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
2023-08-22 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-08-22_final.stac-item
2023-08-22 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-08-22_final.stac-item
2023-08-22 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-08-22_final.stac-item
2023-08-22 12:05:24	ga_s2bm_ard_3-2-1_50JKR_2023-08-22_final.stac-item
2023-08-22 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2023-08-22_final.stac-item
2023-08-22 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-08-22_final.stac-item
2023-08-22 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-08-22_final.stac-item
2023-08-22 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-08-22_final.stac-item
2023-08-22 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-08-22_final.stac-item
2023-08-22 12:05:52	ga_s2bm_ard_3-2-1_49JFJ_2023-08-22_nrt.stac-item
2023-08-22 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-08-22_final.stac-item
2023-08-22 12:06:19	ga_s2bm_ard_3-2-1_50JLL_2023-08-22_final.stac-item
2023-08-23 09:51:04	ga_s2bm_ard_3-2-1_56LLJ_2023-08-23_nrt.stac-item
2023-08-23 09:51:06	ga_s2bm_ard_3-2-1_56LKJ_2023-08-23_nrt.stac-item
2023-08-23 09:51:06	ga_s2bm_ard_3-2-1_55LHD_2023-08-23_nrt.stac-item
2023-08-23 09:51:08	ga_s2bm_ard_3-2-1_55LGD_2023-08-23_nrt.stac-item
2023-08-23 09:51:10	ga_s2bm_ard_3-2-1_55LFD_2023-08-23_nrt.stac-item
2023-08-23 09:51:38	ga_s2bm_ard_3-2-1_55KFB_2023-08-23_final.stac-item
2023-08-23 09:51:57	ga_s2bm_ard_3-2-1_55KEA_2023-08-23_nrt.stac-item
2023-08-23 09:52:24	ga_s2bm_ard_3-2-1_56KKC_2023-08-23_nrt.stac-item
2023-08-23 09:52:32	ga_s2bm_ard_3-2-1_55KGT_2023-08-23_final.stac-item
2023-08-23 09:52:37	ga_s2bm_ard_3-2-1_55KHS_2023-08-23_final.stac-item
2023-08-23 09:53:30	ga_s2bm_ard_3-2-1_55KGP_2023-08-23_final.stac-item
2023-08-23 09:54:06	ga_s2bm_ard_3-2-1_55JEM_2023-08-23_final.stac-item
2023-08-23 09:54:10	ga_s2bm_ard_3-2-1_55JDM_2023-08-23_final.stac-item
2023-08-23 09:54:21	ga_s2bm_ard_3-2-1_55JEL_2023-08-23_final.stac-item
2023-08-23 09:54:24	ga_s2bm_ard_3-2-1_55JDL_2023-08-23_final.stac-item
2023-08-23 09:54:27	ga_s2bm_ard_3-2-1_55JCL_2023-08-23_final.stac-item
2023-08-23 09:54:45	ga_s2bm_ard_3-2-1_55JFJ_2023-08-23_final.stac-item
2023-08-23 09:54:50	ga_s2bm_ard_3-2-1_55JEJ_2023-08-23_final.stac-item
2023-08-23 09:54:55	ga_s2bm_ard_3-2-1_55JFH_2023-08-23_final.stac-item
2023-08-23 09:54:57	ga_s2bm_ard_3-2-1_55JCJ_2023-08-23_final.stac-item
2023-08-23 09:55:04	ga_s2bm_ard_3-2-1_55JEH_2023-08-23_final.stac-item
2023-08-23 09:55:08	ga_s2bm_ard_3-2-1_55JDH_2023-08-23_final.stac-item
2023-08-23 09:55:19	ga_s2bm_ard_3-2-1_55JEG_2023-08-23_final.stac-item
2023-08-23 09:55:40	ga_s2bm_ard_3-2-1_55JCF_2023-08-23_final.stac-item
2023-08-23 09:55:47	ga_s2bm_ard_3-2-1_55HEE_2023-08-23_final.stac-item
2023-08-23 09:55:51	ga_s2bm_ard_3-2-1_55HDE_2023-08-23_final.stac-item
2023-08-23 09:55:58	ga_s2bm_ard_3-2-1_55HBE_2023-08-23_final.stac-item
2023-08-23 09:56:01	ga_s2bm_ard_3-2-1_54HYK_2023-08-23_final.stac-item
2023-08-23 09:56:35	ga_s2bm_ard_3-2-1_55HDB_2023-08-23_final.stac-item
2023-08-23 09:56:38	ga_s2bm_ard_3-2-1_55HCB_2023-08-23_final.stac-item
2023-08-23 09:56:42	ga_s2bm_ard_3-2-1_55HBB_2023-08-23_final.stac-item
2023-08-23 09:56:50	ga_s2bm_ard_3-2-1_54HXG_2023-08-23_final.stac-item
2023-08-23 09:56:53	ga_s2bm_ard_3-2-1_55HCA_2023-08-23_final.stac-item
2023-08-23 09:56:56	ga_s2bm_ard_3-2-1_55HBA_2023-08-23_final.stac-item
2023-08-23 09:56:58	ga_s2bm_ard_3-2-1_54HYF_2023-08-23_final.stac-item
2023-08-23 09:57:02	ga_s2bm_ard_3-2-1_54HXF_2023-08-23_final.stac-item
2023-08-23 09:57:55	ga_s2bm_ard_3-2-1_55HBS_2023-08-23_final.stac-item
2023-08-23 09:57:55	ga_s2bm_ard_3-2-1_54HYB_2023-08-23_final.stac-item
