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
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final
2020-03-14 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-03-14_final
2020-03-14 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-03-14_final
2020-03-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2020-03-14_final
2020-03-14 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-14_final
2020-03-14 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-03-14_final
2020-03-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-03-14_final
2020-03-14 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-14_final
2020-03-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2020-03-14_final.stac-item
2020-03-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2020-03-14_final.stac-item
2020-03-15 09:32:43	ga_s2bm_ard_3-2-1_56KNB_2020-03-15_final.stac-item
2020-03-15 09:32:45	ga_s2bm_ard_3-2-1_56KMB_2020-03-15_final.stac-item
2020-03-15 09:32:46	ga_s2bm_ard_3-2-1_56KLB_2020-03-15_final
2020-03-15 09:33:33	ga_s2bm_ard_3-2-1_56JNT_2020-03-15_final
2020-03-15 09:33:40	ga_s2bm_ard_3-2-1_56JLT_2020-03-15_final
2020-03-15 09:33:55	ga_s2bm_ard_3-2-1_56JLS_2020-03-15_final
2020-03-15 09:33:59	ga_s2bm_ard_3-2-1_55JHM_2020-03-15_final
2020-03-15 09:34:02	ga_s2bm_ard_3-2-1_56JNR_2020-03-15_final.stac-item
2020-03-15 09:34:06	ga_s2bm_ard_3-2-1_56JMR_2020-03-15_final
2020-03-15 09:34:09	ga_s2bm_ard_3-2-1_56JLR_2020-03-15_final
2020-03-15 09:34:17	ga_s2bm_ard_3-2-1_56JNQ_2020-03-15_final.stac-item
2020-03-15 09:34:21	ga_s2bm_ard_3-2-1_56JMQ_2020-03-15_final
2020-03-15 09:34:35	ga_s2bm_ard_3-2-1_56JMP_2020-03-15_final
2020-03-15 09:34:38	ga_s2bm_ard_3-2-1_56JLP_2020-03-15_final
2020-03-15 09:34:59	ga_s2bm_ard_3-2-1_55JGH_2020-03-15_final
2020-03-15 09:35:04	ga_s2bm_ard_3-2-1_56JMM_2020-03-15_final
2020-03-15 09:35:08	ga_s2bm_ard_3-2-1_56JLM_2020-03-15_final
2020-03-15 09:35:19	ga_s2bm_ard_3-2-1_56JML_2020-03-15_final
2020-03-15 09:35:28	ga_s2bm_ard_3-2-1_55JGF_2020-03-15_final
2020-03-15 09:35:55	ga_s2bm_ard_3-2-1_56HKJ_2020-03-15_final
2020-03-15 09:35:57	ga_s2bm_ard_3-2-1_55HGD_2020-03-15_final
2020-03-15 09:36:06	ga_s2bm_ard_3-2-1_56HLH_2020-03-15_final.stac-item
2020-03-15 09:36:09	ga_s2bm_ard_3-2-1_56HKH_2020-03-15_final
2020-03-15 09:36:11	ga_s2bm_ard_3-2-1_55HGC_2020-03-15_final
2020-03-15 09:36:38	ga_s2bm_ard_3-2-1_56HKF_2020-03-15_final
2020-03-15 09:36:40	ga_s2bm_ard_3-2-1_55HGA_2020-03-15_final
2020-03-15 09:36:44	ga_s2bm_ard_3-2-1_55HFA_2020-03-15_final
2020-03-15 09:36:48	ga_s2bm_ard_3-2-1_55HEA_2020-03-15_final
2020-03-15 09:37:27	ga_s2bm_ard_3-2-1_55HFT_2020-03-15_final.stac-item
2020-03-15 09:37:41	ga_s2bm_ard_3-2-1_55HFS_2020-03-15_final.stac-item
2020-03-15 09:37:45	ga_s2bm_ard_3-2-1_55HES_2020-03-15_final
2020-03-15 09:37:49	ga_s2bm_ard_3-2-1_55HDS_2020-03-15_final
2020-03-15 09:38:10	ga_s2bm_ard_3-2-1_55GFQ_2020-03-15_final
2020-03-15 09:38:14	ga_s2bm_ard_3-2-1_55GEQ_2020-03-15_final
2020-03-15 09:38:17	ga_s2bm_ard_3-2-1_55GDQ_2020-03-15_final
2020-03-15 09:38:20	ga_s2bm_ard_3-2-1_55GFP_2020-03-15_final
2020-03-15 09:38:22	ga_s2bm_ard_3-2-1_55GEQ_2020-03-15_final
2020-03-15 09:38:22	ga_s2bm_ard_3-2-1_55GEP_2020-03-15_final
2020-03-15 09:38:23	ga_s2bm_ard_3-2-1_55GDP_2020-03-15_final
2020-03-15 09:38:24	ga_s2bm_ard_3-2-1_55GDQ_2020-03-15_final
2020-03-15 09:38:27	ga_s2bm_ard_3-2-1_55GFP_2020-03-15_final
