Search ga_s2am_ard_3 across 2021

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
2021-01-01 09:25:40	ga_s2am_ard_3-2-1_56HMK_2020-12-31_final
2021-01-04 09:35:35	ga_s2am_ard_3-2-1_56HMK_2021-01-04_final
2021-01-04 11:15:48	ga_s2am_ard_3-2-1_52JCM_2021-01-04_final
2021-01-06 10:15:33	ga_s2am_ard_3-2-1_54JUM_2021-01-06_final
2021-01-09 10:25:29	ga_s2am_ard_3-2-1_54JUM_2021-01-09_final
2021-01-11 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-01-10_final
2021-01-14 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-01-14_final
2021-01-19 10:25:29	ga_s2am_ard_3-2-1_54JUM_2021-01-19_final
2021-01-21 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-01-20_final
2021-01-24 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-01-24_final
2021-01-24 11:15:48	ga_s2am_ard_3-2-1_52JCM_2021-01-24_final
2021-01-26 10:15:33	ga_s2am_ard_3-2-1_54JUM_2021-01-26_final
2021-01-29 10:25:29	ga_s2am_ard_3-2-1_54JUM_2021-01-29_final
2021-01-31 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-01-30_final
2021-02-05 10:15:32	ga_s2am_ard_3-2-1_54JUM_2021-02-05_final
2021-02-10 09:25:38	ga_s2am_ard_3-2-1_56HMK_2021-02-09_final
2021-02-13 09:35:34	ga_s2am_ard_3-2-1_56HMK_2021-02-13_final
2021-02-15 10:15:31	ga_s2am_ard_3-2-1_54JUM_2021-02-15_final
2021-02-18 10:25:28	ga_s2am_ard_3-2-1_54JUM_2021-02-18_final
2021-02-20 09:25:39	ga_s2am_ard_3-2-1_56HMK_2021-02-19_final
2021-02-23 09:35:35	ga_s2am_ard_3-2-1_56HMK_2021-02-23_final
2021-02-23 11:15:47	ga_s2am_ard_3-2-1_52JCM_2021-02-23_final
2021-02-25 10:15:32	ga_s2am_ard_3-2-1_54JUM_2021-02-25_final
2021-02-28 10:25:28	ga_s2am_ard_3-2-1_54JUM_2021-02-28_final
2021-03-02 09:25:39	ga_s2am_ard_3-2-1_56HMK_2021-03-01_final
2021-03-05 09:35:35	ga_s2am_ard_3-2-1_56HMK_2021-03-05_final
2021-03-07 10:15:32	ga_s2am_ard_3-2-1_54JUM_2021-03-07_final
2021-03-10 10:25:28	ga_s2am_ard_3-2-1_54JUM_2021-03-10_final
2021-03-12 09:25:39	ga_s2am_ard_3-2-1_56HMK_2021-03-11_final
2021-03-15 09:35:34	ga_s2am_ard_3-2-1_56HMK_2021-03-15_final
2021-03-17 10:15:32	ga_s2am_ard_3-2-1_54JUM_2021-03-17_final
2021-03-20 10:25:27	ga_s2am_ard_3-2-1_54JUM_2021-03-20_final
2021-03-22 09:25:38	ga_s2am_ard_3-2-1_56HMK_2021-03-21_final
2021-03-25 09:35:33	ga_s2am_ard_3-2-1_56HMK_2021-03-25_final
2021-03-27 10:15:31	ga_s2am_ard_3-2-1_54JUM_2021-03-27_final
2021-03-30 10:25:26	ga_s2am_ard_3-2-1_54JUM_2021-03-30_final
2021-04-01 09:25:37	ga_s2am_ard_3-2-1_56HMK_2021-03-31_final
2021-04-04 09:35:32	ga_s2am_ard_3-2-1_56HMK_2021-04-04_final
2021-04-06 10:15:29	ga_s2am_ard_3-2-1_54JUM_2021-04-06_final
2021-04-09 10:25:24	ga_s2am_ard_3-2-1_54JUM_2021-04-09_final
2021-04-11 09:25:34	ga_s2am_ard_3-2-1_56HMK_2021-04-10_final
2021-04-14 09:35:29	ga_s2am_ard_3-2-1_56HMK_2021-04-14_final
2021-04-14 11:15:42	ga_s2am_ard_3-2-1_52JCM_2021-04-14_final
2021-04-16 10:15:26	ga_s2am_ard_3-2-1_54JUM_2021-04-16_final
2021-04-19 10:25:23	ga_s2am_ard_3-2-1_54JUM_2021-04-19_final
2021-04-21 09:25:35	ga_s2am_ard_3-2-1_56HMK_2021-04-20_final
2021-04-24 09:35:31	ga_s2am_ard_3-2-1_56HMK_2021-04-24_final
2021-04-26 10:15:29	ga_s2am_ard_3-2-1_54JUM_2021-04-26_final
2021-04-29 10:25:26	ga_s2am_ard_3-2-1_54JUM_2021-04-29_final
2021-05-01 09:25:37	ga_s2am_ard_3-2-1_56HMK_2021-04-30_final
2021-05-04 09:35:33	ga_s2am_ard_3-2-1_56HMK_2021-05-04_final
