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
2023-04-05 11:35:19	ga_s2bm_ard_3-2-1_51JUK_2023-04-05_final.stac-item
2023-04-05 11:35:22	ga_s2bm_ard_3-2-1_51JTK_2023-04-05_final.stac-item
2023-04-05 11:36:17	ga_s2bm_ard_3-2-1_51JUF_2023-04-05_final.stac-item
2023-04-05 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2023-04-05_final.stac-item
2023-04-05 11:36:31	ga_s2bm_ard_3-2-1_51HUE_2023-04-05_final.stac-item
2023-04-05 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-04-05_final.stac-item
2023-04-05 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-04-05_final.stac-item
2023-04-05 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2023-04-05_final.stac-item
2023-04-05 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-04-05_final.stac-item
2023-04-05 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2023-04-05_final.stac-item
2023-04-05 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-04-05_final.stac-item
2023-04-05 11:37:29	ga_s2bm_ard_3-2-1_51HUA_2023-04-05_nrt.stac-item
2023-04-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-04-05_final.stac-item
2023-04-05 11:37:31	ga_s2bm_ard_3-2-1_51HTA_2023-04-05_nrt.stac-item
2023-04-05 11:37:32	ga_s2bm_ard_3-2-1_50HQF_2023-04-05_nrt.stac-item
2023-04-05 11:37:34	ga_s2bm_ard_3-2-1_50HPF_2023-04-05_nrt.stac-item
2023-04-05 11:37:36	ga_s2bm_ard_3-2-1_50HNF_2023-04-05_nrt.stac-item
2023-04-05 11:37:36	ga_s2bm_ard_3-2-1_51HUV_2023-04-05_nrt.stac-item
2023-04-06 09:22:43	ga_s2bm_ard_3-2-1_56KPB_2023-04-05_final.stac-item
2023-04-06 09:23:25	ga_s2bm_ard_3-2-1_56KPU_2023-04-05_nrt.stac-item
2023-04-06 09:23:29	ga_s2bm_ard_3-2-1_56KNU_2023-04-05_nrt.stac-item
2023-04-06 09:23:39	ga_s2bm_ard_3-2-1_56JPT_2023-04-05_nrt.stac-item
2023-04-06 09:23:43	ga_s2bm_ard_3-2-1_56JNT_2023-04-05_final.stac-item
2023-04-06 09:23:54	ga_s2bm_ard_3-2-1_56JPS_2023-04-05_nrt.stac-item
2023-04-06 09:25:20	ga_s2bm_ard_3-2-1_56JPL_2023-04-05_nrt.stac-item
2023-04-06 09:25:25	ga_s2bm_ard_3-2-1_56JNL_2023-04-05_final.stac-item
2023-04-06 09:25:28	ga_s2bm_ard_3-2-1_56JML_2023-04-05_final.stac-item
2023-04-06 09:25:32	ga_s2bm_ard_3-2-1_56JLL_2023-04-05_final.stac-item
2023-04-06 09:25:39	ga_s2bm_ard_3-2-1_56HNK_2023-04-05_nrt.stac-item
2023-04-06 09:25:42	ga_s2bm_ard_3-2-1_56HMK_2023-04-05_final.stac-item
2023-04-06 09:26:22	ga_s2bm_ard_3-2-1_56HNG_2023-04-05_nrt.stac-item
2023-04-06 09:26:26	ga_s2bm_ard_3-2-1_56HMG_2023-04-05_nrt.stac-item
