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
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49JGL_2015-11-30_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JGM_2015-12-07_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49JGK_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLH_2015-12-21_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_49JGL_2016-07-24_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-09-22_final.stac-item
2016-10-25 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-10-25_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HNH_2016-11-15_final.stac-item
2016-12-24 12:14:52	ga_s2am_ard_3-2-1_49JGM_2016-12-24_final
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JGM_2017-03-04_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HPJ_2017-05-24_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HNG_2017-06-13_final.stac-item
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMJ_2017-10-24_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGL_2018-01-05_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-02-17_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-02-17_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGJ_2018-04-15_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHP_2018-05-05_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HLJ_2018-06-11_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPH_2018-07-05_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHN_2018-08-23_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49JGM_2018-09-25_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50HLJ_2018-10-19_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HNH_2018-11-05_final
2019-01-04 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2019-01-04_final
2019-01-20 12:03:41	ga_s2am_ard_3-2-1_49KHS_2019-01-20_final.stac-item
2019-01-23 12:13:55	ga_s2am_ard_3-2-1_49KGR_2019-01-23_final
2019-02-02 12:14:24	ga_s2am_ard_3-2-1_49KGP_2019-02-02_final
2019-04-14 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-04-14_final
2019-04-14 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-04-14_final
2019-04-21 11:37:24	ga_s2am_ard_3-2-1_50HPG_2019-04-21_final.stac-item
2019-09-20 12:14:56	ga_s2am_ard_3-2-1_49JGM_2019-09-20_final
2019-12-29 12:14:51	ga_s2am_ard_3-2-1_49JGM_2019-12-29_final
2020-01-05 12:05:09	ga_s2am_ard_3-2-1_49JGL_2020-01-05_final
2020-01-05 12:05:24	ga_s2am_ard_3-2-1_49JGK_2020-01-05_final
2020-01-15 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-01-15_final.stac-item
2020-02-01 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2020-02-01_final
2020-06-16 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-06-16_final
2020-07-16 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-07-16_final
2020-08-02 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-02_final
2020-09-24 12:15:01	ga_s2am_ard_3-2-1_49JGM_2020-09-24_final
2020-10-08 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-10-08_final
2020-10-08 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-10-08_final
2020-10-28 11:56:35	ga_s2am_ard_3-2-1_50HNK_2020-10-28_final
2020-11-13 12:13:58	ga_s2am_ard_3-2-1_49KHR_2020-11-13_final
2020-11-13 12:15:14	ga_s2am_ard_3-2-1_49JGL_2020-11-13_final
2020-12-14 11:47:18	ga_s2am_ard_3-2-1_50HNG_2020-12-14_final.stac-item
2021-01-12 12:15:11	ga_s2am_ard_3-2-1_49JGL_2021-01-12_final
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-03-20_final
2021-03-31 11:37:04	ga_s2am_ard_3-2-1_50HPH_2021-03-31_final
2021-04-13 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2021-04-13_final
2021-04-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2021-04-23_final
2021-05-03 11:47:22	ga_s2am_ard_3-2-1_50HMG_2021-05-03_final.stac-item
2021-05-09 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-05-09_final
2021-06-11 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-06-11_final
2021-06-22 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-22_final
2021-06-25 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-06-25_final
2021-07-25 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-25_final
2021-08-20 12:14:44	ga_s2am_ard_3-2-1_49JGN_2021-08-20_final
2021-11-05 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2021-11-05_final
2021-11-25 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-11-25_final
2021-11-28 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-11-28_final
2021-12-08 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-12-08_final
2021-12-15 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-12-15_final
2021-12-25 12:05:31	ga_s2am_ard_3-2-1_49JGK_2021-12-25_final
2021-12-26 11:37:28	ga_s2am_ard_3-2-1_50HNG_2021-12-26_final.stac-item
2022-01-07 12:14:00	ga_s2am_ard_3-2-1_49KGR_2022-01-07_final
2022-01-17 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-01-17_final
2022-02-16 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-02-16_final
2022-03-18 12:14:16	ga_s2am_ard_3-2-1_49KGQ_2022-03-18_final
2022-05-04 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-05-04_final
2022-06-17 11:47:03	ga_s2am_ard_3-2-1_50HNJ_2022-06-17_final
2022-06-23 12:04:47	ga_s2am_ard_3-2-1_49KGP_2022-06-23_final
2022-09-15 11:46:47	ga_s2am_ard_3-2-1_50HNK_2022-09-15_final.stac-item
2022-09-15 11:46:50	ga_s2am_ard_3-2-1_50HMK_2022-09-15_final.stac-item
2022-09-25 13:21:45	ga_s2am_ard_3-2-1_47LKH_2022-09-25_interim.stac-item
2022-11-04 11:47:10	ga_s2am_ard_3-2-1_50HNH_2022-11-04_final.stac-item
2022-11-07 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2022-11-07_final.stac-item
2022-11-20 12:05:16	ga_s2am_ard_3-2-1_49JGL_2022-11-20_final.stac-item
2022-12-13 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-12-13_final.stac-item
2023-01-22 12:15:06	ga_s2am_ard_3-2-1_49JGL_2023-01-22_final.stac-item
2023-02-28 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-02-28_final.stac-item
2023-03-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-20_final.stac-item
2023-03-24 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-03-24_final.stac-item
2023-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-05-09_final.stac-item
2023-05-19 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-05-19_final.stac-item
2023-08-01 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-08-01_final.stac-item
2023-11-05 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-11-05_final.stac-item
2023-11-18 12:13:52	ga_s2am_ard_3-2-1_49KHR_2023-11-18_final.stac-item
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final.stac-item
2023-12-05 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2023-12-05_final.stac-item
2024-01-17 12:14:48	ga_s2am_ard_3-2-1_49JGM_2024-01-17_final.stac-item
2024-01-24 12:04:54	ga_s2am_ard_3-2-1_49JGM_2024-01-24_final.stac-item
2024-01-27 12:15:05	ga_s2am_ard_3-2-1_49JGL_2024-01-27_final.stac-item
2024-02-03 12:05:25	ga_s2am_ard_3-2-1_49JGK_2024-02-03_final.stac-item
2024-02-06 12:13:50	ga_s2am_ard_3-2-1_49KHR_2024-02-06_final.stac-item
2024-03-31 11:57:08	ga_s2am_ard_3-2-1_50HLH_2024-03-31_final.stac-item
2024-04-26 12:14:58	ga_s2am_ard_3-2-1_49JGM_2024-04-26_final.stac-item
2024-05-06 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2024-05-06_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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