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
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_50HPG_2015-12-08_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49JGM_2016-01-09_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-01-29_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JGL_2016-04-08_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMH_2016-06-11_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50HNG_2016-07-28_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JHN_2016-11-11_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHR_2016-11-14_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGN_2016-11-21_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMG_2016-11-28_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-31_final
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HMH_2017-06-26_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JHN_2017-07-12_final
2017-08-08 12:03:49	ga_s2am_ard_3-2-1_49KHR_2017-08-08_final
2017-08-11 12:13:45	ga_s2am_ard_3-2-1_49KHR_2017-08-11_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HMH_2017-08-25_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49JGL_2017-09-27_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JHN_2017-11-06_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JFM_2017-11-09_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-02-17_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-27_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JHN_2018-04-25_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HNG_2018-04-26_final.stac-item
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMG_2018-05-29_final.stac-item
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMJ_2018-06-01_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHR_2018-08-03_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_49KHP_2018-08-13_final
2018-08-16 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-16_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLG_2018-08-20_final.stac-item
2018-11-14 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final
2018-12-05 11:47:08	ga_s2am_ard_3-2-1_50HPG_2018-12-05_final.stac-item
2018-12-14 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-14_final
2019-02-09 12:04:57	ga_s2am_ard_3-2-1_49JGM_2019-02-09_final
2019-03-01 12:04:41	ga_s2am_ard_3-2-1_49JGN_2019-03-01_final
2019-04-27 11:57:27	ga_s2am_ard_3-2-1_50HLG_2019-04-27_final.stac-item
2019-05-27 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-05-27_final
2019-07-03 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2019-07-03_final
2019-07-03 11:47:26	ga_s2am_ard_3-2-1_50HNG_2019-07-03_final.stac-item
2019-08-02 11:46:45	ga_s2am_ard_3-2-1_50HMK_2019-08-02_final
2019-08-12 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-08-12_final
2019-08-18 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-08-18_final
2019-11-20 11:47:29	ga_s2am_ard_3-2-1_50HLG_2019-11-20_final.stac-item
2020-03-02 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-02_final.stac-item
2020-03-09 11:46:33	ga_s2am_ard_3-2-1_50HNK_2020-03-09_final
2020-03-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-18_final
2020-04-21 11:56:37	ga_s2am_ard_3-2-1_50HMK_2020-04-21_final
2020-05-21 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-05-21_final
2020-06-07 11:47:24	ga_s2am_ard_3-2-1_50HNG_2020-06-07_final.stac-item
2020-07-10 11:56:40	ga_s2am_ard_3-2-1_50HMK_2020-07-10_final
2020-07-10 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2020-07-10_final
2020-07-20 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-07-20_final
2020-08-12 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-08-12_final
2020-08-23 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-08-23_final
2020-11-24 11:47:26	ga_s2am_ard_3-2-1_50HMG_2020-11-24_final.stac-item
2020-12-20 12:04:26	ga_s2am_ard_3-2-1_49KHP_2020-12-20_final
2020-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2020-12-21_final
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-03-10_final.stac-item
2021-03-14 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-03-14_final.stac-item
2021-03-31 11:37:04	ga_s2am_ard_3-2-1_50HPH_2021-03-31_final
2021-04-23 11:46:58	ga_s2am_ard_3-2-1_50HPH_2021-04-23_final
2021-05-23 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-05-23_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final
2021-08-17 12:05:19	ga_s2am_ard_3-2-1_49JGL_2021-08-17_final
2021-08-27 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-08-27_final
2021-10-07 11:37:17	ga_s2am_ard_3-2-1_50HPG_2021-10-07_final.stac-item
2021-11-22 11:57:23	ga_s2am_ard_3-2-1_50HLG_2021-11-22_final.stac-item
2021-11-25 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-11-25_final
2022-01-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2022-01-18_final.stac-item
2022-02-23 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2022-02-23_final
2022-03-06 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-03-06_final
2022-05-04 12:04:51	ga_s2am_ard_3-2-1_49JGN_2022-05-04_final
2022-06-13 12:04:28	ga_s2am_ard_3-2-1_49KGQ_2022-06-13_final
2022-06-14 11:37:37	ga_s2am_ard_3-2-1_50HNG_2022-06-14_final.stac-item
2022-06-30 11:56:49	ga_s2am_ard_3-2-1_50HMK_2022-06-30_final
2022-07-04 11:37:20	ga_s2am_ard_3-2-1_50HPH_2022-07-04_final
2022-10-11 12:05:06	ga_s2am_ard_3-2-1_49JGM_2022-10-11_final.stac-item
2022-11-10 12:04:50	ga_s2am_ard_3-2-1_49JGN_2022-11-10_final.stac-item
2022-12-13 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-12-13_final.stac-item
2022-12-23 12:14:39	ga_s2am_ard_3-2-1_49JGN_2022-12-23_final.stac-item
2022-12-24 11:47:22	ga_s2am_ard_3-2-1_50HMG_2022-12-24_final.stac-item
2022-12-30 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-30_final.stac-item
2023-02-08 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-02-08_final.stac-item
2023-02-19 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-02-19_final.stac-item
2023-02-28 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2023-02-28_final.stac-item
2023-02-28 12:04:32	ga_s2am_ard_3-2-1_49KGP_2023-02-28_final.stac-item
2023-03-04 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-04_final.stac-item
2023-03-20 12:04:27	ga_s2am_ard_3-2-1_49KGP_2023-03-20_final.stac-item
2023-04-23 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-04-23_final.stac-item
2023-06-11 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-06-11_final.stac-item
2023-07-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-07-02_final.stac-item
2023-07-09 11:37:31	ga_s2am_ard_3-2-1_50HNG_2023-07-09_final.stac-item
2023-11-05 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-05_final.stac-item
2023-11-09 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-11-09_final.stac-item
2023-11-15 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-15_final.stac-item
2023-11-25 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-11-25_final.stac-item
2024-01-31 11:57:18	ga_s2am_ard_3-2-1_50HLG_2024-01-31_final.stac-item
2024-02-06 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2024-02-06_final.stac-item
2024-03-11 11:57:22	ga_s2am_ard_3-2-1_50HLG_2024-03-11_final.stac-item
2024-03-14 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2024-03-14_final.stac-item
2024-03-14 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2024-03-14_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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