2023-04-06 09:26:34	ga_s2bm_ard_3-2-1_56HKG_2023-04-05_final.stac-item
2023-04-06 09:26:44	ga_s2bm_ard_3-2-1_56HLF_2023-04-05_nrt.stac-item
2023-04-06 09:26:47	ga_s2bm_ard_3-2-1_56HKF_2023-04-05_final.stac-item
2023-04-06 09:26:52	ga_s2bm_ard_3-2-1_56HNE_2023-04-05_nrt.stac-item
2023-04-06 09:27:04	ga_s2bm_ard_3-2-1_55HGV_2023-04-05_final.stac-item
2023-04-06 09:27:05	ga_s2bm_ard_3-2-1_56HND_2023-04-05_nrt.stac-item
2023-04-06 09:27:10	ga_s2bm_ard_3-2-1_56HMD_2023-04-05_nrt.stac-item
2023-04-06 09:27:13	ga_s2bm_ard_3-2-1_56HLD_2023-04-05_nrt.stac-item
2023-04-06 09:27:16	ga_s2bm_ard_3-2-1_56HKD_2023-04-05_nrt.stac-item
2023-04-06 09:27:17	ga_s2bm_ard_3-2-1_55HGU_2023-04-05_final.stac-item
2023-04-06 09:27:38	ga_s2bm_ard_3-2-1_56HMB_2023-04-05_nrt.stac-item
2023-04-06 09:27:42	ga_s2bm_ard_3-2-1_56HLB_2023-04-05_nrt.stac-item
2023-04-06 09:27:45	ga_s2bm_ard_3-2-1_56HKB_2023-04-05_nrt.stac-item
2023-04-06 09:27:46	ga_s2bm_ard_3-2-1_55HGS_2023-04-05_nrt.stac-item
2023-04-06 09:27:52	ga_s2bm_ard_3-2-1_55HFS_2023-04-05_final.stac-item
2023-04-06 09:28:21	ga_s2bm_ard_3-2-1_56GMU_2023-04-05_nrt.stac-item
2023-04-06 09:28:29	ga_s2bm_ard_3-2-1_55GGP_2023-04-05_nrt.stac-item
2023-04-06 09:28:29	ga_s2bm_ard_3-2-1_56GKU_2023-04-05_nrt.stac-item
2023-04-06 09:28:31	ga_s2bm_ard_3-2-1_55GFP_2023-04-05_final.stac-item
2023-04-06 09:28:36	ga_s2bm_ard_3-2-1_56GKU_2023-04-05_nrt.stac-item
2023-04-06 09:28:36	ga_s2bm_ard_3-2-1_55GGP_2023-04-05_nrt.stac-item
2023-04-06 09:28:38	ga_s2bm_ard_3-2-1_55GFP_2023-04-05_final.stac-item
2023-04-06 11:00:32	ga_s2bm_ard_3-2-1_53LKH_2023-04-06_final.stac-item
2023-04-06 11:00:39	ga_s2bm_ard_3-2-1_53LMG_2023-04-06_final.stac-item
2023-04-06 11:01:26	ga_s2bm_ard_3-2-1_53LLD_2023-04-06_final.stac-item
2023-04-06 11:01:30	ga_s2bm_ard_3-2-1_53LKD_2023-04-06_final.stac-item
2023-04-06 11:01:31	ga_s2bm_ard_3-2-1_52LHJ_2023-04-06_final.stac-item
2023-04-06 11:01:35	ga_s2bm_ard_3-2-1_52LGJ_2023-04-06_final.stac-item
2023-04-06 11:01:55	ga_s2bm_ard_3-2-1_53KLB_2023-04-06_final.stac-item
2023-04-06 11:01:59	ga_s2bm_ard_3-2-1_53KKB_2023-04-06_final.stac-item
2023-04-06 11:02:00	ga_s2bm_ard_3-2-1_52KHG_2023-04-06_final.stac-item
2023-04-06 11:02:03	ga_s2bm_ard_3-2-1_52KGG_2023-04-06_final.stac-item
2023-04-06 11:02:06	ga_s2bm_ard_3-2-1_52KFG_2023-04-06_final.stac-item
2023-04-06 11:02:13	ga_s2bm_ard_3-2-1_53KKA_2023-04-06_final.stac-item
2023-04-06 11:02:14	ga_s2bm_ard_3-2-1_52KHF_2023-04-06_final.stac-item
