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
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGN_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
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGK_2016-02-15_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49JGK_2016-06-24_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGM_2016-06-27_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KGP_2016-10-05_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGK_2016-11-01_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-21_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-12-14_final.stac-item
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49JGM_2017-02-02_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_49JGN_2017-03-01_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGN_2017-04-30_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JHN_2017-05-20_final
2017-08-11 12:14:43	ga_s2am_ard_3-2-1_49JGM_2017-08-11_final
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGN_2018-01-18_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGL_2018-03-16_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-04-15_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KGP_2018-05-15_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-05-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-18_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-22_final
2018-11-21 12:04:54	ga_s2am_ard_3-2-1_49JHM_2018-11-21_final
2018-12-01 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-01_final
2019-01-10 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-01-10_final
2019-02-12 12:14:53	ga_s2am_ard_3-2-1_49JGM_2019-02-12_final
2019-02-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2019-02-22_final
2019-03-24 12:14:25	ga_s2am_ard_3-2-1_49KGP_2019-03-24_final
2019-04-10 12:04:48	ga_s2am_ard_3-2-1_49JGN_2019-04-10_final
2019-04-23 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-04-23_final
2019-05-10 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-05-10_final
2019-05-23 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-05-23_final
2019-05-30 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-05-30_final
2019-05-30 12:04:59	ga_s2am_ard_3-2-1_49JHM_2019-05-30_final
2019-06-22 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-06-22_final
2019-08-28 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-08-28_final
2019-08-31 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-08-31_final
2019-10-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-10-30_final
2020-01-18 12:14:21	ga_s2am_ard_3-2-1_49KGP_2020-01-18_final
2020-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGN_2020-01-18_final
2020-02-14 12:04:36	ga_s2am_ard_3-2-1_49JHN_2020-02-14_final
2020-02-17 12:15:04	ga_s2am_ard_3-2-1_49JGL_2020-02-17_final
2020-02-27 12:14:51	ga_s2am_ard_3-2-1_49JGM_2020-02-27_final
2020-06-23 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-06-23_final
2020-07-13 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-07-13_final
2020-07-23 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-07-23_final
2020-08-05 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-08-05_final
2020-10-01 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-10-01_final
2020-10-31 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-10-31_final
2021-01-12 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-12_final
2021-02-01 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-02-01_final
2021-02-01 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-02-01_final
2021-04-12 12:14:36	ga_s2am_ard_3-2-1_49JGN_2021-04-12_final
2021-05-12 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-05-12_final
2021-06-21 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-21_final
2021-11-18 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-11-18_final
2021-11-25 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-11-25_final
2022-01-14 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-14_final
2022-01-24 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2022-01-24_final
2022-01-27 12:14:41	ga_s2am_ard_3-2-1_49JGN_2022-01-27_final
2022-02-03 12:04:42	ga_s2am_ard_3-2-1_49JHN_2022-02-03_final
2022-02-13 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-02-13_final
2022-02-13 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2022-02-13_final
2022-03-05 12:05:00	ga_s2am_ard_3-2-1_49JHM_2022-03-05_final
2022-03-08 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-03-08_final
2022-04-14 12:05:02	ga_s2am_ard_3-2-1_49JGM_2022-04-14_final
2022-04-14 12:05:09	ga_s2am_ard_3-2-1_49JGM_2022-04-14_final
2022-05-04 12:05:20	ga_s2am_ard_3-2-1_49JGL_2022-05-04_final
2022-05-07 12:14:31	ga_s2am_ard_3-2-1_49KGP_2022-05-07_final
2022-07-23 12:04:53	ga_s2am_ard_3-2-1_49JHN_2022-07-23_final
2022-08-02 12:04:53	ga_s2am_ard_3-2-1_49JHN_2022-08-02_final
2022-08-02 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-08-02_final
2022-08-22 12:05:42	ga_s2am_ard_3-2-1_49JGK_2022-08-22_final
2022-08-25 12:15:09	ga_s2am_ard_3-2-1_49JGM_2022-08-25_final.stac-item
2022-10-01 12:04:40	ga_s2am_ard_3-2-1_49JHN_2022-10-01_final.stac-item
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2022-11-13 12:15:13	ga_s2am_ard_3-2-1_49JGL_2022-11-13_final.stac-item
2022-12-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-12-10_final.stac-item
2022-12-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-12-13_final.stac-item
2023-01-09 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-01-09_final.stac-item
2023-01-09 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-01-09_final.stac-item
2023-01-22 12:14:37	ga_s2am_ard_3-2-1_49JGN_2023-01-22_final.stac-item
2023-01-29 12:04:40	ga_s2am_ard_3-2-1_49JHN_2023-01-29_final.stac-item
2023-01-29 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-01-29_final.stac-item
2023-02-18 12:04:53	ga_s2am_ard_3-2-1_49JHM_2023-02-18_final.stac-item
2023-03-10 12:04:51	ga_s2am_ard_3-2-1_49JHM_2023-03-10_final.stac-item
2023-06-08 12:05:00	ga_s2am_ard_3-2-1_49JHM_2023-06-08_final.stac-item
2023-06-08 12:05:04	ga_s2am_ard_3-2-1_49JGM_2023-06-08_final.stac-item
2023-07-08 12:05:02	ga_s2am_ard_3-2-1_49JHM_2023-07-08_final.stac-item
2023-08-30 12:14:47	ga_s2am_ard_3-2-1_49JGN_2023-08-30_final.stac-item
2023-10-19 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-10-19_final.stac-item
2023-11-05 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-11-05_final.stac-item
2023-11-18 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-11-18_final.stac-item
2023-12-15 12:04:38	ga_s2am_ard_3-2-1_49JHN_2023-12-15_final.stac-item
2023-12-25 12:04:39	ga_s2am_ard_3-2-1_49JHN_2023-12-25_final.stac-item
2024-01-17 12:14:48	ga_s2am_ard_3-2-1_49JGM_2024-01-17_final.stac-item
2024-02-03 12:04:38	ga_s2am_ard_3-2-1_49JHN_2024-02-03_final.stac-item
2024-02-13 12:04:54	ga_s2am_ard_3-2-1_49JHM_2024-02-13_final.stac-item
2024-02-16 12:14:54	ga_s2am_ard_3-2-1_49JGM_2024-02-16_final.stac-item
2024-02-23 12:05:13	ga_s2am_ard_3-2-1_49JGL_2024-02-23_final.stac-item
2024-03-27 12:14:42	ga_s2am_ard_3-2-1_49JGN_2024-03-27_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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