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

86 results

Time (local)	Label
2023-03-25 10:19:58	ga_s2bm_ard_3-2-1_54LYP_2023-03-25_final.stac-item
2023-03-25 10:20:27	ga_s2bm_ard_3-2-1_54LYM_2023-03-25_final.stac-item
2023-03-25 10:20:38	ga_s2bm_ard_3-2-1_54LZL_2023-03-25_final.stac-item
2023-03-25 10:20:48	ga_s2bm_ard_3-2-1_54LWL_2023-03-25_final.stac-item
2023-03-25 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2023-03-25_final.stac-item
2023-03-25 10:21:46	ga_s2bm_ard_3-2-1_54KWG_2023-03-25_final.stac-item
2023-03-25 10:24:06	ga_s2bm_ard_3-2-1_53JRN_2023-03-25_final.stac-item
2023-03-25 10:25:49	ga_s2bm_ard_3-2-1_54JTL_2023-03-25_final.stac-item
2023-03-25 10:26:38	ga_s2bm_ard_3-2-1_53HPC_2023-03-25_final.stac-item
2023-03-25 10:26:43	ga_s2bm_ard_3-2-1_53HNC_2023-03-25_final.stac-item
2023-03-25 10:27:14	ga_s2bm_ard_3-2-1_54HTE_2023-03-25_final.stac-item
2023-03-25 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2023-03-25_final.stac-item
2023-03-25 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2023-03-25_final.stac-item
2023-03-25 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2023-03-25_final.stac-item
2023-03-25 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2023-03-25_final.stac-item
2023-03-26 09:51:42	ga_s2bm_ard_3-2-1_56KKF_2023-03-26_final.stac-item
2023-03-26 09:51:50	ga_s2bm_ard_3-2-1_55KFA_2023-03-26_final.stac-item
2023-03-26 09:52:16	ga_s2bm_ard_3-2-1_55KGU_2023-03-26_final.stac-item
2023-03-26 09:52:23	ga_s2bm_ard_3-2-1_55KEU_2023-03-26_final.stac-item
2023-03-26 09:53:03	ga_s2bm_ard_3-2-1_55KFR_2023-03-26_final.stac-item
2023-03-26 09:53:50	ga_s2bm_ard_3-2-1_55JGM_2023-03-26_final.stac-item
2023-03-26 09:55:03	ga_s2bm_ard_3-2-1_55JCH_2023-03-26_final.stac-item
2023-03-26 09:55:35	ga_s2bm_ard_3-2-1_55JDF_2023-03-26_final.stac-item
2023-03-26 09:56:13	ga_s2bm_ard_3-2-1_54HYJ_2023-03-26_final.stac-item
2023-03-26 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2023-03-26_final.stac-item
2023-03-26 11:31:33	ga_s2bm_ard_3-2-1_51LWE_2023-03-26_final.stac-item
2023-03-26 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2023-03-26_final.stac-item
2023-03-26 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2023-03-26_final.stac-item
2023-03-26 11:34:39	ga_s2bm_ard_3-2-1_51JTN_2023-03-26_final.stac-item
2023-03-26 11:35:29	ga_s2bm_ard_3-2-1_51JVJ_2023-03-26_final.stac-item
2023-03-26 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-03-26_final.stac-item
2023-03-26 11:37:15	ga_s2bm_ard_3-2-1_51HUB_2023-03-26_final.stac-item
2023-03-26 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2023-03-26_final.stac-item
2023-03-27 09:23:43	ga_s2bm_ard_3-2-1_56JNT_2023-03-26_final.stac-item
2023-03-27 09:25:28	ga_s2bm_ard_3-2-1_56JML_2023-03-26_final.stac-item
2023-03-27 09:26:29	ga_s2bm_ard_3-2-1_56HLG_2023-03-26_final.stac-item
2023-03-27 09:26:47	ga_s2bm_ard_3-2-1_56HKF_2023-03-26_final.stac-item
2023-03-27 09:27:04	ga_s2bm_ard_3-2-1_55HGV_2023-03-26_final.stac-item
2023-03-27 09:28:04	ga_s2bm_ard_3-2-1_55GFR_2023-03-26_final.stac-item
2023-03-27 09:28:19	ga_s2bm_ard_3-2-1_55GFQ_2023-03-26_final.stac-item
2023-03-27 09:28:47	ga_s2bm_ard_3-2-1_55GFN_2023-03-26_final.stac-item
