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
2018-12-26 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-12-26_final
2018-12-26 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2018-12-26_final
2018-12-27 09:51:08	ga_s2bm_ard_3-2-1_55LHC_2018-12-27_final.stac-item
2018-12-27 09:51:12	ga_s2bm_ard_3-2-1_55LGC_2018-12-27_final
2018-12-27 09:51:15	ga_s2bm_ard_3-2-1_55LFC_2018-12-27_final
2018-12-27 09:51:21	ga_s2bm_ard_3-2-1_56KKG_2018-12-27_final.stac-item
2018-12-27 09:51:26	ga_s2bm_ard_3-2-1_55KGB_2018-12-27_final
2018-12-27 09:51:30	ga_s2bm_ard_3-2-1_55KFB_2018-12-27_final
2018-12-27 09:51:44	ga_s2bm_ard_3-2-1_55KFA_2018-12-27_final
2018-12-27 09:52:10	ga_s2bm_ard_3-2-1_55KGU_2018-12-27_final
2018-12-27 09:52:13	ga_s2bm_ard_3-2-1_55KFU_2018-12-27_final
2018-12-27 09:52:16	ga_s2bm_ard_3-2-1_55KEU_2018-12-27_final
2018-12-27 09:52:24	ga_s2bm_ard_3-2-1_55KGT_2018-12-27_final
2018-12-27 09:52:28	ga_s2bm_ard_3-2-1_55KFT_2018-12-27_final
2018-12-27 09:52:31	ga_s2bm_ard_3-2-1_55KET_2018-12-27_final
2018-12-27 09:52:38	ga_s2bm_ard_3-2-1_55KGS_2018-12-27_final
2018-12-27 09:52:57	ga_s2bm_ard_3-2-1_55KFR_2018-12-27_final
2018-12-27 09:53:08	ga_s2bm_ard_3-2-1_55KGQ_2018-12-27_final
2018-12-27 09:53:11	ga_s2bm_ard_3-2-1_55KFQ_2018-12-27_final
2018-12-27 09:53:15	ga_s2bm_ard_3-2-1_55KEQ_2018-12-27_final
2018-12-27 09:53:18	ga_s2bm_ard_3-2-1_55KDQ_2018-12-27_final
2018-12-27 09:53:29	ga_s2bm_ard_3-2-1_55KEP_2018-12-27_final
2018-12-27 09:53:33	ga_s2bm_ard_3-2-1_55KDP_2018-12-27_final
2018-12-27 09:53:40	ga_s2bm_ard_3-2-1_55JFN_2018-12-27_final
2018-12-27 09:53:54	ga_s2bm_ard_3-2-1_55JCN_2018-12-27_final
2018-12-27 09:53:58	ga_s2bm_ard_3-2-1_55JEM_2018-12-27_final
2018-12-27 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2018-12-27_final
2018-12-27 09:55:11	ga_s2bm_ard_3-2-1_55JEG_2018-12-27_final
2018-12-27 09:55:14	ga_s2bm_ard_3-2-1_55JDG_2018-12-27_final
2018-12-27 09:55:18	ga_s2bm_ard_3-2-1_55JCG_2018-12-27_final
2018-12-27 09:55:25	ga_s2bm_ard_3-2-1_55JEF_2018-12-27_final
2018-12-27 09:55:29	ga_s2bm_ard_3-2-1_55JDF_2018-12-27_final
2018-12-27 09:55:53	ga_s2bm_ard_3-2-1_54HYK_2018-12-27_final
2018-12-27 09:56:12	ga_s2bm_ard_3-2-1_55HDC_2018-12-27_final
2018-12-27 09:56:19	ga_s2bm_ard_3-2-1_55HBC_2018-12-27_final
2018-12-27 09:56:21	ga_s2bm_ard_3-2-1_54HYH_2018-12-27_final
2018-12-27 09:56:34	ga_s2bm_ard_3-2-1_55HBB_2018-12-27_final
2018-12-27 09:56:36	ga_s2bm_ard_3-2-1_54HYG_2018-12-27_final
2018-12-27 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2018-12-27_final
2018-12-27 09:57:47	ga_s2bm_ard_3-2-1_55HBS_2018-12-27_final
2018-12-27 09:57:47	ga_s2bm_ard_3-2-1_54HYB_2018-12-27_final
2018-12-27 09:58:10	ga_s2bm_ard_3-2-1_55GCQ_2018-12-27_final
2018-12-27 09:58:20	ga_s2bm_ard_3-2-1_55GCP_2018-12-27_final
2018-12-27 11:31:13	ga_s2bm_ard_3-2-1_52LBK_2018-12-27_final
2018-12-27 11:31:14	ga_s2bm_ard_3-2-1_51LZE_2018-12-27_final
2018-12-27 11:31:16	ga_s2bm_ard_3-2-1_51LYE_2018-12-27_final
2018-12-27 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2018-12-27_final
2018-12-27 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2018-12-27_final
2018-12-27 11:31:23	ga_s2bm_ard_3-2-1_51LYE_2018-12-27_final
2018-12-27 11:31:25	ga_s2bm_ard_3-2-1_52LBJ_2018-12-27_final
2018-12-27 11:31:32	ga_s2bm_ard_3-2-1_51LZD_2018-12-27_final
2018-12-27 11:31:35	ga_s2bm_ard_3-2-1_51LYD_2018-12-27_final
2018-12-27 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2018-12-27_final
2018-12-27 11:31:45	ga_s2bm_ard_3-2-1_51LZC_2018-12-27_final
2018-12-27 11:31:50	ga_s2bm_ard_3-2-1_51LYC_2018-12-27_final
