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
2019-11-21 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2019-11-21_final
2019-11-21 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-11-21_final
2019-11-21 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2019-11-21_final
2019-11-21 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-11-21_final
2019-11-21 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2019-11-21_final
2019-11-21 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-11-21_final
2019-11-21 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2019-11-21_final
2019-11-21 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-11-21_final
2019-11-21 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2019-11-21_final.stac-item
2019-11-21 12:06:12	ga_s2bm_ard_3-2-1_50JLL_2019-11-21_final
2019-11-22 09:51:16	ga_s2bm_ard_3-2-1_55LFC_2019-11-22_final
2019-11-22 09:52:14	ga_s2bm_ard_3-2-1_55KFU_2019-11-22_final
2019-11-22 09:52:29	ga_s2bm_ard_3-2-1_55KFT_2019-11-22_final
2019-11-22 09:52:32	ga_s2bm_ard_3-2-1_55KET_2019-11-22_final
2019-11-22 09:52:39	ga_s2bm_ard_3-2-1_55KGS_2019-11-22_final
2019-11-22 09:52:54	ga_s2bm_ard_3-2-1_55KGR_2019-11-22_final
2019-11-22 09:52:58	ga_s2bm_ard_3-2-1_55KFR_2019-11-22_final
2019-11-22 09:53:12	ga_s2bm_ard_3-2-1_55KFQ_2019-11-22_final
2019-11-22 09:53:15	ga_s2bm_ard_3-2-1_55KEQ_2019-11-22_final
2019-11-22 09:53:19	ga_s2bm_ard_3-2-1_55KDQ_2019-11-22_final
2019-11-22 09:53:30	ga_s2bm_ard_3-2-1_55KEP_2019-11-22_final
2019-11-22 09:53:33	ga_s2bm_ard_3-2-1_55KDP_2019-11-22_final
2019-11-22 09:53:45	ga_s2bm_ard_3-2-1_55JGM_2019-11-22_final
2019-11-22 09:54:10	ga_s2bm_ard_3-2-1_55JFL_2019-11-22_final
2019-11-22 09:54:14	ga_s2bm_ard_3-2-1_55JEL_2019-11-22_final
2019-11-22 09:54:17	ga_s2bm_ard_3-2-1_55JDL_2019-11-22_final
2019-11-22 09:54:20	ga_s2bm_ard_3-2-1_55JCL_2019-11-22_final
2019-11-22 09:54:24	ga_s2bm_ard_3-2-1_55JFK_2019-11-22_final
2019-11-22 09:54:35	ga_s2bm_ard_3-2-1_55JCK_2019-11-22_final
2019-11-22 09:54:38	ga_s2bm_ard_3-2-1_55JFJ_2019-11-22_final
2019-11-22 09:54:49	ga_s2bm_ard_3-2-1_55JCJ_2019-11-22_final
2019-11-22 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2019-11-22_final
2019-11-22 09:55:11	ga_s2bm_ard_3-2-1_55JEG_2019-11-22_final
2019-11-22 09:55:15	ga_s2bm_ard_3-2-1_55JDG_2019-11-22_final
2019-11-22 09:55:26	ga_s2bm_ard_3-2-1_55JEF_2019-11-22_final
2019-11-22 09:55:30	ga_s2bm_ard_3-2-1_55JDF_2019-11-22_final
2019-11-22 09:55:33	ga_s2bm_ard_3-2-1_55JCF_2019-11-22_final
2019-11-22 09:55:40	ga_s2bm_ard_3-2-1_55HEE_2019-11-22_final
2019-11-22 09:55:44	ga_s2bm_ard_3-2-1_55HDE_2019-11-22_final
2019-11-22 09:55:51	ga_s2bm_ard_3-2-1_55HBE_2019-11-22_final
2019-11-22 09:55:54	ga_s2bm_ard_3-2-1_54HYK_2019-11-22_final
2019-11-22 09:56:17	ga_s2bm_ard_3-2-1_55HCC_2019-11-22_final
2019-11-22 09:56:31	ga_s2bm_ard_3-2-1_55HCB_2019-11-22_final
2019-11-22 09:56:34	ga_s2bm_ard_3-2-1_55HBB_2019-11-22_final
2019-11-22 09:56:36	ga_s2bm_ard_3-2-1_54HYG_2019-11-22_final
2019-11-22 09:56:43	ga_s2bm_ard_3-2-1_54HXG_2019-11-22_final
2019-11-22 09:56:46	ga_s2bm_ard_3-2-1_55HCA_2019-11-22_final
2019-11-22 09:56:49	ga_s2bm_ard_3-2-1_55HBA_2019-11-22_final
2019-11-22 09:56:51	ga_s2bm_ard_3-2-1_54HYF_2019-11-22_final
2019-11-22 09:56:55	ga_s2bm_ard_3-2-1_54HXF_2019-11-22_final
2019-11-22 09:57:06	ga_s2bm_ard_3-2-1_55HDU_2019-11-22_final
2019-11-22 09:57:15	ga_s2bm_ard_3-2-1_55HCU_2019-11-22_final
2019-11-22 09:57:18	ga_s2bm_ard_3-2-1_55HBU_2019-11-22_final
