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
2023-10-21 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-21_final.stac-item
2023-10-21 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2023-10-21_final.stac-item
2023-10-21 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2023-10-21_final.stac-item
2023-10-21 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2023-10-21_final.stac-item
2023-10-21 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-10-21_final.stac-item
2023-10-21 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2023-10-21_final.stac-item
2023-10-21 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-21_final.stac-item
2023-10-21 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-21_final.stac-item
2023-10-21 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-21_final.stac-item
2023-10-21 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2023-10-21_final.stac-item
2023-10-22 09:51:01	ga_s2bm_ard_3-2-1_56LLJ_2023-10-22_nrt.stac-item
2023-10-22 09:51:03	ga_s2bm_ard_3-2-1_56LKJ_2023-10-22_nrt.stac-item
2023-10-22 09:51:04	ga_s2bm_ard_3-2-1_55LHD_2023-10-22_nrt.stac-item
2023-10-22 09:51:05	ga_s2bm_ard_3-2-1_55LGD_2023-10-22_nrt.stac-item
2023-10-22 09:51:07	ga_s2bm_ard_3-2-1_55LFD_2023-10-22_nrt.stac-item
2023-10-22 09:52:29	ga_s2bm_ard_3-2-1_55KGT_2023-10-22_final.stac-item
2023-10-22 09:53:45	ga_s2bm_ard_3-2-1_55JFN_2023-10-22_final.stac-item
2023-10-22 09:53:49	ga_s2bm_ard_3-2-1_55JGM_2023-10-22_final.stac-item
2023-10-22 09:53:52	ga_s2bm_ard_3-2-1_55JDN_2023-10-22_final.stac-item
2023-10-22 09:53:59	ga_s2bm_ard_3-2-1_55JCN_2023-10-22_final.stac-item
2023-10-22 09:54:14	ga_s2bm_ard_3-2-1_55JFL_2023-10-22_final.stac-item
2023-10-22 09:54:18	ga_s2bm_ard_3-2-1_55JEL_2023-10-22_final.stac-item
2023-10-22 09:54:21	ga_s2bm_ard_3-2-1_55JDL_2023-10-22_final.stac-item
2023-10-22 09:54:24	ga_s2bm_ard_3-2-1_55JCL_2023-10-22_final.stac-item
2023-10-22 09:54:42	ga_s2bm_ard_3-2-1_55JFJ_2023-10-22_final.stac-item
2023-10-22 09:54:47	ga_s2bm_ard_3-2-1_55JEJ_2023-10-22_final.stac-item
2023-10-22 09:54:50	ga_s2bm_ard_3-2-1_55JDJ_2023-10-22_final.stac-item
2023-10-22 09:54:54	ga_s2bm_ard_3-2-1_55JCJ_2023-10-22_final.stac-item
2023-10-22 09:55:13	ga_s2bm_ard_3-2-1_55JBH_2023-10-22_final.stac-item
2023-10-22 09:55:16	ga_s2bm_ard_3-2-1_55JEG_2023-10-22_final.stac-item
2023-10-22 09:55:20	ga_s2bm_ard_3-2-1_55JDG_2023-10-22_final.stac-item
2023-10-22 09:55:31	ga_s2bm_ard_3-2-1_55JEF_2023-10-22_final.stac-item
2023-10-22 09:55:34	ga_s2bm_ard_3-2-1_55JDF_2023-10-22_final.stac-item
2023-10-22 09:55:38	ga_s2bm_ard_3-2-1_55JCF_2023-10-22_final.stac-item
2023-10-22 09:55:44	ga_s2bm_ard_3-2-1_55HEE_2023-10-22_final.stac-item
2023-10-22 09:55:49	ga_s2bm_ard_3-2-1_55HDE_2023-10-22_final.stac-item
2023-10-22 09:56:10	ga_s2bm_ard_3-2-1_55HBD_2023-10-22_final.stac-item
2023-10-22 09:56:12	ga_s2bm_ard_3-2-1_54HYJ_2023-10-22_final.stac-item
2023-10-22 09:56:17	ga_s2bm_ard_3-2-1_55HDC_2023-10-22_final.stac-item
2023-10-22 09:56:24	ga_s2bm_ard_3-2-1_55HBC_2023-10-22_final.stac-item
2023-10-22 09:56:26	ga_s2bm_ard_3-2-1_54HYH_2023-10-22_final.stac-item
2023-10-22 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2023-10-22_final.stac-item
2023-10-22 09:56:47	ga_s2bm_ard_3-2-1_54HXG_2023-10-22_final.stac-item
2023-10-22 09:56:50	ga_s2bm_ard_3-2-1_55HCA_2023-10-22_final.stac-item
2023-10-22 09:56:54	ga_s2bm_ard_3-2-1_55HBA_2023-10-22_final.stac-item
2023-10-22 09:56:55	ga_s2bm_ard_3-2-1_54HYF_2023-10-22_final.stac-item
2023-10-22 09:56:59	ga_s2bm_ard_3-2-1_54HXF_2023-10-22_final.stac-item
2023-10-22 09:57:00	ga_s2bm_ard_3-2-1_55HDV_2023-10-22_final.stac-item
2023-10-22 09:57:05	ga_s2bm_ard_3-2-1_55HCV_2023-10-22_final.stac-item
2023-10-22 09:57:08	ga_s2bm_ard_3-2-1_55HBV_2023-10-22_final.stac-item
2023-10-22 09:57:09	ga_s2bm_ard_3-2-1_54HYE_2023-10-22_final.stac-item