2018-12-27 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2018-12-27_final
2018-12-27 11:32:04	ga_s2bm_ard_3-2-1_51KYB_2018-12-27_final
2018-12-27 11:32:08	ga_s2bm_ard_3-2-1_51KXB_2018-12-27_final
2018-12-27 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2018-12-27_final
2018-12-27 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2018-12-27_final
2018-12-27 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2018-12-27_final
2018-12-27 11:32:33	ga_s2bm_ard_3-2-1_51KYV_2018-12-27_final
2018-12-27 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2018-12-27_final
2018-12-27 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2018-12-27_final
2018-12-27 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2018-12-27_final
2018-12-27 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2018-12-27_final
2018-12-27 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2018-12-27_final
2018-12-27 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2018-12-27_final
2018-12-27 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2018-12-27_final
2018-12-27 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2018-12-27_final
2018-12-27 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2018-12-27_final
2018-12-27 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2018-12-27_final
2018-12-27 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2018-12-27_final
2018-12-27 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2018-12-27_final
2018-12-27 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2018-12-27_final
2018-12-27 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2018-12-27_final
2018-12-27 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2018-12-27_final
2018-12-27 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2018-12-27_final
2018-12-27 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2018-12-27_final
2018-12-27 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2018-12-27_final
2018-12-27 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2018-12-27_final
2018-12-27 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2018-12-27_final
2018-12-27 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2018-12-27_final
2018-12-27 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2018-12-27_final
2018-12-27 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2018-12-27_final
2018-12-27 11:34:28	ga_s2bm_ard_3-2-1_51JUN_2018-12-27_final
2018-12-27 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2018-12-27_final
2018-12-27 11:34:46	ga_s2bm_ard_3-2-1_50JRS_2018-12-27_final
2018-12-27 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2018-12-27_final
2018-12-27 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2018-12-27_final
2018-12-27 11:35:56	ga_s2bm_ard_3-2-1_51JUG_2018-12-27_final
2018-12-27 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2018-12-27_final
2018-12-27 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2018-12-27_final
2018-12-27 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2018-12-27_final
2018-12-27 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2018-12-27_final
2018-12-27 11:36:47	ga_s2bm_ard_3-2-1_51HUC_2018-12-27_final
2018-12-27 11:36:48	ga_s2bm_ard_3-2-1_51HTC_2018-12-27_final
2018-12-27 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2018-12-27_final
2018-12-27 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2018-12-27_final
2018-12-27 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2018-12-27_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