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
2020-02-20 09:54:13	ga_s2bm_ard_3-2-1_55JEL_2020-02-20_final
2020-02-20 09:54:16	ga_s2bm_ard_3-2-1_55JDL_2020-02-20_final
2020-02-20 09:54:34	ga_s2bm_ard_3-2-1_55JCK_2020-02-20_final
2020-02-20 09:54:47	ga_s2bm_ard_3-2-1_55JFH_2020-02-20_final
2020-02-20 09:54:56	ga_s2bm_ard_3-2-1_55JEH_2020-02-20_final
2020-02-20 09:55:00	ga_s2bm_ard_3-2-1_55JDH_2020-02-20_final
2020-02-20 09:55:03	ga_s2bm_ard_3-2-1_55JCH_2020-02-20_final
2020-02-20 09:55:14	ga_s2bm_ard_3-2-1_55JDG_2020-02-20_final
2020-02-20 09:55:20	ga_s2bm_ard_3-2-1_55JBG_2020-02-20_final
2020-02-20 09:55:32	ga_s2bm_ard_3-2-1_55JCF_2020-02-20_final
2020-02-20 09:55:35	ga_s2bm_ard_3-2-1_55JBF_2020-02-20_final
2020-02-20 09:55:39	ga_s2bm_ard_3-2-1_55HEE_2020-02-20_final
2020-02-20 09:55:43	ga_s2bm_ard_3-2-1_55HDE_2020-02-20_final
2020-02-20 09:55:50	ga_s2bm_ard_3-2-1_55HBE_2020-02-20_final
2020-02-20 09:55:53	ga_s2bm_ard_3-2-1_54HYK_2020-02-20_final
2020-02-20 09:56:04	ga_s2bm_ard_3-2-1_55HBD_2020-02-20_final
2020-02-20 09:56:06	ga_s2bm_ard_3-2-1_54HYJ_2020-02-20_final
2020-02-20 09:56:12	ga_s2bm_ard_3-2-1_55HDC_2020-02-20_final
2020-02-20 09:56:16	ga_s2bm_ard_3-2-1_55HCC_2020-02-20_final
2020-02-20 09:56:30	ga_s2bm_ard_3-2-1_55HCB_2020-02-20_final
2020-02-20 09:56:35	ga_s2bm_ard_3-2-1_54HYG_2020-02-20_final
2020-02-20 09:56:42	ga_s2bm_ard_3-2-1_54HXG_2020-02-20_final
2020-02-20 09:56:45	ga_s2bm_ard_3-2-1_55HCA_2020-02-20_final
2020-02-20 09:56:48	ga_s2bm_ard_3-2-1_55HBA_2020-02-20_final
2020-02-20 09:56:50	ga_s2bm_ard_3-2-1_54HYF_2020-02-20_final
2020-02-20 09:56:54	ga_s2bm_ard_3-2-1_54HXF_2020-02-20_final
2020-02-20 09:56:54	ga_s2bm_ard_3-2-1_55HDV_2020-02-20_final
2020-02-20 09:56:59	ga_s2bm_ard_3-2-1_55HCV_2020-02-20_final
2020-02-20 09:57:05	ga_s2bm_ard_3-2-1_55HDU_2020-02-20_final
2020-02-20 09:57:08	ga_s2bm_ard_3-2-1_54HXE_2020-02-20_final
2020-02-20 09:57:14	ga_s2bm_ard_3-2-1_55HCU_2020-02-20_final
2020-02-20 09:57:17	ga_s2bm_ard_3-2-1_55HBU_2020-02-20_final
2020-02-20 09:57:18	ga_s2bm_ard_3-2-1_54HYD_2020-02-20_final
2020-02-20 09:57:22	ga_s2bm_ard_3-2-1_54HXD_2020-02-20_final
2020-02-20 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2020-02-20_final
2020-02-20 09:57:47	ga_s2bm_ard_3-2-1_55HBS_2020-02-20_final
2020-02-20 09:57:47	ga_s2bm_ard_3-2-1_54HYB_2020-02-20_final
2020-02-20 09:58:15	ga_s2bm_ard_3-2-1_55GBQ_2020-02-20_final.stac-item
2020-02-20 11:31:25	ga_s2bm_ard_3-2-1_52LBJ_2020-02-20_final
2020-02-20 11:31:31	ga_s2bm_ard_3-2-1_51LZD_2020-02-20_final
2020-02-20 11:31:35	ga_s2bm_ard_3-2-1_51LYD_2020-02-20_final
2020-02-20 11:31:38	ga_s2bm_ard_3-2-1_51LXD_2020-02-20_final
2020-02-20 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2020-02-20_final
2020-02-20 11:32:08	ga_s2bm_ard_3-2-1_51KXB_2020-02-20_final
2020-02-20 11:32:22	ga_s2bm_ard_3-2-1_51KXA_2020-02-20_final
2020-02-20 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2020-02-20_final
2020-02-20 11:32:29	ga_s2bm_ard_3-2-1_51KVA_2020-02-20_final
2020-02-20 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2020-02-20_final
2020-02-20 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2020-02-20_final
2020-02-20 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2020-02-20_final
2020-02-20 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2020-02-20_final
2020-02-20 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2020-02-20_final
