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
2018-11-17 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2018-11-17_final
2018-11-17 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2018-11-17_final
2018-11-17 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2018-11-17_final
2018-11-17 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2018-11-17_final
2018-11-17 11:34:37	ga_s2bm_ard_3-2-1_51JWM_2018-11-17_final
2018-11-17 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2018-11-17_final
2018-11-17 11:34:44	ga_s2bm_ard_3-2-1_51JUM_2018-11-17_final
2018-11-17 11:34:46	ga_s2bm_ard_3-2-1_51JTM_2018-11-17_final
2018-11-17 11:34:55	ga_s2bm_ard_3-2-1_51JVL_2018-11-17_final
2018-11-17 11:34:58	ga_s2bm_ard_3-2-1_51JUL_2018-11-17_final
2018-11-17 11:35:01	ga_s2bm_ard_3-2-1_51JTL_2018-11-17_final
2018-11-17 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2018-11-17_final
2018-11-17 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2018-11-17_final
2018-11-17 11:35:16	ga_s2bm_ard_3-2-1_51JTK_2018-11-17_final
2018-11-17 11:35:16	ga_s2bm_ard_3-2-1_51JWJ_2018-11-17_final
2018-11-17 11:35:22	ga_s2bm_ard_3-2-1_51JWJ_2018-11-17_final
2018-11-17 11:35:24	ga_s2bm_ard_3-2-1_51JTK_2018-11-17_final
2018-11-17 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2018-11-17_final
2018-11-17 11:36:00	ga_s2bm_ard_3-2-1_51JTG_2018-11-17_final
2018-11-17 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2018-11-17_final
2018-11-17 11:36:14	ga_s2bm_ard_3-2-1_51JTF_2018-11-17_final
2018-11-17 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2018-11-17_final
2018-11-17 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2018-11-17_final
2018-11-17 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2018-11-17_final
2018-11-17 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2018-11-17_final
2018-11-17 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2018-11-17_final
2018-11-17 11:37:09	ga_s2bm_ard_3-2-1_51HUB_2018-11-17_final.stac-item
2018-11-17 11:37:13	ga_s2bm_ard_3-2-1_51HTB_2018-11-17_final.stac-item
2018-11-17 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2018-11-17_final.stac-item
2018-11-17 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2018-11-17_final.stac-item
2018-11-18 09:23:37	ga_s2bm_ard_3-2-1_56JNT_2018-11-17_final
2018-11-18 09:23:52	ga_s2bm_ard_3-2-1_56JNS_2018-11-17_final
2018-11-18 09:24:21	ga_s2bm_ard_3-2-1_56JNQ_2018-11-17_final.stac-item
2018-11-18 09:24:35	ga_s2bm_ard_3-2-1_56JNP_2018-11-17_final.stac-item
2018-11-18 09:25:19	ga_s2bm_ard_3-2-1_56JNL_2018-11-17_final
2018-11-18 09:25:22	ga_s2bm_ard_3-2-1_56JML_2018-11-17_final
2018-11-18 09:26:24	ga_s2bm_ard_3-2-1_56HLG_2018-11-17_final.stac-item
2018-11-18 09:26:41	ga_s2bm_ard_3-2-1_56HKF_2018-11-17_final
2018-11-18 09:27:11	ga_s2bm_ard_3-2-1_55HGU_2018-11-17_final.stac-item
2018-11-18 09:27:58	ga_s2bm_ard_3-2-1_55GFR_2018-11-17_final
2018-11-18 09:28:13	ga_s2bm_ard_3-2-1_55GFQ_2018-11-17_final
2018-11-18 11:00:11	ga_s2bm_ard_3-2-1_53LKJ_2018-11-18_final.stac-item
2018-11-18 11:00:27	ga_s2bm_ard_3-2-1_52LHN_2018-11-18_final
2018-11-18 11:00:33	ga_s2bm_ard_3-2-1_53LMG_2018-11-18_final
2018-11-18 11:00:34	ga_s2bm_ard_3-2-1_52LGN_2018-11-18_final
2018-11-18 11:00:37	ga_s2bm_ard_3-2-1_53LLG_2018-11-18_final
2018-11-18 11:00:40	ga_s2bm_ard_3-2-1_53LKG_2018-11-18_final
2018-11-18 11:00:42	ga_s2bm_ard_3-2-1_52LHM_2018-11-18_final
