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_49JGN_2015-10-08_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JHM_2015-10-28_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGM_2015-12-17_final.stac-item
2016-01-26 12:04:01	ga_s2am_ard_3-2-1_49KHQ_2016-01-26_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGL_2016-02-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGN_2016-02-15_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGM_2016-03-09_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGN_2016-06-27_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JHM_2016-07-24_final.stac-item
2016-08-13 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-08-13_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JGL_2016-08-13_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KGR_2016-09-15_final.stac-item
2016-10-15 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-10-15_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHQ_2016-11-01_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGQ_2016-11-04_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGR_2016-11-04_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-01-03_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JGM_2017-01-20_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JHN_2017-01-20_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JHM_2017-03-11_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JHN_2017-03-11_final
2017-04-13 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-04-13_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2017-04-20_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JHN_2017-04-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KGP_2017-05-30_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49JGN_2017-08-18_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49JFM_2017-10-10_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGK_2017-11-26_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-11-26_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-02-14_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-02-17_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-02-24_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-02-24_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGN_2018-03-19_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-03-19_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2018-04-15_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-04-18_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGN_2018-05-08_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2018-07-07_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49KGR_2018-07-07_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2018-08-03_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KGQ_2018-09-25_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-11-01_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGN_2018-11-04_final
2019-01-10 12:04:38	ga_s2am_ard_3-2-1_49JHN_2019-01-10_final
2019-03-01 12:05:03	ga_s2am_ard_3-2-1_49JGL_2019-03-01_final
2019-05-13 12:15:00	ga_s2am_ard_3-2-1_49JGM_2019-05-13_final
2019-05-20 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-05-20_final
2019-06-19 12:04:32	ga_s2am_ard_3-2-1_49KHP_2019-06-19_final
2019-06-29 12:04:36	ga_s2am_ard_3-2-1_49KGP_2019-06-29_final
2019-06-29 12:05:01	ga_s2am_ard_3-2-1_49JHM_2019-06-29_final
2019-08-28 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2019-08-28_final
2019-09-07 12:05:28	ga_s2am_ard_3-2-1_49JGK_2019-09-07_final
2019-09-10 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-09-10_final
2019-09-17 12:04:56	ga_s2am_ard_3-2-1_49JHM_2019-09-17_final
2019-11-19 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-11-19_final
2019-12-06 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2019-12-06_final
2019-12-06 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-12-06_final
2020-01-15 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-15_final
2020-01-18 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-01-18_final
2020-02-04 12:04:38	ga_s2am_ard_3-2-1_49JGN_2020-02-04_final
2020-02-07 12:14:48	ga_s2am_ard_3-2-1_49JGM_2020-02-07_final
2020-03-08 12:14:37	ga_s2am_ard_3-2-1_49JGN_2020-03-08_final
2020-03-25 12:04:39	ga_s2am_ard_3-2-1_49JHN_2020-03-25_final
2020-04-14 12:04:42	ga_s2am_ard_3-2-1_49JHN_2020-04-14_final
2020-04-14 12:05:28	ga_s2am_ard_3-2-1_49JGK_2020-04-14_final
2020-05-14 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-05-14_final
2020-05-17 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-05-17_final
2020-06-13 12:04:37	ga_s2am_ard_3-2-1_49KGP_2020-06-13_final
2020-07-03 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-07-03_final
2020-07-26 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-07-26_final
2020-08-25 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-08-25_final
2020-09-11 12:05:00	ga_s2am_ard_3-2-1_49JHM_2020-09-11_final
2020-11-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2020-11-10_final
2020-11-10 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-11-10_final
2020-11-30 12:04:31	ga_s2am_ard_3-2-1_49KGP_2020-11-30_final
2021-01-12 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-01-12_final
2021-01-19 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-19_final
2021-02-18 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-02-18_final
2021-02-21 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-02-21_final
2021-03-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-03-03_final
2021-04-19 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2021-04-19_final
2021-05-19 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-05-19_final
2021-08-20 12:14:00	ga_s2am_ard_3-2-1_49KGR_2021-08-20_final
2021-09-19 12:14:23	ga_s2am_ard_3-2-1_49KHP_2021-09-19_final
2021-09-26 12:04:03	ga_s2am_ard_3-2-1_49KHR_2021-09-26_final
2021-12-08 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-12-08_final
2021-12-15 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-12-15_final
2022-09-11 12:05:40	ga_s2am_ard_3-2-1_49JGK_2022-09-11_final.stac-item
2022-09-11 12:05:54	ga_s2am_ard_3-2-1_49JGJ_2022-09-11_final.stac-item
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2022-11-23 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-11-23_final.stac-item
2023-02-01 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-02-01_final.stac-item
2023-03-23 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-03-23_final.stac-item
2023-04-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-04-09_final.stac-item
2023-05-12 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-05-12_final.stac-item
2023-05-29 12:05:00	ga_s2am_ard_3-2-1_49JHM_2023-05-29_final.stac-item
2023-07-31 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-07-31_final.stac-item
2023-09-19 12:14:30	ga_s2am_ard_3-2-1_49KGP_2023-09-19_final.stac-item
2023-10-09 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-09_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