2020-02-20 11:32:57	ga_s2bm_ard_3-2-1_51KYT_2020-02-20_final
2020-02-20 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2020-02-20_final
2020-02-20 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2020-02-20_final
2020-02-20 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2020-02-20_final
2020-02-20 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2020-02-20_final
2020-02-20 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2020-02-20_final
2020-02-20 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2020-02-20_final
2020-02-20 11:34:45	ga_s2bm_ard_3-2-1_50JRS_2020-02-20_final
2020-02-20 11:34:51	ga_s2bm_ard_3-2-1_51JWL_2020-02-20_final
2020-02-20 11:34:54	ga_s2bm_ard_3-2-1_51JVL_2020-02-20_final
2020-02-20 11:35:00	ga_s2bm_ard_3-2-1_51JTL_2020-02-20_final
2020-02-20 11:35:12	ga_s2bm_ard_3-2-1_51JUK_2020-02-20_final
2020-02-20 11:35:30	ga_s2bm_ard_3-2-1_51JTJ_2020-02-20_final
2020-02-20 11:35:33	ga_s2bm_ard_3-2-1_50JQP_2020-02-20_final
2020-02-20 11:35:37	ga_s2bm_ard_3-2-1_51JVH_2020-02-20_final
2020-02-20 11:35:41	ga_s2bm_ard_3-2-1_51JUH_2020-02-20_final
2020-02-20 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2020-02-20_final
2020-02-20 11:35:59	ga_s2bm_ard_3-2-1_51JTG_2020-02-20_final
2020-02-20 11:36:05	ga_s2bm_ard_3-2-1_51JUF_2020-02-20_final
2020-02-20 11:36:07	ga_s2bm_ard_3-2-1_51JTG_2020-02-20_final
2020-02-20 11:36:07	ga_s2bm_ard_3-2-1_51JTF_2020-02-20_final
2020-02-20 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2020-02-20_final
2020-02-20 11:36:14	ga_s2bm_ard_3-2-1_51JTF_2020-02-20_final
2020-02-20 11:36:20	ga_s2bm_ard_3-2-1_51HVE_2020-02-20_final
2020-02-20 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2020-02-20_final
2020-02-20 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2020-02-20_final
2020-02-20 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-02-20_final
2020-02-20 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2020-02-20_final
2020-02-20 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2020-02-20_final
2020-02-20 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2020-02-20_final
2020-02-20 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2020-02-20_final
2020-02-20 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2020-02-20_final
2020-02-20 11:37:08	ga_s2bm_ard_3-2-1_51HUB_2020-02-20_final.stac-item
2020-02-20 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2020-02-20_final.stac-item
2020-02-20 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2020-02-20_final.stac-item
2020-02-20 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2020-02-20_final.stac-item
2020-02-21 09:24:06	ga_s2bm_ard_3-2-1_56JNR_2020-02-20_final.stac-item
2020-02-21 09:24:49	ga_s2bm_ard_3-2-1_56JNN_2020-02-20_final
2020-02-21 09:24:52	ga_s2bm_ard_3-2-1_56JMN_2020-02-20_final
2020-02-21 09:25:03	ga_s2bm_ard_3-2-1_56JNM_2020-02-20_final
2020-02-21 09:25:26	ga_s2bm_ard_3-2-1_56JLL_2020-02-20_final
2020-02-21 09:25:36	ga_s2bm_ard_3-2-1_56HMK_2020-02-20_final
2020-02-21 09:26:08	ga_s2bm_ard_3-2-1_56HLH_2020-02-20_final.stac-item
2020-02-21 09:26:23	ga_s2bm_ard_3-2-1_56HLG_2020-02-20_final.stac-item
2020-02-21 09:26:38	ga_s2bm_ard_3-2-1_56HKF_2020-02-20_final
2020-02-21 09:26:44	ga_s2bm_ard_3-2-1_56HKF_2020-02-20_final
2020-02-21 09:27:11	ga_s2bm_ard_3-2-1_55HGU_2020-02-20_final.stac-item
2020-02-21 09:27:46	ga_s2bm_ard_3-2-1_55HFS_2020-02-20_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