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
2023-12-17 11:57:26	ga_s2bm_ard_3-2-1_49HFB_2023-12-17_nrt.stac-item
2023-12-17 11:57:27	ga_s2bm_ard_3-2-1_50HMF_2023-12-17_nrt.stac-item
2023-12-18 09:39:35	ga_s2bm_ard_3-2-1_56LPP_2023-12-18_nrt.stac-item
2023-12-18 09:39:38	ga_s2bm_ard_3-2-1_56LNP_2023-12-18_nrt.stac-item
2023-12-18 09:39:48	ga_s2bm_ard_3-2-1_56LLP_2023-12-18_nrt.stac-item
2023-12-18 09:41:18	ga_s2bm_ard_3-2-1_56LKH_2023-12-18_nrt.stac-item
2023-12-18 09:41:27	ga_s2bm_ard_3-2-1_56KLG_2023-12-18_final.stac-item
2023-12-18 09:41:46	ga_s2bm_ard_3-2-1_56KNE_2023-12-18_nrt.stac-item
2023-12-18 09:41:52	ga_s2bm_ard_3-2-1_56KME_2023-12-18_final.stac-item
2023-12-18 09:42:07	ga_s2bm_ard_3-2-1_56KMD_2023-12-18_final.stac-item
2023-12-18 09:42:10	ga_s2bm_ard_3-2-1_56KLD_2023-12-18_final.stac-item
2023-12-18 09:42:22	ga_s2bm_ard_3-2-1_56KMC_2023-12-18_nrt.stac-item
2023-12-18 09:42:25	ga_s2bm_ard_3-2-1_56KLC_2023-12-18_nrt.stac-item
2023-12-18 09:42:54	ga_s2bm_ard_3-2-1_56KLA_2023-12-18_final.stac-item
2023-12-18 09:43:01	ga_s2bm_ard_3-2-1_56KMV_2023-12-18_nrt.stac-item
2023-12-18 09:44:05	ga_s2bm_ard_3-2-1_56JLR_2023-12-18_final.stac-item
2023-12-18 09:44:10	ga_s2bm_ard_3-2-1_56JKR_2023-12-18_final.stac-item
2023-12-18 09:44:13	ga_s2bm_ard_3-2-1_55JGL_2023-12-18_final.stac-item
2023-12-18 09:44:17	ga_s2bm_ard_3-2-1_55JFL_2023-12-18_final.stac-item
2023-12-18 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2023-12-18_final.stac-item
2023-12-18 09:44:46	ga_s2bm_ard_3-2-1_55JFJ_2023-12-18_final.stac-item
2023-12-18 09:44:54	ga_s2bm_ard_3-2-1_56JKN_2023-12-18_final.stac-item
2023-12-18 09:44:57	ga_s2bm_ard_3-2-1_55JGH_2023-12-18_final.stac-item
2023-12-18 09:45:08	ga_s2bm_ard_3-2-1_56JKM_2023-12-18_final.stac-item
2023-12-18 09:45:11	ga_s2bm_ard_3-2-1_55JGG_2023-12-18_final.stac-item
2023-12-18 09:45:22	ga_s2bm_ard_3-2-1_56JKL_2023-12-18_final.stac-item
2023-12-18 09:45:25	ga_s2bm_ard_3-2-1_55JGF_2023-12-18_final.stac-item
2023-12-18 09:45:32	ga_s2bm_ard_3-2-1_56HKK_2023-12-18_final.stac-item
2023-12-18 09:45:33	ga_s2bm_ard_3-2-1_55JEF_2023-12-18_final.stac-item
2023-12-18 09:45:37	ga_s2bm_ard_3-2-1_55JDF_2023-12-18_final.stac-item
2023-12-18 09:45:40	ga_s2bm_ard_3-2-1_55HGE_2023-12-18_final.stac-item
2023-12-18 09:45:47	ga_s2bm_ard_3-2-1_55HEE_2023-12-18_final.stac-item
2023-12-18 09:45:51	ga_s2bm_ard_3-2-1_55HDE_2023-12-18_final.stac-item
2023-12-18 09:46:02	ga_s2bm_ard_3-2-1_55HED_2023-12-18_final.stac-item
2023-12-18 09:46:05	ga_s2bm_ard_3-2-1_55HDD_2023-12-18_final.stac-item
2023-12-18 09:46:17	ga_s2bm_ard_3-2-1_55HGB_2023-12-18_final.stac-item
2023-12-18 09:46:27	ga_s2bm_ard_3-2-1_55HFB_2023-12-18_final.stac-item
2023-12-18 09:46:31	ga_s2bm_ard_3-2-1_55HEB_2023-12-18_final.stac-item
2023-12-18 09:46:42	ga_s2bm_ard_3-2-1_55HFA_2023-12-18_final.stac-item
2023-12-18 09:46:52	ga_s2bm_ard_3-2-1_55HCA_2023-12-18_final.stac-item
2023-12-18 09:47:19	ga_s2bm_ard_3-2-1_55HFT_2023-12-18_final.stac-item
2023-12-18 09:47:19	ga_s2bm_ard_3-2-1_55HCU_2023-12-18_final.stac-item
2023-12-18 09:47:23	ga_s2bm_ard_3-2-1_55HET_2023-12-18_final.stac-item
2023-12-18 09:47:24	ga_s2bm_ard_3-2-1_55HDT_2023-12-18_final.stac-item
2023-12-18 09:47:26	ga_s2bm_ard_3-2-1_55HCU_2023-12-18_final.stac-item
2023-12-18 09:47:29	ga_s2bm_ard_3-2-1_55HBU_2023-12-18_final.stac-item
2023-12-18 09:47:29	ga_s2bm_ard_3-2-1_55HET_2023-12-18_final.stac-item
2023-12-18 09:47:33	ga_s2bm_ard_3-2-1_55HDT_2023-12-18_final.stac-item
2023-12-18 09:47:36	ga_s2bm_ard_3-2-1_55HCT_2023-12-18_final.stac-item
2023-12-18 09:47:40	ga_s2bm_ard_3-2-1_55HBT_2023-12-18_final.stac-item
2023-12-18 09:47:44	ga_s2bm_ard_3-2-1_54HYC_2023-12-18_final.stac-item
2023-12-18 09:47:54	ga_s2bm_ard_3-2-1_55HBS_2023-12-18_final.stac-item
2023-12-18 09:47:55	ga_s2bm_ard_3-2-1_54HYB_2023-12-18_final.stac-item
