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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JHM_2015-10-08_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGL_2015-12-27_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGK_2016-01-06_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2016-09-12_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-05_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGM_2016-11-01_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49JGL_2016-11-14_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGJ_2016-12-31_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49JGL_2017-08-01_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_49JGK_2017-08-08_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGM_2017-10-27_final
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JFM_2017-10-30_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGM_2017-11-09_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-11-29_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGN_2018-01-05_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JGL_2018-01-25_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49JGM_2018-01-25_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-02-14_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-02-17_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-03-26_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-04-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGL_2018-05-05_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGM_2018-05-08_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-07-24_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-15_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-22_final
2018-12-01 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-01_final
2018-12-31 12:04:54	ga_s2am_ard_3-2-1_49JGM_2018-12-31_final
2019-01-10 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-01-10_final
2019-01-23 12:14:38	ga_s2am_ard_3-2-1_49JGN_2019-01-23_final
2019-02-09 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-02-09_final
2019-02-12 12:14:56	ga_s2am_ard_3-2-1_49JFM_2019-02-12_final
2019-03-24 12:15:09	ga_s2am_ard_3-2-1_49JGL_2019-03-24_final
2019-06-22 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-06-22_final
2019-07-12 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-12_final
2019-08-08 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-08-08_final
2019-08-31 12:14:57	ga_s2am_ard_3-2-1_49JGM_2019-08-31_final
2019-09-10 12:15:09	ga_s2am_ard_3-2-1_49JGL_2019-09-10_final
2019-10-17 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-10-17_final
2019-10-17 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-10-17_final
2019-10-20 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-10-20_final
2019-10-27 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-27_final
2019-11-06 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-11-06_final
2019-11-06 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-11-06_final
2019-11-09 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-11-09_final
2019-11-09 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-11-09_final
2019-11-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-11-16_final
2019-12-06 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-12-06_final
2019-12-16 12:05:09	ga_s2am_ard_3-2-1_49JGL_2019-12-16_final
2019-12-26 12:04:55	ga_s2am_ard_3-2-1_49JGM_2019-12-26_final
2020-01-05 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-05_final
2020-01-25 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2020-01-25_final
2020-02-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2020-02-14_final
2020-03-25 12:05:11	ga_s2am_ard_3-2-1_49JGL_2020-03-25_final
2020-04-04 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-04-04_final
2020-05-04 12:05:12	ga_s2am_ard_3-2-1_49JFM_2020-05-04_final
2020-05-04 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-05-04_final
2020-08-15 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-08-15_final
2020-08-15 12:15:06	ga_s2am_ard_3-2-1_49JFM_2020-08-15_final
2020-09-01 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-01_final
2020-09-01 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-09-01_final
2020-09-11 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-09-11_final
2020-10-24 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-10-24_final
2020-11-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-11-10_final
2020-11-10 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2020-11-10_final
2020-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2020-12-20_final
2021-01-19 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-19_final
2021-02-11 12:14:55	ga_s2am_ard_3-2-1_49JGM_2021-02-11_final
2021-03-03 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-03-03_final
2021-05-09 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-05-09_final
2021-06-21 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-21_final
2021-06-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-06-28_final
2021-07-21 12:14:45	ga_s2am_ard_3-2-1_49JGN_2021-07-21_final
2021-07-28 12:04:46	ga_s2am_ard_3-2-1_49JHN_2021-07-28_final
2021-07-31 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-31_final
2021-08-10 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-08-10_final
2021-10-09 12:15:05	ga_s2am_ard_3-2-1_49JFM_2021-10-09_final
2021-10-26 12:05:13	ga_s2am_ard_3-2-1_49JFM_2021-10-26_final
2022-01-14 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-01-14_final
2022-03-05 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-03-05_final
2022-03-15 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-03-15_final
2022-04-07 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-04-07_final
2022-04-07 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-04-07_final
2022-08-02 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-08-02_final
2022-10-24 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-10-24_final.stac-item
2022-10-31 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-10-31_final.stac-item
2022-12-30 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-30_final.stac-item
2023-02-08 12:04:59	ga_s2am_ard_3-2-1_49JGM_2023-02-08_final.stac-item
2023-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-05-12_final.stac-item
2023-06-28 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-06-28_final.stac-item
2023-07-01 12:15:15	ga_s2am_ard_3-2-1_49JGL_2023-07-01_final.stac-item
2023-07-18 12:05:34	ga_s2am_ard_3-2-1_49JGK_2023-07-18_final.stac-item
2023-07-31 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-07-31_final.stac-item
2023-08-30 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-08-30_final.stac-item
2023-10-06 12:05:16	ga_s2am_ard_3-2-1_49JGL_2023-10-06_final.stac-item
2023-10-29 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-10-29_final.stac-item
2023-11-25 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-11-25_final.stac-item
2024-02-03 12:04:56	ga_s2am_ard_3-2-1_49JGM_2024-02-03_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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