-05-10_final
2022-05-10 09:56:31	ga_s2bm_ard_3-2-1_55HCB_2022-05-10_final
2022-05-10 09:56:42	ga_s2bm_ard_3-2-1_55HDA_2022-05-10_final
2022-05-10 09:56:43	ga_s2bm_ard_3-2-1_54HXG_2022-05-10_final
2022-05-10 09:56:46	ga_s2bm_ard_3-2-1_55HCA_2022-05-10_final
2022-05-10 09:56:49	ga_s2bm_ard_3-2-1_55HBA_2022-05-10_final
2022-05-10 09:56:51	ga_s2bm_ard_3-2-1_54HYF_2022-05-10_final
2022-05-10 09:56:55	ga_s2bm_ard_3-2-1_54HXF_2022-05-10_final
2022-05-10 09:56:55	ga_s2bm_ard_3-2-1_55HDV_2022-05-10_final
2022-05-10 09:57:00	ga_s2bm_ard_3-2-1_55HCV_2022-05-10_final
2022-05-10 09:57:04	ga_s2bm_ard_3-2-1_55HBV_2022-05-10_final
2022-05-10 09:57:05	ga_s2bm_ard_3-2-1_54HYE_2022-05-10_final
2022-05-10 09:57:07	ga_s2bm_ard_3-2-1_54HXE_2022-05-10_final
2022-05-10 09:57:11	ga_s2bm_ard_3-2-1_55HBV_2022-05-10_final
2022-05-10 09:57:12	ga_s2bm_ard_3-2-1_55HBU_2022-05-10_final
2022-05-10 09:57:12	ga_s2bm_ard_3-2-1_54HYE_2022-05-10_final
2022-05-10 09:57:14	ga_s2bm_ard_3-2-1_54HXE_2022-05-10_final
2022-05-10 09:57:19	ga_s2bm_ard_3-2-1_55HBU_2022-05-10_final
2022-05-10 09:57:58	ga_s2bm_ard_3-2-1_55GCR_2022-05-10_final
2022-05-10 09:58:02	ga_s2bm_ard_3-2-1_55GBR_2022-05-10_final
2022-05-10 09:58:03	ga_s2bm_ard_3-2-1_54GYA_2022-05-10_final
2022-05-10 09:58:11	ga_s2bm_ard_3-2-1_55GCQ_2022-05-10_final
2022-05-10 09:58:17	ga_s2bm_ard_3-2-1_55GBQ_2022-05-10_final.stac-item
2022-05-10 09:58:17	ga_s2bm_ard_3-2-1_54GYV_2022-05-10_final.stac-item
2022-05-10 09:58:21	ga_s2bm_ard_3-2-1_55GCP_2022-05-10_final
2022-05-10 11:31:15	ga_s2bm_ard_3-2-1_52LBK_2022-05-10_final
2022-05-10 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2022-05-10_final
2022-05-10 11:31:21	ga_s2bm_ard_3-2-1_51LYE_2022-05-10_final
2022-05-10 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2022-05-10_final
2022-05-10 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2022-05-10_final
2022-05-10 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2022-05-10_final
2022-05-10 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2022-05-10_final
2022-05-10 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2022-05-10_final
2022-05-10 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2022-05-10_final
2022-05-10 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2022-05-10_final
2022-05-10 11:34:52	ga_s2bm_ard_3-2-1_51JWL_2022-05-10_final
2022-05-10 11:34:55	ga_s2bm_ard_3-2-1_51JVL_2022-05-10_final
2022-05-10 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2022-05-10_final
2022-05-10 11:35:01	ga_s2bm_ard_3-2-1_51JTL_2022-05-10_final
2022-05-10 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2022-05-10_final
2022-05-10 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2022-05-10_final
2022-05-10 11:35:16	ga_s2bm_ard_3-2-1_51JTK_2022-05-10_final
2022-05-10 11:35:24	ga_s2bm_ard_3-2-1_51JVJ_2022-05-10_final
2022-05-10 11:35:45	ga_s2bm_ard_3-2-1_51JTH_2022-05-10_final
2022-05-10 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2022-05-10_final
2022-05-10 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2022-05-10_final
2022-05-10 11:36:11	ga_s2bm_ard_3-2-1_51JUF_2022-05-10_final
2022-05-10 11:36:21	ga_s2bm_ard_3-2-1_51HVE_2022-05-10_final
2022-05-10 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2022-05-10_final
2022-05-10 11:36:26	ga_s2bm_ard_3-2-1_51HUE_2022-05-10_final
2022-05-10 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2022-05-10_final
2022-05-10 11:36:31	ga_s2bm_ard_3-2-1_51HVD_2022-05-10_final
2022-05-10 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-05-10_final
2022-05-10 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2022-05-10_final
2022-05-10 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2022-05-10_final
2022-05-10 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2022-05-10_final
2022-05-10 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2022-05-10_final
2022-05-10 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-05-10_final
2022-05-10 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2022-05-10_final
2022-05-10 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2022-05-10_final
2022-05-10 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2022-05-10_final
2022-05-10 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-05-10_final
2022-05-10 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2022-05-10_final.stac-item
2022-05-10 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2022-05-10_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