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
2022-12-05 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-12-05_final.stac-item
2022-12-05 12:04:07	ga_s2bm_ard_3-2-1_50KLV_2022-12-05_final.stac-item
2022-12-05 12:04:10	ga_s2bm_ard_3-2-1_50KKV_2022-12-05_final.stac-item
2022-12-05 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-12-05_final.stac-item
2022-12-05 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-12-05_final.stac-item
2022-12-05 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2022-12-05_final.stac-item
2022-12-05 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-12-05_final.stac-item
2022-12-05 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2022-12-05_final.stac-item
2022-12-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2022-12-05_final.stac-item
2022-12-05 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2022-12-05_final.stac-item
2022-12-05 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2022-12-05_final.stac-item
2022-12-05 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2022-12-05_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2022-12-06 09:51:23	ga_s2bm_ard_3-2-1_55KHB_2022-12-06_final.stac-item
2022-12-06 09:52:03	ga_s2bm_ard_3-2-1_55KEV_2022-12-06_final.stac-item
2022-12-06 09:52:10	ga_s2bm_ard_3-2-1_55KGU_2022-12-06_final.stac-item
2022-12-06 09:52:25	ga_s2bm_ard_3-2-1_55KGT_2022-12-06_final.stac-item
2022-12-06 09:52:28	ga_s2bm_ard_3-2-1_55KFT_2022-12-06_final.stac-item
2022-12-06 09:52:32	ga_s2bm_ard_3-2-1_55KET_2022-12-06_final.stac-item
2022-12-06 09:52:32	ga_s2bm_ard_3-2-1_55KHS_2022-12-06_final.stac-item
2022-12-06 09:52:39	ga_s2bm_ard_3-2-1_55KGS_2022-12-06_final.stac-item
2022-12-06 09:52:43	ga_s2bm_ard_3-2-1_55KFS_2022-12-06_final.stac-item
2022-12-06 09:52:53	ga_s2bm_ard_3-2-1_55KGR_2022-12-06_final.stac-item
2022-12-06 09:52:57	ga_s2bm_ard_3-2-1_55KFR_2022-12-06_final.stac-item
2022-12-06 09:53:12	ga_s2bm_ard_3-2-1_55KFQ_2022-12-06_final.stac-item
2022-12-06 09:53:22	ga_s2bm_ard_3-2-1_55KGP_2022-12-06_final.stac-item
2022-12-06 09:53:35	ga_s2bm_ard_3-2-1_55JGN_2022-12-06_final.stac-item
2022-12-06 09:53:48	ga_s2bm_ard_3-2-1_55JDN_2022-12-06_final.stac-item
2022-12-06 09:53:55	ga_s2bm_ard_3-2-1_55JFM_2022-12-06_final.stac-item
2022-12-06 09:53:59	ga_s2bm_ard_3-2-1_55JEM_2022-12-06_final.stac-item
2022-12-06 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2022-12-06_final.stac-item
2022-12-06 09:54:06	ga_s2bm_ard_3-2-1_55JCM_2022-12-06_final.stac-item
2022-12-06 09:54:42	ga_s2bm_ard_3-2-1_55JEJ_2022-12-06_final.stac-item
2022-12-06 09:54:46	ga_s2bm_ard_3-2-1_55JDJ_2022-12-06_final.stac-item
2022-12-06 09:55:26	ga_s2bm_ard_3-2-1_55JEF_2022-12-06_final.stac-item
2022-12-06 09:55:30	ga_s2bm_ard_3-2-1_55JDF_2022-12-06_final.stac-item
2022-12-06 09:55:51	ga_s2bm_ard_3-2-1_55HED_2022-12-06_final.stac-item
2022-12-06 09:56:05	ga_s2bm_ard_3-2-1_55HBD_2022-12-06_final.stac-item
2022-12-06 09:56:13	ga_s2bm_ard_3-2-1_55HDC_2022-12-06_final.stac-item
2022-12-06 09:56:20	ga_s2bm_ard_3-2-1_55HBC_2022-12-06_final.stac-item
2022-12-06 09:56:22	ga_s2bm_ard_3-2-1_54HYH_2022-12-06_final.stac-item
2022-12-06 09:56:28	ga_s2bm_ard_3-2-1_55HDB_2022-12-06_final.stac-item
2022-12-06 09:56:34	ga_s2bm_ard_3-2-1_55HBB_2022-12-06_final.stac-item
2022-12-06 09:56:36	ga_s2bm_ard_3-2-1_54HYG_2022-12-06_final.stac-item
2022-12-06 09:56:42	ga_s2bm_ard_3-2-1_55HDA_2022-12-06_final.stac-item
2022-12-06 09:56:43	ga_s2bm_ard_3-2-1_54HXG_2022-12-06_final.stac-item
2022-12-06 09:56:55	ga_s2bm_ard_3-2-1_55HDV_2022-12-06_final.stac-item
2022-12-06 09:57:00	ga_s2bm_ard_3-2-1_55HCV_2022-12-06_final.stac-item
2022-12-06 09:57:03	ga_s2bm_ard_3-2-1_55HBV_2022-12-06_final.stac-item
2022-12-06 09:57:05	ga_s2bm_ard_3-2-1_54HYE_2022-12-06_final.stac-item
2022-12-06 09:57:08	ga_s2bm_ard_3-2-1_54HXE_2022-12-06_final.stac-item
2022-12-06 09:57:44	ga_s2bm_ard_3-2-1_55HCS_2022-12-06_final.stac-item
2022-12-06 09:57:47	ga_s2bm_ard_3-2-1_55HBS_2022-12-06_final.stac-item
