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
2020-04-09 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2020-04-09_final
2020-04-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2020-04-09_final
2020-04-09 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2020-04-09_final
2020-04-09 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2020-04-09_final
2020-04-09 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2020-04-09_final
2020-04-09 12:04:45	ga_s2bm_ard_3-2-1_50JMS_2020-04-09_final
2020-04-09 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2020-04-09_final
2020-04-09 12:04:53	ga_s2bm_ard_3-2-1_49JHM_2020-04-09_final
2020-04-09 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2020-04-09_final
2020-04-09 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-04-09_final
2020-04-09 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2020-04-09_final
2020-04-10 09:51:08	ga_s2bm_ard_3-2-1_55LHC_2020-04-10_final.stac-item
2020-04-10 09:51:21	ga_s2bm_ard_3-2-1_56KKG_2020-04-10_final.stac-item
2020-04-10 09:51:36	ga_s2bm_ard_3-2-1_56KKF_2020-04-10_final
2020-04-10 09:52:28	ga_s2bm_ard_3-2-1_55KFT_2020-04-10_final
2020-04-10 09:52:31	ga_s2bm_ard_3-2-1_55KET_2020-04-10_final
2020-04-10 09:52:38	ga_s2bm_ard_3-2-1_55KGS_2020-04-10_final
2020-04-10 09:52:46	ga_s2bm_ard_3-2-1_55KES_2020-04-10_final
2020-04-10 09:52:51	ga_s2bm_ard_3-2-1_55KGR_2020-04-10_final
2020-04-10 09:52:52	ga_s2bm_ard_3-2-1_55KDS_2020-04-10_final
2020-04-10 09:52:53	ga_s2bm_ard_3-2-1_55KFR_2020-04-10_final
2020-04-10 09:52:55	ga_s2bm_ard_3-2-1_55KER_2020-04-10_final
2020-04-10 09:52:56	ga_s2bm_ard_3-2-1_55KDR_2020-04-10_final
2020-04-10 09:52:58	ga_s2bm_ard_3-2-1_55KGR_2020-04-10_final
2020-04-10 09:52:59	ga_s2bm_ard_3-2-1_55KFR_2020-04-10_final
2020-04-10 09:53:01	ga_s2bm_ard_3-2-1_55KER_2020-04-10_final
2020-04-10 09:53:04	ga_s2bm_ard_3-2-1_55KDR_2020-04-10_final
2020-04-10 09:53:08	ga_s2bm_ard_3-2-1_55KGQ_2020-04-10_final
2020-04-10 09:53:15	ga_s2bm_ard_3-2-1_55KEQ_2020-04-10_final
2020-04-10 09:53:18	ga_s2bm_ard_3-2-1_55KDQ_2020-04-10_final
2020-04-10 09:53:22	ga_s2bm_ard_3-2-1_55KGP_2020-04-10_final
2020-04-10 09:53:26	ga_s2bm_ard_3-2-1_55KFP_2020-04-10_final
2020-04-10 09:53:29	ga_s2bm_ard_3-2-1_55KEP_2020-04-10_final
2020-04-10 09:53:33	ga_s2bm_ard_3-2-1_55KDP_2020-04-10_final
2020-04-10 09:53:34	ga_s2bm_ard_3-2-1_55JGN_2020-04-10_final
2020-04-10 09:53:44	ga_s2bm_ard_3-2-1_55JEN_2020-04-10_final
2020-04-10 09:53:44	ga_s2bm_ard_3-2-1_55JGM_2020-04-10_final
2020-04-10 09:53:47	ga_s2bm_ard_3-2-1_55JDN_2020-04-10_final
2020-04-10 09:53:54	ga_s2bm_ard_3-2-1_55JFM_2020-04-10_final
2020-04-10 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2020-04-10_final
2020-04-10 09:54:56	ga_s2bm_ard_3-2-1_55JEH_2020-04-10_final
2020-04-10 09:55:00	ga_s2bm_ard_3-2-1_55JDH_2020-04-10_final
2020-04-10 09:56:05	ga_s2bm_ard_3-2-1_55HBD_2020-04-10_final
2020-04-10 09:56:06	ga_s2bm_ard_3-2-1_54HYJ_2020-04-10_final
2020-04-10 09:56:34	ga_s2bm_ard_3-2-1_55HBB_2020-04-10_final
2020-04-10 09:56:36	ga_s2bm_ard_3-2-1_54HYG_2020-04-10_final
2020-04-10 09:57:08	ga_s2bm_ard_3-2-1_54HXE_2020-04-10_final
2020-04-10 09:57:43	ga_s2bm_ard_3-2-1_55HCS_2020-04-10_final
2020-04-10 09:57:47	ga_s2bm_ard_3-2-1_55HBS_2020-04-10_final
2020-04-10 09:57:47	ga_s2bm_ard_3-2-1_54HYB_2020-04-10_final
2020-04-10 09:57:57	ga_s2bm_ard_3-2-1_55GCR_2020-04-10_final
2020-04-10 09:58:01	ga_s2bm_ard_3-2-1_55GBR_2020-04-10_final