2023-08-23 09:58:03	ga_s2bm_ard_3-2-1_54HWB_2023-08-23_nrt.stac-item
2023-08-23 09:58:05	ga_s2bm_ard_3-2-1_55GCR_2023-08-23_final.stac-item
2023-08-23 09:58:09	ga_s2bm_ard_3-2-1_55GBR_2023-08-23_final.stac-item
2023-08-23 09:58:10	ga_s2bm_ard_3-2-1_54GYA_2023-08-23_final.stac-item
2023-08-23 09:58:14	ga_s2bm_ard_3-2-1_54GXA_2023-08-23_nrt.stac-item
2023-08-23 09:58:18	ga_s2bm_ard_3-2-1_54GWA_2023-08-23_nrt.stac-item
2023-08-23 09:58:18	ga_s2bm_ard_3-2-1_55GCQ_2023-08-23_final.stac-item
2023-08-23 09:58:24	ga_s2bm_ard_3-2-1_55GBQ_2023-08-23_final.stac-item
2023-08-23 09:58:24	ga_s2bm_ard_3-2-1_54GYV_2023-08-23_final.stac-item
2023-08-23 09:58:28	ga_s2bm_ard_3-2-1_55GCP_2023-08-23_final.stac-item
2023-08-23 09:58:28	ga_s2bm_ard_3-2-1_54GXV_2023-08-23_nrt.stac-item
2023-08-23 09:58:30	ga_s2bm_ard_3-2-1_54GWV_2023-08-23_nrt.stac-item
2023-08-23 09:58:33	ga_s2bm_ard_3-2-1_54GYU_2023-08-23_nrt.stac-item
2023-08-23 09:58:33	ga_s2bm_ard_3-2-1_55GBP_2023-08-23_nrt.stac-item
2023-08-23 09:58:35	ga_s2bm_ard_3-2-1_54GXU_2023-08-23_nrt.stac-item
2023-08-23 09:58:36	ga_s2bm_ard_3-2-1_54GVV_2023-08-23_nrt.stac-item
2023-08-23 11:31:47	ga_s2bm_ard_3-2-1_51LXD_2023-08-23_final.stac-item
2023-08-23 11:32:16	ga_s2bm_ard_3-2-1_51KXB_2023-08-23_final.stac-item
2023-08-23 11:32:37	ga_s2bm_ard_3-2-1_51KVA_2023-08-23_final.stac-item
2023-08-23 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2023-08-23_final.stac-item
2023-08-23 11:34:20	ga_s2bm_ard_3-2-1_51JXN_2023-08-23_final.stac-item
2023-08-23 11:34:54	ga_s2bm_ard_3-2-1_51JTM_2023-08-23_final.stac-item
2023-08-23 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-08-23_final.stac-item
2023-08-23 11:35:08	ga_s2bm_ard_3-2-1_51JTL_2023-08-23_final.stac-item
2023-08-23 11:35:23	ga_s2bm_ard_3-2-1_51JTK_2023-08-23_final.stac-item
2023-08-23 11:35:23	ga_s2bm_ard_3-2-1_51JWJ_2023-08-23_final.stac-item
2023-08-23 11:35:35	ga_s2bm_ard_3-2-1_51JUJ_2023-08-23_final.stac-item
2023-08-23 11:35:38	ga_s2bm_ard_3-2-1_51JTJ_2023-08-23_final.stac-item
2023-08-23 11:35:41	ga_s2bm_ard_3-2-1_50JQP_2023-08-23_final.stac-item
2023-08-23 11:35:45	ga_s2bm_ard_3-2-1_51JVH_2023-08-23_final.stac-item
2023-08-23 11:35:52	ga_s2bm_ard_3-2-1_51JTH_2023-08-23_final.stac-item
2023-08-23 11:35:55	ga_s2bm_ard_3-2-1_50JQN_2023-08-23_final.stac-item
2023-08-23 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-08-23_final.stac-item
2023-08-23 11:36:18	ga_s2bm_ard_3-2-1_51JUF_2023-08-23_final.stac-item
2023-08-23 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2023-08-23_final.stac-item
2023-08-23 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-08-23_final.stac-item
2023-08-23 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2023-08-23_final.stac-item
2023-08-23 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2023-08-23_final.stac-item
2023-08-23 11:36:33	ga_s2bm_ard_3-2-1_50JPL_2023-08-23_final.stac-item
2023-08-23 11:36:35	ga_s2bm_ard_3-2-1_51HUE_2023-08-23_final.stac-item
2023-08-23 11:36:37	ga_s2bm_ard_3-2-1_51HTE_2023-08-23_final.stac-item
2023-08-23 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-08-23_final.stac-item
2023-08-23 11:37:17	ga_s2bm_ard_3-2-1_51HUB_2023-08-23_final.stac-item
2023-08-23 11:37:20	ga_s2bm_ard_3-2-1_51HTB_2023-08-23_final.stac-item
2023-08-23 11:37:22	ga_s2bm_ard_3-2-1_50HQG_2023-08-23_final.stac-item
2023-08-23 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-08-23_final.stac-item
2023-08-23 11:37:30	ga_s2bm_ard_3-2-1_51HUA_2023-08-23_nrt.stac-item
2023-08-23 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-23_final.stac-item
2023-08-23 11:37:33	ga_s2bm_ard_3-2-1_50HQF_2023-08-23_nrt.stac-item
2023-08-23 11:37:34	ga_s2bm_ard_3-2-1_50HPF_2023-08-23_nrt.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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