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
2023-01-25 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-01-25_final.stac-item
2023-01-25 11:35:57	ga_s2bm_ard_3-2-1_51JUG_2023-01-25_final.stac-item
2023-01-25 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2023-01-25_final.stac-item
2023-01-25 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2023-01-25_final.stac-item
2023-01-25 11:36:21	ga_s2bm_ard_3-2-1_51HVE_2023-01-25_final.stac-item
2023-01-25 11:36:26	ga_s2bm_ard_3-2-1_51HUE_2023-01-25_final.stac-item
2023-01-25 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-01-25_final.stac-item
2023-01-25 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-25_final.stac-item
2023-01-25 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-25_final.stac-item
2023-01-26 09:22:36	ga_s2bm_ard_3-2-1_56KQB_2023-01-25_interim.stac-item
2023-01-26 09:22:38	ga_s2bm_ard_3-2-1_56KPB_2023-01-25_final.stac-item
2023-01-26 09:23:20	ga_s2bm_ard_3-2-1_56KPU_2023-01-25_nrt.stac-item
2023-01-26 09:23:24	ga_s2bm_ard_3-2-1_56KNU_2023-01-25_nrt.stac-item
2023-01-26 09:23:34	ga_s2bm_ard_3-2-1_56JPT_2023-01-25_nrt.stac-item
2023-01-26 09:23:38	ga_s2bm_ard_3-2-1_56JNT_2023-01-25_final.stac-item
2023-01-26 09:23:49	ga_s2bm_ard_3-2-1_56JPS_2023-01-25_nrt.stac-item
2023-01-26 09:24:18	ga_s2bm_ard_3-2-1_56JPQ_2023-01-25_nrt.stac-item
2023-01-26 09:24:47	ga_s2bm_ard_3-2-1_56JPN_2023-01-25_nrt.stac-item
2023-01-26 09:25:01	ga_s2bm_ard_3-2-1_56JPM_2023-01-25_nrt.stac-item
2023-01-26 09:25:30	ga_s2bm_ard_3-2-1_56HPK_2023-01-25_nrt.stac-item
2023-01-26 09:25:41	ga_s2bm_ard_3-2-1_56HLK_2023-01-25_final.stac-item
2023-01-26 09:25:52	ga_s2bm_ard_3-2-1_56HMJ_2023-01-25_final.stac-item
2023-01-26 09:25:55	ga_s2bm_ard_3-2-1_56HLJ_2023-01-25_final.stac-item
2023-01-26 09:25:58	ga_s2bm_ard_3-2-1_56HPH_2023-01-25_nrt.stac-item
2023-01-26 09:26:10	ga_s2bm_ard_3-2-1_56HLH_2023-01-25_final.stac-item
2023-01-26 09:27:13	ga_s2bm_ard_3-2-1_56HNC_2023-01-25_nrt.stac-item
2023-01-26 09:27:19	ga_s2bm_ard_3-2-1_56HMC_2023-01-25_nrt.stac-item
2023-01-26 09:27:23	ga_s2bm_ard_3-2-1_56HLC_2023-01-25_nrt.stac-item
2023-01-26 09:27:26	ga_s2bm_ard_3-2-1_56HKC_2023-01-25_nrt.stac-item
2023-01-26 09:27:27	ga_s2bm_ard_3-2-1_55HGT_2023-01-25_nrt.stac-item
2023-01-26 09:28:03	ga_s2bm_ard_3-2-1_56GMV_2023-01-25_nrt.stac-item
2023-01-26 09:28:06	ga_s2bm_ard_3-2-1_56GLV_2023-01-25_nrt.stac-item
2023-01-26 09:28:10	ga_s2bm_ard_3-2-1_56GKV_2023-01-25_nrt.stac-item
2023-01-26 09:28:10	ga_s2bm_ard_3-2-1_55GGQ_2023-01-25_nrt.stac-item
2023-01-26 09:28:14	ga_s2bm_ard_3-2-1_55GFQ_2023-01-25_final.stac-item
2023-01-26 09:28:26	ga_s2bm_ard_3-2-1_56GMT_2023-01-25_nrt.stac-item
2023-01-26 09:28:31	ga_s2bm_ard_3-2-1_56GLT_2023-01-25_nrt.stac-item
2023-01-26 09:28:33	ga_s2bm_ard_3-2-1_55GGN_2023-01-25_nrt.stac-item
2023-01-26 09:28:34	ga_s2bm_ard_3-2-1_55GGP_2023-01-25_nrt.stac-item
2023-01-26 09:28:35	ga_s2bm_ard_3-2-1_55GFN_2023-01-25_final.stac-item
2023-01-26 09:28:38	ga_s2bm_ard_3-2-1_56GLT_2023-01-25_nrt.stac-item
2023-01-26 09:28:40	ga_s2bm_ard_3-2-1_55GGN_2023-01-25_nrt.stac-item
2023-01-26 09:28:43	ga_s2bm_ard_3-2-1_55GFN_2023-01-25_final.stac-item
2023-01-26 09:28:47	ga_s2bm_ard_3-2-1_55GEN_2023-01-25_final.stac-item
2023-01-26 09:28:50	ga_s2bm_ard_3-2-1_56GLS_2023-01-25_nrt.stac-item
2023-01-26 09:28:53	ga_s2bm_ard_3-2-1_55GGM_2023-01-25_nrt.stac-item
2023-01-26 09:28:57	ga_s2bm_ard_3-2-1_55GFM_2023-01-25_nrt.stac-item
2023-01-26 09:28:59	ga_s2bm_ard_3-2-1_55GEM_2023-01-25_final.stac-item
2023-01-26 11:00:27	ga_s2bm_ard_3-2-1_53LKH_2023-01-26_final.stac-item
2023-01-26 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2023-01-26_final.stac-item
2023-01-26 11:00:34	ga_s2bm_ard_3-2-1_53LMG_2023-01-26_final.stac-item
2023-01-26 11:00:46	ga_s2bm_ard_3-2-1_53LMF_2023-01-26_final.stac-item
