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
2020-04-19 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2020-04-19_final
2020-04-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2020-04-19_final
2020-04-19 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-04-19_final
2020-04-19 12:05:07	ga_s2bm_ard_3-2-1_50JKR_2020-04-19_final
2020-04-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2020-04-19_final
2020-04-19 12:05:14	ga_s2bm_ard_3-2-1_50JLQ_2020-04-19_final
2020-04-19 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-04-19_final
2020-04-19 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2020-04-19_final
2020-04-19 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2020-04-19_final
2020-04-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-04-19_final
2020-04-19 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2020-04-19_final
2020-04-19 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2020-04-19_final
2020-04-19 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-04-19_final
2020-04-20 09:51:07	ga_s2bm_ard_3-2-1_55LHC_2020-04-20_final.stac-item
2020-04-20 09:51:10	ga_s2bm_ard_3-2-1_55LGC_2020-04-20_final
2020-04-20 09:51:13	ga_s2bm_ard_3-2-1_55LFC_2020-04-20_final
2020-04-20 09:51:28	ga_s2bm_ard_3-2-1_55KFB_2020-04-20_final
2020-04-20 09:51:43	ga_s2bm_ard_3-2-1_55KFA_2020-04-20_final
2020-04-20 09:52:12	ga_s2bm_ard_3-2-1_55KFU_2020-04-20_final
2020-04-20 09:52:15	ga_s2bm_ard_3-2-1_55KEU_2020-04-20_final
2020-04-20 09:52:30	ga_s2bm_ard_3-2-1_55KET_2020-04-20_final
2020-04-20 09:52:30	ga_s2bm_ard_3-2-1_55KHS_2020-04-20_final
2020-04-20 09:54:08	ga_s2bm_ard_3-2-1_55JFL_2020-04-20_final
2020-04-20 09:54:22	ga_s2bm_ard_3-2-1_55JFK_2020-04-20_final
2020-04-20 09:54:32	ga_s2bm_ard_3-2-1_55JCK_2020-04-20_final
2020-04-20 09:54:46	ga_s2bm_ard_3-2-1_55JFH_2020-04-20_final
2020-04-20 09:54:55	ga_s2bm_ard_3-2-1_55JEH_2020-04-20_final
2020-04-20 09:54:58	ga_s2bm_ard_3-2-1_55JDH_2020-04-20_final
2020-04-20 09:55:16	ga_s2bm_ard_3-2-1_55JCG_2020-04-20_final
2020-04-20 09:55:19	ga_s2bm_ard_3-2-1_55JBG_2020-04-20_final
2020-04-20 09:55:24	ga_s2bm_ard_3-2-1_55JEF_2020-04-20_final
2020-04-20 09:55:27	ga_s2bm_ard_3-2-1_55JDF_2020-04-20_final
2020-04-20 09:55:34	ga_s2bm_ard_3-2-1_55JBF_2020-04-20_final
2020-04-20 09:55:45	ga_s2bm_ard_3-2-1_55HCE_2020-04-20_final
2020-04-20 09:56:03	ga_s2bm_ard_3-2-1_55HBD_2020-04-20_final
2020-04-20 09:56:05	ga_s2bm_ard_3-2-1_54HYJ_2020-04-20_final
2020-04-20 09:56:11	ga_s2bm_ard_3-2-1_55HDC_2020-04-20_final
2020-04-20 09:56:14	ga_s2bm_ard_3-2-1_55HCC_2020-04-20_final
2020-04-20 09:56:26	ga_s2bm_ard_3-2-1_55HDB_2020-04-20_final
2020-04-20 09:56:32	ga_s2bm_ard_3-2-1_55HBB_2020-04-20_final
2020-04-20 09:56:34	ga_s2bm_ard_3-2-1_54HYG_2020-04-20_final
2020-04-20 09:56:40	ga_s2bm_ard_3-2-1_55HDA_2020-04-20_final
2020-04-20 09:56:53	ga_s2bm_ard_3-2-1_55HDV_2020-04-20_final
2020-04-20 09:56:58	ga_s2bm_ard_3-2-1_55HCV_2020-04-20_final
2020-04-20 09:57:01	ga_s2bm_ard_3-2-1_55HBV_2020-04-20_final
2020-04-20 09:57:03	ga_s2bm_ard_3-2-1_54HYE_2020-04-20_final
2020-04-20 09:57:06	ga_s2bm_ard_3-2-1_54HXE_2020-04-20_final
2020-04-20 09:57:42	ga_s2bm_ard_3-2-1_55HCS_2020-04-20_final
2020-04-20 09:57:45	ga_s2bm_ard_3-2-1_55HBS_2020-04-20_final
2020-04-20 09:58:09	ga_s2bm_ard_3-2-1_55GCQ_2020-04-20_final
2020-04-20 09:58:14	ga_s2bm_ard_3-2-1_55GBQ_2020-04-20_final.stac-item
2020-04-20 09:58:14	ga_s2bm_ard_3-2-1_54GYV_2020-04-20_final.stac-item