2020-04-10 09:58:02	ga_s2bm_ard_3-2-1_54GYA_2020-04-10_final
2020-04-10 09:58:10	ga_s2bm_ard_3-2-1_55GCQ_2020-04-10_final
2020-04-10 09:58:16	ga_s2bm_ard_3-2-1_55GBQ_2020-04-10_final.stac-item
2020-04-10 09:58:16	ga_s2bm_ard_3-2-1_54GYV_2020-04-10_final.stac-item
2020-04-10 09:58:20	ga_s2bm_ard_3-2-1_55GCP_2020-04-10_final
2020-04-10 11:31:27	ga_s2bm_ard_3-2-1_51LWE_2020-04-10_final
2020-04-10 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2020-04-10_final
2020-04-10 11:31:45	ga_s2bm_ard_3-2-1_51LZC_2020-04-10_final
2020-04-10 11:31:50	ga_s2bm_ard_3-2-1_51LYC_2020-04-10_final
2020-04-10 11:32:08	ga_s2bm_ard_3-2-1_51KXB_2020-04-10_final
2020-04-10 11:32:18	ga_s2bm_ard_3-2-1_51KYA_2020-04-10_final
2020-04-10 11:32:33	ga_s2bm_ard_3-2-1_51KYV_2020-04-10_final
2020-04-10 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2020-04-10_final
2020-04-10 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2020-04-10_final
2020-04-10 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2020-04-10_final
2020-04-10 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2020-04-10_final
2020-04-10 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2020-04-10_final
2020-04-10 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2020-04-10_final
2020-04-10 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-04-10_final
2020-04-10 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2020-04-10_final
2020-04-10 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2020-04-10_final
2020-04-10 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2020-04-10_final
2020-04-10 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2020-04-10_final
2020-04-10 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2020-04-10_final
2020-04-10 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2020-04-10_final
2020-04-10 11:34:02	ga_s2bm_ard_3-2-1_51KXP_2020-04-10_final
2020-04-10 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2020-04-10_final
2020-04-10 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2020-04-10_final
2020-04-10 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2020-04-10_final
2020-04-10 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2020-04-10_final
2020-04-10 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2020-04-10_final
2020-04-10 11:34:35	ga_s2bm_ard_3-2-1_51JWM_2020-04-10_final
2020-04-10 11:34:37	ga_s2bm_ard_3-2-1_51JVM_2020-04-10_final
2020-04-10 11:34:38	ga_s2bm_ard_3-2-1_51JUM_2020-04-10_final
2020-04-10 11:34:40	ga_s2bm_ard_3-2-1_51JTM_2020-04-10_final
2020-04-10 11:34:40	ga_s2bm_ard_3-2-1_50JRS_2020-04-10_final
2020-04-10 11:34:42	ga_s2bm_ard_3-2-1_51JWM_2020-04-10_final
2020-04-10 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2020-04-10_final
2020-04-10 11:34:45	ga_s2bm_ard_3-2-1_51JUM_2020-04-10_final
2020-04-10 11:34:47	ga_s2bm_ard_3-2-1_50JRS_2020-04-10_final
2020-04-10 11:34:47	ga_s2bm_ard_3-2-1_51JTM_2020-04-10_final
2020-04-10 11:35:30	ga_s2bm_ard_3-2-1_51JTJ_2020-04-10_final
2020-04-10 11:35:34	ga_s2bm_ard_3-2-1_50JQP_2020-04-10_final
2020-04-10 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2020-04-10_final
2020-04-10 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2020-04-10_final
2020-04-10 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2020-04-10_final
2020-04-10 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2020-04-10_final
2020-04-10 11:37:12	ga_s2bm_ard_3-2-1_51HTB_2020-04-10_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