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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMG_2015-12-21_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KGR_2015-12-30_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2016-05-08_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HLG_2016-05-09_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGK_2016-09-12_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HLJ_2016-11-18_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMJ_2016-12-05_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49JFM_2016-12-24_final
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGM_2016-12-24_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-31_final.stac-item
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_49JGM_2017-06-29_final
2017-08-21 12:13:36	ga_s2am_ard_3-2-1_49JGN_2017-08-21_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLH_2017-10-24_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGM_2017-11-09_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMG_2017-11-20_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGL_2017-11-26_final.stac-item
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMH_2017-12-10_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMH_2018-02-18_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HLJ_2018-02-21_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMJ_2018-03-13_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-03-29_final
2018-04-05 12:03:47	ga_s2am_ard_3-2-1_49KHR_2018-04-05_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-04-15_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGL_2018-05-08_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-06-14_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-06-17_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLK_2018-07-11_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HMG_2018-10-06_final.stac-item
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMG_2018-10-26_final.stac-item
2018-12-21 12:03:36	ga_s2am_ard_3-2-1_49KHS_2018-12-21_final.stac-item
2018-12-25 11:46:48	ga_s2am_ard_3-2-1_50HMJ_2018-12-25_final
2019-02-26 11:56:50	ga_s2am_ard_3-2-1_50HLJ_2019-02-26_final
2019-03-05 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-03-05_final
2019-04-30 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-04-30_final.stac-item
2019-05-24 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-05-24_final.stac-item
2019-06-12 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-12_final
2019-07-09 12:05:20	ga_s2am_ard_3-2-1_49JGL_2019-07-09_final
2019-10-24 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2019-10-24_final
2019-10-27 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-10-27_final
2019-10-30 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-10-30_final
2019-11-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-11-16_final
2019-12-10 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-12-10_final
2019-12-13 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-12-13_final
2020-02-04 12:03:51	ga_s2am_ard_3-2-1_49KHR_2020-02-04_final
2020-02-17 12:15:04	ga_s2am_ard_3-2-1_49JGL_2020-02-17_final
2020-03-02 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-02_final
2020-03-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-03-05_final
2020-04-28 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2020-04-28_final
2020-05-31 11:57:12	ga_s2am_ard_3-2-1_50HMH_2020-05-31_final
2020-06-16 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-06-16_final
2020-06-23 12:04:10	ga_s2am_ard_3-2-1_49KHR_2020-06-23_final
2020-08-05 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-08-05_final
2020-08-15 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-08-15_final
2020-08-16 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-08-16_final
2021-01-06 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-01-06_final
2021-03-07 11:57:09	ga_s2am_ard_3-2-1_50HLH_2021-03-07_final
2021-04-02 12:15:07	ga_s2am_ard_3-2-1_49JGL_2021-04-02_final
2021-04-03 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2021-04-03_final
2021-08-10 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-08-10_final
2021-08-17 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-08-17_final
2021-09-06 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-09-06_final
2021-09-16 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-09-16_final
2021-10-23 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-23_final
2021-12-18 12:14:46	ga_s2am_ard_3-2-1_49JFN_2021-12-18_final
2021-12-29 11:47:11	ga_s2am_ard_3-2-1_50HMH_2021-12-29_final
2022-01-04 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-04_final
2022-01-11 11:57:10	ga_s2am_ard_3-2-1_50HLH_2022-01-11_final
2022-01-24 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2022-01-24_final
2022-02-16 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-02-16_final
2022-03-02 11:57:13	ga_s2am_ard_3-2-1_50HLH_2022-03-02_final
2022-04-11 11:57:17	ga_s2am_ard_3-2-1_50HLH_2022-04-11_final
2022-09-24 12:14:02	ga_s2am_ard_3-2-1_49KHR_2022-09-24_final.stac-item
2022-10-04 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-10-04_final.stac-item
2022-10-28 11:56:43	ga_s2am_ard_3-2-1_50HLK_2022-10-28_final.stac-item
2022-11-10 12:04:03	ga_s2am_ard_3-2-1_49KHR_2022-11-10_final.stac-item
2022-11-30 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-11-30_final.stac-item
2022-12-27 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2022-12-27_final.stac-item
2023-02-05 11:56:35	ga_s2am_ard_3-2-1_50HMK_2023-02-05_final.stac-item
2023-02-12 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-12_final.stac-item
2023-02-22 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-02-22_final.stac-item
2023-03-04 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-03-04_final.stac-item
2023-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-05-12_final.stac-item
2023-06-01 12:14:02	ga_s2am_ard_3-2-1_49KGR_2023-06-01_final.stac-item
2023-07-08 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-07-08_final.stac-item
2023-07-11 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-07-11_final.stac-item
2023-08-10 12:15:04	ga_s2am_ard_3-2-1_49JFM_2023-08-10_final.stac-item
2023-08-30 12:15:16	ga_s2am_ard_3-2-1_49JGL_2023-08-30_final.stac-item
2023-09-30 11:47:12	ga_s2am_ard_3-2-1_50HMH_2023-09-30_final.stac-item
2023-10-13 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-10-13_final.stac-item
2023-12-12 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2023-12-12_final.stac-item
2023-12-15 12:03:55	ga_s2am_ard_3-2-1_49KHR_2023-12-15_final.stac-item
2024-01-14 12:03:53	ga_s2am_ard_3-2-1_49KHR_2024-01-14_final.stac-item
2024-01-21 11:57:01	ga_s2am_ard_3-2-1_50HLH_2024-01-21_final.stac-item
2024-01-24 12:05:08	ga_s2am_ard_3-2-1_49JGL_2024-01-24_final.stac-item
2024-02-07 11:47:06	ga_s2am_ard_3-2-1_50HMH_2024-02-07_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
2024-02-17 11:47:12	ga_s2am_ard_3-2-1_50HLH_2024-02-17_final.stac-item
2024-02-23 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-02-23_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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