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
2021-10-12 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-10-12_final
2021-10-12 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-10-12_final
2021-10-12 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2021-10-12_final
2021-10-12 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2021-10-12_final
2021-10-12 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2021-10-12_final
2021-10-12 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2021-10-12_final
2021-10-12 11:34:37	ga_s2bm_ard_3-2-1_51JTN_2021-10-12_final
2021-10-12 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2021-10-12_final
2021-10-12 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2021-10-12_final
2021-10-12 11:35:05	ga_s2bm_ard_3-2-1_51JTL_2021-10-12_final
2021-10-12 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2021-10-12_final
2021-10-12 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2021-10-12_final
2021-10-12 11:35:20	ga_s2bm_ard_3-2-1_51JTK_2021-10-12_final
2021-10-12 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2021-10-12_final
2021-10-12 11:35:27	ga_s2bm_ard_3-2-1_51JVJ_2021-10-12_final
2021-10-12 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2021-10-12_final
2021-10-12 11:35:38	ga_s2bm_ard_3-2-1_50JQP_2021-10-12_final
2021-10-12 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2021-10-12_final
2021-10-12 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2021-10-12_final
2021-10-12 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2021-10-12_final
2021-10-12 11:36:11	ga_s2bm_ard_3-2-1_51JVF_2021-10-12_final
2021-10-12 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2021-10-12_final
2021-10-12 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2021-10-12_final
2021-10-12 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2021-10-12_final
2021-10-12 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2021-10-12_final
2021-10-12 11:36:34	ga_s2bm_ard_3-2-1_51HVD_2021-10-12_final
2021-10-12 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-10-12_final
2021-10-12 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2021-10-12_final
2021-10-12 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2021-10-12_final
2021-10-12 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-10-12_final
2021-10-12 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-10-12_final
2021-10-12 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-10-12_final
2021-10-12 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-10-12_final
2021-10-12 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-10-12_final
2021-10-12 11:37:13	ga_s2bm_ard_3-2-1_51HUB_2021-10-12_final.stac-item
2021-10-12 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-10-12_final.stac-item
2021-10-12 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-10-12_final.stac-item
2021-10-12 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-10-12_final.stac-item
2021-10-13 09:23:41	ga_s2bm_ard_3-2-1_56JNT_2021-10-12_final
2021-10-13 09:24:25	ga_s2bm_ard_3-2-1_56JNQ_2021-10-12_final.stac-item
2021-10-13 09:24:29	ga_s2bm_ard_3-2-1_56JMQ_2021-10-12_final
2021-10-13 09:24:39	ga_s2bm_ard_3-2-1_56JNP_2021-10-12_final.stac-item
2021-10-13 09:24:42	ga_s2bm_ard_3-2-1_56JMP_2021-10-12_final
2021-10-13 09:24:54	ga_s2bm_ard_3-2-1_56JNN_2021-10-12_final
2021-10-13 09:24:57	ga_s2bm_ard_3-2-1_56JMN_2021-10-12_final
2021-10-13 09:25:23	ga_s2bm_ard_3-2-1_56JNL_2021-10-12_final