2022-12-06 09:57:48	ga_s2bm_ard_3-2-1_54HYB_2022-12-06_final.stac-item
2022-12-06 09:57:58	ga_s2bm_ard_3-2-1_55GCR_2022-12-06_final.stac-item
2022-12-06 09:58:02	ga_s2bm_ard_3-2-1_55GBR_2022-12-06_final.stac-item
2022-12-06 09:58:11	ga_s2bm_ard_3-2-1_55GCQ_2022-12-06_final.stac-item
2022-12-06 09:58:16	ga_s2bm_ard_3-2-1_55GBQ_2022-12-06_final.stac-item
2022-12-06 09:58:16	ga_s2bm_ard_3-2-1_54GYV_2022-12-06_final.stac-item
2022-12-06 09:58:21	ga_s2bm_ard_3-2-1_55GCP_2022-12-06_final.stac-item
2022-12-06 11:31:26	ga_s2bm_ard_3-2-1_52LBJ_2022-12-06_final.stac-item
2022-12-06 11:31:28	ga_s2bm_ard_3-2-1_51LWE_2022-12-06_final.stac-item
2022-12-06 11:31:32	ga_s2bm_ard_3-2-1_51LZD_2022-12-06_final.stac-item
2022-12-06 11:31:36	ga_s2bm_ard_3-2-1_51LYD_2022-12-06_final.stac-item
2022-12-06 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2022-12-06_final.stac-item
2022-12-06 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2022-12-06_final.stac-item
2022-12-06 11:31:56	ga_s2bm_ard_3-2-1_51KZB_2022-12-06_final.stac-item
2022-12-06 11:32:19	ga_s2bm_ard_3-2-1_51KYA_2022-12-06_final.stac-item
2022-12-06 11:32:31	ga_s2bm_ard_3-2-1_51KYV_2022-12-06_final.stac-item
2022-12-06 11:32:32	ga_s2bm_ard_3-2-1_51KXV_2022-12-06_final.stac-item
2022-12-06 11:32:35	ga_s2bm_ard_3-2-1_51KVV_2022-12-06_final.stac-item
2022-12-06 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2022-12-06_final.stac-item
2022-12-06 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2022-12-06_final.stac-item
2022-12-06 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2022-12-06_final.stac-item
2022-12-06 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2022-12-06_final.stac-item
2022-12-06 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2022-12-06_final.stac-item
2022-12-06 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2022-12-06_final.stac-item
2022-12-06 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2022-12-06_final.stac-item
2022-12-06 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2022-12-06_final.stac-item
2022-12-06 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-12-06_final.stac-item
2022-12-06 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2022-12-06_final.stac-item
2022-12-06 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-12-06_final.stac-item
2022-12-06 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2022-12-06_final.stac-item
2022-12-06 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2022-12-06_final.stac-item
2022-12-06 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2022-12-06_final.stac-item
2022-12-06 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2022-12-06_final.stac-item
2022-12-06 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2022-12-06_final.stac-item
2022-12-06 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2022-12-06_final.stac-item
2022-12-06 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2022-12-06_final.stac-item
2022-12-06 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2022-12-06_final.stac-item
2022-12-06 11:34:43	ga_s2bm_ard_3-2-1_51JUM_2022-12-06_final.stac-item
2022-12-06 11:34:46	ga_s2bm_ard_3-2-1_50JRS_2022-12-06_final.stac-item
2022-12-06 11:34:46	ga_s2bm_ard_3-2-1_51JTM_2022-12-06_final.stac-item
2022-12-06 11:35:23	ga_s2bm_ard_3-2-1_51JVJ_2022-12-06_final.stac-item
2022-12-06 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2022-12-06_final.stac-item
2022-12-06 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2022-12-06_final.stac-item
2022-12-06 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2022-12-06_final.stac-item
2022-12-06 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2022-12-06_final.stac-item
2022-12-06 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2022-12-06_final.stac-item
2022-12-06 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2022-12-06_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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