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
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HLG_2016-02-19_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-25_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMH_2016-11-05_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHN_2016-11-11_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMG_2016-11-15_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMG_2016-11-28_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HLH_2016-12-25_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JHM_2017-04-10_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JHM_2017-06-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KHP_2017-07-09_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMH_2017-12-03_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMJ_2017-12-10_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGM_2018-01-05_final
2018-02-11 11:55:28	ga_s2am_ard_3-2-1_50HLH_2018-02-11_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-03-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-03-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-03-06_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGL_2018-03-16_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-03-19_final.stac-item
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLH_2018-04-02_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-18_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HMH_2018-05-02_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGL_2018-05-05_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGN_2018-05-05_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHP_2018-05-05_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HMG_2018-05-12_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMJ_2018-05-29_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-06-17_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HMJ_2018-06-18_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KGQ_2018-06-24_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGL_2018-08-13_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-08-13_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLK_2018-08-20_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-05_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-10-12_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-15_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-10-22_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-11-01_final
2018-12-08 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-12-08_final
2018-12-11 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-11_final
2019-02-06 11:57:17	ga_s2am_ard_3-2-1_50HMG_2019-02-06_final.stac-item
2019-02-12 12:13:36	ga_s2am_ard_3-2-1_49KHS_2019-02-12_final.stac-item
2019-03-31 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-03-31_final
2019-04-24 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-04-24_final.stac-item
2019-07-09 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final.stac-item
2019-07-13 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-07-13_final.stac-item
2019-08-08 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-08-08_final
2019-08-28 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-08-28_final
2019-09-04 11:56:40	ga_s2am_ard_3-2-1_50HLK_2019-09-04_final
2019-10-17 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-10-17_final.stac-item
2019-10-21 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-10-21_final
2019-11-20 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-11-20_final
2019-11-23 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-11-23_final
2020-01-09 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-09_final
2020-03-08 12:13:36	ga_s2am_ard_3-2-1_49KHS_2020-03-08_final.stac-item
2020-03-28 12:14:37	ga_s2am_ard_3-2-1_49JGN_2020-03-28_final
2020-05-21 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-21_final
2020-05-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-28_final
2020-06-26 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-06-26_final.stac-item
2020-06-27 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-06-27_final.stac-item
2020-07-10 11:57:27	ga_s2am_ard_3-2-1_50HLG_2020-07-10_final.stac-item
2020-08-05 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-08-05_final.stac-item
2020-08-25 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-08-25_final.stac-item
2020-10-28 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-10-28_final
2020-11-24 11:47:11	ga_s2am_ard_3-2-1_50HMH_2020-11-24_final
2020-11-27 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2020-11-27_final
2020-12-14 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2020-12-14_final
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2020-12-20_final.stac-item
2020-12-30 12:03:44	ga_s2am_ard_3-2-1_49KHS_2020-12-30_final.stac-item
2021-01-06 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-06_final
2021-01-12 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-12_final
2021-01-22 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-01-22_final
2021-02-28 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-02-28_final
2021-03-14 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-03-14_final
2021-03-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-03-17_final
2021-03-23 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-03-23_final
2021-04-02 12:15:07	ga_s2am_ard_3-2-1_49JGL_2021-04-02_final
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-04-23 11:47:06	ga_s2am_ard_3-2-1_50HMH_2021-04-23_final
2021-04-26 11:57:03	ga_s2am_ard_3-2-1_50HLH_2021-04-26_final
2021-04-29 12:04:25	ga_s2am_ard_3-2-1_49KHP_2021-04-29_final
2021-04-29 12:04:28	ga_s2am_ard_3-2-1_49KGP_2021-04-29_final
2021-06-18 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-06-18_final
2021-07-01 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-07-01_final
2021-07-01 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2021-07-01_final
2021-07-01 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-07-01_final
2021-07-08 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-08_final
2021-07-08 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2021-07-08_final
2021-07-11 12:13:57	ga_s2am_ard_3-2-1_49KHR_2021-07-11_final
2021-07-21 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-07-21_final
2021-07-28 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-28_final
2021-08-07 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-07_final
2021-08-17 12:04:30	ga_s2am_ard_3-2-1_49KHP_2021-08-17_final
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final
2021-11-12 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-11-12_final
2021-11-25 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-11-25_final.stac-item
2022-04-24 12:03:49	ga_s2am_ard_3-2-1_49KHS_2022-04-24_final.stac-item
2022-10-01 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-10-01_final.stac-item
2023-01-26 11:57:20	ga_s2am_ard_3-2-1_50HLG_2023-01-26_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