2023-03-27 09:29:04	ga_s2bm_ard_3-2-1_55GEM_2023-03-26_final.stac-item
2023-03-27 11:00:25	ga_s2bm_ard_3-2-1_53LMH_2023-03-27_final.stac-item
2023-03-27 11:01:05	ga_s2bm_ard_3-2-1_52LGL_2023-03-27_final.stac-item
2023-03-27 11:01:42	ga_s2bm_ard_3-2-1_52LFJ_2023-03-27_final.stac-item
2023-03-27 11:02:38	ga_s2bm_ard_3-2-1_52KHE_2023-03-27_final.stac-item
2023-03-27 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2023-03-27_final.stac-item
2023-03-27 11:03:25	ga_s2bm_ard_3-2-1_52KHA_2023-03-27_final.stac-item
2023-03-27 11:03:48	ga_s2bm_ard_3-2-1_52KFV_2023-03-27_final.stac-item
2023-03-27 11:03:56	ga_s2bm_ard_3-2-1_52KDV_2023-03-27_final.stac-item
2023-03-27 11:04:39	ga_s2bm_ard_3-2-1_52JDS_2023-03-27_final.stac-item
2023-03-27 11:05:04	ga_s2bm_ard_3-2-1_52JEQ_2023-03-27_final.stac-item
2023-04-07 10:30:03	ga_s2bm_ard_3-2-1_54LVP_2023-04-07_nrt.stac-item
2023-04-07 10:30:06	ga_s2bm_ard_3-2-1_54LUP_2023-04-07_nrt.stac-item
2023-04-07 10:30:18	ga_s2bm_ard_3-2-1_54LVN_2023-04-07_nrt.stac-item
2023-04-07 10:30:21	ga_s2bm_ard_3-2-1_54LUN_2023-04-07_nrt.stac-item
2023-04-07 10:30:36	ga_s2bm_ard_3-2-1_54LUM_2023-04-07_nrt.stac-item
2023-04-07 10:30:40	ga_s2bm_ard_3-2-1_54LTM_2023-04-07_nrt.stac-item
2023-04-07 10:30:50	ga_s2bm_ard_3-2-1_54LUL_2023-04-07_nrt.stac-item
2023-04-07 10:30:53	ga_s2bm_ard_3-2-1_54LTL_2023-04-07_nrt.stac-item
2023-04-07 10:31:05	ga_s2bm_ard_3-2-1_54LUK_2023-04-07_nrt.stac-item
2023-04-07 10:31:08	ga_s2bm_ard_3-2-1_54LTK_2023-04-07_nrt.stac-item
2023-04-07 10:31:12	ga_s2bm_ard_3-2-1_53LRE_2023-04-07_nrt.stac-item
2023-04-07 10:31:16	ga_s2bm_ard_3-2-1_54LTJ_2023-04-07_nrt.stac-item
2023-04-07 10:31:17	ga_s2bm_ard_3-2-1_53LRD_2023-04-07_nrt.stac-item
2023-04-07 10:31:23	ga_s2bm_ard_3-2-1_54LTJ_2023-04-07_nrt.stac-item
2023-04-07 10:31:24	ga_s2bm_ard_3-2-1_53LRD_2023-04-07_nrt.stac-item
2023-04-07 10:31:37	ga_s2bm_ard_3-2-1_54LTH_2023-04-07_nrt.stac-item
2023-04-07 10:31:38	ga_s2bm_ard_3-2-1_53LRC_2023-04-07_nrt.stac-item
2023-04-07 10:36:45	ga_s2bm_ard_3-2-1_53HLC_2023-04-07_nrt.stac-item
2023-04-07 10:37:00	ga_s2bm_ard_3-2-1_53HLB_2023-04-07_nrt.stac-item
2023-04-07 10:37:05	ga_s2bm_ard_3-2-1_53HNA_2023-04-07_nrt.stac-item
2023-04-07 10:37:07	ga_s2bm_ard_3-2-1_53HMA_2023-04-07_nrt.stac-item
2023-04-07 10:37:09	ga_s2bm_ard_3-2-1_53HLA_2023-04-07_nrt.stac-item
2023-04-07 10:37:11	ga_s2bm_ard_3-2-1_53HNV_2023-04-07_nrt.stac-item
2023-04-07 12:10:32	ga_s2bm_ard_3-2-1_50LNP_2023-04-07_nrt.stac-item
2023-04-07 12:10:33	ga_s2bm_ard_3-2-1_50LMP_2023-04-07_nrt.stac-item
2023-04-07 12:13:29	ga_s2bm_ard_3-2-1_49KFU_2023-04-07_nrt.stac-item
2023-04-07 12:13:32	ga_s2bm_ard_3-2-1_50KKC_2023-04-07_nrt.stac-item
2023-04-07 12:13:32	ga_s2bm_ard_3-2-1_49KHT_2023-04-07_nrt.stac-item
2023-04-07 12:13:34	ga_s2bm_ard_3-2-1_49KGT_2023-04-07_nrt.stac-item
2023-04-07 12:13:46	ga_s2bm_ard_3-2-1_49KGS_2023-04-07_nrt.stac-item
2023-04-07 12:13:50	ga_s2bm_ard_3-2-1_49KFS_2023-04-07_nrt.stac-item
2023-04-07 12:14:33	ga_s2bm_ard_3-2-1_49KFP_2023-04-07_nrt.stac-item
2023-04-07 12:15:17	ga_s2bm_ard_3-2-1_49JFL_2023-04-07_nrt.stac-item
2023-04-07 12:15:25	ga_s2bm_ard_3-2-1_49JFK_2023-04-07_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

Other products

All years