Search ga_s2am_ard_3 whole collection

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
2019-04-28 09:47:57	ga_s2am_ard_3-2-1_55HBS_2019-04-28_final
2019-05-01 09:57:54	ga_s2am_ard_3-2-1_55HBS_2019-05-01_final
2019-05-08 09:47:58	ga_s2am_ard_3-2-1_55HBS_2019-05-08_final
2019-05-11 09:57:54	ga_s2am_ard_3-2-1_55HBS_2019-05-11_final
2019-05-18 09:47:57	ga_s2am_ard_3-2-1_55HBS_2019-05-18_final
2019-05-21 09:57:54	ga_s2am_ard_3-2-1_55HBS_2019-05-21_final
2019-05-28 09:47:57	ga_s2am_ard_3-2-1_55HBS_2019-05-28_final
2019-05-31 09:57:53	ga_s2am_ard_3-2-1_55HBS_2019-05-31_final
2019-06-07 09:47:56	ga_s2am_ard_3-2-1_55HBS_2019-06-07_final
2019-06-10 09:57:53	ga_s2am_ard_3-2-1_55HBS_2019-06-10_final
2019-06-17 09:47:57	ga_s2am_ard_3-2-1_55HBS_2019-06-17_final
2019-06-20 09:57:54	ga_s2am_ard_3-2-1_55HBS_2019-06-20_final
2019-06-27 09:47:58	ga_s2am_ard_3-2-1_55HBS_2019-06-27_final
2019-06-30 09:57:55	ga_s2am_ard_3-2-1_55HBS_2019-06-30_final
2019-07-07 09:47:59	ga_s2am_ard_3-2-1_55HBS_2019-07-07_final
2019-07-10 09:57:55	ga_s2am_ard_3-2-1_55HBS_2019-07-10_final
2019-07-17 09:47:59	ga_s2am_ard_3-2-1_55HBS_2019-07-17_final
2019-07-20 09:57:55	ga_s2am_ard_3-2-1_55HBS_2019-07-20_final
2019-07-27 09:47:59	ga_s2am_ard_3-2-1_55HBS_2019-07-27_final
2019-07-30 09:57:55	ga_s2am_ard_3-2-1_55HBS_2019-07-30_final
2019-08-06 09:47:58	ga_s2am_ard_3-2-1_55HBS_2019-08-06_final
2019-08-09 09:57:54	ga_s2am_ard_3-2-1_55HBS_2019-08-09_final
2019-08-16 09:47:57	ga_s2am_ard_3-2-1_55HBS_2019-08-16_final
2019-08-19 09:57:53	ga_s2am_ard_3-2-1_55HBS_2019-08-19_final
2019-08-26 09:47:55	ga_s2am_ard_3-2-1_55HBS_2019-08-26_final
2019-08-29 09:57:51	ga_s2am_ard_3-2-1_55HBS_2019-08-29_final
2019-09-05 09:47:53	ga_s2am_ard_3-2-1_55HBS_2019-09-05_final
2019-09-08 09:57:49	ga_s2am_ard_3-2-1_55HBS_2019-09-08_final
2019-09-15 09:47:53	ga_s2am_ard_3-2-1_55HBS_2019-09-15_final
2019-09-18 09:57:50	ga_s2am_ard_3-2-1_55HBS_2019-09-18_final
2019-09-25 09:47:54	ga_s2am_ard_3-2-1_55HBS_2019-09-25_final
2019-09-28 09:57:51	ga_s2am_ard_3-2-1_55HBS_2019-09-28_final
2019-10-05 09:47:56	ga_s2am_ard_3-2-1_55HBS_2019-10-05_final
2019-10-08 09:57:53	ga_s2am_ard_3-2-1_55HBS_2019-10-08_final
2019-10-15 09:47:57	ga_s2am_ard_3-2-1_55HBS_2019-10-15_final
2019-10-18 09:57:53	ga_s2am_ard_3-2-1_55HBS_2019-10-18_final
2019-10-25 09:47:57	ga_s2am_ard_3-2-1_55HBS_2019-10-25_final
2019-10-28 09:57:54	ga_s2am_ard_3-2-1_55HBS_2019-10-28_final
2019-11-04 09:47:57	ga_s2am_ard_3-2-1_55HBS_2019-11-04_final
2019-11-07 09:57:53	ga_s2am_ard_3-2-1_55HBS_2019-11-07_final
2019-11-14 09:47:56	ga_s2am_ard_3-2-1_55HBS_2019-11-14_final
2019-11-17 09:57:52	ga_s2am_ard_3-2-1_55HBS_2019-11-17_final
2019-11-24 09:47:54	ga_s2am_ard_3-2-1_55HBS_2019-11-24_final
2019-11-27 09:57:50	ga_s2am_ard_3-2-1_55HBS_2019-11-27_final
2019-12-04 09:47:52	ga_s2am_ard_3-2-1_55HBS_2019-12-04_final
2019-12-07 09:57:48	ga_s2am_ard_3-2-1_55HBS_2019-12-07_final
2019-12-14 09:47:49	ga_s2am_ard_3-2-1_55HBS_2019-12-14_final
2019-12-17 09:57:45	ga_s2am_ard_3-2-1_55HBS_2019-12-17_final
2019-12-24 09:47:48	ga_s2am_ard_3-2-1_55HBS_2019-12-24_final
2021-03-21 09:57:49	ga_s2am_ard_3-2-1_55HBS_2021-03-21_final
