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
2019-05-26 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-05-26_final
2019-05-26 11:33:21	ga_s2bm_ard_3-2-1_51KWT_2019-05-26_final
2019-05-26 11:33:25	ga_s2bm_ard_3-2-1_51KVT_2019-05-26_final
2019-05-26 11:33:31	ga_s2bm_ard_3-2-1_51KUT_2019-05-26_final
2019-05-26 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-05-26_final
2019-05-26 11:33:39	ga_s2bm_ard_3-2-1_51KVS_2019-05-26_final
2019-05-26 11:33:47	ga_s2bm_ard_3-2-1_51KXR_2019-05-26_final
2019-05-26 11:33:56	ga_s2bm_ard_3-2-1_51KUR_2019-05-26_final
2019-05-26 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-05-26_final
2019-05-26 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-05-26_final
2019-05-26 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-05-26_final
2019-05-26 11:34:11	ga_s2bm_ard_3-2-1_51KUQ_2019-05-26_final
2019-05-26 11:34:19	ga_s2bm_ard_3-2-1_51KWP_2019-05-26_final
2019-05-26 11:34:23	ga_s2bm_ard_3-2-1_51KVP_2019-05-26_final
2019-05-26 11:34:43	ga_s2bm_ard_3-2-1_50JRT_2019-05-26_final
2019-05-26 11:34:48	ga_s2bm_ard_3-2-1_50JRT_2019-05-26_final
2019-05-26 11:34:58	ga_s2bm_ard_3-2-1_50JRS_2019-05-26_final
2019-05-26 11:34:58	ga_s2bm_ard_3-2-1_51JTM_2019-05-26_final
2019-05-26 11:35:03	ga_s2bm_ard_3-2-1_51JWL_2019-05-26_final
2019-05-26 11:35:06	ga_s2bm_ard_3-2-1_51JVL_2019-05-26_final
2019-05-26 11:35:13	ga_s2bm_ard_3-2-1_51JTL_2019-05-26_final
2019-05-26 11:35:27	ga_s2bm_ard_3-2-1_51JTK_2019-05-26_final
2019-05-26 11:35:50	ga_s2bm_ard_3-2-1_51JVH_2019-05-26_final
2019-05-26 11:35:53	ga_s2bm_ard_3-2-1_51JUH_2019-05-26_final
2019-05-26 11:35:56	ga_s2bm_ard_3-2-1_51JTH_2019-05-26_final
2019-05-26 11:35:59	ga_s2bm_ard_3-2-1_50JQN_2019-05-26_final
2019-05-26 11:36:08	ga_s2bm_ard_3-2-1_51JUG_2019-05-26_final
2019-05-26 11:36:11	ga_s2bm_ard_3-2-1_51JTG_2019-05-26_final
2019-05-26 11:36:22	ga_s2bm_ard_3-2-1_51JUF_2019-05-26_final
2019-05-26 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-26_final
2019-05-26 11:36:32	ga_s2bm_ard_3-2-1_51HVE_2019-05-26_final
2019-05-26 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-05-26_final
2019-05-26 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-05-26_final
2019-05-26 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-05-26_final
2019-05-26 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-26_final
2019-05-26 11:37:06	ga_s2bm_ard_3-2-1_51HUC_2019-05-26_final
2019-05-26 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-26_final
2019-05-26 11:37:21	ga_s2bm_ard_3-2-1_51HUB_2019-05-26_final.stac-item
2019-05-26 11:37:24	ga_s2bm_ard_3-2-1_51HTB_2019-05-26_final.stac-item
2019-05-26 11:37:26	ga_s2bm_ard_3-2-1_50HQG_2019-05-26_final.stac-item
2019-05-26 11:37:35	ga_s2bm_ard_3-2-1_50HNG_2019-05-26_final.stac-item
2019-05-27 09:24:03	ga_s2bm_ard_3-2-1_56JNS_2019-05-26_final
2019-05-27 09:24:18	ga_s2bm_ard_3-2-1_56JNR_2019-05-26_final.stac-item
2019-05-27 09:25:01	ga_s2bm_ard_3-2-1_56JNN_2019-05-26_final
2019-05-27 09:25:04	ga_s2bm_ard_3-2-1_56JMN_2019-05-26_final
2019-05-27 09:25:34	ga_s2bm_ard_3-2-1_56JML_2019-05-26_final
2019-05-27 09:25:38	ga_s2bm_ard_3-2-1_56JLL_2019-05-26_final
2019-05-27 09:25:48	ga_s2bm_ard_3-2-1_56HMK_2019-05-26_final
2019-05-27 09:26:06	ga_s2bm_ard_3-2-1_56HLJ_2019-05-26_final
