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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
2020-08-21 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-08-21_final
2020-08-31 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-08-31_final
2020-09-10 10:56:07	ga_s2am_ard_3-2-1_52JEL_2020-09-10_final
2020-09-20 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-09-20_final
2020-09-30 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-09-30_final
2020-10-10 10:56:10	ga_s2am_ard_3-2-1_52JEL_2020-10-10_final
2020-10-20 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-10-20_final
2020-10-30 10:56:09	ga_s2am_ard_3-2-1_52JEL_2020-10-30_final
2020-11-09 10:56:08	ga_s2am_ard_3-2-1_52JEL_2020-11-09_final
2020-11-19 10:56:06	ga_s2am_ard_3-2-1_52JEL_2020-11-19_final
2020-11-29 10:56:04	ga_s2am_ard_3-2-1_52JEL_2020-11-29_final
2020-12-09 10:56:01	ga_s2am_ard_3-2-1_52JEL_2020-12-09_final
2020-12-19 10:56:02	ga_s2am_ard_3-2-1_52JEL_2020-12-19_final
2021-01-08 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-01-08_final
2021-01-18 10:56:05	ga_s2am_ard_3-2-1_52JEL_2021-01-18_final
2021-01-28 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-01-28_final
2021-02-07 10:56:03	ga_s2am_ard_3-2-1_52JEL_2021-02-07_final
2021-02-17 10:56:03	ga_s2am_ard_3-2-1_52JEL_2021-02-17_final
2021-02-27 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-02-27_final
2021-03-09 10:56:03	ga_s2am_ard_3-2-1_52JEL_2021-03-09_final
2021-03-19 10:56:03	ga_s2am_ard_3-2-1_52JEL_2021-03-19_final
2021-03-29 10:56:01	ga_s2am_ard_3-2-1_52JEL_2021-03-29_final
2021-04-08 10:55:59	ga_s2am_ard_3-2-1_52JEL_2021-04-08_final
2021-04-18 10:55:58	ga_s2am_ard_3-2-1_52JEL_2021-04-18_final
2021-04-28 10:56:01	ga_s2am_ard_3-2-1_52JEL_2021-04-28_final
2021-05-02 10:35:50	ga_s2am_ard_3-2-1_53JNF_2021-05-02_final
2021-05-08 10:56:03	ga_s2am_ard_3-2-1_52JEL_2021-05-08_final
2021-05-12 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-05-12_final
2021-05-18 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-05-18_final
2021-05-22 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-05-22_final
2021-05-28 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-05-28_final
2021-06-01 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-01_final
2021-06-07 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-06-07_final
2021-06-11 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-11_final
2021-06-17 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-06-17_final
2021-06-21 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-06-21_final
2021-06-27 10:56:05	ga_s2am_ard_3-2-1_52JEL_2021-06-27_final
2021-07-01 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-07-01_final
2021-07-07 10:56:06	ga_s2am_ard_3-2-1_52JEL_2021-07-07_final
2021-07-11 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-07-11_final
2021-07-17 10:56:07	ga_s2am_ard_3-2-1_52JEL_2021-07-17_final
2021-07-21 10:35:56	ga_s2am_ard_3-2-1_53JNF_2021-07-21_final
2021-07-27 10:56:07	ga_s2am_ard_3-2-1_52JEL_2021-07-27_final
2021-07-31 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-07-31_final
2021-08-06 10:56:07	ga_s2am_ard_3-2-1_52JEL_2021-08-06_final
2021-08-10 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-08-10_final
2021-08-16 10:56:06	ga_s2am_ard_3-2-1_52JEL_2021-08-16_final
2021-08-20 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-08-20_final
2021-08-26 10:56:06	ga_s2am_ard_3-2-1_52JEL_2021-08-26_final
2021-08-30 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-08-30_final