2023-12-18 09:48:08	ga_s2bm_ard_3-2-1_55GBR_2023-12-18_final.stac-item
2023-12-18 09:48:11	ga_s2bm_ard_3-2-1_55GEQ_2023-12-18_final.stac-item
2023-12-18 09:48:20	ga_s2bm_ard_3-2-1_55GCQ_2023-12-18_final.stac-item
2023-12-18 09:48:23	ga_s2bm_ard_3-2-1_55GBQ_2023-12-18_final.stac-item
2023-12-18 09:48:23	ga_s2bm_ard_3-2-1_54GYV_2023-12-18_final.stac-item
2023-12-18 09:48:45	ga_s2bm_ard_3-2-1_55GDN_2023-12-18_final.stac-item
2023-12-18 09:48:49	ga_s2bm_ard_3-2-1_55GCN_2023-12-18_final.stac-item
2023-12-18 09:48:52	ga_s2bm_ard_3-2-1_54GYT_2023-12-18_nrt.stac-item
2023-12-18 09:48:55	ga_s2bm_ard_3-2-1_54GXT_2023-12-18_nrt.stac-item
2023-12-18 09:48:57	ga_s2bm_ard_3-2-1_55GDM_2023-12-18_final.stac-item
2023-12-18 09:48:59	ga_s2bm_ard_3-2-1_55GCM_2023-12-18_final.stac-item
2023-12-18 09:49:00	ga_s2bm_ard_3-2-1_54GYS_2023-12-18_nrt.stac-item
2023-12-18 09:49:02	ga_s2bm_ard_3-2-1_54GXS_2023-12-18_nrt.stac-item
2023-12-18 11:20:34	ga_s2bm_ard_3-2-1_52LDN_2023-12-18_nrt.stac-item
2023-12-18 11:21:08	ga_s2bm_ard_3-2-1_52LEK_2023-12-18_final.stac-item
2023-12-18 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2023-12-18_final.stac-item
2023-12-18 11:21:32	ga_s2bm_ard_3-2-1_52LDJ_2023-12-18_final.stac-item
2023-12-18 11:21:47	ga_s2bm_ard_3-2-1_52LDH_2023-12-18_final.stac-item
2023-12-18 11:21:50	ga_s2bm_ard_3-2-1_52LCH_2023-12-18_final.stac-item
2023-12-18 11:21:54	ga_s2bm_ard_3-2-1_51LZC_2023-12-18_final.stac-item
2023-12-18 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2023-12-18_final.stac-item
2023-12-18 11:22:04	ga_s2bm_ard_3-2-1_52KCG_2023-12-18_final.stac-item
2023-12-18 11:22:19	ga_s2bm_ard_3-2-1_52KCF_2023-12-18_final.stac-item
2023-12-18 11:22:48	ga_s2bm_ard_3-2-1_52KCD_2023-12-18_final.stac-item
2023-12-18 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2023-12-18_final.stac-item
2023-12-18 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2023-12-18_final.stac-item
2023-12-18 11:23:27	ga_s2bm_ard_3-2-1_52KCA_2023-12-18_final.stac-item
2023-12-18 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2023-12-18_final.stac-item
2023-12-18 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2023-12-18_final.stac-item
2023-12-18 11:24:43	ga_s2bm_ard_3-2-1_52JBR_2023-12-18_final.stac-item
2023-12-18 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2023-12-18_final.stac-item
2023-12-18 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2023-12-18_final.stac-item
2023-12-18 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2023-12-18_final.stac-item
2023-12-18 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2023-12-18_final.stac-item
2023-12-18 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2023-12-18_final.stac-item
2023-12-18 11:25:16	ga_s2bm_ard_3-2-1_51JVK_2023-12-18_final.stac-item
2023-12-18 11:25:45	ga_s2bm_ard_3-2-1_51JYG_2023-12-18_final.stac-item
2023-12-18 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2023-12-18_final.stac-item
2023-12-18 11:26:00	ga_s2bm_ard_3-2-1_51JVG_2023-12-18_final.stac-item
2023-12-18 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2023-12-18_final.stac-item
2023-12-18 11:26:18	ga_s2bm_ard_3-2-1_51JUF_2023-12-18_final.stac-item
2023-12-18 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2023-12-18_final.stac-item
2023-12-18 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2023-12-18_final.stac-item
2023-12-18 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2023-12-18_final.stac-item
2023-12-18 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2023-12-18_final.stac-item
2023-12-18 11:27:07	ga_s2bm_ard_3-2-1_51HWB_2023-12-18_final.stac-item
2023-12-18 11:27:11	ga_s2bm_ard_3-2-1_51HUB_2023-12-18_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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