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 11:35:57	ga_s2bm_ard_3-2-1_51JUG_2023-01-25_final.stac-item
2023-01-25 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2023-01-25_final.stac-item
2023-01-25 11:36:12	ga_s2bm_ard_3-2-1_51JUF_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 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2023-01-25_final.stac-item
2023-01-25 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2023-01-25_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2023-01-25_final.stac-item
2023-01-25 11:36:32	ga_s2bm_ard_3-2-1_50HQK_2023-01-25_final.stac-item
2023-01-25 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2023-01-25_final.stac-item
2023-01-25 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2023-01-25_final.stac-item
2023-01-25 11:37:10	ga_s2bm_ard_3-2-1_51HUB_2023-01-25_final.stac-item
2023-01-25 11:37:13	ga_s2bm_ard_3-2-1_51HTB_2023-01-25_final.stac-item
2023-01-25 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2023-01-25_final.stac-item
2023-01-25 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-01-25_final.stac-item
2023-01-25 11:37:24	ga_s2bm_ard_3-2-1_51HUA_2023-01-25_nrt.stac-item
2023-01-25 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-01-25_final.stac-item
2023-01-25 11:37:26	ga_s2bm_ard_3-2-1_51HTA_2023-01-25_nrt.stac-item
2023-01-25 11:37:27	ga_s2bm_ard_3-2-1_50HQF_2023-01-25_nrt.stac-item
2023-01-25 11:37:29	ga_s2bm_ard_3-2-1_50HPF_2023-01-25_nrt.stac-item
2023-01-25 11:37:31	ga_s2bm_ard_3-2-1_50HNF_2023-01-25_nrt.stac-item
2023-01-25 11:37:31	ga_s2bm_ard_3-2-1_51HUV_2023-01-25_nrt.stac-item
2023-01-26 09:23:20	ga_s2bm_ard_3-2-1_56KPU_2023-01-25_nrt.stac-item
2023-01-26 09:23:38	ga_s2bm_ard_3-2-1_56JNT_2023-01-25_final.stac-item
2023-01-26 09:25:16	ga_s2bm_ard_3-2-1_56JPL_2023-01-25_nrt.stac-item
2023-01-26 09:25:20	ga_s2bm_ard_3-2-1_56JNL_2023-01-25_final.stac-item
2023-01-26 09:25:23	ga_s2bm_ard_3-2-1_56JML_2023-01-25_final.stac-item
2023-01-26 09:25:28	ga_s2bm_ard_3-2-1_56JLL_2023-01-25_final.stac-item
2023-01-26 09:25:34	ga_s2bm_ard_3-2-1_56HNK_2023-01-25_nrt.stac-item
2023-01-26 09:25:37	ga_s2bm_ard_3-2-1_56HMK_2023-01-25_final.stac-item
2023-01-26 09:25:49	ga_s2bm_ard_3-2-1_56HNJ_2023-01-25_nrt.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 09:26:03	ga_s2bm_ard_3-2-1_56HNH_2023-01-25_nrt.stac-item
2023-01-26 09:26:06	ga_s2bm_ard_3-2-1_56HMH_2023-01-25_nrt.stac-item
2023-01-26 09:26:10	ga_s2bm_ard_3-2-1_56HPG_2023-01-25_nrt.stac-item
2023-01-26 09:26:17	ga_s2bm_ard_3-2-1_56HNG_2023-01-25_nrt.stac-item
2023-01-26 09:26:21	ga_s2bm_ard_3-2-1_56HMG_2023-01-25_nrt.stac-item
2023-01-26 09:26:24	ga_s2bm_ard_3-2-1_56HLG_2023-01-25_final.stac-item
2023-01-26 09:26:30	ga_s2bm_ard_3-2-1_56HKG_2023-01-25_final.stac-item
2023-01-26 09:26:32	ga_s2bm_ard_3-2-1_56HNF_2023-01-25_nrt.stac-item
2023-01-26 09:26:36	ga_s2bm_ard_3-2-1_56HMF_2023-01-25_nrt.stac-item
2023-01-26 09:26:39	ga_s2bm_ard_3-2-1_56HLF_2023-01-25_nrt.stac-item
2023-01-26 09:26:42	ga_s2bm_ard_3-2-1_56HKF_2023-01-25_final.stac-item
2023-01-26 09:26:47	ga_s2bm_ard_3-2-1_56HNE_2023-01-25_nrt.stac-item
2023-01-26 09:26:50	ga_s2bm_ard_3-2-1_56HME_2023-01-25_nrt.stac-item
