Search ga_s2bm_ard_3 across 2017

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
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JLL_2017-06-30_final
2017-07-02 09:42:30	ga_s2bm_ard_3-2-1_55KHP_2017-07-02_final
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_49KHP_2017-07-04_final
2017-07-08 10:01:16	ga_s2bm_ard_3-2-1_55JCL_2017-07-08_final
2017-07-12 09:42:13	ga_s2bm_ard_3-2-1_55KHP_2017-07-12_final
2017-07-12 09:43:22	ga_s2bm_ard_3-2-1_55KHP_2017-07-12_final
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51JZM_2017-07-12_final
2017-07-17 12:13:21	ga_s2bm_ard_3-2-1_49KHP_2017-07-17_final
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49KHP_2017-07-17_final
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_50JPR_2017-07-18_final
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2017-07-18_final
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_51JZM_2017-07-19_final
2017-07-20 10:43:06	ga_s2bm_ard_3-2-1_53JLL_2017-07-20_final
2017-07-22 09:42:13	ga_s2bm_ard_3-2-1_55KHP_2017-07-22_final
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49KHP_2017-07-24_final
2017-07-28 10:01:05	ga_s2bm_ard_3-2-1_55JCL_2017-07-28_final
2017-08-01 09:42:12	ga_s2bm_ard_3-2-1_55KHP_2017-08-01_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2017-08-06_final
2017-08-06 12:13:20	ga_s2bm_ard_3-2-1_49JHN_2017-08-06_final
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_50JPR_2017-08-07_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50JPR_2017-08-07_final
2017-08-09 10:43:05	ga_s2bm_ard_3-2-1_53JLL_2017-08-09_final
2017-08-11 09:42:11	ga_s2bm_ard_3-2-1_55KHP_2017-08-11_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2017-08-13_final
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55JCL_2017-08-17_final
2017-08-18 09:32:15	ga_s2bm_ard_3-2-1_56JNR_2017-08-18_final.stac-item
2017-08-21 09:41:08	ga_s2bm_ard_3-2-1_55KHP_2017-08-21_final
2017-08-21 11:18:37	ga_s2bm_ard_3-2-1_51JZM_2017-08-21_final
2017-08-23 10:17:02	ga_s2bm_ard_3-2-1_54KUB_2017-08-23_final
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHP_2017-08-26_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPR_2017-08-27_final
2017-08-31 09:37:25	ga_s2bm_ard_3-2-1_55KHP_2017-08-31_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHP_2017-09-02_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_55JCL_2017-09-06_final
2017-09-10 09:41:02	ga_s2bm_ard_3-2-1_55KHP_2017-09-10_final
2017-09-12 10:16:57	ga_s2bm_ard_3-2-1_54KUB_2017-09-12_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KHP_2017-09-15_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JPR_2017-09-16_final
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_51JZM_2017-09-17_final
2017-09-18 10:42:55	ga_s2bm_ard_3-2-1_53JLL_2017-09-18_final
2017-09-20 09:37:19	ga_s2bm_ard_3-2-1_55KHP_2017-09-20_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-09-22_final
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_55JCL_2017-09-26_final
2017-09-30 09:40:53	ga_s2bm_ard_3-2-1_55KHP_2017-09-30_final
2017-10-02 10:16:50	ga_s2bm_ard_3-2-1_54KUB_2017-10-02_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_49KHP_2017-10-05_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50JPR_2017-10-06_final
2017-10-08 10:42:51	ga_s2bm_ard_3-2-1_53JLL_2017-10-08_final
2017-10-10 09:41:58	ga_s2bm_ard_3-2-1_55KHP_2017-10-10_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KHP_2017-10-12_final
2017-10-16 10:03:15	ga_s2bm_ard_3-2-1_55JCL_2017-10-16_final
2017-10-20 09:40:55	ga_s2bm_ard_3-2-1_55KHP_2017-10-20_final
2017-10-22 10:16:52	ga_s2bm_ard_3-2-1_54KUB_2017-10-22_final
2017-10-23 09:50:41	ga_s2bm_ard_3-2-1_55JCL_2017-10-23_final
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KHP_2017-10-25_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50JPR_2017-10-26_final
2017-10-28 10:42:53	ga_s2bm_ard_3-2-1_53JLL_2017-10-28_final
2017-10-30 09:41:59	ga_s2bm_ard_3-2-1_55KHP_2017-10-30_final
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_54KUB_2017-11-01_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49KHP_2017-11-01_final
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHP_2017-11-04_final
2017-11-05 10:03:42	ga_s2bm_ard_3-2-1_55JCL_2017-11-05_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50JPR_2017-11-05_final
2017-11-07 10:37:13	ga_s2bm_ard_3-2-1_53JLL_2017-11-07_final
2017-11-09 09:42:14	ga_s2bm_ard_3-2-1_55KHP_2017-11-09_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JZM_2017-11-09_final
2017-11-11 10:16:52	ga_s2bm_ard_3-2-1_54KUB_2017-11-11_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHP_2017-11-11_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KHP_2017-11-14_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_50JPR_2017-11-15_final
2017-11-17 10:42:53	ga_s2bm_ard_3-2-1_53JLL_2017-11-17_final
2017-11-19 09:42:00	ga_s2bm_ard_3-2-1_55KHP_2017-11-19_final
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_54KUB_2017-11-21_final
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-11-21_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49KHP_2017-11-24_final
2017-11-25 10:01:29	ga_s2bm_ard_3-2-1_55JCL_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50JPR_2017-11-25_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53JLL_2017-11-27_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KHP_2017-12-01_final
2017-12-05 09:56:56	ga_s2bm_ard_3-2-1_55JCL_2017-12-05_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPR_2017-12-05_final
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_53JLL_2017-12-07_final
2017-12-09 09:42:01	ga_s2bm_ard_3-2-1_55KHP_2017-12-09_final
2017-12-11 10:16:54	ga_s2bm_ard_3-2-1_54KUB_2017-12-11_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-12-11_final
2017-12-13 09:22:33	ga_s2bm_ard_3-2-1_56JNR_2017-12-12_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KHP_2017-12-14_final
2017-12-15 10:01:29	ga_s2bm_ard_3-2-1_55JCL_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50JPR_2017-12-15_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_51JZM_2017-12-16_final
2017-12-17 10:37:15	ga_s2bm_ard_3-2-1_53JLL_2017-12-17_final
2017-12-19 09:42:15	ga_s2bm_ard_3-2-1_55KHP_2017-12-19_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JZM_2017-12-19_final
2017-12-21 10:16:53	ga_s2bm_ard_3-2-1_54KUB_2017-12-21_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KHP_2017-12-21_final
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KHP_2017-12-24_final
2017-12-25 09:56:56	ga_s2bm_ard_3-2-1_55JCL_2017-12-25_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50JPR_2017-12-25_final
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_53JLL_2017-12-27_final
2017-12-29 09:42:02	ga_s2bm_ard_3-2-1_55KHP_2017-12-29_final

Return to ga_s2bm_ard_3 across 2017 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

2017

All months