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
2019-03-16 10:21:09	ga_s2bm_ard_3-2-1_54LXJ_2019-03-16_final
2019-03-16 10:21:49	ga_s2bm_ard_3-2-1_54KYF_2019-03-16_final
2019-03-16 10:22:12	ga_s2bm_ard_3-2-1_54KYD_2019-03-16_final
2019-03-16 10:22:36	ga_s2bm_ard_3-2-1_54KXC_2019-03-16_final
2019-03-16 10:22:40	ga_s2bm_ard_3-2-1_54KWC_2019-03-16_final
2019-03-16 10:22:43	ga_s2bm_ard_3-2-1_54KVC_2019-03-16_final
2019-03-16 10:22:46	ga_s2bm_ard_3-2-1_54KUC_2019-03-16_final
2019-03-16 10:22:51	ga_s2bm_ard_3-2-1_54KXB_2019-03-16_final
2019-03-16 10:22:54	ga_s2bm_ard_3-2-1_54KWB_2019-03-16_final
2019-03-16 10:23:02	ga_s2bm_ard_3-2-1_54KWB_2019-03-16_final
2019-03-16 10:23:02	ga_s2bm_ard_3-2-1_54KWA_2019-03-16_final
2019-03-16 10:23:04	ga_s2bm_ard_3-2-1_54KVA_2019-03-16_final
2019-03-16 10:23:09	ga_s2bm_ard_3-2-1_54KWA_2019-03-16_final
2019-03-16 10:23:12	ga_s2bm_ard_3-2-1_54KVA_2019-03-16_final
2019-03-16 10:23:23	ga_s2bm_ard_3-2-1_54KWV_2019-03-16_final
2019-03-16 10:23:27	ga_s2bm_ard_3-2-1_54KVV_2019-03-16_final
2019-03-16 10:23:35	ga_s2bm_ard_3-2-1_54KTV_2019-03-16_final
2019-03-16 10:23:38	ga_s2bm_ard_3-2-1_54KWU_2019-03-16_final
2019-03-16 10:23:38	ga_s2bm_ard_3-2-1_53KRQ_2019-03-16_final
2019-03-16 10:23:41	ga_s2bm_ard_3-2-1_54KVU_2019-03-16_final
2019-03-16 10:23:44	ga_s2bm_ard_3-2-1_54KUU_2019-03-16_final
2019-03-16 10:23:48	ga_s2bm_ard_3-2-1_54KTU_2019-03-16_final
2019-03-16 10:24:02	ga_s2bm_ard_3-2-1_54JTT_2019-03-16_final
2019-03-16 10:24:06	ga_s2bm_ard_3-2-1_54JWS_2019-03-16_final
2019-03-16 10:24:10	ga_s2bm_ard_3-2-1_54JVS_2019-03-16_final
2019-03-16 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2019-03-16_final
2019-03-16 10:24:17	ga_s2bm_ard_3-2-1_54JTS_2019-03-16_final
2019-03-16 10:24:32	ga_s2bm_ard_3-2-1_54JTR_2019-03-16_final
2019-03-16 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2019-03-16_final
2019-03-16 10:24:39	ga_s2bm_ard_3-2-1_54JVQ_2019-03-16_final
2019-03-16 10:25:32	ga_s2bm_ard_3-2-1_53JQG_2019-03-16_final
2019-03-16 10:26:14	ga_s2bm_ard_3-2-1_54HTJ_2019-03-16_final
2019-03-16 10:26:16	ga_s2bm_ard_3-2-1_53HQD_2019-03-16_final
2019-03-16 10:26:28	ga_s2bm_ard_3-2-1_54HTH_2019-03-16_final
2019-03-16 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2019-03-16_final
2019-03-16 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2019-03-16_final
2019-03-16 10:26:43	ga_s2bm_ard_3-2-1_54HTG_2019-03-16_final
2019-03-16 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2019-03-16_final
2019-03-16 10:26:52	ga_s2bm_ard_3-2-1_53HNB_2019-03-16_final
2019-03-16 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2019-03-16_final
2019-03-16 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2019-03-16_final
2019-03-16 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2019-03-16_final
2019-03-16 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2019-03-16_final
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-16_final
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2019-03-16_final
2019-03-16 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2019-03-16_final
2019-03-16 12:03:57	ga_s2bm_ard_3-2-1_50KKA_2019-03-16_final
2019-03-16 12:04:04	ga_s2bm_ard_3-2-1_50KMV_2019-03-16_final
2019-03-16 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2019-03-16_final
