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
2023-10-21 10:25:54	ga_s2bm_ard_3-2-1_53JPF_2023-10-21_final.stac-item
2023-10-21 10:26:03	ga_s2bm_ard_3-2-1_54HTK_2023-10-21_final.stac-item
2023-10-21 10:26:18	ga_s2bm_ard_3-2-1_54HTJ_2023-10-21_final.stac-item
2023-10-21 10:26:20	ga_s2bm_ard_3-2-1_53HQD_2023-10-21_final.stac-item
2023-10-21 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2023-10-21_final.stac-item
2023-10-21 10:26:47	ga_s2bm_ard_3-2-1_54HTG_2023-10-21_final.stac-item
2023-10-21 10:26:53	ga_s2bm_ard_3-2-1_54HUF_2023-10-21_final.stac-item
2023-10-21 10:27:01	ga_s2bm_ard_3-2-1_54HTF_2023-10-21_final.stac-item
2023-10-21 10:27:03	ga_s2bm_ard_3-2-1_53HQA_2023-10-21_final.stac-item
2023-10-21 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-10-21_final.stac-item
2023-10-21 12:00:39	ga_s2bm_ard_3-2-1_50LPP_2023-10-21_nrt.stac-item
2023-10-21 12:00:42	ga_s2bm_ard_3-2-1_50LNP_2023-10-21_nrt.stac-item
2023-10-21 12:00:46	ga_s2bm_ard_3-2-1_50LMP_2023-10-21_nrt.stac-item
2023-10-21 12:00:50	ga_s2bm_ard_3-2-1_50LQN_2023-10-21_nrt.stac-item
2023-10-21 12:00:53	ga_s2bm_ard_3-2-1_50LPN_2023-10-21_nrt.stac-item
2023-10-21 12:01:08	ga_s2bm_ard_3-2-1_50LPM_2023-10-21_nrt.stac-item
2023-10-21 12:01:34	ga_s2bm_ard_3-2-1_50LPK_2023-10-21_nrt.stac-item
2023-10-21 12:01:36	ga_s2bm_ard_3-2-1_50LNK_2023-10-21_nrt.stac-item
2023-10-21 12:01:38	ga_s2bm_ard_3-2-1_50LMK_2023-10-21_nrt.stac-item
2023-10-21 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-10-21_final.stac-item
2023-10-21 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2023-10-21_final.stac-item
2023-10-21 12:03:28	ga_s2bm_ard_3-2-1_50KLC_2023-10-21_final.stac-item
2023-10-21 12:03:46	ga_s2bm_ard_3-2-1_50KNA_2023-10-21_final.stac-item
2023-10-21 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-21_final.stac-item
2023-10-21 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2023-10-21_final.stac-item
2023-10-21 12:03:58	ga_s2bm_ard_3-2-1_50KLA_2023-10-21_final.stac-item
2023-10-21 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2023-10-21_final.stac-item
2023-10-21 12:04:27	ga_s2bm_ard_3-2-1_50KLU_2023-10-21_final.stac-item
2023-10-21 12:04:37	ga_s2bm_ard_3-2-1_50JMT_2023-10-21_final.stac-item
2023-10-21 12:04:57	ga_s2bm_ard_3-2-1_50JMS_2023-10-21_final.stac-item
2023-10-21 12:05:00	ga_s2bm_ard_3-2-1_50JLS_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 12:05:03	ga_s2bm_ard_3-2-1_49JGM_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 12:05:39	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
2023-10-22 09:49:38	ga_s2bm_ard_3-2-1_56LMP_2023-10-22_nrt.stac-item
2023-10-22 09:49:42	ga_s2bm_ard_3-2-1_56LLP_2023-10-22_nrt.stac-item
2023-10-22 09:49:45	ga_s2bm_ard_3-2-1_56LKP_2023-10-22_nrt.stac-item
2023-10-22 09:49:51	ga_s2bm_ard_3-2-1_56LMN_2023-10-22_nrt.stac-item
2023-10-22 09:49:51	ga_s2bm_ard_3-2-1_55LGJ_2023-10-22_nrt.stac-item
