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_49JGM_2015-10-08_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JFM_2016-01-09_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGL_2016-02-15_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49JGN_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLG_2016-03-20_final.stac-item
2016-07-07 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-07-07_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-09-15_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-05_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHS_2016-10-05_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-31_final
2017-01-13 12:14:33	ga_s2am_ard_3-2-1_49JGM_2017-01-13_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-12_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGM_2017-07-09_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGL_2017-09-27_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HLG_2017-11-20_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGM_2017-11-26_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-11-29_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLK_2017-12-03_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-14_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-02-14_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-02-14_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHQ_2018-03-09_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGL_2018-03-29_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HLK_2018-04-02_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGJ_2018-04-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JGK_2018-05-05_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-05-18_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-06-17_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-08-03_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGP_2018-08-06_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-08-26_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49JGL_2018-09-05_final
2018-09-15 12:14:38	ga_s2am_ard_3-2-1_49JGM_2018-09-15_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50HLK_2018-09-19_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-11-01_final
2018-11-11 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2018-11-11_final
2018-12-08 11:57:15	ga_s2am_ard_3-2-1_50HLG_2018-12-08_final.stac-item
2018-12-21 12:04:05	ga_s2am_ard_3-2-1_49KHQ_2018-12-21_final
2018-12-21 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-21_final
2019-03-18 11:57:06	ga_s2am_ard_3-2-1_50HLH_2019-03-18_final
2019-03-21 12:03:42	ga_s2am_ard_3-2-1_49KHS_2019-03-21_final.stac-item
2019-08-05 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-08-05_final
2019-08-08 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-08-08_final
2019-08-28 12:04:32	ga_s2am_ard_3-2-1_49KGP_2019-08-28_final
2019-10-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-10-07_final
2019-11-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2019-11-16_final.stac-item
2019-11-29 12:14:55	ga_s2am_ard_3-2-1_49JGM_2019-11-29_final
2019-12-16 12:03:39	ga_s2am_ard_3-2-1_49KHS_2019-12-16_final.stac-item
2019-12-29 12:14:54	ga_s2am_ard_3-2-1_49JFM_2019-12-29_final
2020-02-04 12:03:51	ga_s2am_ard_3-2-1_49KHR_2020-02-04_final
2020-05-14 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-05-14_final.stac-item
2020-06-13 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-13_final
2020-06-30 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-06-30_final
2020-10-24 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-10-24_final
2020-11-13 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-11-13_final
2020-11-20 12:05:03	ga_s2am_ard_3-2-1_49JGM_2020-11-20_final
2020-12-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2020-12-30_final
2021-01-22 12:13:59	ga_s2am_ard_3-2-1_49KGR_2021-01-22_final
2021-02-08 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-08_final
2021-03-03 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-03-03_final
2021-03-10 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-03-10_final
2021-03-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-03-13_final
2021-03-30 12:05:12	ga_s2am_ard_3-2-1_49JGL_2021-03-30_final
2021-04-16 11:57:17	ga_s2am_ard_3-2-1_50HLG_2021-04-16_final.stac-item
2021-04-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2021-04-19_final.stac-item
2021-04-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2021-04-22_final
2021-05-09 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-05-09_final
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final
2021-06-01 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-06-01_final
2021-06-11 12:14:22	ga_s2am_ard_3-2-1_49KHP_2021-06-11_final
2021-06-18 12:04:57	ga_s2am_ard_3-2-1_49JHM_2021-06-18_final
2021-07-08 12:04:34	ga_s2am_ard_3-2-1_49KGP_2021-07-08_final
2021-07-15 11:57:12	ga_s2am_ard_3-2-1_50HLH_2021-07-15_final
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final
2021-09-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-09-09_final
2021-12-18 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-12-18_final
2021-12-28 12:14:58	ga_s2am_ard_3-2-1_49JGM_2021-12-28_final
2022-01-07 12:13:56	ga_s2am_ard_3-2-1_49KHR_2022-01-07_final
2022-01-27 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-01-27_final
2022-02-17 11:47:15	ga_s2am_ard_3-2-1_50HLH_2022-02-17_final
2022-02-17 11:47:25	ga_s2am_ard_3-2-1_50HMG_2022-02-17_final.stac-item
2022-03-12 11:57:28	ga_s2am_ard_3-2-1_50HLG_2022-03-12_final.stac-item
2022-05-24 12:04:06	ga_s2am_ard_3-2-1_49KHR_2022-05-24_final
2022-07-30 11:57:19	ga_s2am_ard_3-2-1_50HLH_2022-07-30_final
2022-10-14 12:15:01	ga_s2am_ard_3-2-1_49JGM_2022-10-14_final.stac-item
2022-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-20_final.stac-item
2022-12-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2022-12-27_final.stac-item
2023-02-01 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-02-01_final.stac-item
2023-02-11 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-02-11_final.stac-item
2023-08-27 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2023-08-27_final.stac-item
2023-11-28 12:14:20	ga_s2am_ard_3-2-1_49KGP_2023-11-28_final.stac-item
2023-12-25 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-12-25_final.stac-item
2024-01-11 11:57:04	ga_s2am_ard_3-2-1_50HLH_2024-01-11_final.stac-item
2024-01-14 12:03:53	ga_s2am_ard_3-2-1_49KHR_2024-01-14_final.stac-item
2024-01-17 12:14:48	ga_s2am_ard_3-2-1_49JGM_2024-01-17_final.stac-item
2024-01-27 12:14:50	ga_s2am_ard_3-2-1_49JGM_2024-01-27_final.stac-item
2024-01-31 11:57:05	ga_s2am_ard_3-2-1_50HLH_2024-01-31_final.stac-item
2024-02-03 12:05:25	ga_s2am_ard_3-2-1_49JGK_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