2023-01-26 09:26:54	ga_s2bm_ard_3-2-1_56HLE_2023-01-25_nrt.stac-item
2023-01-26 09:26:57	ga_s2bm_ard_3-2-1_56HKE_2023-01-25_nrt.stac-item
2023-01-26 09:26:59	ga_s2bm_ard_3-2-1_55HGV_2023-01-25_final.stac-item
2023-01-26 09:27:11	ga_s2bm_ard_3-2-1_56HKD_2023-01-25_nrt.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 09:27:41	ga_s2bm_ard_3-2-1_55HGS_2023-01-25_nrt.stac-item
2023-01-26 09:28:16	ga_s2bm_ard_3-2-1_56GMU_2023-01-25_nrt.stac-item
2023-01-26 09:28:21	ga_s2bm_ard_3-2-1_56GLU_2023-01-25_nrt.stac-item
2023-01-26 09:28:24	ga_s2bm_ard_3-2-1_55GGP_2023-01-25_nrt.stac-item
2023-01-26 09:28:24	ga_s2bm_ard_3-2-1_56GKU_2023-01-25_nrt.stac-item
2023-01-26 09:28:28	ga_s2bm_ard_3-2-1_55GFP_2023-01-25_final.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 09:28:34	ga_s2bm_ard_3-2-1_55GEP_2023-01-25_final.stac-item
2023-01-26 09:28:35	ga_s2bm_ard_3-2-1_55GFP_2023-01-25_final.stac-item
2023-01-26 09:28:37	ga_s2bm_ard_3-2-1_55GEP_2023-01-25_final.stac-item
2023-01-26 09:28:40	ga_s2bm_ard_3-2-1_55GGN_2023-01-25_nrt.stac-item
2023-01-26 09:28:47	ga_s2bm_ard_3-2-1_55GEN_2023-01-25_final.stac-item
2023-01-26 09:28:59	ga_s2bm_ard_3-2-1_55GEM_2023-01-25_final.stac-item
2023-01-26 11:01:49	ga_s2bm_ard_3-2-1_53KLB_2023-01-26_final.stac-item
2023-01-26 11:01:52	ga_s2bm_ard_3-2-1_53KKB_2023-01-26_final.stac-item
2023-01-26 11:01:53	ga_s2bm_ard_3-2-1_52KHG_2023-01-26_final.stac-item
2023-01-26 11:01:54	ga_s2bm_ard_3-2-1_52KGG_2023-01-26_final.stac-item
2023-01-26 11:01:56	ga_s2bm_ard_3-2-1_52KFG_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 11:01:59	ga_s2bm_ard_3-2-1_52KHG_2023-01-26_final.stac-item
2023-01-26 11:02:01	ga_s2bm_ard_3-2-1_52KGG_2023-01-26_final.stac-item
2023-01-26 11:02:01	ga_s2bm_ard_3-2-1_53KLA_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 11:02:45	ga_s2bm_ard_3-2-1_52KFD_2023-01-26_final.stac-item
2023-01-26 11:03:20	ga_s2bm_ard_3-2-1_52KHA_2023-01-26_final.stac-item
2023-01-26 11:03:39	ga_s2bm_ard_3-2-1_52KGV_2023-01-26_final.stac-item
2023-01-26 11:03:58	ga_s2bm_ard_3-2-1_52KFU_2023-01-26_final.stac-item
2023-01-26 11:04:22	ga_s2bm_ard_3-2-1_52JGS_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_52JDS_2023-01-26_final.stac-item
2023-01-26 11:05:06	ga_s2bm_ard_3-2-1_52JFP_2023-01-26_final.stac-item
2023-01-26 11:05:09	ga_s2bm_ard_3-2-1_52JDP_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 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2023-01-26_final.stac-item
2023-01-26 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2023-01-26_final.stac-item
2023-01-26 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-01-26_final.stac-item
2023-01-26 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2023-01-26_final.stac-item
2023-01-26 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2023-01-26_final.stac-item
2023-01-26 11:06:12	ga_s2bm_ard_3-2-1_52HEK_2023-01-26_nrt.stac-item
2023-01-26 11:06:16	ga_s2bm_ard_3-2-1_52HDK_2023-01-26_final.stac-item
2023-01-26 11:06:22	ga_s2bm_ard_3-2-1_52HBK_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 11:06:31	ga_s2bm_ard_3-2-1_52HCJ_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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