2021-09-05 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-09-05_final
2021-09-09 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-09-09_final
2021-09-15 10:56:05	ga_s2am_ard_3-2-1_52JEL_2021-09-15_final
2021-09-19 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-09-19_final
2021-09-25 10:56:07	ga_s2am_ard_3-2-1_52JEL_2021-09-25_final
2021-09-29 10:35:56	ga_s2am_ard_3-2-1_53JNF_2021-09-29_final
2021-10-05 10:56:09	ga_s2am_ard_3-2-1_52JEL_2021-10-05_final
2021-10-09 10:35:57	ga_s2am_ard_3-2-1_53JNF_2021-10-09_final
2021-10-15 10:56:09	ga_s2am_ard_3-2-1_52JEL_2021-10-15_final
2021-10-19 10:35:58	ga_s2am_ard_3-2-1_53JNF_2021-10-19_final
2021-10-25 10:56:09	ga_s2am_ard_3-2-1_52JEL_2021-10-25_final
2021-10-29 10:35:57	ga_s2am_ard_3-2-1_53JNF_2021-10-29_final
2021-11-04 10:56:08	ga_s2am_ard_3-2-1_52JEL_2021-11-04_final
2021-11-08 10:35:55	ga_s2am_ard_3-2-1_53JNF_2021-11-08_final
2021-11-14 10:56:05	ga_s2am_ard_3-2-1_52JEL_2021-11-14_final
2021-11-18 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-11-18_final
2021-11-24 10:56:04	ga_s2am_ard_3-2-1_52JEL_2021-11-24_final
2021-11-28 10:35:52	ga_s2am_ard_3-2-1_53JNF_2021-11-28_final
2021-12-04 10:56:03	ga_s2am_ard_3-2-1_52JEL_2021-12-04_final
2021-12-08 10:35:51	ga_s2am_ard_3-2-1_53JNF_2021-12-08_final
2021-12-14 10:56:03	ga_s2am_ard_3-2-1_52JEL_2021-12-14_final
2021-12-18 10:35:53	ga_s2am_ard_3-2-1_53JNF_2021-12-18_final
2021-12-24 10:56:05	ga_s2am_ard_3-2-1_52JEL_2021-12-24_final
2021-12-28 10:35:54	ga_s2am_ard_3-2-1_53JNF_2021-12-28_final
2022-09-05 11:46:38	ga_s2am_ard_3-2-1_50JML_2022-09-05_final.stac-item
2022-09-08 11:56:33	ga_s2am_ard_3-2-1_50JML_2022-09-08_final.stac-item
2022-09-15 11:46:35	ga_s2am_ard_3-2-1_50JML_2022-09-15_final.stac-item
2022-09-18 11:56:31	ga_s2am_ard_3-2-1_50JML_2022-09-18_final.stac-item
2022-09-25 11:46:33	ga_s2am_ard_3-2-1_50JML_2022-09-25_final.stac-item
2022-09-28 11:56:29	ga_s2am_ard_3-2-1_50JML_2022-09-28_final.stac-item
2022-10-05 11:46:33	ga_s2am_ard_3-2-1_50JML_2022-10-05_final.stac-item
2022-10-08 11:56:28	ga_s2am_ard_3-2-1_50JML_2022-10-08_final.stac-item
2022-10-15 11:46:30	ga_s2am_ard_3-2-1_50JML_2022-10-15_final.stac-item
2022-10-18 11:56:25	ga_s2am_ard_3-2-1_50JML_2022-10-18_final.stac-item
2022-10-25 11:46:29	ga_s2am_ard_3-2-1_50JML_2022-10-25_final.stac-item
2022-10-28 11:56:25	ga_s2am_ard_3-2-1_50JML_2022-10-28_final.stac-item
2022-11-04 11:46:30	ga_s2am_ard_3-2-1_50JML_2022-11-04_final.stac-item
2022-11-07 11:56:26	ga_s2am_ard_3-2-1_50JML_2022-11-07_final.stac-item
2022-11-14 11:46:29	ga_s2am_ard_3-2-1_50JML_2022-11-14_final.stac-item
2022-11-17 11:56:24	ga_s2am_ard_3-2-1_50JML_2022-11-17_final.stac-item
2022-11-24 11:46:25	ga_s2am_ard_3-2-1_50JML_2022-11-24_final.stac-item
2022-11-27 11:56:22	ga_s2am_ard_3-2-1_50JML_2022-11-27_final.stac-item
2022-12-04 11:46:26	ga_s2am_ard_3-2-1_50JML_2022-12-04_final.stac-item
2022-12-07 11:56:23	ga_s2am_ard_3-2-1_50JML_2022-12-07_final.stac-item
2022-12-14 11:46:26	ga_s2am_ard_3-2-1_50JML_2022-12-14_final.stac-item
2022-12-17 11:56:21	ga_s2am_ard_3-2-1_50JML_2022-12-17_final.stac-item
2022-12-24 11:46:24	ga_s2am_ard_3-2-1_50JML_2022-12-24_final.stac-item
2022-12-27 11:56:21	ga_s2am_ard_3-2-1_50JML_2022-12-27_final.stac-item
2023-01-03 11:46:25	ga_s2am_ard_3-2-1_50JML_2023-01-03_final.stac-item
2023-01-06 11:56:21	ga_s2am_ard_3-2-1_50JML_2023-01-06_final.stac-item

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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