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
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGM_2016-02-05_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-03-06_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGL_2016-03-16_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-08_final.stac-item
2016-05-25 12:03:53	ga_s2am_ard_3-2-1_49KHR_2016-05-25_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JFN_2016-07-07_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGM_2016-08-23_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KGP_2016-11-14_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-31_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-01-03_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49JGM_2017-02-19_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JGN_2017-04-30_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JGM_2017-08-21_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JFM_2017-09-30_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGM_2017-09-30_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49JFM_2017-10-20_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGM_2017-11-16_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-04-08_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-08_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KGP_2018-04-18_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49KHR_2018-05-15_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHR_2018-06-04_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-06-17_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-22_final
2018-11-21 12:04:49	ga_s2am_ard_3-2-1_49JGM_2018-11-21_final
2018-12-04 12:14:47	ga_s2am_ard_3-2-1_49JGM_2018-12-04_final
2018-12-31 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2018-12-31_final
2019-01-13 12:13:50	ga_s2am_ard_3-2-1_49KHR_2019-01-13_final
2019-01-20 12:05:11	ga_s2am_ard_3-2-1_49JGL_2019-01-20_final
2019-02-12 12:13:51	ga_s2am_ard_3-2-1_49KHR_2019-02-12_final
2019-02-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-02-22_final
2019-03-01 12:05:03	ga_s2am_ard_3-2-1_49JGL_2019-03-01_final
2019-03-24 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2019-03-24_final
2019-04-10 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-04-10_final
2019-06-09 12:04:34	ga_s2am_ard_3-2-1_49KGP_2019-06-09_final
2019-07-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2019-07-09_final.stac-item
2019-08-31 12:13:55	ga_s2am_ard_3-2-1_49KHR_2019-08-31_final
2019-09-17 12:03:58	ga_s2am_ard_3-2-1_49KHR_2019-09-17_final
2019-10-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-10-07_final
2019-11-06 12:05:11	ga_s2am_ard_3-2-1_49JFM_2019-11-06_final
2019-11-16 12:05:31	ga_s2am_ard_3-2-1_49JGK_2019-11-16_final
2020-01-08 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-08_final
2020-01-15 12:04:12	ga_s2am_ard_3-2-1_49KGQ_2020-01-15_final
2020-01-28 12:13:47	ga_s2am_ard_3-2-1_49KHR_2020-01-28_final
2020-02-27 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2020-02-27_final
2020-05-17 12:14:46	ga_s2am_ard_3-2-1_49JGN_2020-05-17_final
2020-07-13 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-07-13_final
2020-07-26 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-07-26_final
2020-08-12 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-08-12_final
2020-09-01 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-09-01_final
2020-09-04 12:15:15	ga_s2am_ard_3-2-1_49JGL_2020-09-04_final
2020-09-11 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-09-11_final
2020-10-24 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-10-24_final
2020-11-23 12:14:14	ga_s2am_ard_3-2-1_49KGQ_2020-11-23_final
2020-12-03 12:14:26	ga_s2am_ard_3-2-1_49KGP_2020-12-03_final
2020-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2020-12-20_final
2020-12-23 12:13:57	ga_s2am_ard_3-2-1_49KGR_2020-12-23_final
2020-12-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-12-30_final
2021-02-01 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-02-01_final
2021-02-08 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-02-08_final
2021-04-09 12:04:09	ga_s2am_ard_3-2-1_49KHQ_2021-04-09_final
2021-04-09 12:04:38	ga_s2am_ard_3-2-1_49JHN_2021-04-09_final
2021-04-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2021-04-22_final
2021-05-19 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-05-19_final
2021-06-18 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-06-18_final
2021-06-21 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-21_final
2021-08-20 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-08-20_final
2021-08-27 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-27_final
2021-08-30 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-08-30_final
2021-10-09 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-09_final
2022-01-27 12:13:55	ga_s2am_ard_3-2-1_49KHR_2022-01-27_final
2022-02-26 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2022-02-26_final
2022-03-15 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-03-15_final
2022-03-28 12:14:59	ga_s2am_ard_3-2-1_49JGM_2022-03-28_final
2022-05-24 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-05-24_final
2022-07-03 12:05:42	ga_s2am_ard_3-2-1_49JGK_2022-07-03_final
2022-09-14 12:14:37	ga_s2am_ard_3-2-1_49KGP_2022-09-14_final.stac-item
2022-10-01 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-10-01_final.stac-item
2022-10-04 12:14:34	ga_s2am_ard_3-2-1_49KGP_2022-10-04_final.stac-item
2022-10-11 12:04:05	ga_s2am_ard_3-2-1_49KHR_2022-10-11_final.stac-item
2022-10-21 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-10-21_final.stac-item
2022-10-31 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-10-31_final.stac-item
2022-11-13 12:13:58	ga_s2am_ard_3-2-1_49KHR_2022-11-13_final.stac-item
2022-12-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-12-03_final.stac-item
2022-12-03 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-12-03_final.stac-item
2023-02-01 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-02-01_final.stac-item
2023-02-08 12:03:58	ga_s2am_ard_3-2-1_49KHR_2023-02-08_final.stac-item
2023-03-30 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2023-03-30_final.stac-item
2023-04-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-04-29_final.stac-item
2023-05-22 12:14:59	ga_s2am_ard_3-2-1_49JGM_2023-05-22_final.stac-item
2023-05-29 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-05-29_final.stac-item
2023-05-29 12:04:35	ga_s2am_ard_3-2-1_49KGP_2023-05-29_final.stac-item
2023-06-08 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-08_final.stac-item
2023-06-28 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-06-28_final.stac-item
2023-10-29 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-10-29_final.stac-item
2023-12-25 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2023-12-25_final.stac-item
2024-02-23 12:04:38	ga_s2am_ard_3-2-1_49JHN_2024-02-23_final.stac-item
2024-02-23 12:05:13	ga_s2am_ard_3-2-1_49JGL_2024-02-23_final.stac-item
2024-04-16 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2024-04-16_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