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
2023-08-04 11:01:04	ga_s2bm_ard_3-2-1_52LHL_2023-08-04_final.stac-item
2023-08-04 11:01:07	ga_s2bm_ard_3-2-1_52LGL_2023-08-04_final.stac-item
2023-08-04 11:01:18	ga_s2bm_ard_3-2-1_52LHK_2023-08-04_final.stac-item
2023-08-04 11:01:33	ga_s2bm_ard_3-2-1_52LHJ_2023-08-04_final.stac-item
2023-08-04 11:01:44	ga_s2bm_ard_3-2-1_52LFJ_2023-08-04_final.stac-item
2023-08-04 11:01:51	ga_s2bm_ard_3-2-1_52LGH_2023-08-04_final.stac-item
2023-08-04 11:01:56	ga_s2bm_ard_3-2-1_53KLB_2023-08-04_final.stac-item
2023-08-04 11:02:00	ga_s2bm_ard_3-2-1_53KKB_2023-08-04_final.stac-item
2023-08-04 11:02:02	ga_s2bm_ard_3-2-1_52KHG_2023-08-04_final.stac-item
2023-08-04 11:02:08	ga_s2bm_ard_3-2-1_53KLA_2023-08-04_final.stac-item
2023-08-04 11:02:08	ga_s2bm_ard_3-2-1_52KFG_2023-08-04_final.stac-item
2023-08-04 11:02:45	ga_s2bm_ard_3-2-1_52KHD_2023-08-04_final.stac-item
2023-08-04 11:02:49	ga_s2bm_ard_3-2-1_52KGD_2023-08-04_final.stac-item
2023-08-04 11:02:52	ga_s2bm_ard_3-2-1_52KFD_2023-08-04_final.stac-item
2023-08-04 11:02:59	ga_s2bm_ard_3-2-1_53KKT_2023-08-04_final.stac-item
2023-08-04 11:02:59	ga_s2bm_ard_3-2-1_52KHC_2023-08-04_final.stac-item
2023-08-04 11:03:03	ga_s2bm_ard_3-2-1_52KGC_2023-08-04_final.stac-item
2023-08-04 11:03:06	ga_s2bm_ard_3-2-1_52KFC_2023-08-04_final.stac-item
2023-08-04 11:03:10	ga_s2bm_ard_3-2-1_52KEC_2023-08-04_final.stac-item
2023-08-04 11:03:12	ga_s2bm_ard_3-2-1_53KKS_2023-08-04_final.stac-item
2023-08-04 11:03:18	ga_s2bm_ard_3-2-1_52KGB_2023-08-04_final.stac-item
2023-08-04 11:03:24	ga_s2bm_ard_3-2-1_52KEB_2023-08-04_final.stac-item
2023-08-04 11:03:38	ga_s2bm_ard_3-2-1_52KHV_2023-08-04_final.stac-item
2023-08-04 11:03:46	ga_s2bm_ard_3-2-1_52KGV_2023-08-04_final.stac-item
2023-08-04 11:04:01	ga_s2bm_ard_3-2-1_52KGU_2023-08-04_final.stac-item
2023-08-04 11:04:04	ga_s2bm_ard_3-2-1_52KFU_2023-08-04_final.stac-item
2023-08-04 11:04:08	ga_s2bm_ard_3-2-1_52KEU_2023-08-04_final.stac-item
2023-08-04 11:04:15	ga_s2bm_ard_3-2-1_52JGT_2023-08-04_final.stac-item
2023-08-04 11:04:19	ga_s2bm_ard_3-2-1_52JFT_2023-08-04_final.stac-item
2023-08-04 11:04:23	ga_s2bm_ard_3-2-1_52JET_2023-08-04_final.stac-item
2023-08-04 11:04:33	ga_s2bm_ard_3-2-1_52JFS_2023-08-04_final.stac-item
2023-08-04 11:04:37	ga_s2bm_ard_3-2-1_52JES_2023-08-04_final.stac-item
2023-08-04 11:04:40	ga_s2bm_ard_3-2-1_52JDS_2023-08-04_final.stac-item
2023-08-04 11:04:55	ga_s2bm_ard_3-2-1_52JDR_2023-08-04_final.stac-item