2023-10-22 09:57:13	ga_s2bm_ard_3-2-1_54HXE_2023-10-22_final.stac-item
2023-10-22 09:58:03	ga_s2bm_ard_3-2-1_55GCR_2023-10-22_final.stac-item
2023-10-22 09:58:06	ga_s2bm_ard_3-2-1_55GBR_2023-10-22_final.stac-item
2023-10-22 09:58:07	ga_s2bm_ard_3-2-1_54GYA_2023-10-22_final.stac-item
2023-10-22 09:58:11	ga_s2bm_ard_3-2-1_54GXA_2023-10-22_nrt.stac-item
2023-10-22 09:58:15	ga_s2bm_ard_3-2-1_54GWA_2023-10-22_nrt.stac-item
2023-10-22 09:58:15	ga_s2bm_ard_3-2-1_55GCQ_2023-10-22_final.stac-item
2023-10-22 09:58:21	ga_s2bm_ard_3-2-1_55GBQ_2023-10-22_final.stac-item
2023-10-22 09:58:21	ga_s2bm_ard_3-2-1_54GYV_2023-10-22_final.stac-item
2023-10-22 09:58:25	ga_s2bm_ard_3-2-1_54GXV_2023-10-22_nrt.stac-item
2023-10-22 09:58:25	ga_s2bm_ard_3-2-1_55GCP_2023-10-22_final.stac-item
2023-10-22 09:58:28	ga_s2bm_ard_3-2-1_54GWV_2023-10-22_nrt.stac-item
2023-10-22 09:58:31	ga_s2bm_ard_3-2-1_55GBP_2023-10-22_nrt.stac-item
2023-10-22 09:58:33	ga_s2bm_ard_3-2-1_54GXU_2023-10-22_nrt.stac-item
2023-10-22 09:58:33	ga_s2bm_ard_3-2-1_54GVV_2023-10-22_nrt.stac-item
2023-10-22 11:31:06	ga_s2bm_ard_3-2-1_52LBL_2023-10-22_nrt.stac-item
2023-10-22 11:31:08	ga_s2bm_ard_3-2-1_51LZF_2023-10-22_nrt.stac-item
2023-10-22 11:31:19	ga_s2bm_ard_3-2-1_51LWF_2023-10-22_nrt.stac-item
2023-10-22 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2023-10-22_final.stac-item
2023-10-22 11:31:44	ga_s2bm_ard_3-2-1_51LXD_2023-10-22_final.stac-item
2023-10-22 11:32:31	ga_s2bm_ard_3-2-1_51KWA_2023-10-22_final.stac-item
2023-10-22 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2023-10-22_final.stac-item
2023-10-22 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2023-10-22_final.stac-item
2023-10-22 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2023-10-22_final.stac-item
2023-10-22 11:34:34	ga_s2bm_ard_3-2-1_51JUN_2023-10-22_final.stac-item
2023-10-22 11:34:38	ga_s2bm_ard_3-2-1_51JTN_2023-10-22_final.stac-item
2023-10-22 11:34:51	ga_s2bm_ard_3-2-1_50JRS_2023-10-22_final.stac-item
2023-10-22 11:34:56	ga_s2bm_ard_3-2-1_51JWL_2023-10-22_final.stac-item
2023-10-22 11:34:59	ga_s2bm_ard_3-2-1_51JVL_2023-10-22_final.stac-item
2023-10-22 11:35:03	ga_s2bm_ard_3-2-1_51JUL_2023-10-22_final.stac-item
2023-10-22 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2023-10-22_final.stac-item
2023-10-22 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2023-10-22_final.stac-item
2023-10-22 11:35:21	ga_s2bm_ard_3-2-1_51JWJ_2023-10-22_final.stac-item
2023-10-22 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-10-22_final.stac-item
2023-10-22 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2023-10-22_final.stac-item
2023-10-22 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-10-22_final.stac-item
2023-10-22 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2023-10-22_final.stac-item
2023-10-22 11:35:58	ga_s2bm_ard_3-2-1_51JVG_2023-10-22_final.stac-item
2023-10-22 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2023-10-22_final.stac-item
2023-10-22 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2023-10-22_final.stac-item
2023-10-22 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2023-10-22_final.stac-item
2023-10-22 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-22_final.stac-item
2023-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2023-10-22_final.stac-item
2023-10-22 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2023-10-22_final.stac-item
2023-10-22 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-22_final.stac-item
2023-10-22 11:37:27	ga_s2bm_ard_3-2-1_51HUA_2023-10-22_nrt.stac-item
2023-10-22 11:37:29	ga_s2bm_ard_3-2-1_51HTA_2023-10-22_nrt.stac-item
2023-10-22 11:37:30	ga_s2bm_ard_3-2-1_50HQF_2023-10-22_nrt.stac-item
2023-10-22 11:37:32	ga_s2bm_ard_3-2-1_50HPF_2023-10-22_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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