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
2023-10-18 11:57:29	ga_s2bm_ard_3-2-1_49HFB_2023-10-18_nrt.stac-item
2023-10-19 09:42:24	ga_s2bm_ard_3-2-1_56KMC_2023-10-19_nrt.stac-item
2023-10-19 09:43:03	ga_s2bm_ard_3-2-1_56KMV_2023-10-19_nrt.stac-item
2023-10-19 09:44:08	ga_s2bm_ard_3-2-1_56JLR_2023-10-19_final.stac-item
2023-10-19 09:44:12	ga_s2bm_ard_3-2-1_56JKR_2023-10-19_final.stac-item
2023-10-19 09:44:16	ga_s2bm_ard_3-2-1_55JGL_2023-10-19_final.stac-item
2023-10-19 09:44:18	ga_s2bm_ard_3-2-1_56JLQ_2023-10-19_final.stac-item
2023-10-19 09:44:19	ga_s2bm_ard_3-2-1_55JFL_2023-10-19_final.stac-item
2023-10-19 09:44:27	ga_s2bm_ard_3-2-1_56JKQ_2023-10-19_final.stac-item
2023-10-19 09:44:27	ga_s2bm_ard_3-2-1_55JEL_2023-10-19_final.stac-item
2023-10-19 09:44:30	ga_s2bm_ard_3-2-1_55JGK_2023-10-19_final.stac-item
2023-10-19 09:44:34	ga_s2bm_ard_3-2-1_55JFK_2023-10-19_final.stac-item
2023-10-19 09:44:38	ga_s2bm_ard_3-2-1_55JEK_2023-10-19_final.stac-item
2023-10-19 09:44:51	ga_s2bm_ard_3-2-1_55JEJ_2023-10-19_final.stac-item
2023-10-19 09:44:56	ga_s2bm_ard_3-2-1_56JKN_2023-10-19_final.stac-item
2023-10-19 09:44:59	ga_s2bm_ard_3-2-1_55JGH_2023-10-19_final.stac-item
2023-10-19 09:45:11	ga_s2bm_ard_3-2-1_56JKM_2023-10-19_final.stac-item
2023-10-19 09:45:13	ga_s2bm_ard_3-2-1_55JGG_2023-10-19_final.stac-item
2023-10-19 09:45:17	ga_s2bm_ard_3-2-1_55JFG_2023-10-19_final.stac-item
2023-10-19 09:45:21	ga_s2bm_ard_3-2-1_55JEG_2023-10-19_final.stac-item
2023-10-19 09:45:28	ga_s2bm_ard_3-2-1_55JDG_2023-10-19_final.stac-item
2023-10-19 09:45:32	ga_s2bm_ard_3-2-1_55JFF_2023-10-19_final.stac-item
2023-10-19 09:45:35	ga_s2bm_ard_3-2-1_56HKK_2023-10-19_final.stac-item
2023-10-19 09:45:35	ga_s2bm_ard_3-2-1_55JEF_2023-10-19_final.stac-item
2023-10-19 09:45:39	ga_s2bm_ard_3-2-1_55JDF_2023-10-19_final.stac-item
2023-10-19 09:45:42	ga_s2bm_ard_3-2-1_55HGE_2023-10-19_final.stac-item
2023-10-19 09:45:46	ga_s2bm_ard_3-2-1_55HFE_2023-10-19_final.stac-item
2023-10-19 09:45:50	ga_s2bm_ard_3-2-1_55HEE_2023-10-19_final.stac-item
2023-10-19 09:45:53	ga_s2bm_ard_3-2-1_55HDE_2023-10-19_final.stac-item
2023-10-19 09:45:57	ga_s2bm_ard_3-2-1_55HGD_2023-10-19_final.stac-item
2023-10-19 09:46:15	ga_s2bm_ard_3-2-1_55HFC_2023-10-19_final.stac-item
2023-10-19 09:46:19	ga_s2bm_ard_3-2-1_55HEC_2023-10-19_final.stac-item
2023-10-19 09:46:19	ga_s2bm_ard_3-2-1_55HGB_2023-10-19_final.stac-item
2023-10-19 09:46:22	ga_s2bm_ard_3-2-1_55HDC_2023-10-19_final.stac-item
2023-10-19 09:46:29	ga_s2bm_ard_3-2-1_55HFB_2023-10-19_final.stac-item
2023-10-19 09:46:30	ga_s2bm_ard_3-2-1_55HCC_2023-10-19_final.stac-item
2023-10-19 09:46:41	ga_s2bm_ard_3-2-1_55HCB_2023-10-19_final.stac-item
2023-10-19 09:46:43	ga_s2bm_ard_3-2-1_55HFA_2023-10-19_final.stac-item
2023-10-19 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2023-10-19_final.stac-item
2023-10-19 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2023-10-19_final.stac-item
2023-10-19 09:46:48	ga_s2bm_ard_3-2-1_55HCA_2023-10-19_final.stac-item
2023-10-19 09:46:50	ga_s2bm_ard_3-2-1_55HFV_2023-10-19_final.stac-item
2023-10-19 09:46:50	ga_s2bm_ard_3-2-1_55HFA_2023-10-19_final.stac-item
2023-10-19 09:46:52	ga_s2bm_ard_3-2-1_55HEA_2023-10-19_final.stac-item
2023-10-19 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2023-10-19_final.stac-item
2023-10-19 09:46:55	ga_s2bm_ard_3-2-1_55HCA_2023-10-19_final.stac-item
2023-10-19 09:46:58	ga_s2bm_ard_3-2-1_55HFV_2023-10-19_final.stac-item
2023-10-19 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2023-10-19_final.stac-item
2023-10-19 09:47:06	ga_s2bm_ard_3-2-1_55HDV_2023-10-19_final.stac-item
2023-10-19 09:47:09	ga_s2bm_ard_3-2-1_55HCV_2023-10-19_final.stac-item
2023-10-19 09:47:11	ga_s2bm_ard_3-2-1_55HFU_2023-10-19_final.stac-item
2023-10-19 09:47:17	ga_s2bm_ard_3-2-1_55HEU_2023-10-19_final.stac-item
