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
2019-03-13 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-03-13_final
2019-03-13 11:57:17	ga_s2bm_ard_3-2-1_50HMG_2019-03-13_final.stac-item
2019-03-14 09:41:21	ga_s2bm_ard_3-2-1_56KMG_2019-03-14_final.stac-item
2019-03-14 09:41:24	ga_s2bm_ard_3-2-1_56KLG_2019-03-14_final.stac-item
2019-03-14 09:41:35	ga_s2bm_ard_3-2-1_56KMF_2019-03-14_final.stac-item
2019-03-14 09:41:39	ga_s2bm_ard_3-2-1_56KLF_2019-03-14_final
2019-03-14 09:42:04	ga_s2bm_ard_3-2-1_56KMD_2019-03-14_final.stac-item
2019-03-14 09:42:40	ga_s2bm_ard_3-2-1_56KKB_2019-03-14_final
2019-03-14 09:42:40	ga_s2bm_ard_3-2-1_55KHS_2019-03-14_final
2019-03-14 09:42:44	ga_s2bm_ard_3-2-1_55KGS_2019-03-14_final
2019-03-14 09:42:51	ga_s2bm_ard_3-2-1_56KLA_2019-03-14_final
2019-03-14 09:42:55	ga_s2bm_ard_3-2-1_56KKA_2019-03-14_final
2019-03-14 09:42:58	ga_s2bm_ard_3-2-1_55KGR_2019-03-14_final
2019-03-14 09:43:06	ga_s2bm_ard_3-2-1_56KLV_2019-03-14_final
2019-03-14 09:43:09	ga_s2bm_ard_3-2-1_56KKV_2019-03-14_final
2019-03-14 09:43:24	ga_s2bm_ard_3-2-1_55KHP_2019-03-14_final
2019-03-14 09:43:35	ga_s2bm_ard_3-2-1_56JLT_2019-03-14_final
2019-03-14 09:43:45	ga_s2bm_ard_3-2-1_55JFN_2019-03-14_final
2019-03-14 09:43:56	ga_s2bm_ard_3-2-1_55JGM_2019-03-14_final
2019-03-14 09:44:36	ga_s2bm_ard_3-2-1_56JKP_2019-03-14_final
2019-03-14 09:44:40	ga_s2bm_ard_3-2-1_55JGJ_2019-03-14_final
2019-03-14 09:44:43	ga_s2bm_ard_3-2-1_55JFJ_2019-03-14_final
2019-03-14 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2019-03-14_final
2019-03-14 09:45:16	ga_s2bm_ard_3-2-1_55JEG_2019-03-14_final
2019-03-14 09:45:30	ga_s2bm_ard_3-2-1_55JEF_2019-03-14_final
2019-03-14 09:45:34	ga_s2bm_ard_3-2-1_55JDF_2019-03-14_final
2019-03-14 09:45:52	ga_s2bm_ard_3-2-1_55HGD_2019-03-14_final
2019-03-14 09:46:14	ga_s2bm_ard_3-2-1_55HEC_2019-03-14_final
2019-03-14 09:46:14	ga_s2bm_ard_3-2-1_55HGB_2019-03-14_final
2019-03-14 09:46:17	ga_s2bm_ard_3-2-1_55HDC_2019-03-14_final
2019-03-14 09:46:28	ga_s2bm_ard_3-2-1_55HEB_2019-03-14_final
2019-03-14 09:46:32	ga_s2bm_ard_3-2-1_55HDB_2019-03-14_final
2019-03-14 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2019-03-14_final
2019-03-14 09:46:46	ga_s2bm_ard_3-2-1_55HDA_2019-03-14_final
2019-03-14 09:46:53	ga_s2bm_ard_3-2-1_55HFV_2019-03-14_final
2019-03-14 09:46:57	ga_s2bm_ard_3-2-1_55HEV_2019-03-14_final
2019-03-14 09:47:01	ga_s2bm_ard_3-2-1_55HDV_2019-03-14_final
2019-03-14 09:47:04	ga_s2bm_ard_3-2-1_55HCV_2019-03-14_final
2019-03-14 09:47:41	ga_s2bm_ard_3-2-1_55HES_2019-03-14_final
2019-03-14 09:47:44	ga_s2bm_ard_3-2-1_55HDS_2019-03-14_final
2019-03-14 09:47:48	ga_s2bm_ard_3-2-1_55HCS_2019-03-14_final
2019-03-14 09:47:51	ga_s2bm_ard_3-2-1_55HBS_2019-03-14_final
2019-03-14 09:47:52	ga_s2bm_ard_3-2-1_54HYB_2019-03-14_final
2019-03-14 09:48:19	ga_s2bm_ard_3-2-1_55GEP_2019-03-14_final
2019-03-14 09:48:28	ga_s2bm_ard_3-2-1_55GDP_2019-03-14_final
2019-03-14 09:48:32	ga_s2bm_ard_3-2-1_55GCP_2019-03-14_final
2019-03-14 09:48:42	ga_s2bm_ard_3-2-1_55GDN_2019-03-14_final
2019-03-14 09:48:46	ga_s2bm_ard_3-2-1_55GCN_2019-03-14_final
2019-03-14 09:48:55	ga_s2bm_ard_3-2-1_55GDM_2019-03-14_final.stac-item
2019-03-14 09:48:57	ga_s2bm_ard_3-2-1_55GCM_2019-03-14_final.stac-item
2019-03-14 11:21:05	ga_s2bm_ard_3-2-1_52LEK_2019-03-14_final.stac-item
2019-03-14 11:21:18	ga_s2bm_ard_3-2-1_52LCK_2019-03-14_final.stac-item
2019-03-14 11:21:21	ga_s2bm_ard_3-2-1_52LBK_2019-03-14_final
