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
2017-07-01 10:11:31	ga_s2bm_ard_3-2-1_54HVF_2017-07-01_final
2017-07-01 10:11:31	ga_s2bm_ard_3-2-1_54HVE_2017-07-01_final
2017-07-01 10:11:31	ga_s2bm_ard_3-2-1_54HWF_2017-07-01_final
2017-07-01 10:11:31	ga_s2bm_ard_3-2-1_54HWE_2017-07-01_final
2017-07-01 10:16:56	ga_s2bm_ard_3-2-1_54HVF_2017-07-01_final
2017-07-01 10:16:56	ga_s2bm_ard_3-2-1_54HWF_2017-07-01_final
2017-07-08 10:01:16	ga_s2bm_ard_3-2-1_55HBC_2017-07-08_final
2017-07-08 10:06:41	ga_s2bm_ard_3-2-1_54HVF_2017-07-08_final
2017-07-08 10:06:41	ga_s2bm_ard_3-2-1_54HWF_2017-07-08_final
2017-07-11 10:15:54	ga_s2bm_ard_3-2-1_54HVF_2017-07-11_final
2017-07-11 10:15:54	ga_s2bm_ard_3-2-1_54HWF_2017-07-11_final
2017-07-15 09:52:35	ga_s2bm_ard_3-2-1_55HBC_2017-07-15_final
2017-07-18 10:05:52	ga_s2bm_ard_3-2-1_55HBC_2017-07-18_final
2017-07-21 10:16:30	ga_s2bm_ard_3-2-1_54HVF_2017-07-21_final
2017-07-21 10:16:30	ga_s2bm_ard_3-2-1_54HWF_2017-07-21_final
2017-07-25 09:55:55	ga_s2bm_ard_3-2-1_55HBC_2017-07-25_final
2017-07-28 10:01:05	ga_s2bm_ard_3-2-1_55HBC_2017-07-28_final
2017-07-28 10:06:30	ga_s2bm_ard_3-2-1_54HVF_2017-07-28_final
2017-07-28 10:06:30	ga_s2bm_ard_3-2-1_54HWF_2017-07-28_final
2017-07-31 10:15:53	ga_s2bm_ard_3-2-1_54HVF_2017-07-31_final
2017-07-31 10:15:53	ga_s2bm_ard_3-2-1_54HWF_2017-07-31_final
2017-08-07 10:05:50	ga_s2bm_ard_3-2-1_55HBC_2017-08-07_final
2017-08-14 09:55:52	ga_s2bm_ard_3-2-1_55HBC_2017-08-14_final
2017-08-17 10:01:13	ga_s2bm_ard_3-2-1_55HBC_2017-08-17_final
2017-08-17 10:06:38	ga_s2bm_ard_3-2-1_54HVF_2017-08-17_final
2017-08-17 10:06:38	ga_s2bm_ard_3-2-1_54HWF_2017-08-17_final
2017-08-20 10:15:50	ga_s2bm_ard_3-2-1_54HVF_2017-08-20_final
2017-08-20 10:15:50	ga_s2bm_ard_3-2-1_54HWF_2017-08-20_final
2017-08-24 09:52:31	ga_s2bm_ard_3-2-1_55HBC_2017-08-24_final
2017-08-27 10:05:47	ga_s2bm_ard_3-2-1_55HBC_2017-08-27_final
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_54HVF_2017-08-30_final
2017-08-30 10:13:11	ga_s2bm_ard_3-2-1_54HWF_2017-08-30_final
2017-09-03 09:55:48	ga_s2bm_ard_3-2-1_55HBC_2017-09-03_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_54HVF_2017-09-06_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_54HWF_2017-09-06_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_55HBC_2017-09-06_final
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_54HVF_2017-09-09_final
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_54HWF_2017-09-09_final
2017-09-13 09:54:18	ga_s2bm_ard_3-2-1_55HBC_2017-09-13_final
2017-09-16 10:05:41	ga_s2bm_ard_3-2-1_55HBC_2017-09-16_final
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_54HVF_2017-09-19_final
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_54HWF_2017-09-19_final
2017-09-23 09:55:42	ga_s2bm_ard_3-2-1_55HBC_2017-09-23_final
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_54HVF_2017-09-26_final
2017-09-26 10:03:15	ga_s2bm_ard_3-2-1_54HWF_2017-09-26_final
2017-09-29 10:15:38	ga_s2bm_ard_3-2-1_54HVF_2017-09-29_final
2017-09-29 10:15:38	ga_s2bm_ard_3-2-1_54HWF_2017-09-29_final
2017-10-03 09:54:00	ga_s2bm_ard_3-2-1_55HBC_2017-10-03_final
2017-10-06 10:05:37	ga_s2bm_ard_3-2-1_55HBC_2017-10-06_final
