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
2019-01-09 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-01-09_final
2019-01-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-01-09_final
2019-01-12 11:52:53	ga_s2bm_ard_3-2-1_51KTU_2019-01-12_final
2019-01-12 11:52:58	ga_s2bm_ard_3-2-1_50KRD_2019-01-12_final
2019-01-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-01-16_final
2019-01-19 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-01-19_final
2019-01-22 11:52:54	ga_s2bm_ard_3-2-1_51KTU_2019-01-22_final
2019-01-22 11:52:55	ga_s2bm_ard_3-2-1_50KRD_2019-01-22_final
2019-01-22 11:52:57	ga_s2bm_ard_3-2-1_51KTU_2019-01-22_final
2019-01-22 11:53:01	ga_s2bm_ard_3-2-1_50KRD_2019-01-22_final
2019-02-04 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2019-02-04_final
2019-02-04 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2019-02-04_final
2019-02-07 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2019-02-07_final
2019-02-07 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-02-07_final
2019-02-07 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2019-02-07_final
2019-02-07 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-02-07_final
2019-02-07 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-02-07_final
2019-02-14 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2019-02-14_final
2019-02-14 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-02-14_final
2019-02-14 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-02-14_final
2019-02-14 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2019-02-14_final
2019-02-17 12:13:54	ga_s2bm_ard_3-2-1_50KKA_2019-02-17_final
2019-02-17 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-02-17_final
2019-02-17 12:14:07	ga_s2bm_ard_3-2-1_50KKV_2019-02-17_final
2019-02-17 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-02-17_final
2019-02-17 12:14:18	ga_s2bm_ard_3-2-1_50KKU_2019-02-17_final
2019-02-17 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-02-17_final
2019-02-24 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2019-02-24_final
2019-02-24 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2019-02-24_final
2019-02-24 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-02-24_final
2019-02-24 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2019-02-24_final
2019-02-24 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2019-02-24_final
2019-02-24 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-02-24_final
2019-02-24 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2019-02-24_final
2019-02-24 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2019-02-24_final
2019-02-24 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-02-24_final
2019-02-24 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2019-02-24_final
2019-02-27 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2019-02-27_final
2019-02-27 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-02-27_final
2019-02-27 12:14:06	ga_s2bm_ard_3-2-1_50KKV_2019-02-27_final
2019-02-27 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2019-02-27_final
2019-02-27 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2019-02-27_final
2019-02-27 12:14:44	ga_s2bm_ard_3-2-1_49JFN_2019-02-27_final
2019-03-03 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2019-03-03_final
2019-03-03 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2019-03-03_final
2019-03-04 11:23:31	ga_s2bm_ard_3-2-1_51KYR_2019-03-04_final
2019-03-06 12:06:12	ga_s2bm_ard_3-2-1_50JLL_2019-03-06_final
2019-03-10 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2019-03-10_final
2019-03-10 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2019-03-10_final
2019-03-10 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2019-03-10_final
2019-03-13 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2019-03-13_final
2019-03-13 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2019-03-13_final
2019-03-13 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2019-03-13_final
2019-03-16 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2019-03-16_final
2019-03-17 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2019-03-17_final
2019-03-17 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2019-03-17_final
2019-03-17 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2019-03-17_final
2019-03-20 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2019-03-20_final
2019-03-20 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2019-03-20_final
2019-03-20 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2019-03-20_final
2019-03-20 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2019-03-20_final
2019-03-20 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2019-03-20_final
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-03-20_final
2019-03-20 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2019-03-20_final
2019-03-20 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-03-20_final
2019-03-21 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2019-03-21_final
2019-03-23 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2019-03-23_final
2019-03-23 11:56:22	ga_s2bm_ard_3-2-1_50JML_2019-03-23_final
2019-03-23 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-03-23_final
2019-03-23 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-03-23_final
2019-03-23 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-03-23_final
2019-03-26 12:06:15	ga_s2bm_ard_3-2-1_50JLL_2019-03-26_final
2019-03-27 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2019-03-27_final
2019-03-27 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2019-03-27_final
2019-03-27 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2019-03-27_final
2019-03-27 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2019-03-27_final
2019-03-30 11:45:59	ga_s2bm_ard_3-2-1_51JTG_2019-03-30_final
2019-03-30 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2019-03-30_final
2019-03-30 11:46:09	ga_s2bm_ard_3-2-1_51JTF_2019-03-30_final
2019-03-30 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2019-03-30_final
2019-03-30 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2019-03-30_final
2019-03-30 11:46:28	ga_s2bm_ard_3-2-1_50JML_2019-03-30_final
2019-03-30 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2019-03-30_final
2019-03-30 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2019-03-30_final
2019-03-30 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2019-03-30_final
2019-03-30 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2019-03-30_final
2019-03-30 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2019-03-30_final
2020-02-06 11:52:53	ga_s2bm_ard_3-2-1_50KRD_2020-02-06_final
2020-02-06 11:53:11	ga_s2bm_ard_3-2-1_50KQC_2020-02-06_final
2020-02-06 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2020-02-06_final
2020-02-06 11:53:18	ga_s2bm_ard_3-2-1_50KNC_2020-02-06_final
2020-02-06 11:54:05	ga_s2bm_ard_3-2-1_50KMV_2020-02-06_final
2020-02-06 11:54:16	ga_s2bm_ard_3-2-1_50KNU_2020-02-06_final
2020-02-06 11:54:20	ga_s2bm_ard_3-2-1_50KMU_2020-02-06_final
2020-02-06 11:54:31	ga_s2bm_ard_3-2-1_50JNT_2020-02-06_final
2020-02-06 11:55:03	ga_s2bm_ard_3-2-1_50JMR_2020-02-06_final
2020-02-06 11:55:32	ga_s2bm_ard_3-2-1_50JMP_2020-02-06_final
2020-02-06 11:55:43	ga_s2bm_ard_3-2-1_50JNN_2020-02-06_final
2020-02-12 12:13:35	ga_s2bm_ard_3-2-1_50KKB_2020-02-12_final
2020-02-12 12:15:15	ga_s2bm_ard_3-2-1_49JGK_2020-02-12_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