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
2019-03-04 09:46:29	ga_s2bm_ard_3-2-1_55HEB_2019-03-04_final
2019-03-04 09:46:32	ga_s2bm_ard_3-2-1_55HDB_2019-03-04_final
2019-03-04 09:46:37	ga_s2bm_ard_3-2-1_55HCB_2019-03-04_final
2019-03-04 09:46:40	ga_s2bm_ard_3-2-1_55HFA_2019-03-04_final
2019-03-04 09:46:43	ga_s2bm_ard_3-2-1_55HEA_2019-03-04_final
2019-03-04 09:46:47	ga_s2bm_ard_3-2-1_55HDA_2019-03-04_final
2019-03-04 09:46:50	ga_s2bm_ard_3-2-1_55HCA_2019-03-04_final
2019-03-04 09:46:58	ga_s2bm_ard_3-2-1_55HEV_2019-03-04_final
2019-03-04 09:47:02	ga_s2bm_ard_3-2-1_55HDV_2019-03-04_final
2019-03-04 09:47:07	ga_s2bm_ard_3-2-1_55HFU_2019-03-04_final.stac-item
2019-03-04 09:47:16	ga_s2bm_ard_3-2-1_55HDU_2019-03-04_final
2019-03-04 09:47:20	ga_s2bm_ard_3-2-1_55HCU_2019-03-04_final
2019-03-04 09:47:27	ga_s2bm_ard_3-2-1_55HET_2019-03-04_final
2019-03-04 09:47:34	ga_s2bm_ard_3-2-1_55HCT_2019-03-04_final
2019-03-04 09:47:38	ga_s2bm_ard_3-2-1_55HBT_2019-03-04_final
2019-03-04 09:47:42	ga_s2bm_ard_3-2-1_54HYC_2019-03-04_final
2019-03-04 09:47:56	ga_s2bm_ard_3-2-1_55GER_2019-03-04_final
2019-03-04 09:48:06	ga_s2bm_ard_3-2-1_55GBR_2019-03-04_final
2019-03-04 09:48:06	ga_s2bm_ard_3-2-1_54GYA_2019-03-04_final
2019-03-04 09:48:14	ga_s2bm_ard_3-2-1_55GDQ_2019-03-04_final
2019-03-04 09:48:18	ga_s2bm_ard_3-2-1_55GCQ_2019-03-04_final
2019-03-04 09:48:28	ga_s2bm_ard_3-2-1_55GDP_2019-03-04_final
2019-03-04 09:48:32	ga_s2bm_ard_3-2-1_55GCP_2019-03-04_final
2019-03-04 11:21:06	ga_s2bm_ard_3-2-1_52LEK_2019-03-04_final.stac-item
2019-03-04 11:21:19	ga_s2bm_ard_3-2-1_52LCK_2019-03-04_final.stac-item
2019-03-04 11:21:30	ga_s2bm_ard_3-2-1_52LDJ_2019-03-04_final
2019-03-04 11:21:33	ga_s2bm_ard_3-2-1_52LCJ_2019-03-04_final
2019-03-04 11:22:20	ga_s2bm_ard_3-2-1_52KBF_2019-03-04_final
2019-03-04 11:22:21	ga_s2bm_ard_3-2-1_51KZA_2019-03-04_final
2019-03-04 11:22:24	ga_s2bm_ard_3-2-1_51KYA_2019-03-04_final
2019-03-04 11:22:35	ga_s2bm_ard_3-2-1_52KBE_2019-03-04_final
2019-03-04 11:22:36	ga_s2bm_ard_3-2-1_51KZV_2019-03-04_final
2019-03-04 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2019-03-04_final
2019-03-04 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2019-03-04_final
2019-03-04 11:23:14	ga_s2bm_ard_3-2-1_52KCB_2019-03-04_final
2019-03-04 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2019-03-04_final
2019-03-04 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2019-03-04_final
2019-03-04 11:23:25	ga_s2bm_ard_3-2-1_52KCA_2019-03-04_final
2019-03-04 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2019-03-04_final
2019-03-04 11:23:29	ga_s2bm_ard_3-2-1_52KBA_2019-03-04_final
2019-03-04 11:23:29	ga_s2bm_ard_3-2-1_51KZR_2019-03-04_final
2019-03-04 11:23:30	ga_s2bm_ard_3-2-1_52KCA_2019-03-04_final
2019-03-04 11:23:31	ga_s2bm_ard_3-2-1_51KYS_2019-03-04_final
2019-03-04 11:23:31	ga_s2bm_ard_3-2-1_51KYR_2019-03-04_final
2019-03-04 11:23:32	ga_s2bm_ard_3-2-1_51KXS_2019-03-04_final
2019-03-04 11:23:33	ga_s2bm_ard_3-2-1_51KXR_2019-03-04_final
2019-03-04 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2019-03-04_final
2019-03-04 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2019-03-04_final
2019-03-04 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2019-03-04_final
2019-03-04 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2019-03-04_final
2019-03-04 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2019-03-04_final
2019-03-04 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2019-03-04_final