2017-10-09 10:13:02	ga_s2bm_ard_3-2-1_54HVF_2017-10-09_final
2017-10-09 10:13:02	ga_s2bm_ard_3-2-1_54HWF_2017-10-09_final
2017-10-13 09:55:40	ga_s2bm_ard_3-2-1_55HBC_2017-10-13_final
2017-10-16 10:03:15	ga_s2bm_ard_3-2-1_54HVF_2017-10-16_final
2017-10-16 10:03:15	ga_s2bm_ard_3-2-1_54HWF_2017-10-16_final
2017-10-16 10:03:15	ga_s2bm_ard_3-2-1_55HBC_2017-10-16_final
2017-10-19 10:15:40	ga_s2bm_ard_3-2-1_54HVF_2017-10-19_final
2017-10-19 10:15:40	ga_s2bm_ard_3-2-1_54HWF_2017-10-19_final
2017-10-23 09:54:03	ga_s2bm_ard_3-2-1_55HBC_2017-10-23_final
2017-10-26 10:05:38	ga_s2bm_ard_3-2-1_55HBC_2017-10-26_final
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_54HVF_2017-10-29_final
2017-10-29 10:13:28	ga_s2bm_ard_3-2-1_54HWF_2017-10-29_final
2017-11-02 09:51:42	ga_s2bm_ard_3-2-1_55HBC_2017-11-02_final
2017-11-05 10:03:42	ga_s2bm_ard_3-2-1_54HVF_2017-11-05_final
2017-11-05 10:03:42	ga_s2bm_ard_3-2-1_54HWF_2017-11-05_final
2017-11-05 10:03:42	ga_s2bm_ard_3-2-1_55HBC_2017-11-05_final
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54HVF_2017-11-08_final
2017-11-08 10:06:51	ga_s2bm_ard_3-2-1_54HWF_2017-11-08_final
2017-11-12 09:54:25	ga_s2bm_ard_3-2-1_55HBC_2017-11-12_final
2017-11-18 10:13:29	ga_s2bm_ard_3-2-1_54HVF_2017-11-18_final
2017-11-18 10:13:29	ga_s2bm_ard_3-2-1_54HWF_2017-11-18_final
2017-11-22 09:51:43	ga_s2bm_ard_3-2-1_55HBC_2017-11-22_final
2017-11-25 10:01:29	ga_s2bm_ard_3-2-1_54HVF_2017-11-25_final
2017-11-25 10:01:29	ga_s2bm_ard_3-2-1_54HWF_2017-11-25_final
2017-11-25 10:01:29	ga_s2bm_ard_3-2-1_55HBC_2017-11-25_final
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54HVF_2017-11-28_final
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54HWF_2017-11-28_final
2017-12-02 09:52:46	ga_s2bm_ard_3-2-1_55HBC_2017-12-02_final
2017-12-05 09:56:56	ga_s2bm_ard_3-2-1_54HVF_2017-12-05_final
2017-12-05 09:56:56	ga_s2bm_ard_3-2-1_54HWF_2017-12-05_final
2017-12-05 09:56:56	ga_s2bm_ard_3-2-1_55HBC_2017-12-05_final
2017-12-08 10:11:20	ga_s2bm_ard_3-2-1_54HVF_2017-12-08_final
2017-12-08 10:11:20	ga_s2bm_ard_3-2-1_54HVE_2017-12-08_final
2017-12-08 10:11:20	ga_s2bm_ard_3-2-1_54HWF_2017-12-08_final
2017-12-08 10:11:20	ga_s2bm_ard_3-2-1_54HWE_2017-12-08_final
2017-12-08 10:16:45	ga_s2bm_ard_3-2-1_54HVF_2017-12-08_final
2017-12-08 10:16:45	ga_s2bm_ard_3-2-1_54HWF_2017-12-08_final
2017-12-12 09:51:43	ga_s2bm_ard_3-2-1_55HBC_2017-12-12_final
2017-12-15 10:01:29	ga_s2bm_ard_3-2-1_54HVF_2017-12-15_final
2017-12-15 10:01:29	ga_s2bm_ard_3-2-1_54HWF_2017-12-15_final
2017-12-15 10:01:29	ga_s2bm_ard_3-2-1_55HBC_2017-12-15_final
2017-12-18 10:06:52	ga_s2bm_ard_3-2-1_54HVF_2017-12-18_final
2017-12-18 10:06:52	ga_s2bm_ard_3-2-1_54HWF_2017-12-18_final
2017-12-22 09:52:45	ga_s2bm_ard_3-2-1_55HBC_2017-12-22_final
2017-12-25 09:56:56	ga_s2bm_ard_3-2-1_54HVF_2017-12-25_final
2017-12-25 09:56:56	ga_s2bm_ard_3-2-1_54HWF_2017-12-25_final
2017-12-25 09:56:56	ga_s2bm_ard_3-2-1_55HBC_2017-12-25_final
2017-12-28 10:11:20	ga_s2bm_ard_3-2-1_54HVF_2017-12-28_final
2017-12-28 10:11:20	ga_s2bm_ard_3-2-1_54HWF_2017-12-28_final
2017-12-28 10:11:20	ga_s2bm_ard_3-2-1_54HWE_2017-12-28_final
2017-12-28 10:16:45	ga_s2bm_ard_3-2-1_54HVF_2017-12-28_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