2021-04-10 09:57:45	ga_s2am_ard_3-2-1_55HBS_2021-04-10_final
2021-04-17 09:47:48	ga_s2am_ard_3-2-1_55HBS_2021-04-17_final
2021-04-30 09:57:44	ga_s2am_ard_3-2-1_55HCS_2021-04-30_final
2021-05-07 09:47:49	ga_s2am_ard_3-2-1_55HCS_2021-05-07_final
2021-05-10 09:57:46	ga_s2am_ard_3-2-1_55HCS_2021-05-10_final
2021-05-17 09:47:51	ga_s2am_ard_3-2-1_55HCS_2021-05-17_final
2021-05-20 09:57:47	ga_s2am_ard_3-2-1_55HCS_2021-05-20_final
2021-05-27 09:47:51	ga_s2am_ard_3-2-1_55HCS_2021-05-27_final
2021-05-30 09:57:48	ga_s2am_ard_3-2-1_55HCS_2021-05-30_final
2021-06-06 09:47:51	ga_s2am_ard_3-2-1_55HCS_2021-06-06_final
2021-06-09 09:57:48	ga_s2am_ard_3-2-1_55HCS_2021-06-09_final
2021-06-16 09:47:51	ga_s2am_ard_3-2-1_55HCS_2021-06-16_final
2021-06-19 09:57:47	ga_s2am_ard_3-2-1_55HCS_2021-06-19_final
2021-06-26 09:47:52	ga_s2am_ard_3-2-1_55HCS_2021-06-26_final
2021-06-29 09:57:49	ga_s2am_ard_3-2-1_55HCS_2021-06-29_final
2021-07-06 09:47:53	ga_s2am_ard_3-2-1_55HCS_2021-07-06_final
2021-07-09 09:57:50	ga_s2am_ard_3-2-1_55HCS_2021-07-09_final
2021-07-16 09:47:54	ga_s2am_ard_3-2-1_55HCS_2021-07-16_final
2021-07-19 09:57:50	ga_s2am_ard_3-2-1_55HCS_2021-07-19_final
2021-07-26 09:47:54	ga_s2am_ard_3-2-1_55HCS_2021-07-26_final
2021-07-29 09:57:50	ga_s2am_ard_3-2-1_55HCS_2021-07-29_final
2021-08-05 09:47:54	ga_s2am_ard_3-2-1_55HCS_2021-08-05_final
2021-08-08 09:57:50	ga_s2am_ard_3-2-1_55HCS_2021-08-08_final
2021-08-15 09:47:53	ga_s2am_ard_3-2-1_55HCS_2021-08-15_final
2021-08-18 09:57:49	ga_s2am_ard_3-2-1_55HCS_2021-08-18_final
2021-08-25 09:47:53	ga_s2am_ard_3-2-1_55HCS_2021-08-25_final
2021-08-28 09:57:49	ga_s2am_ard_3-2-1_55HCS_2021-08-28_final
2021-09-04 09:47:51	ga_s2am_ard_3-2-1_55HCS_2021-09-04_final
2021-09-07 09:57:47	ga_s2am_ard_3-2-1_55HCS_2021-09-07_final
2021-09-14 09:47:52	ga_s2am_ard_3-2-1_55HCS_2021-09-14_final
2021-09-17 09:57:49	ga_s2am_ard_3-2-1_55HCS_2021-09-17_final
2021-09-24 09:47:54	ga_s2am_ard_3-2-1_55HCS_2021-09-24_final
2021-09-27 09:57:51	ga_s2am_ard_3-2-1_55HCS_2021-09-27_final
2021-10-04 09:47:55	ga_s2am_ard_3-2-1_55HCS_2021-10-04_final
2021-10-07 09:57:52	ga_s2am_ard_3-2-1_55HCS_2021-10-07_final
2021-10-14 09:47:56	ga_s2am_ard_3-2-1_55HCS_2021-10-14_final
2021-10-17 09:57:52	ga_s2am_ard_3-2-1_55HCS_2021-10-17_final
2021-10-24 09:47:56	ga_s2am_ard_3-2-1_55HCS_2021-10-24_final
2021-10-27 09:57:52	ga_s2am_ard_3-2-1_55HCS_2021-10-27_final
2021-11-03 09:47:55	ga_s2am_ard_3-2-1_55HCS_2021-11-03_final
2021-11-06 09:57:50	ga_s2am_ard_3-2-1_55HCS_2021-11-06_final
2021-11-13 09:47:52	ga_s2am_ard_3-2-1_55HCS_2021-11-13_final
2021-11-16 09:57:48	ga_s2am_ard_3-2-1_55HCS_2021-11-16_final
2021-11-23 09:47:51	ga_s2am_ard_3-2-1_55HCS_2021-11-23_final
2021-11-26 09:57:47	ga_s2am_ard_3-2-1_55HCS_2021-11-26_final
2021-12-03 09:47:50	ga_s2am_ard_3-2-1_55HCS_2021-12-03_final
2021-12-06 09:57:46	ga_s2am_ard_3-2-1_55HCS_2021-12-06_final
2021-12-13 09:47:50	ga_s2am_ard_3-2-1_55HCS_2021-12-13_final
2021-12-16 09:57:47	ga_s2am_ard_3-2-1_55HCS_2021-12-16_final
2021-12-23 09:47:52	ga_s2am_ard_3-2-1_55HCS_2021-12-23_final

Return to ga_s2am_ard_3 whole collection 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

All years