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
2015-09-11 12:14:44	ga_s2am_ard_3-2-1_49JGM_2015-09-11_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JHN_2015-12-07_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGK_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHS_2016-01-16_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGM_2016-02-05_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JGL_2016-08-03_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-09-15_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-10-02_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGL_2016-11-11_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGM_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
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLH_2016-11-18_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLJ_2017-02-16_final
2017-05-23 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-23_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHS_2017-05-30_final.stac-item
2017-07-22 12:14:43	ga_s2am_ard_3-2-1_49JGM_2017-07-22_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_49JHN_2018-01-05_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGM_2018-01-08_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-27_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-03-06_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-03-06_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-04-08_final.stac-item
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMH_2018-04-09_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HMJ_2018-04-09_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHM_2018-04-25_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLJ_2018-05-02_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHS_2018-05-08_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-05-18_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMJ_2018-05-19_final
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HLK_2018-05-22_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HLH_2018-05-29_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KHQ_2018-06-04_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMG_2018-06-28_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-07-24_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLJ_2018-07-31_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2018-08-23_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMH_2018-09-06_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-09-12_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLH_2018-09-29_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-10-12_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-10-15_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLK_2018-10-29_final
2018-11-14 12:15:05	ga_s2am_ard_3-2-1_49JGL_2018-11-14_final
2018-12-18 11:57:14	ga_s2am_ard_3-2-1_50HLG_2018-12-18_final.stac-item
2019-01-07 11:56:35	ga_s2am_ard_3-2-1_50HLK_2019-01-07_final
2019-02-26 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2019-02-26_final
2019-04-07 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-04-07_final
2019-06-09 12:05:17	ga_s2am_ard_3-2-1_49JGL_2019-06-09_final
2019-07-09 12:05:06	ga_s2am_ard_3-2-1_49JGM_2019-07-09_final
2019-07-09 12:05:20	ga_s2am_ard_3-2-1_49JGL_2019-07-09_final
2019-07-12 12:15:15	ga_s2am_ard_3-2-1_49JGL_2019-07-12_final
2019-07-26 11:57:25	ga_s2am_ard_3-2-1_50HMG_2019-07-26_final.stac-item
2019-10-14 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-10-14_final
2019-10-21 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-21_final
2019-11-30 11:47:27	ga_s2am_ard_3-2-1_50HLG_2019-11-30_final.stac-item
2019-12-10 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2019-12-10_final
2020-04-21 11:57:21	ga_s2am_ard_3-2-1_50HMG_2020-04-21_final.stac-item
2020-06-13 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-13_final
2020-06-23 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-23_final
2020-08-25 12:15:05	ga_s2am_ard_3-2-1_49JFM_2020-08-25_final
2020-11-27 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2020-11-27_final
2020-12-14 11:47:21	ga_s2am_ard_3-2-1_50HMG_2020-12-14_final.stac-item
2020-12-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2020-12-20_final
2021-02-08 12:04:41	ga_s2am_ard_3-2-1_49JHN_2021-02-08_final
2021-02-28 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-02-28_final.stac-item
2021-02-28 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-02-28_final
2021-03-10 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-03-10_final
2021-03-10 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-03-10_final
2021-03-13 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-03-13_final
2021-03-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2021-03-27_final
2021-04-26 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2021-04-26_final
2021-05-12 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-05-12_final
2021-06-01 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-01_final
2021-06-11 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-06-11_final
2021-07-11 12:14:24	ga_s2am_ard_3-2-1_49KHP_2021-07-11_final
2021-09-26 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-09-26_final.stac-item
2021-10-23 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2021-10-23_final
2021-10-23 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2021-10-23_final
2022-01-08 11:47:16	ga_s2am_ard_3-2-1_50HLH_2022-01-08_final
2022-04-04 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-04-04_final
2022-05-14 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-05-14_final.stac-item
2022-06-13 12:04:09	ga_s2am_ard_3-2-1_49KHR_2022-06-13_final
2022-09-21 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-09-21_final.stac-item
2022-09-24 12:15:17	ga_s2am_ard_3-2-1_49JGL_2022-09-24_final.stac-item
2022-10-21 12:03:46	ga_s2am_ard_3-2-1_49KHS_2022-10-21_final.stac-item
2022-11-14 11:47:17	ga_s2am_ard_3-2-1_50HLH_2022-11-14_final.stac-item
2022-12-30 12:03:43	ga_s2am_ard_3-2-1_49KHS_2022-12-30_final.stac-item
2023-02-08 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-02-08_final.stac-item
2023-02-25 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-02-25_final.stac-item
2023-06-21 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-06-21_final.stac-item
2023-08-27 12:04:05	ga_s2am_ard_3-2-1_49KHR_2023-08-27_final.stac-item
2023-10-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2023-10-09_final.stac-item
2023-11-15 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-15_final.stac-item
2023-11-28 12:14:34	ga_s2am_ard_3-2-1_49JGN_2023-11-28_final.stac-item
2023-12-19 11:47:06	ga_s2am_ard_3-2-1_50HMH_2023-12-19_final.stac-item
2024-02-10 11:57:02	ga_s2am_ard_3-2-1_50HMH_2024-02-10_final.stac-item
2024-02-13 12:03:42	ga_s2am_ard_3-2-1_49KHS_2024-02-13_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

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