Search ga_s2bm_ard_3 across October 2020

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
2020-10-01 09:34:17	ga_s2bm_ard_3-2-1_56JKR_2020-10-01_final
2020-10-01 09:35:18	ga_s2bm_ard_3-2-1_55JGG_2020-10-01_final
2020-10-01 09:35:53	ga_s2bm_ard_3-2-1_55HFE_2020-10-01_final
2020-10-01 11:15:54	ga_s2bm_ard_3-2-1_52JBM_2020-10-01_final
2020-10-01 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-10-01_final
2020-10-02 10:45:47	ga_s2bm_ard_3-2-1_53JKG_2020-10-02_final
2020-10-02 10:45:50	ga_s2bm_ard_3-2-1_52JGM_2020-10-02_final
2020-10-03 10:16:55	ga_s2bm_ard_3-2-1_54HWF_2020-10-03_final
2020-10-03 10:17:00	ga_s2bm_ard_3-2-1_54HVF_2020-10-03_final
2020-10-04 09:44:14	ga_s2bm_ard_3-2-1_56JKR_2020-10-04_final
2020-10-04 09:45:15	ga_s2bm_ard_3-2-1_55JGG_2020-10-04_final
2020-10-04 09:45:47	ga_s2bm_ard_3-2-1_55HFE_2020-10-04_final
2020-10-04 09:46:53	ga_s2bm_ard_3-2-1_55HDA_2020-10-04_final
2020-10-04 11:25:48	ga_s2bm_ard_3-2-1_51JYG_2020-10-04_final
2020-10-05 10:55:42	ga_s2bm_ard_3-2-1_53JKG_2020-10-05_final
2020-10-05 10:55:45	ga_s2bm_ard_3-2-1_52JGM_2020-10-05_final
2020-10-06 10:24:37	ga_s2bm_ard_3-2-1_54JTR_2020-10-06_final
2020-10-06 10:25:35	ga_s2bm_ard_3-2-1_54JTM_2020-10-06_final
2020-10-06 10:25:38	ga_s2bm_ard_3-2-1_53JQG_2020-10-06_final
2020-10-06 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-10-06_final
2020-10-07 09:55:28	ga_s2bm_ard_3-2-1_55JBG_2020-10-07_final
2020-10-07 09:56:49	ga_s2bm_ard_3-2-1_55HDA_2020-10-07_final
2020-10-07 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2020-10-07_final
2020-10-08 11:06:02	ga_s2bm_ard_3-2-1_52JBM_2020-10-08_final
2020-10-09 10:35:34	ga_s2bm_ard_3-2-1_53JQG_2020-10-09_final
2020-10-09 10:37:12	ga_s2bm_ard_3-2-1_53HPV_2020-10-09_final.stac-item
2020-10-10 10:05:24	ga_s2bm_ard_3-2-1_55JBG_2020-10-10_final
2020-10-10 10:05:27	ga_s2bm_ard_3-2-1_54JYM_2020-10-10_final
2020-10-10 10:07:01	ga_s2bm_ard_3-2-1_54HWF_2020-10-10_final
2020-10-10 10:07:04	ga_s2bm_ard_3-2-1_54HVF_2020-10-10_final
2020-10-10 11:46:04	ga_s2bm_ard_3-2-1_50JQM_2020-10-10_final
2020-10-11 09:34:18	ga_s2bm_ard_3-2-1_56JKR_2020-10-11_final
2020-10-11 09:35:19	ga_s2bm_ard_3-2-1_55JGG_2020-10-11_final
2020-10-11 09:35:54	ga_s2bm_ard_3-2-1_55HFE_2020-10-11_final
2020-10-11 11:15:54	ga_s2bm_ard_3-2-1_52JBM_2020-10-11_final
2020-10-11 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-10-11_final
2020-10-12 10:45:47	ga_s2bm_ard_3-2-1_53JKG_2020-10-12_final
2020-10-12 10:45:51	ga_s2bm_ard_3-2-1_52JGM_2020-10-12_final
2020-10-13 10:16:56	ga_s2bm_ard_3-2-1_54HWF_2020-10-13_final
2020-10-13 10:17:00	ga_s2bm_ard_3-2-1_54HVF_2020-10-13_final
2020-10-14 09:44:14	ga_s2bm_ard_3-2-1_56JKR_2020-10-14_final
2020-10-14 09:45:15	ga_s2bm_ard_3-2-1_55JGG_2020-10-14_final
2020-10-14 09:45:48	ga_s2bm_ard_3-2-1_55HFE_2020-10-14_final
2020-10-14 09:46:53	ga_s2bm_ard_3-2-1_55HDA_2020-10-14_final
2020-10-14 11:25:49	ga_s2bm_ard_3-2-1_51JYG_2020-10-14_final
2020-10-15 10:55:43	ga_s2bm_ard_3-2-1_53JKG_2020-10-15_final
2020-10-15 10:55:46	ga_s2bm_ard_3-2-1_52JGM_2020-10-15_final
2020-10-16 10:24:37	ga_s2bm_ard_3-2-1_54JTR_2020-10-16_final
2020-10-16 10:25:35	ga_s2bm_ard_3-2-1_54JTM_2020-10-16_final
2020-10-16 10:25:38	ga_s2bm_ard_3-2-1_53JQG_2020-10-16_final
2020-10-16 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-10-16_final