2020-03-15 09:38:29	ga_s2bm_ard_3-2-1_55GEP_2020-03-15_final
2020-03-15 09:38:32	ga_s2bm_ard_3-2-1_55GDP_2020-03-15_final
2020-03-15 09:38:38	ga_s2bm_ard_3-2-1_55GCP_2020-03-15_final
2020-03-15 11:10:27	ga_s2bm_ard_3-2-1_52LGN_2020-03-15_final
2020-03-15 11:10:56	ga_s2bm_ard_3-2-1_52LGL_2020-03-15_final
2020-03-15 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2020-03-15_final
2020-03-15 11:11:03	ga_s2bm_ard_3-2-1_52LEL_2020-03-15_final.stac-item
2020-03-15 11:11:25	ga_s2bm_ard_3-2-1_52LGJ_2020-03-15_final
2020-03-15 11:11:28	ga_s2bm_ard_3-2-1_52LFJ_2020-03-15_final
2020-03-15 11:11:32	ga_s2bm_ard_3-2-1_52LEJ_2020-03-15_final
2020-03-15 11:11:35	ga_s2bm_ard_3-2-1_52LDJ_2020-03-15_final
2020-03-15 11:11:48	ga_s2bm_ard_3-2-1_52KGG_2020-03-15_final
2020-03-15 11:11:57	ga_s2bm_ard_3-2-1_52KFG_2020-03-15_final
2020-03-15 11:12:01	ga_s2bm_ard_3-2-1_52KEG_2020-03-15_final
2020-03-15 11:12:04	ga_s2bm_ard_3-2-1_52KDG_2020-03-15_final
2020-03-15 11:12:12	ga_s2bm_ard_3-2-1_52KFF_2020-03-15_final
2020-03-15 11:12:15	ga_s2bm_ard_3-2-1_52KEF_2020-03-15_final
2020-03-15 11:12:18	ga_s2bm_ard_3-2-1_52KDF_2020-03-15_final
2020-03-15 11:12:22	ga_s2bm_ard_3-2-1_52KCF_2020-03-15_final
2020-03-15 11:12:40	ga_s2bm_ard_3-2-1_52KFD_2020-03-15_final
2020-03-15 11:12:51	ga_s2bm_ard_3-2-1_52KCD_2020-03-15_final
2020-03-15 11:13:05	ga_s2bm_ard_3-2-1_52KEB_2020-03-15_final
2020-03-15 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2020-03-15_final
2020-03-15 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2020-03-15_final
2020-03-15 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2020-03-15_final
2020-03-15 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2020-03-15_final
2020-03-15 11:13:27	ga_s2bm_ard_3-2-1_51KZS_2020-03-15_final
2020-03-15 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2020-03-15_final
2020-03-15 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2020-03-15_final
2020-03-15 11:14:06	ga_s2bm_ard_3-2-1_52JET_2020-03-15_final
2020-03-15 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2020-03-15_final
2020-03-15 11:14:15	ga_s2bm_ard_3-2-1_52JDT_2020-03-15_final
2020-03-15 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2020-03-15_final
2020-03-15 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2020-03-15_final
2020-03-15 11:14:21	ga_s2bm_ard_3-2-1_52JBT_2020-03-15_final
2020-03-15 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2020-03-15_final
2020-03-15 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2020-03-15_final
2020-03-15 11:14:44	ga_s2bm_ard_3-2-1_52JDR_2020-03-15_final
2020-03-15 11:14:47	ga_s2bm_ard_3-2-1_52JCR_2020-03-15_final
2020-03-15 11:15:10	ga_s2bm_ard_3-2-1_52JDP_2020-03-15_final
2020-03-15 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2020-03-15_final
2020-03-15 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2020-03-15_final
2020-03-15 11:15:34	ga_s2bm_ard_3-2-1_52JBN_2020-03-15_final
2020-03-15 11:15:37	ga_s2bm_ard_3-2-1_51JYH_2020-03-15_final
2020-03-15 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2020-03-15_final
2020-03-15 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2020-03-15_final
2020-03-15 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2020-03-15_final
2020-03-15 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2020-03-15_final
2020-03-15 11:16:53	ga_s2bm_ard_3-2-1_51HXC_2020-03-15_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