2019-03-04 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2019-03-04_final
2019-03-04 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2019-03-04_final
2019-03-04 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2019-03-04_final
2019-03-04 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2019-03-04_final
2019-03-04 11:24:09	ga_s2bm_ard_3-2-1_51KXP_2019-03-04_final
2019-03-04 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2019-03-04_final
2019-03-04 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2019-03-04_final
2019-03-04 11:24:17	ga_s2bm_ard_3-2-1_52JBT_2019-03-04_final
2019-03-04 11:24:20	ga_s2bm_ard_3-2-1_51JYN_2019-03-04_final
2019-03-04 11:24:30	ga_s2bm_ard_3-2-1_52JBS_2019-03-04_final
2019-03-04 11:24:35	ga_s2bm_ard_3-2-1_51JYM_2019-03-04_final
2019-03-04 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2019-03-04_final
2019-03-04 11:24:42	ga_s2bm_ard_3-2-1_52JBR_2019-03-04_final
2019-03-04 11:24:42	ga_s2bm_ard_3-2-1_51JWM_2019-03-04_final
2019-03-04 11:24:49	ga_s2bm_ard_3-2-1_51JYL_2019-03-04_final
2019-03-04 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2019-03-04_final
2019-03-04 11:24:56	ga_s2bm_ard_3-2-1_51JWL_2019-03-04_final
2019-03-04 11:25:01	ga_s2bm_ard_3-2-1_51JVL_2019-03-04_final
2019-03-04 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2019-03-04_final
2019-03-04 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2019-03-04_final
2019-03-04 11:25:14	ga_s2bm_ard_3-2-1_51JVK_2019-03-04_final
2019-03-04 11:25:18	ga_s2bm_ard_3-2-1_51JYJ_2019-03-04_final
2019-03-04 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2019-03-04_final
2019-03-04 11:25:32	ga_s2bm_ard_3-2-1_51JYH_2019-03-04_final
2019-03-04 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2019-03-04_final
2019-03-04 11:25:43	ga_s2bm_ard_3-2-1_51JYG_2019-03-04_final
2019-03-04 11:25:43	ga_s2bm_ard_3-2-1_51JVH_2019-03-04_final
2019-03-04 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2019-03-04_final
2019-03-04 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2019-03-04_final
2019-03-04 11:26:03	ga_s2bm_ard_3-2-1_51JUG_2019-03-04_final
2019-03-04 11:26:05	ga_s2bm_ard_3-2-1_51JXF_2019-03-04_final
2019-03-04 11:26:09	ga_s2bm_ard_3-2-1_51JWF_2019-03-04_final
2019-03-04 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2019-03-04_final
2019-03-04 11:26:16	ga_s2bm_ard_3-2-1_51JUF_2019-03-04_final
2019-03-04 11:26:24	ga_s2bm_ard_3-2-1_51HWE_2019-03-04_final
2019-03-04 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2019-03-04_final
2019-03-04 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2019-03-04_final
2019-03-04 11:26:46	ga_s2bm_ard_3-2-1_51HXC_2019-03-04_final.stac-item
2019-03-04 11:26:52	ga_s2bm_ard_3-2-1_51HWC_2019-03-04_final.stac-item
2019-03-04 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-03-04_final
2019-03-04 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2019-03-04_final
2019-03-04 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2019-03-04_final.stac-item
2019-03-04 11:27:05	ga_s2bm_ard_3-2-1_51HTC_2019-03-04_final
2019-03-04 11:27:08	ga_s2bm_ard_3-2-1_51HUC_2019-03-04_final
2019-03-04 11:27:08	ga_s2bm_ard_3-2-1_51HUB_2019-03-04_final.stac-item
2019-03-04 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2019-03-04_final
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HTB_2019-03-04_final.stac-item
2019-03-04 11:27:10	ga_s2bm_ard_3-2-1_51HUB_2019-03-04_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