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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JHM_2015-10-28_final.stac-item
2015-11-20 12:13:41	ga_s2am_ard_3-2-1_49KHR_2015-11-20_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JHN_2015-11-27_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49KHP_2016-01-16_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGN_2016-01-26_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGN_2016-02-05_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HMH_2016-05-29_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2016-08-26_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-10-12_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HLJ_2016-11-28_final.stac-item
2017-03-01 12:03:41	ga_s2am_ard_3-2-1_49KHQ_2017-03-01_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHQ_2017-03-14_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGJ_2017-03-31_final.stac-item
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGL_2017-06-12_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHQ_2017-09-17_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMH_2017-10-24_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGL_2017-10-27_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNJ_2018-01-19_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HMH_2018-03-30_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGK_2018-04-15_final.stac-item
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGL_2018-06-14_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KGR_2018-06-17_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JHM_2018-09-02_final
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KGR_2018-09-25_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-10-02_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-02_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLK_2018-10-09_final
2019-01-07 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-01-07_final
2019-01-23 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-01-23_final
2019-03-18 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2019-03-18_final
2019-04-10 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-04-10_final
2019-04-20 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-04-20_final
2019-05-03 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-05-03_final
2019-05-07 11:56:34	ga_s2am_ard_3-2-1_50HNK_2019-05-07_final
2019-06-12 12:14:30	ga_s2am_ard_3-2-1_49KGP_2019-06-12_final
2019-09-20 12:13:58	ga_s2am_ard_3-2-1_49KGR_2019-09-20_final
2019-09-20 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2019-09-20_final
2019-09-27 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-09-27_final
2019-09-30 12:14:58	ga_s2am_ard_3-2-1_49JGM_2019-09-30_final
2019-10-04 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-10-04_final
2019-10-17 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-17_final
2019-10-21 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-10-21_final
2019-10-24 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-10-24_final
2019-10-24 11:56:40	ga_s2am_ard_3-2-1_50HMK_2019-10-24_final
2019-12-30 11:47:01	ga_s2am_ard_3-2-1_50HNH_2019-12-30_final
2020-03-12 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2020-03-12_final
2020-04-04 12:04:24	ga_s2am_ard_3-2-1_49KHP_2020-04-04_final
2020-04-08 11:46:38	ga_s2am_ard_3-2-1_50HMK_2020-04-08_final
2020-04-11 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-04-11_final
2020-05-07 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-05-07_final
2020-05-07 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-05-07_final
2020-05-17 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-05-17_final
2020-05-27 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-05-27_final
2020-06-13 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-13_final
2020-06-23 12:04:10	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final
2020-09-08 11:56:44	ga_s2am_ard_3-2-1_50HLK_2020-09-08_final
2020-09-11 12:04:03	ga_s2am_ard_3-2-1_49KHR_2020-09-11_final
2021-01-03 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-03_final
2021-01-19 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-19_final.stac-item
2021-02-22 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-02-22_final
2021-02-25 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-02-25_final
2021-03-04 11:47:10	ga_s2am_ard_3-2-1_50HMH_2021-03-04_final
2021-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-03-27_final
2021-04-03 11:47:03	ga_s2am_ard_3-2-1_50HNH_2021-04-03_final
2021-04-22 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2021-04-22_final
2021-04-22 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2021-04-22_final
2021-05-02 12:14:57	ga_s2am_ard_3-2-1_49JFM_2021-05-02_final
2021-06-01 12:14:19	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final
2021-09-10 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-09-10_final
2021-09-23 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-09-23_final
2021-12-02 11:56:29	ga_s2am_ard_3-2-1_50HNK_2021-12-02_final
2021-12-12 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-12-12_final
2022-04-04 12:04:44	ga_s2am_ard_3-2-1_49JHN_2022-04-04_final
2022-06-20 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-06-20_final
2022-07-26 12:15:06	ga_s2am_ard_3-2-1_49JGM_2022-07-26_final
2022-09-01 12:05:41	ga_s2am_ard_3-2-1_49JGK_2022-09-01_final.stac-item
2022-09-11 12:05:25	ga_s2am_ard_3-2-1_49JGL_2022-09-11_final.stac-item
2022-10-14 12:15:01	ga_s2am_ard_3-2-1_49JGM_2022-10-14_final.stac-item
2023-01-06 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-01-06_final.stac-item
2023-01-16 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-01-16_final.stac-item
2023-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-12_final.stac-item
2023-02-25 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-02-25_final.stac-item
2023-03-04 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-03-04_final.stac-item
2023-04-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-04-13_final.stac-item
2023-09-19 12:14:30	ga_s2am_ard_3-2-1_49KGP_2023-09-19_final.stac-item
2023-11-02 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-11-02_final.stac-item
2023-11-12 11:56:39	ga_s2am_ard_3-2-1_50HLK_2023-11-12_final.stac-item
2023-12-09 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2023-12-09_final.stac-item
2023-12-12 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2023-12-12_final.stac-item
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_49KHS_2023-12-15_final.stac-item
2023-12-19 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-12-19_final.stac-item
2024-01-01 11:57:06	ga_s2am_ard_3-2-1_50HLH_2024-01-01_final.stac-item
2024-01-18 11:46:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-18_final.stac-item
2024-01-28 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2024-01-28_final.stac-item
2024-01-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2024-01-28_final.stac-item
2024-02-20 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2024-02-20_final.stac-item
2024-03-11 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-03-11_final.stac-item
2024-03-18 11:47:10	ga_s2am_ard_3-2-1_50HMH_2024-03-18_final.stac-item
2024-04-06 12:13:38	ga_s2am_ard_3-2-1_49KHS_2024-04-06_final.stac-item
2024-04-10 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2024-04-10_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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