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
2022-01-06 11:52:59	ga_s2bm_ard_3-2-1_50KRD_2022-01-06_final
2022-01-06 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-01-06_final
2022-01-06 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2022-01-06_final
2022-01-06 11:53:28	ga_s2bm_ard_3-2-1_50KQB_2022-01-06_final
2022-01-06 11:53:32	ga_s2bm_ard_3-2-1_50KPB_2022-01-06_final
2022-01-06 11:53:42	ga_s2bm_ard_3-2-1_50KQA_2022-01-06_final
2022-01-06 11:53:46	ga_s2bm_ard_3-2-1_50KPA_2022-01-06_final
2022-01-06 11:54:01	ga_s2bm_ard_3-2-1_50KPV_2022-01-06_final
2022-01-06 11:54:04	ga_s2bm_ard_3-2-1_50KNV_2022-01-06_final
2022-01-06 11:54:07	ga_s2bm_ard_3-2-1_50KMV_2022-01-06_final
2022-01-06 11:54:19	ga_s2bm_ard_3-2-1_50KNU_2022-01-06_final
2022-01-06 11:54:22	ga_s2bm_ard_3-2-1_50KMU_2022-01-06_final
2022-01-06 11:54:58	ga_s2bm_ard_3-2-1_50JPR_2022-01-06_final
2022-01-06 11:55:02	ga_s2bm_ard_3-2-1_50JNR_2022-01-06_final
2022-01-06 11:55:06	ga_s2bm_ard_3-2-1_50JMR_2022-01-06_final
2022-01-06 11:55:09	ga_s2bm_ard_3-2-1_50JLR_2022-01-06_final
2022-01-06 11:55:16	ga_s2bm_ard_3-2-1_50JNQ_2022-01-06_final
2022-01-06 11:55:20	ga_s2bm_ard_3-2-1_50JMQ_2022-01-06_final
2022-01-06 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2022-01-06_final
2022-01-06 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-01-06_final
2022-01-06 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2022-01-06_final
2022-01-06 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2022-01-06_final
2022-01-06 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-01-06_final
2022-01-06 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2022-01-06_final
2022-01-06 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2022-01-06_final.stac-item
2022-01-07 09:41:23	ga_s2bm_ard_3-2-1_56KLG_2022-01-07_final.stac-item
2022-01-07 09:41:37	ga_s2bm_ard_3-2-1_56KLF_2022-01-07_final
2022-01-07 09:42:29	ga_s2bm_ard_3-2-1_55KGT_2022-01-07_final
2022-01-07 09:42:39	ga_s2bm_ard_3-2-1_56KKB_2022-01-07_final
2022-01-07 09:42:43	ga_s2bm_ard_3-2-1_55KGS_2022-01-07_final
2022-01-07 09:42:50	ga_s2bm_ard_3-2-1_56KLA_2022-01-07_final
2022-01-07 09:42:54	ga_s2bm_ard_3-2-1_55KHR_2022-01-07_final
2022-01-07 09:43:04	ga_s2bm_ard_3-2-1_56KLV_2022-01-07_final
2022-01-07 09:43:51	ga_s2bm_ard_3-2-1_55JHM_2022-01-07_final
2022-01-07 09:44:02	ga_s2bm_ard_3-2-1_56JLR_2022-01-07_final
2022-01-07 09:44:21	ga_s2bm_ard_3-2-1_55JEL_2022-01-07_final
2022-01-07 09:44:32	ga_s2bm_ard_3-2-1_55JEK_2022-01-07_final
2022-01-07 09:44:50	ga_s2bm_ard_3-2-1_56JKN_2022-01-07_final
2022-01-07 09:44:53	ga_s2bm_ard_3-2-1_55JGH_2022-01-07_final
2022-01-07 09:44:57	ga_s2bm_ard_3-2-1_55JFH_2022-01-07_final
2022-01-07 09:45:15	ga_s2bm_ard_3-2-1_55JEG_2022-01-07_final
2022-01-07 09:45:18	ga_s2bm_ard_3-2-1_56JKL_2022-01-07_final
2022-01-07 09:45:22	ga_s2bm_ard_3-2-1_55JGF_2022-01-07_final
2022-01-07 09:45:22	ga_s2bm_ard_3-2-1_55JDG_2022-01-07_final
2022-01-07 09:45:44	ga_s2bm_ard_3-2-1_55HEE_2022-01-07_final
2022-01-07 09:45:47	ga_s2bm_ard_3-2-1_55HDE_2022-01-07_final
2022-01-07 09:45:55	ga_s2bm_ard_3-2-1_55HFD_2022-01-07_final
2022-01-07 09:47:15	ga_s2bm_ard_3-2-1_55HFT_2022-01-07_final.stac-item
2022-01-07 09:47:25	ga_s2bm_ard_3-2-1_55HET_2022-01-07_final
2022-01-07 09:47:29	ga_s2bm_ard_3-2-1_55HDT_2022-01-07_final
2022-01-07 09:47:32	ga_s2bm_ard_3-2-1_55HCT_2022-01-07_final
