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
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HLG_2016-05-09_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JGL_2016-07-14_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HMH_2016-08-10_final.stac-item
2016-10-15 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-10-15_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-10-25_final.stac-item
2016-11-08 11:56:13	ga_s2am_ard_3-2-1_50HLK_2016-11-08_final.stac-item
2016-11-08 11:56:13	ga_s2am_ard_3-2-1_50HMJ_2016-11-08_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGN_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HMJ_2017-01-07_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_49JGM_2017-05-20_final
2017-06-16 11:56:08	ga_s2am_ard_3-2-1_50HLK_2017-06-16_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHR_2017-09-27_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HMJ_2017-10-31_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-11-29_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JHN_2017-12-19_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KGR_2017-12-19_final
2017-12-29 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-12-29_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHM_2018-01-05_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JGM_2018-01-15_final
2018-02-07 12:14:38	ga_s2am_ard_3-2-1_49JGL_2018-02-07_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HMJ_2018-02-21_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMH_2018-03-10_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_49JGM_2018-03-16_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50HLJ_2018-03-23_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-04-15_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JHM_2018-05-05_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHQ_2018-05-18_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHR_2018-05-18_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HLH_2018-05-19_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-05-28_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGN_2018-05-28_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGN_2018-06-27_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49KHP_2018-07-24_final
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHP_2018-07-27_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLG_2018-07-31_final.stac-item
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JGN_2018-08-03_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHR_2018-08-13_final
2018-08-27 11:45:54	ga_s2am_ard_3-2-1_50HMJ_2018-08-27_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGM_2018-09-05_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-09-12_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KGQ_2018-10-12_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-10-22_final
2018-10-25 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-10-25_final
2018-11-08 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2018-11-08_final
2018-11-14 12:14:15	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final
2018-12-01 12:04:23	ga_s2am_ard_3-2-1_49KGP_2018-12-01_final
2018-12-01 12:04:48	ga_s2am_ard_3-2-1_49JHM_2018-12-01_final
2018-12-11 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-11_final.stac-item
2018-12-28 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2018-12-28_final
2018-12-31 12:04:21	ga_s2am_ard_3-2-1_49KHP_2018-12-31_final
2019-01-20 12:03:55	ga_s2am_ard_3-2-1_49KHR_2019-01-20_final
2019-04-24 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-04-24_final
2019-06-19 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-06-19_final
2019-06-19 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-06-19_final
2019-10-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-10-20_final
2019-10-21 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-21_final
2019-11-13 11:57:08	ga_s2am_ard_3-2-1_50HMH_2019-11-13_final
2019-12-23 11:57:00	ga_s2am_ard_3-2-1_50HMH_2019-12-23_final
2020-01-05 12:04:40	ga_s2am_ard_3-2-1_49JGN_2020-01-05_final
2020-01-05 12:04:55	ga_s2am_ard_3-2-1_49JGM_2020-01-05_final
2020-02-01 11:57:15	ga_s2am_ard_3-2-1_50HLG_2020-02-01_final.stac-item
2020-03-05 12:04:56	ga_s2am_ard_3-2-1_49JGM_2020-03-05_final
2020-03-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2020-03-22_final
2020-03-28 12:13:54	ga_s2am_ard_3-2-1_49KGR_2020-03-28_final
2020-04-11 11:57:19	ga_s2am_ard_3-2-1_50HMG_2020-04-11_final.stac-item
2020-05-04 12:03:48	ga_s2am_ard_3-2-1_49KHS_2020-05-04_final.stac-item
2020-05-14 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-05-14_final
2020-06-13 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-13_final
2020-12-20 12:04:44	ga_s2am_ard_3-2-1_49JGN_2020-12-20_final
2021-01-09 12:04:28	ga_s2am_ard_3-2-1_49KHP_2021-01-09_final
2021-01-09 12:04:43	ga_s2am_ard_3-2-1_49JHN_2021-01-09_final
2021-01-22 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-22_final
2021-03-10 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-03-10_final
2021-04-02 12:14:38	ga_s2am_ard_3-2-1_49JGN_2021-04-02_final
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-04-26 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-04-26_final
2021-05-09 12:05:28	ga_s2am_ard_3-2-1_49JGK_2021-05-09_final
2021-05-13 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-05-13_final.stac-item
2021-06-21 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-06-21_final
2021-06-25 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-06-25_final
2021-07-28 12:04:35	ga_s2am_ard_3-2-1_49KGP_2021-07-28_final
2021-08-10 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-08-10_final
2021-08-10 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-08-10_final
2021-08-14 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-08-14_final
2021-09-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-09-09_final
2021-09-10 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-09-10_final.stac-item
2021-11-12 11:57:11	ga_s2am_ard_3-2-1_50HLH_2021-11-12_final
2021-11-15 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-11-15_final.stac-item
2021-12-28 12:13:56	ga_s2am_ard_3-2-1_49KHR_2021-12-28_final
2022-07-26 12:15:06	ga_s2am_ard_3-2-1_49JGM_2022-07-26_final
2022-11-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-11-10_final.stac-item
2023-02-28 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-02-28_final.stac-item
2023-05-06 11:57:22	ga_s2am_ard_3-2-1_50HLG_2023-05-06_final.stac-item
2023-07-01 12:14:46	ga_s2am_ard_3-2-1_49JGN_2023-07-01_final.stac-item
2023-08-11 11:47:29	ga_s2am_ard_3-2-1_50HMG_2023-08-11_final.stac-item
2023-10-13 11:57:20	ga_s2am_ard_3-2-1_50HLG_2023-10-13_final.stac-item
2023-11-05 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-11-05_final.stac-item
2024-01-04 12:03:41	ga_s2am_ard_3-2-1_49KHS_2024-01-04_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