2021-10-13 09:25:26	ga_s2bm_ard_3-2-1_56JML_2021-10-12_final
2021-10-13 09:25:31	ga_s2bm_ard_3-2-1_56JLL_2021-10-12_final
2021-10-13 09:25:44	ga_s2bm_ard_3-2-1_56HLK_2021-10-12_final
2021-10-13 09:25:55	ga_s2bm_ard_3-2-1_56HMJ_2021-10-12_final
2021-10-13 09:25:58	ga_s2bm_ard_3-2-1_56HLJ_2021-10-12_final
2021-10-13 09:26:13	ga_s2bm_ard_3-2-1_56HLH_2021-10-12_final.stac-item
2021-10-13 09:26:28	ga_s2bm_ard_3-2-1_56HLG_2021-10-12_final.stac-item
2021-10-13 09:26:32	ga_s2bm_ard_3-2-1_56HKG_2021-10-12_final
2021-10-13 09:27:02	ga_s2bm_ard_3-2-1_55HGV_2021-10-12_final
2021-10-13 09:27:50	ga_s2bm_ard_3-2-1_55HFS_2021-10-12_final.stac-item
2021-10-13 09:28:02	ga_s2bm_ard_3-2-1_55GFR_2021-10-12_final
2021-10-13 09:28:17	ga_s2bm_ard_3-2-1_55GFQ_2021-10-12_final
2021-10-13 09:28:32	ga_s2bm_ard_3-2-1_55GFP_2021-10-12_final
2021-10-13 09:28:39	ga_s2bm_ard_3-2-1_55GEP_2021-10-12_final
2021-10-13 09:28:50	ga_s2bm_ard_3-2-1_55GEN_2021-10-12_final
2021-10-13 09:29:02	ga_s2bm_ard_3-2-1_55GEM_2021-10-12_final.stac-item
2021-10-13 11:01:13	ga_s2bm_ard_3-2-1_53LKE_2021-10-13_final
2021-10-13 11:01:14	ga_s2bm_ard_3-2-1_52LHK_2021-10-13_final
2021-10-13 11:01:16	ga_s2bm_ard_3-2-1_52LGK_2021-10-13_final
2021-10-13 11:01:20	ga_s2bm_ard_3-2-1_53LKE_2021-10-13_final
2021-10-13 11:01:21	ga_s2bm_ard_3-2-1_52LHK_2021-10-13_final
2021-10-13 11:01:23	ga_s2bm_ard_3-2-1_52LGK_2021-10-13_final
2021-10-13 11:01:39	ga_s2bm_ard_3-2-1_53LLC_2021-10-13_final
2021-10-13 11:01:43	ga_s2bm_ard_3-2-1_53LKC_2021-10-13_final
2021-10-13 11:01:44	ga_s2bm_ard_3-2-1_52LHH_2021-10-13_final
2021-10-13 11:01:47	ga_s2bm_ard_3-2-1_52LGH_2021-10-13_final
2021-10-13 11:01:51	ga_s2bm_ard_3-2-1_52LFH_2021-10-13_final
2021-10-13 11:01:57	ga_s2bm_ard_3-2-1_53KKB_2021-10-13_final
2021-10-13 11:01:58	ga_s2bm_ard_3-2-1_52KHG_2021-10-13_final
2021-10-13 11:02:02	ga_s2bm_ard_3-2-1_52KGG_2021-10-13_final
2021-10-13 11:02:41	ga_s2bm_ard_3-2-1_52KHD_2021-10-13_final
2021-10-13 11:02:56	ga_s2bm_ard_3-2-1_52KHC_2021-10-13_final
2021-10-13 11:03:50	ga_s2bm_ard_3-2-1_52KEV_2021-10-13_final
2021-10-13 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2021-10-13_final
2021-10-13 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2021-10-13_final
2021-10-13 11:04:19	ga_s2bm_ard_3-2-1_52JET_2021-10-13_final
2021-10-13 11:04:22	ga_s2bm_ard_3-2-1_52JDT_2021-10-13_final
2021-10-13 11:04:30	ga_s2bm_ard_3-2-1_52JFS_2021-10-13_final
2021-10-13 11:04:36	ga_s2bm_ard_3-2-1_52JGR_2021-10-13_final
2021-10-13 11:04:44	ga_s2bm_ard_3-2-1_52JFR_2021-10-13_final
2021-10-13 11:04:57	ga_s2bm_ard_3-2-1_52JCR_2021-10-13_final
2021-10-13 11:05:03	ga_s2bm_ard_3-2-1_52JEQ_2021-10-13_final
2021-10-13 11:05:06	ga_s2bm_ard_3-2-1_52JDQ_2021-10-13_final
2021-10-13 11:05:17	ga_s2bm_ard_3-2-1_52JEP_2021-10-13_final
2021-10-13 11:05:21	ga_s2bm_ard_3-2-1_52JDP_2021-10-13_final
2021-10-13 11:05:27	ga_s2bm_ard_3-2-1_52JFN_2021-10-13_final
2021-10-13 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2021-10-13_final
2021-10-13 11:05:35	ga_s2bm_ard_3-2-1_52JDN_2021-10-13_final
2021-10-13 11:05:39	ga_s2bm_ard_3-2-1_52JFM_2021-10-13_final
2021-10-13 11:05:53	ga_s2bm_ard_3-2-1_52JCM_2021-10-13_final
2021-10-13 11:06:00	ga_s2bm_ard_3-2-1_52JEL_2021-10-13_final
2021-10-13 11:06:04	ga_s2bm_ard_3-2-1_52JDL_2021-10-13_final
2021-10-13 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2021-10-13_final
2021-10-13 11:06:22	ga_s2bm_ard_3-2-1_52HCK_2021-10-13_final.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