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 12:05:25	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50HMG_2016-04-02_final.stac-item
2016-05-05 12:04:47	ga_s2am_ard_3-2-1_49JGK_2016-05-05_final.stac-item
2016-07-07 12:14:44	ga_s2am_ard_3-2-1_49JGM_2016-07-07_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2016-09-12_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JHN_2016-09-12_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-09-15_final.stac-item
2016-09-22 12:03:42	ga_s2am_ard_3-2-1_49KHR_2016-09-22_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGN_2016-10-02_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGL_2016-11-01_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLJ_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HLH_2016-11-28_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGN_2016-12-31_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLG_2017-02-16_final.stac-item
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_49JGL_2017-03-21_final
2017-05-20 12:04:45	ga_s2am_ard_3-2-1_49JGM_2017-05-20_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JGK_2017-05-30_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGM_2017-06-19_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMG_2017-08-12_final.stac-item
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JGL_2017-08-21_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLG_2017-09-14_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLH_2017-09-14_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-11-29_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-11-29_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HLJ_2017-12-23_final
2018-01-12 11:50:28	ga_s2am_ard_3-2-1_50HLK_2018-01-12_final
2018-01-15 12:03:40	ga_s2am_ard_3-2-1_49KHR_2018-01-15_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-02-27_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JHM_2018-05-05_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_49JHN_2018-05-15_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGN_2018-05-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-05-18_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HLH_2018-07-08_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLK_2018-07-11_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49KGP_2018-07-14_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2018-07-24_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JHM_2018-08-03_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-08-03_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGN_2018-09-05_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHR_2018-09-05_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-09-12_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLH_2018-09-19_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-22_final
2018-11-21 12:05:08	ga_s2am_ard_3-2-1_49JGL_2018-11-21_final
2018-12-01 12:03:50	ga_s2am_ard_3-2-1_49KHR_2018-12-01_final
2018-12-08 11:56:32	ga_s2am_ard_3-2-1_50HLK_2018-12-08_final
2018-12-11 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-11_final
2018-12-31 12:04:25	ga_s2am_ard_3-2-1_49KGP_2018-12-31_final
2019-05-23 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-05-23_final
2019-05-27 11:57:23	ga_s2am_ard_3-2-1_50HMG_2019-05-27_final.stac-item
2019-05-27 11:57:26	ga_s2am_ard_3-2-1_50HLG_2019-05-27_final.stac-item
2019-06-23 11:47:28	ga_s2am_ard_3-2-1_50HMG_2019-06-23_final.stac-item
2019-07-13 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-07-13_final.stac-item
2019-08-28 12:04:47	ga_s2am_ard_3-2-1_49JGN_2019-08-28_final
2019-10-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-10-07_final
2019-10-07 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-10-07_final
2019-10-17 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-10-17_final
2019-11-13 11:57:25	ga_s2am_ard_3-2-1_50HLG_2019-11-13_final.stac-item
2019-11-23 11:57:24	ga_s2am_ard_3-2-1_50HLG_2019-11-23_final.stac-item
2019-11-30 11:47:23	ga_s2am_ard_3-2-1_50HMG_2019-11-30_final.stac-item
2019-12-30 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-12-30_final.stac-item
2020-01-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2020-01-08_final
2020-01-08 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2020-01-08_final
2020-01-08 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-01-08_final
2020-03-08 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-08_final
2020-03-28 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-28_final
2020-03-28 12:14:37	ga_s2am_ard_3-2-1_49JGN_2020-03-28_final
2020-04-04 12:03:41	ga_s2am_ard_3-2-1_49KHS_2020-04-04_final.stac-item
2020-04-04 12:04:53	ga_s2am_ard_3-2-1_49JHM_2020-04-04_final
2020-04-27 12:14:23	ga_s2am_ard_3-2-1_49KHP_2020-04-27_final
2020-05-27 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-05-27_final
2020-06-23 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-06-23_final
2020-06-27 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-06-27_final.stac-item
2020-09-05 11:47:32	ga_s2am_ard_3-2-1_50HLG_2020-09-05_final.stac-item
2020-10-08 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-10-08_final
2020-10-11 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-10-11_final
2020-10-18 11:57:26	ga_s2am_ard_3-2-1_50HMG_2020-10-18_final.stac-item
2020-12-30 12:04:57	ga_s2am_ard_3-2-1_49JHM_2020-12-30_final
2021-03-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2021-03-20_final
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-03-30_final
2021-04-19 12:05:05	ga_s2am_ard_3-2-1_49JGL_2021-04-19_final
2021-04-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2021-04-19_final
2021-06-18 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-06-18_final
2021-06-18 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-06-18_final
2021-06-21 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-06-21_final
2021-06-21 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-21_final
2021-07-28 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-28_final
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final
2021-08-27 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-27_final
2021-08-27 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-08-27_final
2021-12-15 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-12-15_final.stac-item
2022-01-31 11:57:09	ga_s2am_ard_3-2-1_50HLH_2022-01-31_final
2022-03-28 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-03-28_final
2022-04-11 11:57:22	ga_s2am_ard_3-2-1_50HMG_2022-04-11_final.stac-item
2023-01-26 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-01-26_final.stac-item
2023-01-26 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-01-26_final.stac-item
2023-02-12 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-12_final.stac-item
2023-08-07 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-08-07_final.stac-item
2023-09-09 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-09-09_final.stac-item
2024-04-06 12:13:38	ga_s2am_ard_3-2-1_49KHS_2024-04-06_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