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
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HLH_2016-06-11_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLH_2016-07-01_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-11_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2016-11-21_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHR_2016-12-11_final
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HNG_2016-12-22_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGN_2017-02-12_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-02-12_final
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHP_2017-02-19_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMJ_2017-10-24_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JGM_2017-12-29_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGL_2018-01-28_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMJ_2018-04-12_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNG_2018-06-18_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-07-24_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HLJ_2018-07-31_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-08-03_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JGN_2018-10-12_final
2018-10-25 12:14:37	ga_s2am_ard_3-2-1_49JGM_2018-10-25_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMJ_2018-10-26_final
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final
2018-12-08 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-08_final
2019-02-02 12:14:24	ga_s2am_ard_3-2-1_49KGP_2019-02-02_final
2019-02-19 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2019-02-19_final
2019-03-14 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-03-14_final
2019-03-21 12:03:42	ga_s2am_ard_3-2-1_49KHS_2019-03-21_final.stac-item
2019-05-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-04_final
2019-05-04 11:47:18	ga_s2am_ard_3-2-1_50HLH_2019-05-04_final
2019-05-10 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-05-10_final
2019-07-09 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2019-07-09_final.stac-item
2019-09-04 11:56:40	ga_s2am_ard_3-2-1_50HLK_2019-09-04_final
2019-09-10 12:13:57	ga_s2am_ard_3-2-1_49KGR_2019-09-10_final
2019-10-30 12:15:00	ga_s2am_ard_3-2-1_49JFM_2019-10-30_final
2019-11-20 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-11-20_final
2019-12-19 12:15:04	ga_s2am_ard_3-2-1_49JGL_2019-12-19_final
2019-12-30 11:47:15	ga_s2am_ard_3-2-1_50HNG_2019-12-30_final.stac-item
2019-12-30 11:47:21	ga_s2am_ard_3-2-1_50HLG_2019-12-30_final.stac-item
2020-01-12 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-01-12_final
2020-01-25 12:03:52	ga_s2am_ard_3-2-1_49KHR_2020-01-25_final
2020-02-11 11:56:47	ga_s2am_ard_3-2-1_50HLJ_2020-02-11_final
2020-03-09 11:47:17	ga_s2am_ard_3-2-1_50HNG_2020-03-09_final.stac-item
2020-04-14 12:04:30	ga_s2am_ard_3-2-1_49KGP_2020-04-14_final
2020-05-08 11:47:30	ga_s2am_ard_3-2-1_50HNG_2020-05-08_final.stac-item
2020-05-21 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-21_final
2020-06-03 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-06-03_final
2020-06-10 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-10_final
2020-06-17 11:47:27	ga_s2am_ard_3-2-1_50HNG_2020-06-17_final.stac-item
2020-11-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2020-11-30_final
2020-12-07 11:57:07	ga_s2am_ard_3-2-1_50HLH_2020-12-07_final
2020-12-11 11:37:23	ga_s2am_ard_3-2-1_50HNG_2020-12-11_final.stac-item
2020-12-17 11:57:07	ga_s2am_ard_3-2-1_50HLH_2020-12-17_final
2021-01-03 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-01-03_final
2021-01-09 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2021-01-09_final
2021-02-05 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-05_final
2021-02-08 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-08_final
2021-02-18 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-02-18_final
2021-03-23 12:15:18	ga_s2am_ard_3-2-1_49JGK_2021-03-23_final
2021-04-16 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2021-04-16_final
2021-05-02 12:14:54	ga_s2am_ard_3-2-1_49JGM_2021-05-02_final
2021-05-26 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-05-26_final.stac-item
2021-06-21 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-21_final
2021-07-02 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-07-02_final.stac-item
2021-07-12 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-07-12_final.stac-item
2021-07-28 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-07-28_final
2021-07-31 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-31_final
2021-08-17 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-08-17_final
2021-08-31 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-08-31_final.stac-item
2021-10-26 12:04:36	ga_s2am_ard_3-2-1_49KGP_2021-10-26_final
2021-11-05 12:05:33	ga_s2am_ard_3-2-1_49JGK_2021-11-05_final
2021-12-02 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-12-02_final
2022-01-24 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-01-24_final
2022-02-20 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-02-20_final
2022-03-05 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-03-05_final
2022-05-14 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-05-14_final
2022-08-02 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-08-02_final
2022-09-04 12:14:10	ga_s2am_ard_3-2-1_49KGR_2022-09-04_final.stac-item
2022-09-04 12:14:25	ga_s2am_ard_3-2-1_49KGQ_2022-09-04_final.stac-item
2022-10-21 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-10-21_final.stac-item
2022-10-21 12:05:31	ga_s2am_ard_3-2-1_49JGK_2022-10-21_final.stac-item
2022-12-30 12:03:58	ga_s2am_ard_3-2-1_49KHR_2022-12-30_final.stac-item
2023-01-29 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-01-29_final.stac-item
2023-02-12 11:47:19	ga_s2am_ard_3-2-1_50HNG_2023-02-12_final.stac-item
2023-04-09 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-04-09_final.stac-item
2023-05-09 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-05-09_final.stac-item
2023-05-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-05-13_final.stac-item
2023-05-29 12:05:18	ga_s2am_ard_3-2-1_49JGL_2023-05-29_final.stac-item
2023-06-22 11:47:10	ga_s2am_ard_3-2-1_50HNH_2023-06-22_final.stac-item
2023-09-03 11:57:03	ga_s2am_ard_3-2-1_50HMJ_2023-09-03_final.stac-item
2023-10-03 11:57:08	ga_s2am_ard_3-2-1_50HMH_2023-10-03_final.stac-item
2023-10-03 11:57:11	ga_s2am_ard_3-2-1_50HLH_2023-10-03_final.stac-item
2023-10-09 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-10-09_final.stac-item
2023-11-29 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2023-11-29_final.stac-item
2023-12-02 11:57:01	ga_s2am_ard_3-2-1_50HLH_2023-12-02_final.stac-item
2023-12-05 12:03:52	ga_s2am_ard_3-2-1_49KHR_2023-12-05_final.stac-item
2023-12-25 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-12-25_final.stac-item
2024-01-08 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-01-08_final.stac-item
2024-01-14 12:03:53	ga_s2am_ard_3-2-1_49KHR_2024-01-14_final.stac-item
2024-02-23 12:05:27	ga_s2am_ard_3-2-1_49JGK_2024-02-23_final.stac-item
2024-03-04 12:04:28	ga_s2am_ard_3-2-1_49KHP_2024-03-04_final.stac-item
2024-04-23 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2024-04-23_nrt.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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