2023-08-04 11:05:00	ga_s2bm_ard_3-2-1_52JCR_2023-08-04_final.stac-item
2023-08-04 11:05:17	ga_s2bm_ard_3-2-1_52JFP_2023-08-04_final.stac-item
2023-08-04 11:05:31	ga_s2bm_ard_3-2-1_52JFN_2023-08-04_final.stac-item
2023-08-04 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2023-08-04_final.stac-item
2023-08-04 11:05:42	ga_s2bm_ard_3-2-1_52JCN_2023-08-04_final.stac-item
2023-08-04 11:05:49	ga_s2bm_ard_3-2-1_52JEM_2023-08-04_final.stac-item
2023-08-04 11:05:56	ga_s2bm_ard_3-2-1_52JCM_2023-08-04_final.stac-item
2023-08-04 11:06:03	ga_s2bm_ard_3-2-1_52JBM_2023-08-04_final.stac-item
2023-08-04 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-08-04_final.stac-item
2023-08-04 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2023-08-04_final.stac-item
2023-08-05 10:32:27	ga_s2bm_ard_3-2-1_53KQV_2023-08-05_final.stac-item
2023-08-05 10:32:41	ga_s2bm_ard_3-2-1_53KQU_2023-08-05_final.stac-item
2023-08-05 10:32:48	ga_s2bm_ard_3-2-1_53KQU_2023-08-05_final.stac-item
2023-08-05 10:33:25	ga_s2bm_ard_3-2-1_53KQR_2023-08-05_final.stac-item
2023-08-05 10:33:39	ga_s2bm_ard_3-2-1_53KQQ_2023-08-05_final.stac-item
2023-08-05 10:33:43	ga_s2bm_ard_3-2-1_53KPQ_2023-08-05_final.stac-item
2023-08-05 10:33:58	ga_s2bm_ard_3-2-1_53KPP_2023-08-05_final.stac-item
2023-08-05 10:34:08	ga_s2bm_ard_3-2-1_53JQN_2023-08-05_final.stac-item
2023-08-05 10:34:12	ga_s2bm_ard_3-2-1_53JPN_2023-08-05_final.stac-item
2023-08-05 10:34:19	ga_s2bm_ard_3-2-1_53JRM_2023-08-05_final.stac-item
2023-08-05 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2023-08-05_final.stac-item
2023-08-05 10:34:26	ga_s2bm_ard_3-2-1_53JPM_2023-08-05_final.stac-item
2023-08-05 10:34:44	ga_s2bm_ard_3-2-1_53JNL_2023-08-05_final.stac-item
2023-08-05 10:35:06	ga_s2bm_ard_3-2-1_53JQJ_2023-08-05_final.stac-item
2023-08-05 10:35:20	ga_s2bm_ard_3-2-1_53JQH_2023-08-05_final.stac-item
2023-08-05 10:35:24	ga_s2bm_ard_3-2-1_53JPH_2023-08-05_final.stac-item
2023-08-05 10:35:28	ga_s2bm_ard_3-2-1_53JNH_2023-08-05_final.stac-item
2023-08-05 10:35:32	ga_s2bm_ard_3-2-1_53JMH_2023-08-05_final.stac-item
2023-08-05 10:35:39	ga_s2bm_ard_3-2-1_53JPG_2023-08-05_final.stac-item
2023-08-05 10:35:42	ga_s2bm_ard_3-2-1_53JNG_2023-08-05_final.stac-item
2023-08-05 10:36:01	ga_s2bm_ard_3-2-1_53HQE_2023-08-05_final.stac-item
2023-08-05 10:36:08	ga_s2bm_ard_3-2-1_53HPE_2023-08-05_final.stac-item
2023-08-05 10:36:11	ga_s2bm_ard_3-2-1_53HNE_2023-08-05_final.stac-item
2023-08-05 10:36:15	ga_s2bm_ard_3-2-1_53HME_2023-08-05_final.stac-item