2022-01-07 09:47:36	ga_s2bm_ard_3-2-1_55HBT_2022-01-07_final
2022-01-07 09:47:40	ga_s2bm_ard_3-2-1_54HYC_2022-01-07_final
2022-01-07 09:48:18	ga_s2bm_ard_3-2-1_55GEP_2022-01-07_final
2022-01-07 09:48:27	ga_s2bm_ard_3-2-1_55GDP_2022-01-07_final
2022-01-07 09:48:31	ga_s2bm_ard_3-2-1_55GCP_2022-01-07_final
2022-01-07 11:20:54	ga_s2bm_ard_3-2-1_52LEL_2022-01-07_final.stac-item
2022-01-07 11:21:04	ga_s2bm_ard_3-2-1_52LEK_2022-01-07_final.stac-item
2022-01-07 11:21:17	ga_s2bm_ard_3-2-1_52LCK_2022-01-07_final.stac-item
2022-01-07 11:21:20	ga_s2bm_ard_3-2-1_52LBK_2022-01-07_final
2022-01-07 11:21:32	ga_s2bm_ard_3-2-1_52LCJ_2022-01-07_final
2022-01-07 11:21:35	ga_s2bm_ard_3-2-1_52LBJ_2022-01-07_final
2022-01-07 11:21:36	ga_s2bm_ard_3-2-1_51LZD_2022-01-07_final
2022-01-07 11:21:50	ga_s2bm_ard_3-2-1_51LZC_2022-01-07_final
2022-01-07 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2022-01-07_final
2022-01-07 11:22:15	ga_s2bm_ard_3-2-1_52KCF_2022-01-07_final
2022-01-07 11:22:33	ga_s2bm_ard_3-2-1_52KBE_2022-01-07_final
2022-01-07 11:22:34	ga_s2bm_ard_3-2-1_51KZV_2022-01-07_final
2022-01-07 11:22:37	ga_s2bm_ard_3-2-1_51KYV_2022-01-07_final
2022-01-07 11:22:48	ga_s2bm_ard_3-2-1_52KBD_2022-01-07_final
2022-01-07 11:22:48	ga_s2bm_ard_3-2-1_51KZU_2022-01-07_final
2022-01-07 11:22:59	ga_s2bm_ard_3-2-1_52KCC_2022-01-07_final
2022-01-07 11:23:02	ga_s2bm_ard_3-2-1_52KBC_2022-01-07_final
2022-01-07 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2022-01-07_final
2022-01-07 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2022-01-07_final
2022-01-07 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2022-01-07_final
2022-01-07 11:23:12	ga_s2bm_ard_3-2-1_52KCB_2022-01-07_final
2022-01-07 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2022-01-07_final
2022-01-07 11:23:23	ga_s2bm_ard_3-2-1_52KCA_2022-01-07_final
2022-01-07 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2022-01-07_final
2022-01-07 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2022-01-07_final
2022-01-07 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2022-01-07_final
2022-01-07 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2022-01-07_final
2022-01-07 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2022-01-07_final
2022-01-07 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2022-01-07_final
2022-01-07 11:24:11	ga_s2bm_ard_3-2-1_51KWP_2022-01-07_final
2022-01-07 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2022-01-07_final
2022-01-07 11:24:28	ga_s2bm_ard_3-2-1_51JZM_2022-01-07_final
2022-01-07 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2022-01-07_final
2022-01-07 11:24:55	ga_s2bm_ard_3-2-1_51JWL_2022-01-07_final
2022-01-07 11:24:59	ga_s2bm_ard_3-2-1_51JVL_2022-01-07_final
2022-01-07 11:25:08	ga_s2bm_ard_3-2-1_51JWK_2022-01-07_final
2022-01-07 11:25:10	ga_s2bm_ard_3-2-1_51JVK_2022-01-07_final
2022-01-07 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2022-01-07_final
2022-01-07 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2022-01-07_final
2022-01-07 11:25:30	ga_s2bm_ard_3-2-1_51JYH_2022-01-07_final
2022-01-07 11:25:35	ga_s2bm_ard_3-2-1_51JXH_2022-01-07_final
2022-01-07 11:25:56	ga_s2bm_ard_3-2-1_51JVG_2022-01-07_final
2022-01-07 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2022-01-07_final
2022-01-07 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2022-01-07_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