2023-10-19 09:47:20	ga_s2bm_ard_3-2-1_55HDU_2023-10-19_final.stac-item
2023-10-19 09:47:24	ga_s2bm_ard_3-2-1_55HCU_2023-10-19_final.stac-item
2023-10-19 09:47:31	ga_s2bm_ard_3-2-1_55HBU_2023-10-19_final.stac-item
2023-10-19 09:47:46	ga_s2bm_ard_3-2-1_55HES_2023-10-19_final.stac-item
2023-10-19 09:47:56	ga_s2bm_ard_3-2-1_55HBS_2023-10-19_final.stac-item
2023-10-19 09:47:57	ga_s2bm_ard_3-2-1_54HYB_2023-10-19_final.stac-item
2023-10-19 09:48:00	ga_s2bm_ard_3-2-1_55GER_2023-10-19_final.stac-item
2023-10-19 09:48:04	ga_s2bm_ard_3-2-1_55GDR_2023-10-19_final.stac-item
2023-10-19 09:48:08	ga_s2bm_ard_3-2-1_55GCR_2023-10-19_final.stac-item
2023-10-19 09:48:11	ga_s2bm_ard_3-2-1_55GBR_2023-10-19_final.stac-item
2023-10-19 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2023-10-19_final.stac-item
2023-10-19 09:48:13	ga_s2bm_ard_3-2-1_55GEQ_2023-10-19_final.stac-item
2023-10-19 09:48:18	ga_s2bm_ard_3-2-1_55GDQ_2023-10-19_final.stac-item
2023-10-19 09:48:22	ga_s2bm_ard_3-2-1_55GCQ_2023-10-19_final.stac-item
2023-10-19 09:48:25	ga_s2bm_ard_3-2-1_55GBQ_2023-10-19_final.stac-item
2023-10-19 09:48:26	ga_s2bm_ard_3-2-1_54GYV_2023-10-19_final.stac-item
2023-10-19 09:48:40	ga_s2bm_ard_3-2-1_54GYU_2023-10-19_nrt.stac-item
2023-10-19 09:48:40	ga_s2bm_ard_3-2-1_55GBP_2023-10-19_nrt.stac-item
2023-10-19 09:48:45	ga_s2bm_ard_3-2-1_54GXU_2023-10-19_nrt.stac-item
2023-10-19 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2023-10-19_final.stac-item
2023-10-19 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-10-19_final.stac-item
2023-10-19 11:24:53	ga_s2bm_ard_3-2-1_51JYL_2023-10-19_final.stac-item
2023-10-19 11:24:57	ga_s2bm_ard_3-2-1_51JXL_2023-10-19_final.stac-item
2023-10-19 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2023-10-19_final.stac-item
2023-10-19 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2023-10-19_final.stac-item
2023-10-19 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2023-10-19_final.stac-item
2023-10-19 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2023-10-19_final.stac-item
2023-10-19 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2023-10-19_final.stac-item
2023-10-19 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2023-10-19_final.stac-item
2023-10-19 11:25:26	ga_s2bm_ard_3-2-1_51JXJ_2023-10-19_final.stac-item
2023-10-19 11:25:30	ga_s2bm_ard_3-2-1_51JWJ_2023-10-19_final.stac-item
2023-10-19 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2023-10-19_final.stac-item
2023-10-19 11:25:36	ga_s2bm_ard_3-2-1_51JYH_2023-10-19_final.stac-item
2023-10-19 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2023-10-19_final.stac-item
2023-10-19 11:25:55	ga_s2bm_ard_3-2-1_51JXG_2023-10-19_final.stac-item
2023-10-19 11:25:59	ga_s2bm_ard_3-2-1_51JWG_2023-10-19_final.stac-item
2023-10-19 11:26:02	ga_s2bm_ard_3-2-1_51JVG_2023-10-19_final.stac-item
2023-10-19 11:26:07	ga_s2bm_ard_3-2-1_51JUG_2023-10-19_final.stac-item
2023-10-19 11:26:09	ga_s2bm_ard_3-2-1_51JXF_2023-10-19_final.stac-item
2023-10-19 11:26:20	ga_s2bm_ard_3-2-1_51JUF_2023-10-19_final.stac-item
2023-10-19 11:26:24	ga_s2bm_ard_3-2-1_51HXE_2023-10-19_final.stac-item
2023-10-19 11:26:28	ga_s2bm_ard_3-2-1_51HWE_2023-10-19_final.stac-item
2023-10-19 11:26:31	ga_s2bm_ard_3-2-1_51HVE_2023-10-19_final.stac-item
2023-10-19 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2023-10-19_final.stac-item
2023-10-19 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2023-10-19_final.stac-item
2023-10-19 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-10-19_final.stac-item
2023-10-19 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-10-19_final.stac-item
2023-10-19 11:27:09	ga_s2bm_ard_3-2-1_51HWB_2023-10-19_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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