2020-04-20 09:58:19	ga_s2bm_ard_3-2-1_55GCP_2020-04-20_final
2020-04-20 11:31:13	ga_s2bm_ard_3-2-1_52LBK_2020-04-20_final
2020-04-20 11:31:15	ga_s2bm_ard_3-2-1_51LZE_2020-04-20_final
2020-04-20 11:31:19	ga_s2bm_ard_3-2-1_51LYE_2020-04-20_final
2020-04-20 11:31:43	ga_s2bm_ard_3-2-1_51LZC_2020-04-20_final
2020-04-20 11:31:48	ga_s2bm_ard_3-2-1_51LYC_2020-04-20_final
2020-04-20 11:31:52	ga_s2bm_ard_3-2-1_51LXC_2020-04-20_final
2020-04-20 11:32:06	ga_s2bm_ard_3-2-1_51KXB_2020-04-20_final
2020-04-20 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2020-04-20_final
2020-04-20 11:32:15	ga_s2bm_ard_3-2-1_51KVB_2020-04-20_final
2020-04-20 11:32:21	ga_s2bm_ard_3-2-1_51KXA_2020-04-20_final
2020-04-20 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2020-04-20_final
2020-04-20 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2020-04-20_final
2020-04-20 11:32:34	ga_s2bm_ard_3-2-1_51KXV_2020-04-20_final
2020-04-20 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2020-04-20_final
2020-04-20 11:32:41	ga_s2bm_ard_3-2-1_51KXU_2020-04-20_final
2020-04-20 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2020-04-20_final
2020-04-20 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2020-04-20_final
2020-04-20 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2020-04-20_final
2020-04-20 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2020-04-20_final
2020-04-20 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2020-04-20_final
2020-04-20 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2020-04-20_final
2020-04-20 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2020-04-20_final
2020-04-20 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-04-20_final
2020-04-20 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2020-04-20_final
2020-04-20 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2020-04-20_final
2020-04-20 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2020-04-20_final
2020-04-20 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2020-04-20_final
2020-04-20 11:34:59	ga_s2bm_ard_3-2-1_51JTL_2020-04-20_final
2020-04-20 11:35:10	ga_s2bm_ard_3-2-1_51JUK_2020-04-20_final
2020-04-20 11:35:21	ga_s2bm_ard_3-2-1_51JTJ_2020-04-20_final
2020-04-20 11:35:28	ga_s2bm_ard_3-2-1_51JTJ_2020-04-20_final
2020-04-20 11:35:40	ga_s2bm_ard_3-2-1_51JUH_2020-04-20_final
2020-04-20 11:35:43	ga_s2bm_ard_3-2-1_51JTH_2020-04-20_final
2020-04-20 11:35:54	ga_s2bm_ard_3-2-1_51JUG_2020-04-20_final
2020-04-20 11:35:57	ga_s2bm_ard_3-2-1_51JTG_2020-04-20_final
2020-04-20 11:36:00	ga_s2bm_ard_3-2-1_50JQM_2020-04-20_final
2020-04-20 11:36:05	ga_s2bm_ard_3-2-1_51JVF_2020-04-20_final
2020-04-20 11:36:12	ga_s2bm_ard_3-2-1_51JTF_2020-04-20_final
2020-04-20 11:36:15	ga_s2bm_ard_3-2-1_50JQL_2020-04-20_final
2020-04-20 11:36:23	ga_s2bm_ard_3-2-1_51HUE_2020-04-20_final
2020-04-20 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2020-04-20_final
2020-04-20 11:36:41	ga_s2bm_ard_3-2-1_51HTD_2020-04-20_final
2020-04-20 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2020-04-20_final
2020-04-20 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2020-04-20_final
2020-04-20 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2020-04-20_final
2020-04-20 11:37:10	ga_s2bm_ard_3-2-1_51HTB_2020-04-20_final.stac-item
2020-04-20 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2020-04-20_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