2018-11-18 11:00:45	ga_s2bm_ard_3-2-1_53LMF_2018-11-18_final
2018-11-18 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2018-11-18_final
2018-11-18 11:00:56	ga_s2bm_ard_3-2-1_52LHL_2018-11-18_final
2018-11-18 11:00:59	ga_s2bm_ard_3-2-1_52LGL_2018-11-18_final
2018-11-18 11:01:06	ga_s2bm_ard_3-2-1_53LLE_2018-11-18_final
2018-11-18 11:01:14	ga_s2bm_ard_3-2-1_52LGK_2018-11-18_final
2018-11-18 11:01:24	ga_s2bm_ard_3-2-1_53LKD_2018-11-18_final
2018-11-18 11:01:25	ga_s2bm_ard_3-2-1_52LHJ_2018-11-18_final
2018-11-18 11:01:29	ga_s2bm_ard_3-2-1_52LGJ_2018-11-18_final
2018-11-18 11:01:53	ga_s2bm_ard_3-2-1_53KKB_2018-11-18_final
2018-11-18 11:01:54	ga_s2bm_ard_3-2-1_52KHG_2018-11-18_final
2018-11-18 11:01:58	ga_s2bm_ard_3-2-1_52KGG_2018-11-18_final
2018-11-18 11:02:07	ga_s2bm_ard_3-2-1_53KKA_2018-11-18_final
2018-11-18 11:02:12	ga_s2bm_ard_3-2-1_52KGF_2018-11-18_final
2018-11-18 11:02:15	ga_s2bm_ard_3-2-1_52KFF_2018-11-18_final
2018-11-18 11:02:37	ga_s2bm_ard_3-2-1_52KHD_2018-11-18_final
2018-11-18 11:02:41	ga_s2bm_ard_3-2-1_52KGD_2018-11-18_final
2018-11-18 11:02:51	ga_s2bm_ard_3-2-1_53KKT_2018-11-18_final
2018-11-18 11:02:52	ga_s2bm_ard_3-2-1_52KHC_2018-11-18_final
2018-11-18 11:02:56	ga_s2bm_ard_3-2-1_52KGC_2018-11-18_final
2018-11-18 11:03:05	ga_s2bm_ard_3-2-1_53KKS_2018-11-18_final
2018-11-18 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2018-11-18_final
2018-11-18 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2018-11-18_final
2018-11-18 11:03:16	ga_s2bm_ard_3-2-1_53KKR_2018-11-18_final
2018-11-18 11:03:17	ga_s2bm_ard_3-2-1_52KEB_2018-11-18_final
2018-11-18 11:03:24	ga_s2bm_ard_3-2-1_52KGA_2018-11-18_final
2018-11-18 11:03:27	ga_s2bm_ard_3-2-1_52KEA_2018-11-18_final
2018-11-18 11:03:29	ga_s2bm_ard_3-2-1_52KHV_2018-11-18_final
2018-11-18 11:03:30	ga_s2bm_ard_3-2-1_52KHV_2018-11-18_final
2018-11-18 11:03:30	ga_s2bm_ard_3-2-1_52KGV_2018-11-18_final
2018-11-18 11:03:31	ga_s2bm_ard_3-2-1_52KGA_2018-11-18_final
2018-11-18 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2018-11-18_final
2018-11-18 11:03:39	ga_s2bm_ard_3-2-1_52KGV_2018-11-18_final
2018-11-18 11:03:53	ga_s2bm_ard_3-2-1_52KGU_2018-11-18_final
2018-11-18 11:03:57	ga_s2bm_ard_3-2-1_52KFU_2018-11-18_final
2018-11-18 11:04:08	ga_s2bm_ard_3-2-1_52JGT_2018-11-18_final
2018-11-18 11:04:12	ga_s2bm_ard_3-2-1_52JFT_2018-11-18_final
2018-11-18 11:04:21	ga_s2bm_ard_3-2-1_52JGS_2018-11-18_final
2018-11-18 11:04:26	ga_s2bm_ard_3-2-1_52JFS_2018-11-18_final
2018-11-18 11:04:29	ga_s2bm_ard_3-2-1_52JES_2018-11-18_final
2018-11-18 11:04:33	ga_s2bm_ard_3-2-1_52JDS_2018-11-18_final
2018-11-18 11:04:40	ga_s2bm_ard_3-2-1_52JFR_2018-11-18_final
2018-11-18 11:04:53	ga_s2bm_ard_3-2-1_52JCR_2018-11-18_final
2018-11-18 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2018-11-18_final
2018-11-18 11:05:02	ga_s2bm_ard_3-2-1_52JDQ_2018-11-18_final
2018-11-18 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2018-11-18_final
2018-11-18 11:05:17	ga_s2bm_ard_3-2-1_52JDP_2018-11-18_final
2018-11-18 11:05:23	ga_s2bm_ard_3-2-1_52JFN_2018-11-18_final
2018-11-18 11:05:34	ga_s2bm_ard_3-2-1_52JCN_2018-11-18_final
2018-11-18 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2018-11-18_final
2018-11-18 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2018-11-18_final
2018-11-18 11:06:21	ga_s2bm_ard_3-2-1_52HBK_2018-11-18_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