2019-11-22 09:57:19	ga_s2bm_ard_3-2-1_54HYD_2019-11-22_final
2019-11-22 09:57:23	ga_s2bm_ard_3-2-1_54HXD_2019-11-22_final
2019-11-22 09:57:44	ga_s2bm_ard_3-2-1_55HCS_2019-11-22_final
2019-11-22 09:57:47	ga_s2bm_ard_3-2-1_55HBS_2019-11-22_final
2019-11-22 09:57:48	ga_s2bm_ard_3-2-1_54HYB_2019-11-22_final
2019-11-22 09:58:21	ga_s2bm_ard_3-2-1_55GCP_2019-11-22_final
2019-11-22 11:31:15	ga_s2bm_ard_3-2-1_52LBK_2019-11-22_final
2019-11-22 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2019-11-22_final
2019-11-22 11:31:21	ga_s2bm_ard_3-2-1_51LYE_2019-11-22_final
2019-11-22 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2019-11-22_final
2019-11-22 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2019-11-22_final
2019-11-22 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2019-11-22_final
2019-11-22 11:32:34	ga_s2bm_ard_3-2-1_51KYV_2019-11-22_final
2019-11-22 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2019-11-22_final
2019-11-22 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2019-11-22_final
2019-11-22 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2019-11-22_final
2019-11-22 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2019-11-22_final
2019-11-22 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2019-11-22_final
2019-11-22 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2019-11-22_final
2019-11-22 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2019-11-22_final
2019-11-22 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2019-11-22_final
2019-11-22 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2019-11-22_final
2019-11-22 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2019-11-22_final
2019-11-22 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2019-11-22_final
2019-11-22 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2019-11-22_final
2019-11-22 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2019-11-22_final
2019-11-22 11:34:52	ga_s2bm_ard_3-2-1_51JWL_2019-11-22_final
2019-11-22 11:34:55	ga_s2bm_ard_3-2-1_51JVL_2019-11-22_final
2019-11-22 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2019-11-22_final
2019-11-22 11:35:16	ga_s2bm_ard_3-2-1_51JTK_2019-11-22_final
2019-11-22 11:35:27	ga_s2bm_ard_3-2-1_51JUJ_2019-11-22_final
2019-11-22 11:35:41	ga_s2bm_ard_3-2-1_51JTH_2019-11-22_final
2019-11-22 11:35:42	ga_s2bm_ard_3-2-1_50JQN_2019-11-22_final
2019-11-22 11:35:47	ga_s2bm_ard_3-2-1_51JTH_2019-11-22_final
2019-11-22 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2019-11-22_final
2019-11-22 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2019-11-22_final
2019-11-22 11:36:11	ga_s2bm_ard_3-2-1_51JUF_2019-11-22_final
2019-11-22 11:36:21	ga_s2bm_ard_3-2-1_51HVE_2019-11-22_final
2019-11-22 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2019-11-22_final
2019-11-22 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2019-11-22_final
2019-11-22 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2019-11-22_final
2019-11-22 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2019-11-22_final
2019-11-22 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2019-11-22_final
2019-11-22 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2019-11-22_final
2019-11-22 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2019-11-22_final.stac-item
2019-11-22 11:37:13	ga_s2bm_ard_3-2-1_51HTB_2019-11-22_final.stac-item
2019-11-22 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2019-11-22_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