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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGL_2015-12-17_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-02-18_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGP_2016-08-26_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-10-12_final.stac-item
2017-05-20 12:03:50	ga_s2am_ard_3-2-1_49KHS_2017-05-20_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JFM_2017-06-02_final
2017-07-22 12:14:43	ga_s2am_ard_3-2-1_49JGM_2017-07-22_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-09-07_final
2017-09-07 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-09-07_final
2017-12-06 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-06_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HLJ_2018-02-01_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGJ_2018-04-25_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLH_2018-08-20_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JFM_2018-09-25_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGM_2018-09-25_final
2018-10-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-10-12_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMG_2018-10-26_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-11-01_final
2018-11-11 12:03:54	ga_s2am_ard_3-2-1_49KHR_2018-11-11_final
2018-11-21 12:03:52	ga_s2am_ard_3-2-1_49KHR_2018-11-21_final
2018-12-18 11:56:46	ga_s2am_ard_3-2-1_50HLJ_2018-12-18_final
2019-02-19 12:03:55	ga_s2am_ard_3-2-1_49KHR_2019-02-19_final
2019-03-28 11:57:09	ga_s2am_ard_3-2-1_50HLH_2019-03-28_final
2019-05-04 11:47:28	ga_s2am_ard_3-2-1_50HMG_2019-05-04_final.stac-item
2019-05-10 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2019-05-10_final
2019-07-09 12:04:10	ga_s2am_ard_3-2-1_49KHR_2019-07-09_final
2019-09-27 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-09-27_final
2019-10-07 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-10-07_final
2019-10-17 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-10-17_final
2019-10-24 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-10-24_final
2019-11-06 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-11-06_final
2019-11-29 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2019-11-29_final
2019-12-10 11:47:11	ga_s2am_ard_3-2-1_50HLH_2019-12-10_final
2020-01-12 11:56:34	ga_s2am_ard_3-2-1_50HLK_2020-01-12_final
2020-02-11 11:56:33	ga_s2am_ard_3-2-1_50HLK_2020-02-11_final
2020-02-21 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2020-02-21_final
2020-06-23 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-06-23_final
2020-08-12 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-08-12_final
2020-08-22 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-22_final
2020-09-01 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-09-01_final
2020-10-11 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-10-11_final
2020-10-21 12:04:04	ga_s2am_ard_3-2-1_49KHR_2020-10-21_final
2020-10-28 11:57:14	ga_s2am_ard_3-2-1_50HLH_2020-10-28_final
2020-12-10 12:04:57	ga_s2am_ard_3-2-1_49JGM_2020-12-10_final
2020-12-30 12:05:29	ga_s2am_ard_3-2-1_49JGK_2020-12-30_final
2021-01-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-01-23_final
2021-01-26 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-01-26_final
2021-02-02 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-02-02_final.stac-item
2021-03-20 12:03:43	ga_s2am_ard_3-2-1_49KHS_2021-03-20_final.stac-item
2021-04-19 12:03:54	ga_s2am_ard_3-2-1_49KHR_2021-04-19_final
2021-04-26 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-04-26_final
2021-05-06 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2021-05-06_final
2021-05-22 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-05-22_final
2021-06-28 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-06-28_final
2021-07-25 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-25_final
2021-08-27 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-08-27_final
2021-09-06 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-09-06_final
2021-09-16 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2021-09-16_final
2021-10-03 11:57:25	ga_s2am_ard_3-2-1_50HMG_2021-10-03_final.stac-item
2021-10-29 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-29_final
2021-10-30 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-30_final.stac-item
2021-11-08 12:13:58	ga_s2am_ard_3-2-1_49KHR_2021-11-08_final
2021-11-08 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-11-08_final
2021-11-19 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-11-19_final.stac-item
2022-01-04 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-01-04_final
2022-04-14 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2022-04-14_final
2022-05-24 12:05:08	ga_s2am_ard_3-2-1_49JGM_2022-05-24_final
2022-06-20 11:56:52	ga_s2am_ard_3-2-1_50HLK_2022-06-20_final
2022-08-09 11:57:21	ga_s2am_ard_3-2-1_50HLH_2022-08-09_final
2022-09-11 12:04:10	ga_s2am_ard_3-2-1_49KHR_2022-09-11_final.stac-item
2022-10-31 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-10-31_final.stac-item
2022-12-03 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-12-03_final.stac-item
2023-01-16 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-01-16_final.stac-item
2023-02-21 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-02-21_final.stac-item
2023-03-07 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-03-07_final.stac-item
2023-03-23 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-03-23_final.stac-item
2023-03-27 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2023-03-27_final.stac-item
2023-04-22 12:14:58	ga_s2am_ard_3-2-1_49JFM_2023-04-22_final.stac-item
2023-04-26 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-26_final.stac-item
2023-05-06 11:57:06	ga_s2am_ard_3-2-1_50HMH_2023-05-06_final.stac-item
2023-06-15 11:57:17	ga_s2am_ard_3-2-1_50HLH_2023-06-15_final.stac-item
2023-09-06 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-09-06_final.stac-item
2023-09-19 12:14:59	ga_s2am_ard_3-2-1_49JGM_2023-09-19_final.stac-item
2023-09-30 11:47:26	ga_s2am_ard_3-2-1_50HMG_2023-09-30_final.stac-item
2023-10-13 11:57:18	ga_s2am_ard_3-2-1_50HMG_2023-10-13_final.stac-item
2023-11-19 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-11-19_final.stac-item
2023-11-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-11-22_final.stac-item
2023-11-28 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2023-11-28_final.stac-item
2023-12-28 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-12-28_final.stac-item
2024-01-21 11:57:12	ga_s2am_ard_3-2-1_50HMG_2024-01-21_final.stac-item
2024-01-24 12:03:38	ga_s2am_ard_3-2-1_49KHS_2024-01-24_final.stac-item
2024-02-13 12:03:56	ga_s2am_ard_3-2-1_49KHR_2024-02-13_final.stac-item
2024-02-20 11:57:18	ga_s2am_ard_3-2-1_50HMG_2024-02-20_final.stac-item
2024-02-23 12:04:38	ga_s2am_ard_3-2-1_49JHN_2024-02-23_final.stac-item
2024-03-04 12:05:30	ga_s2am_ard_3-2-1_49JGK_2024-03-04_final.stac-item
2024-04-03 12:04:40	ga_s2am_ard_3-2-1_49JHN_2024-04-03_final.stac-item
2024-04-07 11:47:23	ga_s2am_ard_3-2-1_50HMG_2024-04-07_final.stac-item
2024-04-17 11:47:27	ga_s2am_ard_3-2-1_50HMG_2024-04-17_final.stac-item
2024-05-20 11:57:07	ga_s2am_ard_3-2-1_50HMH_2024-05-20_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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