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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLH_2015-12-21_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGN_2015-12-27_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HMH_2016-03-20_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGL_2016-05-05_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-02_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KGP_2016-10-22_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-25_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMG_2016-11-05_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMH_2017-01-14_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2017-01-14_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JGL_2017-05-20_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-23_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGM_2017-05-23_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHP_2017-09-27_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHR_2017-09-27_final
2017-10-27 12:03:47	ga_s2am_ard_3-2-1_49KHQ_2017-10-27_final
2017-10-27 12:03:47	ga_s2am_ard_3-2-1_49KHR_2017-10-27_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMJ_2017-12-10_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-12-19_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGM_2018-01-05_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHM_2018-01-05_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HMJ_2018-01-19_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-03-06_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLJ_2018-03-13_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMJ_2018-03-13_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HLJ_2018-03-23_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49JGL_2018-04-05_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGN_2018-05-05_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHP_2018-06-04_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JHN_2018-06-14_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-06-17_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLK_2018-06-21_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-04_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-07-17_final
2018-07-17 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2018-07-17_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-07-24_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLJ_2018-07-31_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGR_2018-08-06_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-08-16_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMJ_2018-08-27_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HLJ_2018-08-30_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50HLK_2018-08-30_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JFN_2018-09-05_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-02_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-02_final
2018-11-14 12:15:05	ga_s2am_ard_3-2-1_49JGL_2018-11-14_final
2018-12-01 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-01_final
2018-12-11 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-11_final
2018-12-18 11:57:00	ga_s2am_ard_3-2-1_50HLH_2018-12-18_final
2018-12-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-12-24_final
2018-12-25 11:47:17	ga_s2am_ard_3-2-1_50HMG_2018-12-25_final.stac-item
2018-12-28 11:56:33	ga_s2am_ard_3-2-1_50HLK_2018-12-28_final
2019-04-13 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-04-13_final
2019-06-19 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-06-19_final
2019-07-09 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final.stac-item
2019-07-09 12:05:34	ga_s2am_ard_3-2-1_49JGK_2019-07-09_final
2019-11-20 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2019-11-20_final
2019-11-20 11:47:25	ga_s2am_ard_3-2-1_50HMG_2019-11-20_final.stac-item
2019-11-23 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-11-23_final
2019-12-23 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2019-12-23_final
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final
2020-01-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-05_final
2020-01-12 11:56:45	ga_s2am_ard_3-2-1_50HMJ_2020-01-12_final
2020-01-12 11:57:15	ga_s2am_ard_3-2-1_50HMG_2020-01-12_final.stac-item
2020-01-19 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-01-19_final.stac-item
2020-02-18 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-02-18_final
2020-03-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2020-03-22_final
2020-03-28 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-28_final
2020-04-24 12:05:16	ga_s2am_ard_3-2-1_49JGL_2020-04-24_final
2020-04-28 11:46:43	ga_s2am_ard_3-2-1_50HMK_2020-04-28_final
2020-10-28 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-10-28_final
2020-11-07 11:57:28	ga_s2am_ard_3-2-1_50HLG_2020-11-07_final.stac-item
2020-12-04 11:47:08	ga_s2am_ard_3-2-1_50HMH_2020-12-04_final
2020-12-30 12:04:46	ga_s2am_ard_3-2-1_49JGN_2020-12-30_final
2021-01-09 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-01-09_final
2021-01-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-23_final
2021-01-26 11:57:06	ga_s2am_ard_3-2-1_50HMH_2021-01-26_final
2021-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-02-12_final
2021-02-15 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-02-15_final.stac-item
2021-03-10 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-03-10_final
2021-03-10 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-03-10_final
2021-03-14 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-03-14_final
2021-03-14 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-03-14_final
2021-03-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-03-17_final
2021-03-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2021-03-17_final
2021-03-27 11:56:38	ga_s2am_ard_3-2-1_50HLK_2021-03-27_final
2021-04-06 11:56:53	ga_s2am_ard_3-2-1_50HMH_2021-04-06_final
2021-04-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final
2021-05-19 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-05-19_final
2021-06-21 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-21_final
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final
2021-06-28 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-06-28_final
2021-07-08 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-07-08_final
2021-08-10 12:15:02	ga_s2am_ard_3-2-1_49JFM_2021-08-10_final
2021-10-23 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-23_final
2021-10-23 11:57:25	ga_s2am_ard_3-2-1_50HMG_2021-10-23_final.stac-item
2021-12-05 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-12-05_final
2023-06-15 11:57:17	ga_s2am_ard_3-2-1_50HLH_2023-06-15_final.stac-item
2024-01-01 11:57:06	ga_s2am_ard_3-2-1_50HLH_2024-01-01_final.stac-item
2024-02-03 12:03:40	ga_s2am_ard_3-2-1_49KHS_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

All years