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:

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First 100 results (query limit)

Time (local)	Label
2023-09-09 09:39:54	ga_s2bm_ard_3-2-1_56LPN_2023-09-09_nrt.stac-item
2023-09-09 09:41:25	ga_s2bm_ard_3-2-1_56KNG_2023-09-09_nrt.stac-item
2023-09-09 09:41:28	ga_s2bm_ard_3-2-1_56KMG_2023-09-09_final.stac-item
2023-09-09 09:41:34	ga_s2bm_ard_3-2-1_56KKG_2023-09-09_final.stac-item
2023-09-09 09:41:36	ga_s2bm_ard_3-2-1_55KHB_2023-09-09_final.stac-item
2023-09-09 09:41:45	ga_s2bm_ard_3-2-1_56KLF_2023-09-09_final.stac-item
2023-09-09 09:42:03	ga_s2bm_ard_3-2-1_56KKE_2023-09-09_nrt.stac-item
2023-09-09 09:42:04	ga_s2bm_ard_3-2-1_55KHV_2023-09-09_nrt.stac-item
2023-09-09 09:42:15	ga_s2bm_ard_3-2-1_56KLD_2023-09-09_final.stac-item
2023-09-09 09:42:26	ga_s2bm_ard_3-2-1_56KMC_2023-09-09_nrt.stac-item
2023-09-09 09:42:29	ga_s2bm_ard_3-2-1_56KLC_2023-09-09_nrt.stac-item
2023-09-09 09:42:44	ga_s2bm_ard_3-2-1_56KLB_2023-09-09_final.stac-item
2023-09-09 09:42:47	ga_s2bm_ard_3-2-1_56KKB_2023-09-09_final.stac-item
2023-09-09 09:42:51	ga_s2bm_ard_3-2-1_55KGS_2023-09-09_final.stac-item
2023-09-09 09:42:54	ga_s2bm_ard_3-2-1_56KMA_2023-09-09_final.stac-item
2023-09-09 09:42:58	ga_s2bm_ard_3-2-1_56KLA_2023-09-09_final.stac-item
2023-09-09 09:43:05	ga_s2bm_ard_3-2-1_56KMV_2023-09-09_nrt.stac-item
2023-09-09 09:43:08	ga_s2bm_ard_3-2-1_56KLV_2023-09-09_final.stac-item
2023-09-09 09:43:10	ga_s2bm_ard_3-2-1_55KHR_2023-09-09_final.stac-item
2023-09-09 09:43:10	ga_s2bm_ard_3-2-1_56KKV_2023-09-09_final.stac-item
2023-09-09 09:43:10	ga_s2bm_ard_3-2-1_55KHQ_2023-09-09_final.stac-item
2023-09-09 09:43:12	ga_s2bm_ard_3-2-1_55KGR_2023-09-09_final.stac-item
2023-09-09 09:43:12	ga_s2bm_ard_3-2-1_55KGQ_2023-09-09_final.stac-item
2023-09-09 09:43:15	ga_s2bm_ard_3-2-1_56KLV_2023-09-09_final.stac-item
2023-09-09 09:43:17	ga_s2bm_ard_3-2-1_55KHQ_2023-09-09_final.stac-item
2023-09-09 09:43:17	ga_s2bm_ard_3-2-1_56KKV_2023-09-09_final.stac-item
2023-09-09 09:43:31	ga_s2bm_ard_3-2-1_56KKU_2023-09-09_final.stac-item
2023-09-09 09:43:34	ga_s2bm_ard_3-2-1_55KGP_2023-09-09_final.stac-item
2023-09-09 09:43:45	ga_s2bm_ard_3-2-1_56JKT_2023-09-09_final.stac-item
2023-09-09 09:43:49	ga_s2bm_ard_3-2-1_55JGN_2023-09-09_final.stac-item
2023-09-09 09:43:56	ga_s2bm_ard_3-2-1_56JLS_2023-09-09_final.stac-item
2023-09-09 09:44:03	ga_s2bm_ard_3-2-1_55JGM_2023-09-09_final.stac-item
2023-09-09 09:44:07	ga_s2bm_ard_3-2-1_55JFM_2023-09-09_final.stac-item
2023-09-09 09:44:10	ga_s2bm_ard_3-2-1_56JLR_2023-09-09_final.stac-item
2023-09-09 09:44:21	ga_s2bm_ard_3-2-1_55JFL_2023-09-09_final.stac-item
2023-09-09 09:44:40	ga_s2bm_ard_3-2-1_55JEK_2023-09-09_final.stac-item
2023-09-09 09:44:50	ga_s2bm_ard_3-2-1_55JFJ_2023-09-09_final.stac-item
2023-09-09 09:45:41	ga_s2bm_ard_3-2-1_55JDF_2023-09-09_final.stac-item
2023-09-09 09:45:52	ga_s2bm_ard_3-2-1_55HEE_2023-09-09_final.stac-item
2023-09-09 09:45:59	ga_s2bm_ard_3-2-1_55HGD_2023-09-09_final.stac-item
2023-09-09 09:46:50	ga_s2bm_ard_3-2-1_55HEA_2023-09-09_final.stac-item
2023-09-09 09:46:53	ga_s2bm_ard_3-2-1_55HDA_2023-09-09_final.stac-item
2023-09-09 09:47:48	ga_s2bm_ard_3-2-1_55HES_2023-09-09_final.stac-item
2023-09-09 09:47:51	ga_s2bm_ard_3-2-1_55HDS_2023-09-09_final.stac-item
2023-09-09 09:47:58	ga_s2bm_ard_3-2-1_55HBS_2023-09-09_final.stac-item
2023-09-09 09:47:59	ga_s2bm_ard_3-2-1_54HYB_2023-09-09_final.stac-item
2023-09-09 09:48:26	ga_s2bm_ard_3-2-1_55GEP_2023-09-09_final.stac-item
2023-09-09 09:48:35	ga_s2bm_ard_3-2-1_55GDP_2023-09-09_final.stac-item
2023-09-09 09:48:39	ga_s2bm_ard_3-2-1_55GCP_2023-09-09_final.stac-item
2023-09-09 09:48:42	ga_s2bm_ard_3-2-1_54GYU_2023-09-09_nrt.stac-item
2023-09-09 09:48:42	ga_s2bm_ard_3-2-1_55GBP_2023-09-09_nrt.stac-item
2023-09-09 09:48:47	ga_s2bm_ard_3-2-1_54GXU_2023-09-09_nrt.stac-item