2023-10-22 09:49:56	ga_s2bm_ard_3-2-1_56LLN_2023-10-22_nrt.stac-item
2023-10-22 09:50:00	ga_s2bm_ard_3-2-1_55LHH_2023-10-22_nrt.stac-item
2023-10-22 09:50:01	ga_s2bm_ard_3-2-1_56LMM_2023-10-22_nrt.stac-item
2023-10-22 09:50:01	ga_s2bm_ard_3-2-1_55LGH_2023-10-22_nrt.stac-item
2023-10-22 09:50:04	ga_s2bm_ard_3-2-1_56LLM_2023-10-22_nrt.stac-item
2023-10-22 09:51:05	ga_s2bm_ard_3-2-1_56LLH_2023-10-22_nrt.stac-item
2023-10-22 09:51:14	ga_s2bm_ard_3-2-1_55LHC_2023-10-22_final.stac-item
2023-10-22 09:51:20	ga_s2bm_ard_3-2-1_55LFC_2023-10-22_final.stac-item
2023-10-22 09:51:32	ga_s2bm_ard_3-2-1_55KGB_2023-10-22_final.stac-item
2023-10-22 09:51:42	ga_s2bm_ard_3-2-1_55KHA_2023-10-22_nrt.stac-item
2023-10-22 09:51:57	ga_s2bm_ard_3-2-1_55KHV_2023-10-22_nrt.stac-item
2023-10-22 09:52:04	ga_s2bm_ard_3-2-1_55KFV_2023-10-22_nrt.stac-item
2023-10-22 09:52:22	ga_s2bm_ard_3-2-1_55KEU_2023-10-22_final.stac-item
2023-10-22 09:52:33	ga_s2bm_ard_3-2-1_55KFT_2023-10-22_final.stac-item
2023-10-22 09:52:36	ga_s2bm_ard_3-2-1_55KET_2023-10-22_final.stac-item
2023-10-22 09:52:44	ga_s2bm_ard_3-2-1_55KGS_2023-10-22_final.stac-item
2023-10-22 09:52:51	ga_s2bm_ard_3-2-1_55KES_2023-10-22_final.stac-item
2023-10-22 09:52:58	ga_s2bm_ard_3-2-1_55KGR_2023-10-22_final.stac-item
2023-10-22 09:53:02	ga_s2bm_ard_3-2-1_55KFR_2023-10-22_final.stac-item
2023-10-22 09:53:05	ga_s2bm_ard_3-2-1_55KER_2023-10-22_final.stac-item
2023-10-22 09:53:09	ga_s2bm_ard_3-2-1_55KDR_2023-10-22_final.stac-item
2023-10-22 09:53:18	ga_s2bm_ard_3-2-1_55KEQ_2023-10-22_final.stac-item
2023-10-22 09:53:22	ga_s2bm_ard_3-2-1_55KGQ_2023-10-22_final.stac-item
2023-10-22 09:53:23	ga_s2bm_ard_3-2-1_55KFQ_2023-10-22_final.stac-item
2023-10-22 09:53:27	ga_s2bm_ard_3-2-1_55KGP_2023-10-22_final.stac-item
2023-10-22 09:53:31	ga_s2bm_ard_3-2-1_55KFP_2023-10-22_final.stac-item
2023-10-22 09:53:49	ga_s2bm_ard_3-2-1_55JEN_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 09:54:00	ga_s2bm_ard_3-2-1_55JFM_2023-10-22_final.stac-item
2023-10-22 09:54:04	ga_s2bm_ard_3-2-1_55JEM_2023-10-22_final.stac-item
2023-10-22 09:54:11	ga_s2bm_ard_3-2-1_55JCM_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 09:54:24	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 09:54:54	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 09:55:55	ga_s2bm_ard_3-2-1_55HBE_2023-10-22_final.stac-item
2023-10-22 09:55:56	ga_s2bm_ard_3-2-1_55HED_2023-10-22_final.stac-item
2023-10-22 09:55:58	ga_s2bm_ard_3-2-1_54HYK_2023-10-22_final.stac-item
2023-10-22 09:56:03	ga_s2bm_ard_3-2-1_55HDD_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 09:56:39	ga_s2bm_ard_3-2-1_55HBB_2023-10-22_final.stac-item
2023-10-22 09:56:41	ga_s2bm_ard_3-2-1_54HYG_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 09:58:30	ga_s2bm_ard_3-2-1_54GYU_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

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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