2023-08-05 10:36:26	ga_s2bm_ard_3-2-1_53HND_2023-08-05_final.stac-item
2023-08-05 10:36:33	ga_s2bm_ard_3-2-1_53HLD_2023-08-05_final.stac-item
2023-08-05 10:36:40	ga_s2bm_ard_3-2-1_53HNC_2023-08-05_final.stac-item
2023-08-05 10:36:55	ga_s2bm_ard_3-2-1_53HNB_2023-08-05_final.stac-item
2023-08-05 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-05_final.stac-item
2023-08-05 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-08-05_final.stac-item
2023-08-05 12:14:24	ga_s2bm_ard_3-2-1_50KKU_2023-08-05_final.stac-item
2023-08-05 12:14:26	ga_s2bm_ard_3-2-1_49KHP_2023-08-05_final.stac-item
2023-08-05 12:14:36	ga_s2bm_ard_3-2-1_49JHN_2023-08-05_final.stac-item
2023-08-05 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-08-05_final.stac-item
2023-08-05 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2023-08-05_final.stac-item
2023-08-06 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-08-06_final.stac-item
2023-08-06 11:43:38	ga_s2bm_ard_3-2-1_50KRB_2023-08-06_final.stac-item
2023-08-06 11:44:07	ga_s2bm_ard_3-2-1_50KRV_2023-08-06_final.stac-item
2023-08-06 11:44:50	ga_s2bm_ard_3-2-1_50JRS_2023-08-06_final.stac-item
2023-08-06 11:45:23	ga_s2bm_ard_3-2-1_50JQQ_2023-08-06_final.stac-item
2023-08-06 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2023-08-06_final.stac-item
2023-08-06 11:46:02	ga_s2bm_ard_3-2-1_51JTG_2023-08-06_final.stac-item
2023-08-06 11:46:12	ga_s2bm_ard_3-2-1_51JTF_2023-08-06_final.stac-item
2023-08-06 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-08-06_final.stac-item
2023-08-15 10:36:48	ga_s2bm_ard_3-2-1_53HLC_2023-08-15_nrt.stac-item
2023-08-15 10:37:03	ga_s2bm_ard_3-2-1_53HLB_2023-08-15_nrt.stac-item
2023-08-15 12:10:33	ga_s2bm_ard_3-2-1_50LNP_2023-08-15_nrt.stac-item
2023-08-15 12:13:30	ga_s2bm_ard_3-2-1_49KFU_2023-08-15_nrt.stac-item
2023-08-15 12:13:34	ga_s2bm_ard_3-2-1_49KHT_2023-08-15_nrt.stac-item
2023-08-15 12:13:36	ga_s2bm_ard_3-2-1_49KGT_2023-08-15_nrt.stac-item
2023-08-15 12:13:38	ga_s2bm_ard_3-2-1_49KFT_2023-08-15_nrt.stac-item
2023-08-15 12:13:53	ga_s2bm_ard_3-2-1_49KFS_2023-08-15_nrt.stac-item
2023-08-15 12:14:07	ga_s2bm_ard_3-2-1_49KFR_2023-08-15_nrt.stac-item
2023-08-15 12:14:22	ga_s2bm_ard_3-2-1_49KFQ_2023-08-15_nrt.stac-item
2023-08-15 12:14:36	ga_s2bm_ard_3-2-1_49KFP_2023-08-15_nrt.stac-item
2023-08-15 12:15:19	ga_s2bm_ard_3-2-1_49JFL_2023-08-15_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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