2020-10-17 09:55:28	ga_s2bm_ard_3-2-1_55JBG_2020-10-17_final
2020-10-17 09:56:49	ga_s2bm_ard_3-2-1_55HDA_2020-10-17_final
2020-10-17 11:36:06	ga_s2bm_ard_3-2-1_51JTG_2020-10-17_final
2020-10-17 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2020-10-17_final
2020-10-19 10:35:34	ga_s2bm_ard_3-2-1_53JQG_2020-10-19_final
2020-10-19 10:37:12	ga_s2bm_ard_3-2-1_53HPV_2020-10-19_final.stac-item
2020-10-20 10:05:24	ga_s2bm_ard_3-2-1_55JBG_2020-10-20_final
2020-10-20 10:05:27	ga_s2bm_ard_3-2-1_54JYM_2020-10-20_final
2020-10-20 10:07:01	ga_s2bm_ard_3-2-1_54HWF_2020-10-20_final
2020-10-20 10:07:04	ga_s2bm_ard_3-2-1_54HVF_2020-10-20_final
2020-10-20 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2020-10-20_final
2020-10-20 11:46:04	ga_s2bm_ard_3-2-1_50JQM_2020-10-20_final
2020-10-21 09:34:18	ga_s2bm_ard_3-2-1_56JKR_2020-10-21_final
2020-10-21 09:35:19	ga_s2bm_ard_3-2-1_55JGG_2020-10-21_final
2020-10-21 09:35:54	ga_s2bm_ard_3-2-1_55HFE_2020-10-21_final
2020-10-21 11:15:54	ga_s2bm_ard_3-2-1_52JBM_2020-10-21_final
2020-10-21 11:15:57	ga_s2bm_ard_3-2-1_51JYG_2020-10-21_final
2020-10-22 10:45:47	ga_s2bm_ard_3-2-1_53JKG_2020-10-22_final
2020-10-22 10:45:50	ga_s2bm_ard_3-2-1_52JGM_2020-10-22_final
2020-10-23 10:16:56	ga_s2bm_ard_3-2-1_54HWF_2020-10-23_final
2020-10-23 10:17:00	ga_s2bm_ard_3-2-1_54HVF_2020-10-23_final
2020-10-23 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-10-23_final
2020-10-24 09:44:13	ga_s2bm_ard_3-2-1_56JKR_2020-10-24_final
2020-10-24 09:45:15	ga_s2bm_ard_3-2-1_55JGG_2020-10-24_final
2020-10-24 09:45:47	ga_s2bm_ard_3-2-1_55HFE_2020-10-24_final
2020-10-24 09:46:52	ga_s2bm_ard_3-2-1_55HDA_2020-10-24_final
2020-10-24 11:25:48	ga_s2bm_ard_3-2-1_51JYG_2020-10-24_final
2020-10-25 10:55:42	ga_s2bm_ard_3-2-1_53JKG_2020-10-25_final
2020-10-25 10:55:45	ga_s2bm_ard_3-2-1_52JGM_2020-10-25_final
2020-10-26 10:24:37	ga_s2bm_ard_3-2-1_54JTR_2020-10-26_final
2020-10-26 10:25:35	ga_s2bm_ard_3-2-1_54JTM_2020-10-26_final
2020-10-26 10:25:38	ga_s2bm_ard_3-2-1_53JQG_2020-10-26_final
2020-10-26 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-10-26_final
2020-10-27 09:55:27	ga_s2bm_ard_3-2-1_55JBG_2020-10-27_final
2020-10-27 09:56:48	ga_s2bm_ard_3-2-1_55HDA_2020-10-27_final
2020-10-27 11:36:06	ga_s2bm_ard_3-2-1_51JTG_2020-10-27_final
2020-10-27 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2020-10-27_final
2020-10-29 10:35:33	ga_s2bm_ard_3-2-1_53JQG_2020-10-29_final
2020-10-29 10:37:12	ga_s2bm_ard_3-2-1_53HPV_2020-10-29_final.stac-item
2020-10-30 10:05:23	ga_s2bm_ard_3-2-1_55JBG_2020-10-30_final
2020-10-30 10:05:26	ga_s2bm_ard_3-2-1_54JYM_2020-10-30_final
2020-10-30 10:07:00	ga_s2bm_ard_3-2-1_54HWF_2020-10-30_final
2020-10-30 10:07:03	ga_s2bm_ard_3-2-1_54HVF_2020-10-30_final
2020-10-30 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2020-10-30_final
2020-10-30 11:46:04	ga_s2bm_ard_3-2-1_50JQM_2020-10-30_final
2020-10-31 09:34:17	ga_s2bm_ard_3-2-1_56JKR_2020-10-31_final
2020-10-31 09:35:18	ga_s2bm_ard_3-2-1_55JGG_2020-10-31_final
2020-10-31 09:35:53	ga_s2bm_ard_3-2-1_55HFE_2020-10-31_final
2020-10-31 11:15:54	ga_s2bm_ard_3-2-1_52JBM_2020-10-31_final

Return to ga_s2bm_ard_3 across October 2020 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

2020

October

All days