2019-03-14 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2019-03-14_final
2019-03-14 11:21:47	ga_s2bm_ard_3-2-1_52LCH_2019-03-14_final
2019-03-14 11:21:50	ga_s2bm_ard_3-2-1_52LBH_2019-03-14_final
2019-03-14 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2019-03-14_final
2019-03-14 11:21:56	ga_s2bm_ard_3-2-1_51LYC_2019-03-14_final
2019-03-14 11:21:58	ga_s2bm_ard_3-2-1_52KDG_2019-03-14_final
2019-03-14 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2019-03-14_final
2019-03-14 11:22:10	ga_s2bm_ard_3-2-1_52KDF_2019-03-14_final
2019-03-14 11:22:16	ga_s2bm_ard_3-2-1_52KCF_2019-03-14_final
2019-03-14 11:22:34	ga_s2bm_ard_3-2-1_52KBE_2019-03-14_final
2019-03-14 11:22:35	ga_s2bm_ard_3-2-1_51KZV_2019-03-14_final
2019-03-14 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2019-03-14_final
2019-03-14 11:22:45	ga_s2bm_ard_3-2-1_52KCD_2019-03-14_final
2019-03-14 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2019-03-14_final
2019-03-14 11:23:00	ga_s2bm_ard_3-2-1_52KCC_2019-03-14_final
2019-03-14 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2019-03-14_final
2019-03-14 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2019-03-14_final
2019-03-14 11:23:13	ga_s2bm_ard_3-2-1_52KCB_2019-03-14_final
2019-03-14 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2019-03-14_final
2019-03-14 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2019-03-14_final
2019-03-14 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2019-03-14_final
2019-03-14 11:23:25	ga_s2bm_ard_3-2-1_52KCA_2019-03-14_final
2019-03-14 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2019-03-14_final
2019-03-14 11:23:32	ga_s2bm_ard_3-2-1_52KBA_2019-03-14_final
2019-03-14 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2019-03-14_final
2019-03-14 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2019-03-14_final
2019-03-14 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2019-03-14_final
2019-03-14 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2019-03-14_final
2019-03-14 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2019-03-14_final
2019-03-14 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2019-03-14_final
2019-03-14 11:24:01	ga_s2bm_ard_3-2-1_51KZP_2019-03-14_final
2019-03-14 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2019-03-14_final
2019-03-14 11:24:20	ga_s2bm_ard_3-2-1_51JYN_2019-03-14_final
2019-03-14 11:24:23	ga_s2bm_ard_3-2-1_51JXN_2019-03-14_final
2019-03-14 11:24:27	ga_s2bm_ard_3-2-1_51JWN_2019-03-14_final
2019-03-14 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2019-03-14_final
2019-03-14 11:24:34	ga_s2bm_ard_3-2-1_51JYM_2019-03-14_final
2019-03-14 11:25:18	ga_s2bm_ard_3-2-1_51JYJ_2019-03-14_final
2019-03-14 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2019-03-14_final
2019-03-14 11:25:54	ga_s2bm_ard_3-2-1_51JWG_2019-03-14_final
2019-03-14 11:25:57	ga_s2bm_ard_3-2-1_51JVG_2019-03-14_final
2019-03-14 11:26:08	ga_s2bm_ard_3-2-1_51JWF_2019-03-14_final
2019-03-14 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2019-03-14_final
2019-03-14 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2019-03-14_final.stac-item
2019-03-14 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-03-14_final
2019-03-14 11:27:07	ga_s2bm_ard_3-2-1_51HVB_2019-03-14_final.stac-item
2019-03-14 11:27:09	ga_s2bm_ard_3-2-1_51HUB_2019-03-14_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