2023-04-06 11:02:18	ga_s2bm_ard_3-2-1_52KGF_2023-04-06_final.stac-item
2023-04-06 11:02:37	ga_s2bm_ard_3-2-1_53KKU_2023-04-06_final.stac-item
2023-04-06 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2023-04-06_final.stac-item
2023-04-06 11:02:39	ga_s2bm_ard_3-2-1_52KGD_2023-04-06_final.stac-item
2023-04-06 11:02:44	ga_s2bm_ard_3-2-1_53KKU_2023-04-06_final.stac-item
2023-04-06 11:02:44	ga_s2bm_ard_3-2-1_52KHD_2023-04-06_final.stac-item
2023-04-06 11:02:47	ga_s2bm_ard_3-2-1_52KGD_2023-04-06_final.stac-item
2023-04-06 11:02:50	ga_s2bm_ard_3-2-1_52KFD_2023-04-06_final.stac-item
2023-04-06 11:02:55	ga_s2bm_ard_3-2-1_52KED_2023-04-06_final.stac-item
2023-04-06 11:02:57	ga_s2bm_ard_3-2-1_53KKT_2023-04-06_final.stac-item
2023-04-06 11:02:58	ga_s2bm_ard_3-2-1_52KHC_2023-04-06_final.stac-item
2023-04-06 11:03:01	ga_s2bm_ard_3-2-1_52KGC_2023-04-06_final.stac-item
2023-04-06 11:03:19	ga_s2bm_ard_3-2-1_52KFB_2023-04-06_final.stac-item
2023-04-06 11:03:23	ga_s2bm_ard_3-2-1_52KEB_2023-04-06_final.stac-item
2023-04-06 11:03:25	ga_s2bm_ard_3-2-1_52KHA_2023-04-06_final.stac-item
2023-04-06 11:03:37	ga_s2bm_ard_3-2-1_52KEA_2023-04-06_final.stac-item
2023-04-06 11:03:44	ga_s2bm_ard_3-2-1_52KGV_2023-04-06_final.stac-item
2023-04-06 11:03:52	ga_s2bm_ard_3-2-1_52KEV_2023-04-06_final.stac-item
2023-04-06 11:03:56	ga_s2bm_ard_3-2-1_52KDV_2023-04-06_final.stac-item
2023-04-06 11:04:03	ga_s2bm_ard_3-2-1_52KFU_2023-04-06_final.stac-item
2023-04-06 11:04:06	ga_s2bm_ard_3-2-1_52KEU_2023-04-06_final.stac-item
2023-04-06 11:04:09	ga_s2bm_ard_3-2-1_52KDU_2023-04-06_final.stac-item
2023-04-06 11:04:14	ga_s2bm_ard_3-2-1_52JGT_2023-04-06_final.stac-item
2023-04-06 11:04:17	ga_s2bm_ard_3-2-1_52JFT_2023-04-06_final.stac-item
2023-04-06 11:04:21	ga_s2bm_ard_3-2-1_52JET_2023-04-06_final.stac-item
2023-04-06 11:04:32	ga_s2bm_ard_3-2-1_52JFS_2023-04-06_final.stac-item
2023-04-06 11:04:35	ga_s2bm_ard_3-2-1_52JES_2023-04-06_final.stac-item
2023-04-06 11:04:38	ga_s2bm_ard_3-2-1_52JGR_2023-04-06_final.stac-item
2023-04-06 11:04:39	ga_s2bm_ard_3-2-1_52JDS_2023-04-06_final.stac-item
2023-04-06 11:05:11	ga_s2bm_ard_3-2-1_52JCQ_2023-04-06_final.stac-item
2023-04-06 11:06:02	ga_s2bm_ard_3-2-1_52JEL_2023-04-06_final.stac-item
2023-04-06 11:06:09	ga_s2bm_ard_3-2-1_52JCL_2023-04-06_final.stac-item
2023-04-06 11:06:17	ga_s2bm_ard_3-2-1_52HEK_2023-04-06_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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