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
2020-01-29 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-01-29_final
2020-02-05 11:36:54	ga_s2am_ard_3-2-1_50HQH_2020-02-05_final
2020-02-08 11:46:46	ga_s2am_ard_3-2-1_50HQH_2020-02-08_final
2020-02-15 11:36:56	ga_s2am_ard_3-2-1_50HQH_2020-02-15_final
2020-02-18 11:46:47	ga_s2am_ard_3-2-1_50HQH_2020-02-18_final
2020-02-25 11:36:58	ga_s2am_ard_3-2-1_50HQH_2020-02-25_final
2020-02-28 11:46:49	ga_s2am_ard_3-2-1_50HQH_2020-02-28_final
2020-03-06 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-03-06_final
2020-03-09 11:46:49	ga_s2am_ard_3-2-1_50HQH_2020-03-09_final
2020-03-16 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-03-16_final
2020-03-19 11:46:50	ga_s2am_ard_3-2-1_50HQH_2020-03-19_final
2020-03-26 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-03-26_final
2020-03-29 11:46:49	ga_s2am_ard_3-2-1_50HQH_2020-03-29_final
2020-04-05 11:36:59	ga_s2am_ard_3-2-1_50HQH_2020-04-05_final
2020-04-08 11:46:51	ga_s2am_ard_3-2-1_50HQH_2020-04-08_final
2020-04-15 11:37:02	ga_s2am_ard_3-2-1_50HQH_2020-04-15_final
2020-04-18 11:46:53	ga_s2am_ard_3-2-1_50HQH_2020-04-18_final
2020-04-25 11:37:05	ga_s2am_ard_3-2-1_50HQH_2020-04-25_final
2020-04-28 11:46:56	ga_s2am_ard_3-2-1_50HQH_2020-04-28_final
2020-05-05 11:37:06	ga_s2am_ard_3-2-1_50HQH_2020-05-05_final
2020-05-08 11:46:57	ga_s2am_ard_3-2-1_50HQH_2020-05-08_final
2020-05-15 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-05-15_final
2020-05-18 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-05-18_final
2020-05-25 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-05-25_final
2020-05-28 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-05-28_final
2020-06-04 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-06-04_final
2020-06-07 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-06-07_final
2020-06-14 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-06-14_final
2020-06-17 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-06-17_final
2020-06-24 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-06-24_final
2020-06-27 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-06-27_final
2020-07-04 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-07-04_final
2020-07-07 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-07-07_final
2020-07-14 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-07-14_final
2020-07-17 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-07-17_final
2020-07-24 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-07-24_final
2020-07-27 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-07-27_final
2020-08-03 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-08-03_final
2020-08-06 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-08-06_final
2020-08-13 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-08-13_final
2020-08-16 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-08-16_final
2020-08-23 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-08-23_final
2020-08-26 11:46:59	ga_s2am_ard_3-2-1_50HQH_2020-08-26_final
2020-09-02 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-09-02_final
2020-09-05 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-09-05_final
2020-09-12 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-09-12_final
2020-09-15 11:46:57	ga_s2am_ard_3-2-1_50HQH_2020-09-15_final
2020-09-22 11:37:08	ga_s2am_ard_3-2-1_50HQH_2020-09-22_final
2020-09-25 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-09-25_final
2021-05-20 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-05-20_final
2021-05-23 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-05-23_final
2021-05-30 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-05-30_final
2021-06-02 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-06-02_final
2021-06-09 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-06-09_final
2021-06-19 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-06-19_final
2021-06-22 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-06-22_final
2021-06-29 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-06-29_final
2021-07-02 11:46:55	ga_s2am_ard_3-2-1_50HQH_2021-07-02_final
2021-07-09 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-09_final
2021-07-12 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-07-12_final
2021-07-19 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-19_final
2021-07-22 11:46:57	ga_s2am_ard_3-2-1_50HQH_2021-07-22_final
2021-07-29 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-29_final
2021-08-01 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-08-01_final
2021-08-08 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-08-08_final
2021-08-11 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-08-11_final
2021-08-18 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-08-18_final
2021-08-21 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-08-21_final
2021-08-28 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-08-28_final
2021-08-31 11:46:55	ga_s2am_ard_3-2-1_50HQH_2021-08-31_final
2021-09-07 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-09-07_final
2021-09-10 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-09-10_final
2021-09-17 11:37:05	ga_s2am_ard_3-2-1_50HQH_2021-09-17_final
2021-09-20 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-09-20_final
2021-09-27 11:37:07	ga_s2am_ard_3-2-1_50HQH_2021-09-27_final
2021-09-30 11:46:57	ga_s2am_ard_3-2-1_50HQH_2021-09-30_final
2021-10-07 11:37:08	ga_s2am_ard_3-2-1_50HQH_2021-10-07_final
2021-10-10 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-10_final
2021-10-17 11:37:08	ga_s2am_ard_3-2-1_50HQH_2021-10-17_final
2021-10-20 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-20_final
2021-10-27 11:37:08	ga_s2am_ard_3-2-1_50HQH_2021-10-27_final
2021-10-30 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-30_final
2021-11-06 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-11-06_final
2021-11-16 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-11-16_final
2021-11-19 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-11-19_final
2021-11-26 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-11-26_final
2021-11-29 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-11-29_final
2021-12-06 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-12-06_final
2021-12-09 11:46:52	ga_s2am_ard_3-2-1_50HQH_2021-12-09_final
2021-12-16 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-12-16_final
2022-01-04 10:26:34	ga_s2am_ard_3-2-1_53HQC_2022-01-04_final
2022-02-13 10:26:32	ga_s2am_ard_3-2-1_53HQC_2022-02-13_final
2022-02-23 10:26:34	ga_s2am_ard_3-2-1_53HQC_2022-02-23_final
2022-03-15 10:26:36	ga_s2am_ard_3-2-1_53HQC_2022-03-15_final
2022-03-25 10:26:35	ga_s2am_ard_3-2-1_53HQC_2022-03-25_final
2022-04-04 10:26:34	ga_s2am_ard_3-2-1_53HQC_2022-04-04_final
2022-04-24 10:26:37	ga_s2am_ard_3-2-1_53HQC_2022-04-24_final
2022-06-13 10:26:42	ga_s2am_ard_3-2-1_53HQC_2022-06-13_final
2022-07-03 10:26:45	ga_s2am_ard_3-2-1_53HQC_2022-07-03_final
2022-07-13 10:26:45	ga_s2am_ard_3-2-1_53HQC_2022-07-13_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