2019-03-16 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-03-16_final
2019-03-16 12:04:19	ga_s2bm_ard_3-2-1_50KMU_2019-03-16_final
2019-03-16 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2019-03-16_final
2019-03-16 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-03-16_final
2019-03-16 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2019-03-16_final
2019-03-16 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2019-03-16_final
2019-03-16 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2019-03-16_final
2019-03-16 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2019-03-16_final
2019-03-16 12:04:52	ga_s2bm_ard_3-2-1_50JLS_2019-03-16_final
2019-03-16 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2019-03-16_final
2019-03-16 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-16_final
2019-03-16 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2019-03-16_final
2019-03-17 09:51:38	ga_s2bm_ard_3-2-1_56KKF_2019-03-17_final
2019-03-17 09:52:12	ga_s2bm_ard_3-2-1_55KGU_2019-03-17_final
2019-03-17 09:52:26	ga_s2bm_ard_3-2-1_55KGT_2019-03-17_final
2019-03-17 09:52:30	ga_s2bm_ard_3-2-1_55KFT_2019-03-17_final
2019-03-17 09:52:40	ga_s2bm_ard_3-2-1_55KGS_2019-03-17_final
2019-03-17 09:52:44	ga_s2bm_ard_3-2-1_55KFS_2019-03-17_final
2019-03-17 09:52:48	ga_s2bm_ard_3-2-1_55KES_2019-03-17_final
2019-03-17 09:52:54	ga_s2bm_ard_3-2-1_55KDS_2019-03-17_final
2019-03-17 09:52:55	ga_s2bm_ard_3-2-1_55KGR_2019-03-17_final
2019-03-17 09:53:01	ga_s2bm_ard_3-2-1_55KER_2019-03-17_final
2019-03-17 09:53:04	ga_s2bm_ard_3-2-1_55KDR_2019-03-17_final
2019-03-17 09:53:05	ga_s2bm_ard_3-2-1_55KGQ_2019-03-17_final
2019-03-17 09:53:08	ga_s2bm_ard_3-2-1_55KER_2019-03-17_final
2019-03-17 09:53:08	ga_s2bm_ard_3-2-1_55KEQ_2019-03-17_final
2019-03-17 09:53:09	ga_s2bm_ard_3-2-1_55KDR_2019-03-17_final
2019-03-17 09:53:12	ga_s2bm_ard_3-2-1_55KGQ_2019-03-17_final
2019-03-17 09:53:16	ga_s2bm_ard_3-2-1_55KEQ_2019-03-17_final
2019-03-17 09:53:19	ga_s2bm_ard_3-2-1_55KDQ_2019-03-17_final
2019-03-17 09:53:24	ga_s2bm_ard_3-2-1_55KGP_2019-03-17_final
2019-03-17 09:53:28	ga_s2bm_ard_3-2-1_55KFP_2019-03-17_final
2019-03-17 09:53:31	ga_s2bm_ard_3-2-1_55KEP_2019-03-17_final
2019-03-17 09:53:34	ga_s2bm_ard_3-2-1_55KDP_2019-03-17_final
2019-03-17 09:53:36	ga_s2bm_ard_3-2-1_55JGN_2019-03-17_final
2019-03-17 09:53:46	ga_s2bm_ard_3-2-1_55JEN_2019-03-17_final
2019-03-17 09:53:46	ga_s2bm_ard_3-2-1_55JGM_2019-03-17_final
2019-03-17 09:53:56	ga_s2bm_ard_3-2-1_55JFM_2019-03-17_final
2019-03-17 09:54:00	ga_s2bm_ard_3-2-1_55JEM_2019-03-17_final
2019-03-17 09:54:03	ga_s2bm_ard_3-2-1_55JDM_2019-03-17_final
2019-03-17 09:54:29	ga_s2bm_ard_3-2-1_55JEK_2019-03-17_final
2019-03-17 09:54:33	ga_s2bm_ard_3-2-1_55JDK_2019-03-17_final
2019-03-17 09:55:27	ga_s2bm_ard_3-2-1_55JEF_2019-03-17_final
2019-03-17 09:55:31	ga_s2bm_ard_3-2-1_55JDF_2019-03-17_final
2019-03-17 09:56:06	ga_s2bm_ard_3-2-1_55HBD_2019-03-17_final
2019-03-17 09:56:08	ga_s2bm_ard_3-2-1_54HYJ_2019-03-17_final
2019-03-17 09:56:21	ga_s2bm_ard_3-2-1_55HBC_2019-03-17_final
2019-03-17 09:56:23	ga_s2bm_ard_3-2-1_54HYH_2019-03-17_final
2019-03-17 09:56:29	ga_s2bm_ard_3-2-1_55HDB_2019-03-17_final
2019-03-17 09:56:35	ga_s2bm_ard_3-2-1_55HBB_2019-03-17_final
2019-03-17 09:56:37	ga_s2bm_ard_3-2-1_54HYG_2019-03-17_final

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