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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JGM_2015-10-08_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49JGM_2015-10-21_final.stac-item
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JGM_2015-11-20_final.stac-item
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JGN_2015-11-20_final.stac-item
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGM_2015-11-30_final.stac-item
2015-12-27 12:04:06	ga_s2am_ard_3-2-1_49KHR_2015-12-27_final.stac-item
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-01-29_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49JGK_2016-02-15_final.stac-item
2016-04-08 12:14:44	ga_s2am_ard_3-2-1_49JFM_2016-04-08_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49JGL_2016-11-01_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMH_2016-11-28_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2016-12-11_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLJ_2016-12-28_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGJ_2016-12-31_final
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-06-22_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HLK_2017-07-06_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-07-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-11-09_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final.stac-item
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_49JGJ_2017-11-26_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGM_2017-12-06_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49KGR_2018-01-08_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-02-24_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-27_final
2018-11-04 12:13:17	ga_s2am_ard_3-2-1_49JGM_2018-11-04_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HMH_2018-11-05_final
2019-01-10 12:05:25	ga_s2am_ard_3-2-1_49JGK_2019-01-10_final
2019-01-20 12:05:26	ga_s2am_ard_3-2-1_49JGK_2019-01-20_final
2019-03-14 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-03-14_final
2019-04-23 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-04-23_final
2019-05-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-05-10_final.stac-item
2019-05-23 12:14:59	ga_s2am_ard_3-2-1_49JGM_2019-05-23_final
2019-11-29 12:15:10	ga_s2am_ard_3-2-1_49JGL_2019-11-29_final
2019-12-16 12:05:24	ga_s2am_ard_3-2-1_49JGK_2019-12-16_final
2019-12-19 12:14:50	ga_s2am_ard_3-2-1_49JGM_2019-12-19_final
2020-01-08 12:15:01	ga_s2am_ard_3-2-1_49JGL_2020-01-08_final
2020-01-28 12:14:49	ga_s2am_ard_3-2-1_49JGM_2020-01-28_final
2020-01-28 12:15:03	ga_s2am_ard_3-2-1_49JGL_2020-01-28_final
2020-02-11 11:57:02	ga_s2am_ard_3-2-1_50HLH_2020-02-11_final
2020-02-14 12:05:22	ga_s2am_ard_3-2-1_49JGK_2020-02-14_final
2020-03-25 12:03:55	ga_s2am_ard_3-2-1_49KHR_2020-03-25_final.stac-item
2020-05-21 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-21_final
2020-07-06 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-07-06_final
2020-09-21 12:05:20	ga_s2am_ard_3-2-1_49JGL_2020-09-21_final
2020-10-01 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-10-01_final
2020-11-03 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-11-03_final
2020-12-13 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2020-12-13_final
2021-03-03 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-03-03_final
2021-03-04 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-03-04_final
2021-07-11 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-07-11_final
2021-07-31 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-07-31_final
2021-08-31 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-08-31_final
2021-09-16 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-09-16_final
2021-10-19 12:15:16	ga_s2am_ard_3-2-1_49JGL_2021-10-19_final
2021-12-15 12:05:00	ga_s2am_ard_3-2-1_49JGM_2021-12-15_final
2021-12-18 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-12-18_final
2021-12-25 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-12-25_final
2022-01-27 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-01-27_final
2022-02-07 11:47:09	ga_s2am_ard_3-2-1_50HMH_2022-02-07_final
2022-02-16 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-02-16_final
2022-05-18 11:47:30	ga_s2am_ard_3-2-1_50HMG_2022-05-18_final.stac-item
2022-09-01 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-09-01_final.stac-item
2022-09-08 11:56:51	ga_s2am_ard_3-2-1_50HLK_2022-09-08_final.stac-item
2022-11-23 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-11-23_final.stac-item
2022-12-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-12-13_final.stac-item
2023-01-02 12:15:09	ga_s2am_ard_3-2-1_49JGL_2023-01-02_final.stac-item
2023-01-12 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-01-12_final.stac-item
2023-01-19 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2023-01-19_final.stac-item
2023-01-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2023-01-22_final.stac-item
2023-02-13 12:50:58	ga_s2am_ard_3-2-1_48LWP_2023-02-13_final.stac-item
2023-02-18 12:05:26	ga_s2am_ard_3-2-1_49JGK_2023-02-18_final.stac-item
2023-03-25 12:50:59	ga_s2am_ard_3-2-1_48LWP_2023-03-25_final.stac-item
2023-03-27 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-03-27_final.stac-item
2023-03-30 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-30_final.stac-item
2023-06-15 11:56:44	ga_s2am_ard_3-2-1_50HLK_2023-06-15_final.stac-item
2023-07-21 12:15:00	ga_s2am_ard_3-2-1_49JGM_2023-07-21_final.stac-item
2023-07-28 12:04:04	ga_s2am_ard_3-2-1_49KHR_2023-07-28_final.stac-item
2023-08-10 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-08-10_final.stac-item
2023-09-03 11:57:05	ga_s2am_ard_3-2-1_50HLJ_2023-09-03_final.stac-item
2023-09-06 12:05:06	ga_s2am_ard_3-2-1_49JGM_2023-09-06_final.stac-item
2023-09-19 12:14:33	ga_s2am_ard_3-2-1_49KFP_2023-09-19_nrt.stac-item
2023-10-16 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-10-16_final.stac-item
2023-11-02 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-11-02_final.stac-item
2023-11-08 12:15:10	ga_s2am_ard_3-2-1_49JGL_2023-11-08_final.stac-item
2023-11-18 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-11-18_final.stac-item
2023-11-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2023-11-28_final.stac-item
2023-12-02 11:56:47	ga_s2am_ard_3-2-1_50HLJ_2023-12-02_final.stac-item
2023-12-02 11:56:58	ga_s2am_ard_3-2-1_50HMH_2023-12-02_final.stac-item
2023-12-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2023-12-18_final.stac-item
2023-12-25 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-12-25_final.stac-item
2024-01-07 12:13:50	ga_s2am_ard_3-2-1_49KHR_2024-01-07_final.stac-item
2024-01-07 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2024-01-07_final.stac-item
2024-01-11 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2024-01-11_final.stac-item
2024-01-17 12:15:02	ga_s2am_ard_3-2-1_49JGL_2024-01-17_final.stac-item
2024-01-27 12:13:49	ga_s2am_ard_3-2-1_49KHR_2024-01-27_final.stac-item
2024-01-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2024-01-28_final.stac-item
2024-01-28 11:47:09	ga_s2am_ard_3-2-1_50HLH_2024-01-28_final.stac-item
2024-02-16 12:14:25	ga_s2am_ard_3-2-1_49KGP_2024-02-16_final.stac-item
2024-04-13 12:04:29	ga_s2am_ard_3-2-1_49KHP_2024-04-13_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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