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
2019-08-30 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2019-08-30_final
2019-08-30 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2019-08-30_final.stac-item
2019-08-30 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2019-08-30_final.stac-item
2019-08-31 09:41:48	ga_s2bm_ard_3-2-1_56KKF_2019-08-31_final
2019-08-31 09:43:01	ga_s2bm_ard_3-2-1_56KKA_2019-08-31_final
2019-08-31 09:43:05	ga_s2bm_ard_3-2-1_55KGR_2019-08-31_final
2019-08-31 09:43:16	ga_s2bm_ard_3-2-1_56KKV_2019-08-31_final
2019-08-31 09:43:19	ga_s2bm_ard_3-2-1_55KGQ_2019-08-31_final
2019-08-31 09:43:27	ga_s2bm_ard_3-2-1_56KLU_2019-08-31_final
2019-08-31 09:43:30	ga_s2bm_ard_3-2-1_56KKU_2019-08-31_final
2019-08-31 09:43:34	ga_s2bm_ard_3-2-1_55KGP_2019-08-31_final
2019-08-31 09:43:38	ga_s2bm_ard_3-2-1_55KFP_2019-08-31_final
2019-08-31 09:43:59	ga_s2bm_ard_3-2-1_56JKS_2019-08-31_final
2019-08-31 09:44:09	ga_s2bm_ard_3-2-1_56JLR_2019-08-31_final
2019-08-31 09:44:21	ga_s2bm_ard_3-2-1_55JFL_2019-08-31_final
2019-08-31 09:44:29	ga_s2bm_ard_3-2-1_55JEL_2019-08-31_final
2019-08-31 09:44:32	ga_s2bm_ard_3-2-1_55JEK_2019-08-31_final
2019-08-31 09:44:40	ga_s2bm_ard_3-2-1_55JEK_2019-08-31_final
2019-08-31 09:44:50	ga_s2bm_ard_3-2-1_55JFJ_2019-08-31_final
2019-08-31 09:44:53	ga_s2bm_ard_3-2-1_55JEJ_2019-08-31_final
2019-08-31 09:44:58	ga_s2bm_ard_3-2-1_56JKN_2019-08-31_final
2019-08-31 09:45:01	ga_s2bm_ard_3-2-1_55JGH_2019-08-31_final
2019-08-31 09:45:22	ga_s2bm_ard_3-2-1_55JEG_2019-08-31_final
2019-08-31 09:45:30	ga_s2bm_ard_3-2-1_55JDG_2019-08-31_final
2019-08-31 09:45:33	ga_s2bm_ard_3-2-1_55JFF_2019-08-31_final
2019-08-31 09:45:37	ga_s2bm_ard_3-2-1_55JEF_2019-08-31_final
2019-08-31 09:45:41	ga_s2bm_ard_3-2-1_55JDF_2019-08-31_final
2019-08-31 09:45:51	ga_s2bm_ard_3-2-1_55HEE_2019-08-31_final
2019-08-31 09:45:54	ga_s2bm_ard_3-2-1_55HDE_2019-08-31_final
2019-08-31 09:45:58	ga_s2bm_ard_3-2-1_55HGD_2019-08-31_final
2019-08-31 09:46:11	ga_s2bm_ard_3-2-1_55HGC_2019-08-31_final
2019-08-31 09:46:20	ga_s2bm_ard_3-2-1_55HEC_2019-08-31_final
2019-08-31 09:46:24	ga_s2bm_ard_3-2-1_55HDC_2019-08-31_final
2019-08-31 09:46:31	ga_s2bm_ard_3-2-1_55HFB_2019-08-31_final
2019-08-31 09:46:35	ga_s2bm_ard_3-2-1_55HEB_2019-08-31_final
2019-08-31 09:46:38	ga_s2bm_ard_3-2-1_55HDB_2019-08-31_final
2019-08-31 09:46:42	ga_s2bm_ard_3-2-1_55HCB_2019-08-31_final
2019-08-31 09:46:45	ga_s2bm_ard_3-2-1_55HFA_2019-08-31_final
2019-08-31 09:46:56	ga_s2bm_ard_3-2-1_55HCA_2019-08-31_final
2019-08-31 09:47:00	ga_s2bm_ard_3-2-1_55HFV_2019-08-31_final
2019-08-31 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2019-08-31_final
2019-08-31 09:47:07	ga_s2bm_ard_3-2-1_55HDV_2019-08-31_final
2019-08-31 09:47:11	ga_s2bm_ard_3-2-1_55HCV_2019-08-31_final
2019-08-31 09:47:13	ga_s2bm_ard_3-2-1_55HFU_2019-08-31_final.stac-item
2019-08-31 09:47:18	ga_s2bm_ard_3-2-1_55HEU_2019-08-31_final
2019-08-31 09:47:22	ga_s2bm_ard_3-2-1_55HDU_2019-08-31_final
2019-08-31 09:47:25	ga_s2bm_ard_3-2-1_55HCU_2019-08-31_final
2019-08-31 09:47:33	ga_s2bm_ard_3-2-1_55HBU_2019-08-31_final
2019-08-31 09:47:54	ga_s2bm_ard_3-2-1_55HCS_2019-08-31_final
2019-08-31 09:47:57	ga_s2bm_ard_3-2-1_55HBS_2019-08-31_final
2019-08-31 09:47:59	ga_s2bm_ard_3-2-1_54HYB_2019-08-31_final