2023-01-26 11:01:10	ga_s2bm_ard_3-2-1_53LKE_2023-01-26_final.stac-item
2023-01-26 11:01:12	ga_s2bm_ard_3-2-1_52LHK_2023-01-26_final.stac-item
2023-01-26 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2023-01-26_final.stac-item
2023-01-26 11:01:36	ga_s2bm_ard_3-2-1_53LLC_2023-01-26_final.stac-item
2023-01-26 11:01:39	ga_s2bm_ard_3-2-1_53LKC_2023-01-26_final.stac-item
2023-01-26 11:01:41	ga_s2bm_ard_3-2-1_52LHH_2023-01-26_final.stac-item
2023-01-26 11:01:44	ga_s2bm_ard_3-2-1_52LGH_2023-01-26_final.stac-item
2023-01-26 11:01:57	ga_s2bm_ard_3-2-1_53KLB_2023-01-26_final.stac-item
2023-01-26 11:01:57	ga_s2bm_ard_3-2-1_53KLA_2023-01-26_final.stac-item
2023-01-26 11:01:59	ga_s2bm_ard_3-2-1_53KKB_2023-01-26_final.stac-item
2023-01-26 11:02:03	ga_s2bm_ard_3-2-1_52KFG_2023-01-26_final.stac-item
2023-01-26 11:02:08	ga_s2bm_ard_3-2-1_53KKA_2023-01-26_final.stac-item
2023-01-26 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2023-01-26_final.stac-item
2023-01-26 11:02:13	ga_s2bm_ard_3-2-1_52KGF_2023-01-26_final.stac-item
2023-01-26 11:02:16	ga_s2bm_ard_3-2-1_52KFF_2023-01-26_final.stac-item
2023-01-26 11:02:31	ga_s2bm_ard_3-2-1_52KFE_2023-01-26_final.stac-item
2023-01-26 11:02:38	ga_s2bm_ard_3-2-1_52KHD_2023-01-26_final.stac-item
2023-01-26 11:02:42	ga_s2bm_ard_3-2-1_52KGD_2023-01-26_final.stac-item
2023-01-26 11:02:50	ga_s2bm_ard_3-2-1_52KED_2023-01-26_final.stac-item
2023-01-26 11:02:52	ga_s2bm_ard_3-2-1_53KKT_2023-01-26_final.stac-item
2023-01-26 11:02:53	ga_s2bm_ard_3-2-1_52KHC_2023-01-26_final.stac-item
2023-01-26 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2023-01-26_final.stac-item
2023-01-26 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-01-26_final.stac-item
2023-01-26 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2023-01-26_final.stac-item
2023-01-26 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2023-01-26_final.stac-item
2023-01-26 11:03:31	ga_s2bm_ard_3-2-1_52KHV_2023-01-26_final.stac-item
2023-01-26 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2023-01-26_final.stac-item
2023-01-26 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2023-01-26_final.stac-item
2023-01-26 11:03:52	ga_s2bm_ard_3-2-1_52KDV_2023-01-26_final.stac-item
2023-01-26 11:04:01	ga_s2bm_ard_3-2-1_52KEU_2023-01-26_final.stac-item
2023-01-26 11:04:04	ga_s2bm_ard_3-2-1_52KDU_2023-01-26_final.stac-item
2023-01-26 11:04:12	ga_s2bm_ard_3-2-1_52JFT_2023-01-26_final.stac-item
2023-01-26 11:04:16	ga_s2bm_ard_3-2-1_52JET_2023-01-26_final.stac-item
2023-01-26 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-01-26_final.stac-item
2023-01-26 11:04:27	ga_s2bm_ard_3-2-1_52JFS_2023-01-26_final.stac-item
2023-01-26 11:04:30	ga_s2bm_ard_3-2-1_52JES_2023-01-26_final.stac-item
2023-01-26 11:04:34	ga_s2bm_ard_3-2-1_52JGR_2023-01-26_final.stac-item
2023-01-26 11:04:34	ga_s2bm_ard_3-2-1_52JDS_2023-01-26_final.stac-item
2023-01-26 11:04:56	ga_s2bm_ard_3-2-1_52JFQ_2023-01-26_final.stac-item
2023-01-26 11:05:04	ga_s2bm_ard_3-2-1_52JCQ_2023-01-26_final.stac-item
2023-01-26 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2023-01-26_final.stac-item
2023-01-26 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2023-01-26_final.stac-item
2023-01-26 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2023-01-26_final.stac-item
2023-01-26 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2023-01-26_final.stac-item
2023-01-26 11:06:19	ga_s2bm_ard_3-2-1_52HCK_2023-01-26_final.stac-item
2023-01-26 11:06:26	ga_s2bm_ard_3-2-1_52HEJ_2023-01-26_nrt.stac-item
2023-01-26 11:06:29	ga_s2bm_ard_3-2-1_52HDJ_2023-01-26_nrt.stac-item
2023-01-26 11:06:34	ga_s2bm_ard_3-2-1_52HEH_2023-01-26_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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