Search ga_s2am_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
2020-10-02 09:54:33	ga_s2am_ard_3-2-1_55JFK_2020-10-02_final
2020-10-02 09:58:29	ga_s2am_ard_3-2-1_55GCP_2020-10-02_final
2020-10-02 11:35:13	ga_s2am_ard_3-2-1_51JWK_2020-10-02_final
2020-10-03 09:28:43	ga_s2am_ard_3-2-1_55GEP_2020-10-02_final
2020-10-03 11:04:59	ga_s2am_ard_3-2-1_52JEQ_2020-10-03_final
2020-10-03 11:05:07	ga_s2am_ard_3-2-1_52JEQ_2020-10-03_final
2020-10-03 11:05:11	ga_s2am_ard_3-2-1_52JDQ_2020-10-03_final
2020-10-05 10:04:42	ga_s2am_ard_3-2-1_55JBK_2020-10-05_final
2020-10-05 10:04:49	ga_s2am_ard_3-2-1_54JXQ_2020-10-05_final
2020-10-05 10:05:43	ga_s2am_ard_3-2-1_54JYL_2020-10-05_final
2020-10-05 11:45:05	ga_s2am_ard_3-2-1_51JTL_2020-10-05_final
2020-10-05 11:45:20	ga_s2am_ard_3-2-1_51JTK_2020-10-05_final
2020-10-07 10:44:55	ga_s2am_ard_3-2-1_53JNK_2020-10-07_final
2020-10-07 10:44:59	ga_s2am_ard_3-2-1_53JMK_2020-10-07_final
2020-10-07 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-10-07_final
2020-10-07 10:46:21	ga_s2am_ard_3-2-1_52HGK_2020-10-07_final.stac-item
2020-10-08 10:14:45	ga_s2am_ard_3-2-1_54JXQ_2020-10-08_final
2020-10-08 10:17:31	ga_s2am_ard_3-2-1_54HVD_2020-10-08_final
2020-10-09 09:44:30	ga_s2am_ard_3-2-1_56JKQ_2020-10-09_final
2020-10-09 09:44:37	ga_s2am_ard_3-2-1_55JFK_2020-10-09_final
2020-10-09 09:48:28	ga_s2am_ard_3-2-1_55GEP_2020-10-09_final
2020-10-09 09:48:40	ga_s2am_ard_3-2-1_55GCP_2020-10-09_final
2020-10-09 11:25:12	ga_s2am_ard_3-2-1_51JYK_2020-10-09_final
2020-10-09 11:25:19	ga_s2am_ard_3-2-1_51JWK_2020-10-09_final
2020-10-10 10:55:06	ga_s2am_ard_3-2-1_52JFQ_2020-10-10_final
2020-10-10 10:56:02	ga_s2am_ard_3-2-1_52JGL_2020-10-10_final
2020-10-10 10:56:14	ga_s2am_ard_3-2-1_53HKE_2020-10-10_final.stac-item
2020-10-10 10:56:16	ga_s2am_ard_3-2-1_52HGK_2020-10-10_final.stac-item
2020-10-11 10:24:54	ga_s2am_ard_3-2-1_54JTQ_2020-10-11_final
2020-10-11 10:25:55	ga_s2am_ard_3-2-1_53JQF_2020-10-11_final
2020-10-12 09:54:33	ga_s2am_ard_3-2-1_55JFK_2020-10-12_final
2020-10-12 09:58:29	ga_s2am_ard_3-2-1_55GCP_2020-10-12_final
2020-10-12 11:35:14	ga_s2am_ard_3-2-1_51JWK_2020-10-12_final
2020-10-13 09:28:43	ga_s2am_ard_3-2-1_55GEP_2020-10-12_final
2020-10-13 11:04:59	ga_s2am_ard_3-2-1_52JEQ_2020-10-13_final
2020-10-13 11:05:07	ga_s2am_ard_3-2-1_52JEQ_2020-10-13_final
2020-10-13 11:05:11	ga_s2am_ard_3-2-1_52JDQ_2020-10-13_final
2020-10-14 10:34:49	ga_s2am_ard_3-2-1_54JTQ_2020-10-14_final
2020-10-14 10:35:50	ga_s2am_ard_3-2-1_53JQF_2020-10-14_final
2020-10-15 10:04:42	ga_s2am_ard_3-2-1_55JBK_2020-10-15_final
2020-10-15 10:04:49	ga_s2am_ard_3-2-1_54JXQ_2020-10-15_final
2020-10-15 10:05:43	ga_s2am_ard_3-2-1_54JYL_2020-10-15_final
2020-10-15 11:45:05	ga_s2am_ard_3-2-1_51JTL_2020-10-15_final
2020-10-15 11:45:20	ga_s2am_ard_3-2-1_51JTK_2020-10-15_final
2020-10-16 09:34:35	ga_s2am_ard_3-2-1_56JKQ_2020-10-16_final
2020-10-16 09:35:36	ga_s2am_ard_3-2-1_55JGF_2020-10-16_final
2020-10-16 09:38:32	ga_s2am_ard_3-2-1_55GFP_2020-10-16_final
2020-10-16 09:38:36	ga_s2am_ard_3-2-1_55GEP_2020-10-16_final
2020-10-16 09:38:46	ga_s2am_ard_3-2-1_55GCP_2020-10-16_final
2020-10-16 11:15:06	ga_s2am_ard_3-2-1_52JDQ_2020-10-16_final
2020-10-16 11:16:14	ga_s2am_ard_3-2-1_51JYF_2020-10-16_final