2021-05-11 09:25:39	ga_s2am_ard_3-2-1_56HMK_2021-05-10_final
2021-05-14 09:35:35	ga_s2am_ard_3-2-1_56HMK_2021-05-14_final
2021-05-21 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-05-20_final
2021-05-24 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-05-24_final
2021-05-31 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-05-30_final
2021-06-03 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-06-03_final
2021-06-10 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-06-09_final
2021-06-13 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-06-13_final
2021-06-20 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-06-19_final
2021-06-23 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-06-23_final
2021-06-30 09:25:41	ga_s2am_ard_3-2-1_56HMK_2021-06-29_final
2021-07-03 09:35:37	ga_s2am_ard_3-2-1_56HMK_2021-07-03_final
2021-07-10 09:25:42	ga_s2am_ard_3-2-1_56HMK_2021-07-09_final
2021-07-13 09:35:38	ga_s2am_ard_3-2-1_56HMK_2021-07-13_final
2021-07-20 09:25:43	ga_s2am_ard_3-2-1_56HMK_2021-07-19_final
2021-07-23 09:35:38	ga_s2am_ard_3-2-1_56HMK_2021-07-23_final
2021-07-30 09:25:43	ga_s2am_ard_3-2-1_56HMK_2021-07-29_final
2021-08-02 09:35:38	ga_s2am_ard_3-2-1_56HMK_2021-08-02_final
2021-08-12 09:35:38	ga_s2am_ard_3-2-1_56HMK_2021-08-12_final
2021-08-19 09:25:42	ga_s2am_ard_3-2-1_56HMK_2021-08-18_final
2021-08-22 09:35:37	ga_s2am_ard_3-2-1_56HMK_2021-08-22_final
2021-08-29 09:25:41	ga_s2am_ard_3-2-1_56HMK_2021-08-28_final
2021-09-01 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-09-01_final
2021-09-08 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-09-07_final
2021-09-11 09:35:35	ga_s2am_ard_3-2-1_56HMK_2021-09-11_final
2021-09-18 09:25:41	ga_s2am_ard_3-2-1_56HMK_2021-09-17_final
2021-09-21 09:35:38	ga_s2am_ard_3-2-1_56HMK_2021-09-21_final
2021-09-28 09:25:43	ga_s2am_ard_3-2-1_56HMK_2021-09-27_final
2021-10-01 09:35:39	ga_s2am_ard_3-2-1_56HMK_2021-10-01_final
2021-10-08 09:25:45	ga_s2am_ard_3-2-1_56HMK_2021-10-07_final
2021-10-11 09:35:40	ga_s2am_ard_3-2-1_56HMK_2021-10-11_final
2021-10-18 09:25:45	ga_s2am_ard_3-2-1_56HMK_2021-10-17_final
2021-10-21 09:35:40	ga_s2am_ard_3-2-1_56HMK_2021-10-21_final
2021-10-28 09:25:44	ga_s2am_ard_3-2-1_56HMK_2021-10-27_final
2021-10-31 09:35:40	ga_s2am_ard_3-2-1_56HMK_2021-10-31_final
2021-11-07 09:25:43	ga_s2am_ard_3-2-1_56HMK_2021-11-06_final
2021-11-17 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-11-16_final
2021-11-20 09:35:35	ga_s2am_ard_3-2-1_56HMK_2021-11-20_final
2021-11-27 09:25:39	ga_s2am_ard_3-2-1_56HMK_2021-11-26_final
2021-11-30 09:35:35	ga_s2am_ard_3-2-1_56HMK_2021-11-30_final
2021-12-07 09:25:38	ga_s2am_ard_3-2-1_56HMK_2021-12-06_final
2021-12-10 09:35:34	ga_s2am_ard_3-2-1_56HMK_2021-12-10_final
2021-12-16 09:55:21	ga_s2am_ard_3-2-1_55JCG_2021-12-16_final
2021-12-17 09:25:40	ga_s2am_ard_3-2-1_56HMK_2021-12-16_final
2021-12-19 10:05:17	ga_s2am_ard_3-2-1_55JCG_2021-12-19_final
2021-12-20 09:35:36	ga_s2am_ard_3-2-1_56HMK_2021-12-20_final
2021-12-26 09:55:23	ga_s2am_ard_3-2-1_55JCG_2021-12-26_final
2021-12-27 09:25:41	ga_s2am_ard_3-2-1_56HMK_2021-12-26_final
2021-12-29 10:05:18	ga_s2am_ard_3-2-1_55JCG_2021-12-29_final

Return to ga_s2am_ard_3 across 2021 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

2021

All months