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
2021-01-02 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-02_final
2021-01-02 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-01-02_final
2021-01-02 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-01-02_final
2021-01-03 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-03_final
2021-01-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-01-03_final
2021-01-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-01-06_final
2021-01-06 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-06_final
2021-01-09 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-09_final
2021-01-09 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-09_final
2021-01-09 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-01-09_final
2021-01-09 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-09_final
2021-01-12 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-12_final
2021-01-12 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-01-12_final
2021-01-12 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-12_final
2021-01-13 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-13_final
2021-01-13 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-13_final
2021-01-16 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-01-16_final
2021-01-16 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-16_final
2021-01-19 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-01-19_final
2021-01-19 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-19_final
2021-01-19 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-01-19_final
2021-01-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-19_final
2021-01-22 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-22_final
2021-01-22 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-01-22_final
2021-01-22 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-22_final
2021-01-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-23_final
2021-01-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-23_final
2021-01-26 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-01-26_final
2021-01-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-26_final
2021-01-29 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-01-29_final
2021-01-29 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-29_final
2021-01-29 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-01-29_final
2021-01-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-29_final
2021-02-01 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-01_final
2021-02-01 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-02-01_final
2021-02-01 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-02-01_final
2021-02-01 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-02-01_final
2021-02-02 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-02_final
2021-02-02 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-02_final
2021-02-05 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-05_final
2021-02-08 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-08_final
2021-02-08 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2021-02-08_final
2021-02-08 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-02-08_final
2021-02-08 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-08_final
2021-02-11 12:13:53	ga_s2am_ard_3-2-1_49KHR_2021-02-11_final
2021-02-11 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2021-02-11_final
2021-02-11 12:14:40	ga_s2am_ard_3-2-1_49JGN_2021-02-11_final
2021-02-11 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-02-11_final
2021-02-12 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-02-12_final
2021-02-15 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-02-15_final
2021-02-15 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-02-15_final
2021-02-18 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-18_final
2021-02-18 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-02-18_final
2021-02-18 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-02-18_final
2021-02-18 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-18_final
2021-02-21 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-21_final
2021-02-21 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-02-21_final
2021-02-21 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-02-21_final
2021-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-02-21_final
2021-02-22 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-22_final
2021-02-22 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-22_final
2021-02-25 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-02-25_final
2021-02-25 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-02-25_final
2021-02-28 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-02-28_final
2021-02-28 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-02-28_final
2021-02-28 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-02-28_final
2021-02-28 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-02-28_final
2021-02-28 12:05:08	ga_s2am_ard_3-2-1_49JFM_2021-02-28_final
2021-04-03 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2021-04-03_final
2021-04-03 11:47:11	ga_s2am_ard_3-2-1_50HLH_2021-04-03_final
2021-04-06 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2021-04-06_final
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-04-06_final
2021-04-06 11:57:05	ga_s2am_ard_3-2-1_50HLH_2021-04-06_final
2021-04-13 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2021-04-13_final
2021-04-13 11:47:09	ga_s2am_ard_3-2-1_50HLH_2021-04-13_final
2021-04-16 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2021-04-16_final
2021-04-16 11:57:03	ga_s2am_ard_3-2-1_50HLH_2021-04-16_final
2021-04-23 11:46:51	ga_s2am_ard_3-2-1_50HMJ_2021-04-23_final
2021-04-23 11:47:10	ga_s2am_ard_3-2-1_50HLH_2021-04-23_final
2021-04-26 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2021-04-26_final
2021-04-26 11:57:03	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final
2021-04-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final
2021-05-03 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2021-05-03_final
2021-05-03 11:47:12	ga_s2am_ard_3-2-1_50HLH_2021-05-03_final
2021-05-06 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2021-05-06_final
2021-05-06 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-05-06_final
2021-05-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-05-13_final
2021-05-13 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-05-13_final
2021-05-16 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-05-16_final
2021-05-16 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-05-16_final
2021-05-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-05-23_final
2021-05-26 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-05-26_final
2021-05-26 11:57:07	ga_s2am_ard_3-2-1_50HLH_2021-05-26_final
2021-05-26 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-05-26_final
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-06-08 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-06-08_final
2021-06-11 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-11_final
2021-06-18 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-06-18_final
2021-06-21 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-21_final
2021-06-21 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-06-21_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

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