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
2020-10-01 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-10-01_final
2020-10-01 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-01_final
2020-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-11_final
2020-10-11 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-10-11_final
2020-10-11 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-10-11_final
2020-10-21 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-10-21_final
2020-10-21 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-21_final
2020-10-28 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-10-28_final
2020-10-31 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-31_final
2020-10-31 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-31_final
2020-11-03 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-11-03_final
2020-11-03 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-11-03_final
2020-11-03 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-11-03_final
2020-11-03 12:14:50	ga_s2am_ard_3-2-1_49JFN_2020-11-03_final
2020-11-03 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-11-03_final
2020-11-07 11:55:51	ga_s2am_ard_3-2-1_50JKP_2020-11-07_final
2020-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-11-10_final
2020-11-10 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-11-10_final
2020-11-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-11-10_final
2020-11-10 12:05:01	ga_s2am_ard_3-2-1_49JHM_2020-11-10_final
2020-11-10 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-11-10_final
2020-11-10 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2020-11-10_final
2020-11-10 12:05:45	ga_s2am_ard_3-2-1_50JKP_2020-11-10_final
2020-11-10 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2020-11-10_final
2020-11-10 12:06:18	ga_s2am_ard_3-2-1_50JLL_2020-11-10_final
2020-11-13 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-11-13_final
2020-11-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2020-11-13_final
2020-11-13 12:14:45	ga_s2am_ard_3-2-1_49JGN_2020-11-13_final
2020-11-13 12:14:49	ga_s2am_ard_3-2-1_49JFN_2020-11-13_final
2020-11-13 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-11-13_final
2020-11-17 11:55:49	ga_s2am_ard_3-2-1_50JKP_2020-11-17_final
2020-11-20 12:04:02	ga_s2am_ard_3-2-1_49KHR_2020-11-20_final
2020-11-20 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2020-11-20_final
2020-11-20 12:04:48	ga_s2am_ard_3-2-1_49JGN_2020-11-20_final
2020-11-20 12:04:59	ga_s2am_ard_3-2-1_49JHM_2020-11-20_final
2020-11-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2020-11-20_final
2020-11-20 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2020-11-20_final
2020-11-20 12:05:43	ga_s2am_ard_3-2-1_50JKP_2020-11-20_final
2020-11-20 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2020-11-20_final
2020-11-20 12:06:16	ga_s2am_ard_3-2-1_50JLL_2020-11-20_final
2020-11-23 12:13:56	ga_s2am_ard_3-2-1_49KHR_2020-11-23_final
2020-11-23 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2020-11-23_final
2020-11-23 12:14:43	ga_s2am_ard_3-2-1_49JGN_2020-11-23_final
2020-11-23 12:14:47	ga_s2am_ard_3-2-1_49JFN_2020-11-23_final
2020-11-23 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-11-23_final
2020-11-27 11:55:47	ga_s2am_ard_3-2-1_50JKP_2020-11-27_final
2020-11-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-11-30_final
2020-11-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-11-30_final
2020-11-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-11-30_final
2020-11-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-11-30_final
2020-11-30 12:04:57	ga_s2am_ard_3-2-1_49JHM_2020-11-30_final
2020-11-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-11-30_final
2020-11-30 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2020-11-30_final
2020-11-30 12:05:41	ga_s2am_ard_3-2-1_50JKP_2020-11-30_final
2020-11-30 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2020-11-30_final
2020-11-30 12:06:14	ga_s2am_ard_3-2-1_50JLL_2020-11-30_final
2020-12-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2020-12-03_final
2020-12-03 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2020-12-03_final
2020-12-03 12:14:40	ga_s2am_ard_3-2-1_49JGN_2020-12-03_final
2020-12-03 12:14:44	ga_s2am_ard_3-2-1_49JFN_2020-12-03_final
2020-12-03 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-03_final
2020-12-07 11:55:44	ga_s2am_ard_3-2-1_50JKP_2020-12-07_final
2020-12-10 12:03:56	ga_s2am_ard_3-2-1_49KHR_2020-12-10_final
2020-12-10 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-12-10_final
2020-12-10 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-12-10_final
2020-12-10 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-12-10_final
2020-12-10 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-12-10_final
2020-12-10 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2020-12-10_final
2020-12-10 12:05:37	ga_s2am_ard_3-2-1_50JKP_2020-12-10_final
2020-12-10 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2020-12-10_final
2020-12-13 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-12-13_final
2020-12-13 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2020-12-13_final
2020-12-13 12:14:38	ga_s2am_ard_3-2-1_49JGN_2020-12-13_final
2020-12-13 12:14:42	ga_s2am_ard_3-2-1_49JFN_2020-12-13_final
2020-12-13 12:14:53	ga_s2am_ard_3-2-1_49JGM_2020-12-13_final
2020-12-17 11:55:44	ga_s2am_ard_3-2-1_50JKP_2020-12-17_final
2020-12-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2020-12-20_final
2020-12-20 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2020-12-20_final
2020-12-20 12:04:44	ga_s2am_ard_3-2-1_49JGN_2020-12-20_final
2020-12-20 12:04:55	ga_s2am_ard_3-2-1_49JHM_2020-12-20_final
2020-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2020-12-20_final
2020-12-20 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2020-12-20_final
2020-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2020-12-20_final
2020-12-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2020-12-20_final
2020-12-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2020-12-23_final
2020-12-23 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2020-12-23_final
2020-12-23 12:14:40	ga_s2am_ard_3-2-1_49JGN_2020-12-23_final
2020-12-23 12:14:44	ga_s2am_ard_3-2-1_49JFN_2020-12-23_final
2020-12-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2020-12-23_final
2020-12-27 11:55:46	ga_s2am_ard_3-2-1_50JKP_2020-12-27_final
2020-12-30 12:03:59	ga_s2am_ard_3-2-1_49KHR_2020-12-30_final
2020-12-30 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2020-12-30_final
2020-12-30 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-12-30_final
2020-12-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-12-30_final
2020-12-30 12:04:57	ga_s2am_ard_3-2-1_49JHM_2020-12-30_final
2020-12-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-12-30_final
2020-12-30 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2020-12-30_final
2020-12-30 12:05:41	ga_s2am_ard_3-2-1_50JKP_2020-12-30_final
2020-12-30 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2020-12-30_final
2020-12-30 12:06:04	ga_s2am_ard_3-2-1_50JLM_2020-12-30_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