2020-10-17 10:44:55	ga_s2am_ard_3-2-1_53JNK_2020-10-17_final
2020-10-17 10:44:59	ga_s2am_ard_3-2-1_53JMK_2020-10-17_final
2020-10-17 10:46:06	ga_s2am_ard_3-2-1_52JGL_2020-10-17_final
2020-10-17 10:46:20	ga_s2am_ard_3-2-1_52HGK_2020-10-17_final.stac-item
2020-10-18 10:14:45	ga_s2am_ard_3-2-1_54JXQ_2020-10-18_final
2020-10-18 10:17:31	ga_s2am_ard_3-2-1_54HVD_2020-10-18_final
2020-10-19 09:44:30	ga_s2am_ard_3-2-1_56JKQ_2020-10-19_final
2020-10-19 09:44:37	ga_s2am_ard_3-2-1_55JFK_2020-10-19_final
2020-10-19 09:48:27	ga_s2am_ard_3-2-1_55GEP_2020-10-19_final
2020-10-19 09:48:40	ga_s2am_ard_3-2-1_55GCP_2020-10-19_final
2020-10-19 11:25:11	ga_s2am_ard_3-2-1_51JYK_2020-10-19_final
2020-10-19 11:25:19	ga_s2am_ard_3-2-1_51JWK_2020-10-19_final
2020-10-20 10:55:08	ga_s2am_ard_3-2-1_52JFQ_2020-10-20_final
2020-10-20 10:56:02	ga_s2am_ard_3-2-1_52JGL_2020-10-20_final
2020-10-20 10:56:16	ga_s2am_ard_3-2-1_52HGK_2020-10-20_final.stac-item
2020-10-21 10:24:53	ga_s2am_ard_3-2-1_54JTQ_2020-10-21_final
2020-10-21 10:25:50	ga_s2am_ard_3-2-1_53JQF_2020-10-21_final
2020-10-21 10:25:56	ga_s2am_ard_3-2-1_53JQF_2020-10-21_final
2020-10-22 09:54:33	ga_s2am_ard_3-2-1_55JFK_2020-10-22_final
2020-10-22 09:58:29	ga_s2am_ard_3-2-1_55GCP_2020-10-22_final
2020-10-22 11:35:13	ga_s2am_ard_3-2-1_51JWK_2020-10-22_final
2020-10-23 11:05:07	ga_s2am_ard_3-2-1_52JEQ_2020-10-23_final
2020-10-23 11:05:10	ga_s2am_ard_3-2-1_52JDQ_2020-10-23_final
2020-10-24 10:34:49	ga_s2am_ard_3-2-1_54JTQ_2020-10-24_final
2020-10-24 10:35:50	ga_s2am_ard_3-2-1_53JQF_2020-10-24_final
2020-10-25 10:04:42	ga_s2am_ard_3-2-1_55JBK_2020-10-25_final
2020-10-25 10:04:49	ga_s2am_ard_3-2-1_54JXQ_2020-10-25_final
2020-10-25 10:05:43	ga_s2am_ard_3-2-1_54JYL_2020-10-25_final
2020-10-25 11:45:05	ga_s2am_ard_3-2-1_51JTL_2020-10-25_final
2020-10-25 11:45:19	ga_s2am_ard_3-2-1_51JTK_2020-10-25_final
2020-10-26 09:34:34	ga_s2am_ard_3-2-1_56JKQ_2020-10-26_final
2020-10-26 09:35:35	ga_s2am_ard_3-2-1_55JGF_2020-10-26_final
2020-10-26 09:38:32	ga_s2am_ard_3-2-1_55GFP_2020-10-26_final
2020-10-26 09:38:36	ga_s2am_ard_3-2-1_55GEP_2020-10-26_final
2020-10-26 09:38:45	ga_s2am_ard_3-2-1_55GCP_2020-10-26_final
2020-10-26 11:15:05	ga_s2am_ard_3-2-1_52JDQ_2020-10-26_final
2020-10-26 11:16:13	ga_s2am_ard_3-2-1_51JYF_2020-10-26_final
2020-10-27 10:44:55	ga_s2am_ard_3-2-1_53JNK_2020-10-27_final
2020-10-27 10:44:59	ga_s2am_ard_3-2-1_53JMK_2020-10-27_final
2020-10-27 10:46:05	ga_s2am_ard_3-2-1_52JGL_2020-10-27_final
2020-10-27 10:46:20	ga_s2am_ard_3-2-1_52HGK_2020-10-27_final.stac-item
2020-10-28 10:14:44	ga_s2am_ard_3-2-1_54JXQ_2020-10-28_final
2020-10-28 10:17:31	ga_s2am_ard_3-2-1_54HVD_2020-10-28_final
2020-10-29 11:25:11	ga_s2am_ard_3-2-1_51JYK_2020-10-29_final
2020-10-29 11:25:18	ga_s2am_ard_3-2-1_51JWK_2020-10-29_final
2020-10-30 10:55:07	ga_s2am_ard_3-2-1_52JFQ_2020-10-30_final
2020-10-30 10:56:01	ga_s2am_ard_3-2-1_52JGL_2020-10-30_final
2020-10-30 10:56:16	ga_s2am_ard_3-2-1_52HGK_2020-10-30_final.stac-item
2020-10-31 10:24:53	ga_s2am_ard_3-2-1_54JTQ_2020-10-31_final

Return to ga_s2am_ard_3 across October 2020 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A 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