2019-08-31 09:48:02	ga_s2bm_ard_3-2-1_55GER_2019-08-31_final
2019-08-31 09:48:05	ga_s2bm_ard_3-2-1_55GDR_2019-08-31_final
2019-08-31 09:48:09	ga_s2bm_ard_3-2-1_55GCR_2019-08-31_final
2019-08-31 09:48:12	ga_s2bm_ard_3-2-1_55GBR_2019-08-31_final
2019-08-31 09:48:12	ga_s2bm_ard_3-2-1_54GYA_2019-08-31_final
2019-08-31 09:48:15	ga_s2bm_ard_3-2-1_55GEQ_2019-08-31_final
2019-08-31 09:48:20	ga_s2bm_ard_3-2-1_55GDQ_2019-08-31_final
2019-08-31 09:48:23	ga_s2bm_ard_3-2-1_55GCQ_2019-08-31_final
2019-08-31 09:48:26	ga_s2bm_ard_3-2-1_55GEP_2019-08-31_final
2019-08-31 09:48:27	ga_s2bm_ard_3-2-1_55GBQ_2019-08-31_final.stac-item
2019-08-31 09:48:27	ga_s2bm_ard_3-2-1_54GYV_2019-08-31_final.stac-item
2019-08-31 09:48:34	ga_s2bm_ard_3-2-1_55GDP_2019-08-31_final
2019-08-31 09:48:38	ga_s2bm_ard_3-2-1_55GCP_2019-08-31_final
2019-08-31 11:21:25	ga_s2bm_ard_3-2-1_52LCK_2019-08-31_final.stac-item
2019-08-31 11:22:26	ga_s2bm_ard_3-2-1_52KBF_2019-08-31_final
2019-08-31 11:22:30	ga_s2bm_ard_3-2-1_51KYA_2019-08-31_final
2019-08-31 11:23:06	ga_s2bm_ard_3-2-1_52KCC_2019-08-31_final
2019-08-31 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2019-08-31_final
2019-08-31 11:23:38	ga_s2bm_ard_3-2-1_52KBA_2019-08-31_final
2019-08-31 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2019-08-31_final
2019-08-31 11:23:53	ga_s2bm_ard_3-2-1_52KBV_2019-08-31_final
2019-08-31 11:23:57	ga_s2bm_ard_3-2-1_51KYQ_2019-08-31_final
2019-08-31 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2019-08-31_final
2019-08-31 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2019-08-31_final
2019-08-31 11:24:15	ga_s2bm_ard_3-2-1_51KXP_2019-08-31_final
2019-08-31 11:24:36	ga_s2bm_ard_3-2-1_52JBS_2019-08-31_final
2019-08-31 11:24:48	ga_s2bm_ard_3-2-1_51JWM_2019-08-31_final
2019-08-31 11:24:59	ga_s2bm_ard_3-2-1_51JXL_2019-08-31_final
2019-08-31 11:25:02	ga_s2bm_ard_3-2-1_51JWL_2019-08-31_final
2019-08-31 11:25:07	ga_s2bm_ard_3-2-1_51JVL_2019-08-31_final
2019-08-31 11:25:17	ga_s2bm_ard_3-2-1_51JWK_2019-08-31_final
2019-08-31 11:25:20	ga_s2bm_ard_3-2-1_51JVK_2019-08-31_final
2019-08-31 11:25:28	ga_s2bm_ard_3-2-1_51JXJ_2019-08-31_final
2019-08-31 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2019-08-31_final
2019-08-31 11:25:34	ga_s2bm_ard_3-2-1_51JVJ_2019-08-31_final
2019-08-31 11:25:38	ga_s2bm_ard_3-2-1_51JYH_2019-08-31_final
2019-08-31 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2019-08-31_final
2019-08-31 11:26:04	ga_s2bm_ard_3-2-1_51JVG_2019-08-31_final
2019-08-31 11:26:11	ga_s2bm_ard_3-2-1_51JXF_2019-08-31_final
2019-08-31 11:26:15	ga_s2bm_ard_3-2-1_51JWF_2019-08-31_final
2019-08-31 11:26:18	ga_s2bm_ard_3-2-1_51JVF_2019-08-31_final
2019-08-31 11:26:21	ga_s2bm_ard_3-2-1_51JUF_2019-08-31_final
2019-08-31 11:26:29	ga_s2bm_ard_3-2-1_51HWE_2019-08-31_final
2019-08-31 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2019-08-31_final
2019-08-31 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2019-08-31_final.stac-item
2019-08-31 11:26:58	ga_s2bm_ard_3-2-1_51HWC_2019-08-31_final.stac-item
2019-08-31 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2019-08-31_final
2019-08-31 11:27:11	ga_s2bm_ard_3-2-1_51HTC_2019-08-31_final
2019-08-31 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2019-08-31_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