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
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGL_2015-12-07_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGM_2016-02-05_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGM_2016-04-15_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_49KGP_2016-11-14_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGL_2016-11-21_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGJ_2016-12-21_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49JGM_2017-02-19_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JGM_2017-08-21_final
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-10-30_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-11-29_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
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JFN_2018-02-27_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-03-19_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGL_2018-04-15_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGM_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-22_final
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JFM_2018-10-25_final
2018-12-01 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-01_final
2018-12-11 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-11_final
2018-12-14 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-14_final
2018-12-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-12-24_final
2019-01-30 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-01-30_final
2019-02-19 12:03:55	ga_s2am_ard_3-2-1_49KHR_2019-02-19_final
2019-02-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-02-22_final
2019-03-01 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-03-01_final
2019-03-01 12:05:10	ga_s2am_ard_3-2-1_49JGL_2019-03-01_final
2019-05-30 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2019-05-30_final.stac-item
2019-08-28 12:04:32	ga_s2am_ard_3-2-1_49KGP_2019-08-28_final
2019-09-27 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-09-27_final
2019-10-17 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-10-17_final
2019-10-17 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-10-17_final
2019-10-27 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-10-27_final
2019-11-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-11-16_final
2019-11-26 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-11-26_final
2019-12-16 12:05:09	ga_s2am_ard_3-2-1_49JGL_2019-12-16_final
2020-01-25 12:05:22	ga_s2am_ard_3-2-1_49JGK_2020-01-25_final
2020-02-14 12:04:54	ga_s2am_ard_3-2-1_49JGM_2020-02-14_final
2020-03-05 12:03:59	ga_s2am_ard_3-2-1_49KHQ_2020-03-05_final
2020-04-27 12:15:02	ga_s2am_ard_3-2-1_49JFM_2020-04-27_final
2020-05-14 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-05-14_final
2020-05-17 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-05-17_final
2020-06-03 12:04:13	ga_s2am_ard_3-2-1_49KHR_2020-06-03_final
2020-07-16 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-07-16_final
2020-09-01 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-09-01_final
2020-11-20 12:04:48	ga_s2am_ard_3-2-1_49JGN_2020-11-20_final
2020-11-23 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2020-11-23_final
2020-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2020-12-20_final
2021-02-01 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-02-01_final
2021-02-08 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-02-08_final
2021-02-21 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-02-21_final
2021-03-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2021-03-23_final
2021-04-19 12:04:37	ga_s2am_ard_3-2-1_49JHN_2021-04-19_final
2021-06-11 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-11_final
2021-06-21 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-21_final
2021-06-21 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-21_final
2021-07-01 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-07-01_final
2021-08-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-08-27_final
2021-09-26 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-09-26_final
2021-10-09 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-09_final
2021-11-18 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-11-18_final
2021-12-15 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-12-15_final
2022-03-18 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-03-18_final
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2022-04-24 12:05:05	ga_s2am_ard_3-2-1_49JGM_2022-04-24_final
2022-05-04 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-05-04_final
2022-05-14 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-05-14_final
2022-05-24 12:04:49	ga_s2am_ard_3-2-1_49JHN_2022-05-24_final
2022-05-27 12:15:18	ga_s2am_ard_3-2-1_49JGL_2022-05-27_final
2022-06-06 12:14:02	ga_s2am_ard_3-2-1_49KHR_2022-06-06_final
2022-07-16 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-07-16_final
2022-07-23 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-07-23_final
2022-10-01 12:05:51	ga_s2am_ard_3-2-1_49JGJ_2022-10-01_final.stac-item
2022-10-21 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2022-10-21_final.stac-item
2022-10-24 12:15:02	ga_s2am_ard_3-2-1_49JFM_2022-10-24_final.stac-item
2022-10-31 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-10-31_final.stac-item
2022-11-03 12:15:14	ga_s2am_ard_3-2-1_49JGL_2022-11-03_final.stac-item
2022-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2022-11-10_final.stac-item
2022-11-13 12:14:30	ga_s2am_ard_3-2-1_49KGP_2022-11-13_final.stac-item
2022-12-03 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-12-03_final.stac-item
2023-01-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2023-01-22_final.stac-item
2023-02-01 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-02-01_final.stac-item
2023-03-03 12:15:07	ga_s2am_ard_3-2-1_49JGL_2023-03-03_final.stac-item
2023-04-02 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-04-02_final.stac-item
2023-04-02 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-04-02_final.stac-item
2023-08-17 12:04:05	ga_s2am_ard_3-2-1_49KHR_2023-08-17_final.stac-item
2023-08-20 12:15:02	ga_s2am_ard_3-2-1_49JGM_2023-08-20_final.stac-item
2023-10-09 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-10-09_final.stac-item
2023-10-26 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-10-26_final.stac-item
2023-10-29 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-10-29_final.stac-item
2023-10-29 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-10-29_final.stac-item
2023-11-15 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-15_final.stac-item
2023-11-25 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-11-25_final.stac-item
2024-01-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2024-01-14_final.stac-item
2024-04-03 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-04-03_final.stac-item
2024-04-16 12:15:02	ga_s2am_ard_3-2-1_49JFM_2024-04-16_final.stac-item
2024-04-23 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2024-04-23_final.stac-item
2024-04-26 12:14:00	ga_s2am_ard_3-2-1_49KGR_2024-04-26_final.stac-item
2024-05-03 12:05:03	ga_s2am_ard_3-2-1_49JGM_2024-05-03_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

All years