2023-09-09 11:20:41	ga_s2bm_ard_3-2-1_52LCN_2023-09-09_nrt.stac-item
2023-09-09 11:20:44	ga_s2bm_ard_3-2-1_52LBN_2023-09-09_nrt.stac-item
2023-09-09 11:20:50	ga_s2bm_ard_3-2-1_51LZH_2023-09-09_nrt.stac-item
2023-09-09 11:20:56	ga_s2bm_ard_3-2-1_52LCM_2023-09-09_nrt.stac-item
2023-09-09 11:22:04	ga_s2bm_ard_3-2-1_52KDG_2023-09-09_final.stac-item
2023-09-09 11:22:12	ga_s2bm_ard_3-2-1_52KBG_2023-09-09_final.stac-item
2023-09-09 11:22:13	ga_s2bm_ard_3-2-1_51KZB_2023-09-09_final.stac-item
2023-09-09 11:22:16	ga_s2bm_ard_3-2-1_51KYB_2023-09-09_final.stac-item
2023-09-09 11:22:23	ga_s2bm_ard_3-2-1_52KCF_2023-09-09_final.stac-item
2023-09-09 11:22:41	ga_s2bm_ard_3-2-1_52KBE_2023-09-09_final.stac-item
2023-09-09 11:22:42	ga_s2bm_ard_3-2-1_51KZV_2023-09-09_final.stac-item
2023-09-09 11:22:45	ga_s2bm_ard_3-2-1_51KYV_2023-09-09_final.stac-item
2023-09-09 11:22:52	ga_s2bm_ard_3-2-1_52KCD_2023-09-09_final.stac-item
2023-09-09 11:23:04	ga_s2bm_ard_3-2-1_51KXU_2023-09-09_final.stac-item
2023-09-09 11:23:07	ga_s2bm_ard_3-2-1_52KCC_2023-09-09_final.stac-item
2023-09-09 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-09-09_final.stac-item
2023-09-09 11:23:20	ga_s2bm_ard_3-2-1_52KCB_2023-09-09_final.stac-item
2023-09-09 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-09-09_final.stac-item
2023-09-09 11:23:29	ga_s2bm_ard_3-2-1_51KYS_2023-09-09_final.stac-item
2023-09-09 11:23:31	ga_s2bm_ard_3-2-1_52KCA_2023-09-09_final.stac-item
2023-09-09 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2023-09-09_final.stac-item
2023-09-09 11:23:39	ga_s2bm_ard_3-2-1_52KBA_2023-09-09_final.stac-item
2023-09-09 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2023-09-09_final.stac-item
2023-09-09 11:23:47	ga_s2bm_ard_3-2-1_51KXR_2023-09-09_final.stac-item
2023-09-09 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-09-09_final.stac-item
2023-09-09 11:23:54	ga_s2bm_ard_3-2-1_51KZQ_2023-09-09_final.stac-item
2023-09-09 11:24:01	ga_s2bm_ard_3-2-1_51KXQ_2023-09-09_final.stac-item
2023-09-09 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2023-09-09_final.stac-item
2023-09-09 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2023-09-09_final.stac-item
2023-09-09 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-09-09_final.stac-item
2023-09-09 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2023-09-09_final.stac-item
2023-09-09 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2023-09-09_final.stac-item
2023-09-09 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2023-09-09_final.stac-item
2023-09-09 11:24:34	ga_s2bm_ard_3-2-1_51JWN_2023-09-09_final.stac-item
2023-09-09 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2023-09-09_final.stac-item
2023-09-09 11:24:41	ga_s2bm_ard_3-2-1_51JWN_2023-09-09_final.stac-item
2023-09-09 11:24:46	ga_s2bm_ard_3-2-1_51JXM_2023-09-09_final.stac-item
2023-09-09 11:24:59	ga_s2bm_ard_3-2-1_51JXL_2023-09-09_final.stac-item
2023-09-09 11:25:03	ga_s2bm_ard_3-2-1_51JWL_2023-09-09_final.stac-item
2023-09-09 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2023-09-09_final.stac-item
2023-09-09 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2023-09-09_final.stac-item
2023-09-09 11:26:01	ga_s2bm_ard_3-2-1_51JWG_2023-09-09_final.stac-item
2023-09-09 11:26:04	ga_s2bm_ard_3-2-1_51JVG_2023-09-09_final.stac-item
2023-09-09 11:26:09	ga_s2bm_ard_3-2-1_51JUG_2023-09-09_final.stac-item
2023-09-09 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2023-09-09_final.stac-item
2023-09-09 11:26:30	ga_s2bm_ard_3-2-1_51HWE_2023-09-09_final.stac-item
2023-09-09 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-09-09_final.stac-item
2023-09-09 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2023-09-09_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

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