2019-05-27 09:26:13	ga_s2bm_ard_3-2-1_56HLJ_2019-05-26_final
2019-05-27 09:26:13	ga_s2bm_ard_3-2-1_56HLH_2019-05-26_final.stac-item
2019-05-27 09:26:21	ga_s2bm_ard_3-2-1_56HLH_2019-05-26_final.stac-item
2019-05-27 09:26:35	ga_s2bm_ard_3-2-1_56HLG_2019-05-26_final.stac-item
2019-05-27 09:26:40	ga_s2bm_ard_3-2-1_56HKG_2019-05-26_final
2019-05-27 09:26:53	ga_s2bm_ard_3-2-1_56HKF_2019-05-26_final
2019-05-27 09:27:58	ga_s2bm_ard_3-2-1_55HFS_2019-05-26_final.stac-item
2019-05-27 09:28:39	ga_s2bm_ard_3-2-1_55GFP_2019-05-26_final
2019-05-27 09:28:46	ga_s2bm_ard_3-2-1_55GEP_2019-05-26_final
2019-05-27 11:00:22	ga_s2bm_ard_3-2-1_53LKJ_2019-05-27_final.stac-item
2019-05-27 11:00:31	ga_s2bm_ard_3-2-1_53LMH_2019-05-27_final.stac-item
2019-05-27 11:00:34	ga_s2bm_ard_3-2-1_53LLH_2019-05-27_final.stac-item
2019-05-27 11:00:37	ga_s2bm_ard_3-2-1_53LKH_2019-05-27_final
2019-05-27 11:00:39	ga_s2bm_ard_3-2-1_52LHN_2019-05-27_final
2019-05-27 11:00:45	ga_s2bm_ard_3-2-1_52LGN_2019-05-27_final
2019-05-27 11:00:48	ga_s2bm_ard_3-2-1_53LLG_2019-05-27_final
2019-05-27 11:00:52	ga_s2bm_ard_3-2-1_53LKG_2019-05-27_final
2019-05-27 11:00:53	ga_s2bm_ard_3-2-1_52LHM_2019-05-27_final
2019-05-27 11:00:57	ga_s2bm_ard_3-2-1_52LGM_2019-05-27_final
2019-05-27 11:01:01	ga_s2bm_ard_3-2-1_53LLF_2019-05-27_final
2019-05-27 11:01:08	ga_s2bm_ard_3-2-1_53LLF_2019-05-27_final
2019-05-27 11:01:17	ga_s2bm_ard_3-2-1_53LLE_2019-05-27_final
2019-05-27 11:01:32	ga_s2bm_ard_3-2-1_53LLD_2019-05-27_final
2019-05-27 11:02:33	ga_s2bm_ard_3-2-1_53KKV_2019-05-27_final
2019-05-27 11:02:38	ga_s2bm_ard_3-2-1_52KGE_2019-05-27_final
2019-05-27 11:03:03	ga_s2bm_ard_3-2-1_52KHC_2019-05-27_final
2019-05-27 11:03:10	ga_s2bm_ard_3-2-1_52KFC_2019-05-27_final
2019-05-27 11:03:14	ga_s2bm_ard_3-2-1_52KEC_2019-05-27_final
2019-05-27 11:03:16	ga_s2bm_ard_3-2-1_53KKS_2019-05-27_final
2019-05-27 11:03:18	ga_s2bm_ard_3-2-1_52KHB_2019-05-27_final
2019-05-27 11:03:28	ga_s2bm_ard_3-2-1_52KEB_2019-05-27_final
2019-05-27 11:03:31	ga_s2bm_ard_3-2-1_52KHA_2019-05-27_final
2019-05-27 11:03:36	ga_s2bm_ard_3-2-1_52KGA_2019-05-27_final
2019-05-27 11:03:39	ga_s2bm_ard_3-2-1_52KFA_2019-05-27_final
2019-05-27 11:03:54	ga_s2bm_ard_3-2-1_52KFV_2019-05-27_final
2019-05-27 11:03:57	ga_s2bm_ard_3-2-1_52KEV_2019-05-27_final
2019-05-27 11:04:02	ga_s2bm_ard_3-2-1_52KDV_2019-05-27_final
2019-05-27 11:04:05	ga_s2bm_ard_3-2-1_52KGU_2019-05-27_final
2019-05-27 11:04:12	ga_s2bm_ard_3-2-1_52KEU_2019-05-27_final
2019-05-27 11:04:15	ga_s2bm_ard_3-2-1_52KDU_2019-05-27_final
2019-05-27 11:04:44	ga_s2bm_ard_3-2-1_52JGR_2019-05-27_final
2019-05-27 11:04:52	ga_s2bm_ard_3-2-1_52JFR_2019-05-27_final
2019-05-27 11:04:56	ga_s2bm_ard_3-2-1_52JER_2019-05-27_final
2019-05-27 11:04:59	ga_s2bm_ard_3-2-1_52JDR_2019-05-27_final
2019-05-27 11:05:39	ga_s2bm_ard_3-2-1_52JEN_2019-05-27_final
2019-05-27 11:05:42	ga_s2bm_ard_3-2-1_52JDN_2019-05-27_final
2019-05-27 11:05:46	ga_s2bm_ard_3-2-1_52JCN_2019-05-27_final
2019-05-27 11:06:00	ga_s2bm_ard_3-2-1_52JCM_2019-05-27_final
2019-05-27 11:06:07	ga_s2bm_ard_3-2-1_52JBM_2019-05-27_final
2019-05-27 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-05-27_final
2019-05-27 11:06:18	ga_s2bm_ard_3-2-1_52JBL_2019-05-27_final

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