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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JGM_2015-10-08_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGL_2016-02-08_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNG_2016-03-20_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49JGK_2016-04-15_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HLH_2016-04-29_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGL_2016-06-14_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMK_2016-07-08_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLH_2016-10-29_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HNG_2016-11-12_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGJ_2016-12-21_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JGK_2016-12-31_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50HMJ_2017-01-07_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMH_2017-01-14_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HMJ_2017-01-24_final
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_50HMJ_2017-02-03_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50HLH_2017-02-16_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50HMJ_2017-05-04_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49JGL_2017-08-01_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_49JGL_2017-08-28_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-10-10_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGM_2017-11-19_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGM_2017-11-29_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLJ_2017-12-03_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HMH_2018-02-08_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-14_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50HMJ_2018-02-21_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-04-08_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMG_2018-06-01_final.stac-item
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-09-12_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-10-05_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_49JGL_2018-10-22_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMJ_2018-10-26_final
2018-11-18 11:56:30	ga_s2am_ard_3-2-1_50HMK_2018-11-18_final
2018-11-24 12:14:48	ga_s2am_ard_3-2-1_49JGM_2018-11-24_final
2018-12-25 11:47:02	ga_s2am_ard_3-2-1_50HMH_2018-12-25_final
2018-12-25 11:47:17	ga_s2am_ard_3-2-1_50HMG_2018-12-25_final.stac-item
2018-12-28 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2018-12-28_final
2018-12-31 12:03:53	ga_s2am_ard_3-2-1_49KHR_2018-12-31_final
2019-05-04 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2019-05-04_final
2019-08-31 12:14:57	ga_s2am_ard_3-2-1_49JGM_2019-08-31_final
2019-09-27 12:05:45	ga_s2am_ard_3-2-1_49JGJ_2019-09-27_final
2019-11-06 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-11-06_final
2019-11-13 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2019-11-13_final
2019-11-19 12:15:12	ga_s2am_ard_3-2-1_49JGL_2019-11-19_final
2019-11-26 12:03:59	ga_s2am_ard_3-2-1_49KHR_2019-11-26_final
2019-12-20 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2019-12-20_final
2020-01-09 11:47:04	ga_s2am_ard_3-2-1_50HMH_2020-01-09_final
2020-01-12 11:57:03	ga_s2am_ard_3-2-1_50HLH_2020-01-12_final
2020-01-25 12:03:38	ga_s2am_ard_3-2-1_49KHS_2020-01-25_final.stac-item
2020-02-17 12:14:50	ga_s2am_ard_3-2-1_49JGM_2020-02-17_final
2020-06-06 12:15:02	ga_s2am_ard_3-2-1_49JGM_2020-06-06_final
2020-06-10 11:57:01	ga_s2am_ard_3-2-1_50HLJ_2020-06-10_final
2020-08-22 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-22_final
2020-09-04 12:14:03	ga_s2am_ard_3-2-1_49KGR_2020-09-04_final
2020-09-14 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-09-14_final
2020-10-28 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2020-10-28_final
2020-11-23 12:15:01	ga_s2am_ard_3-2-1_49JFM_2020-11-23_final
2020-11-24 11:47:26	ga_s2am_ard_3-2-1_50HMG_2020-11-24_final.stac-item
2020-12-17 11:56:38	ga_s2am_ard_3-2-1_50HLK_2020-12-17_final
2021-02-28 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-02-28_final
2021-05-23 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-05-23_final.stac-item
2021-06-01 12:14:57	ga_s2am_ard_3-2-1_49JGM_2021-06-01_final
2021-06-11 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-06-11_final
2021-06-28 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-06-28_final
2021-07-18 12:04:02	ga_s2am_ard_3-2-1_49KHR_2021-07-18_final
2021-09-06 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-09-06_final
2021-10-03 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-10-03_final
2021-10-09 12:15:01	ga_s2am_ard_3-2-1_49JGM_2021-10-09_final
2021-11-05 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-11-05_final
2021-12-22 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-12-22_final
2021-12-25 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-12-25_final
2022-02-03 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-02-03_final
2022-09-28 11:56:58	ga_s2am_ard_3-2-1_50HMJ_2022-09-28_final.stac-item
2022-10-18 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2022-10-18_final.stac-item
2022-10-18 11:57:12	ga_s2am_ard_3-2-1_50HLH_2022-10-18_final.stac-item
2022-10-31 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-10-31_final.stac-item
2022-11-23 12:15:10	ga_s2am_ard_3-2-1_49JGL_2022-11-23_final.stac-item
2022-11-24 11:46:40	ga_s2am_ard_3-2-1_50HMK_2022-11-24_final.stac-item
2022-11-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-11-30_final.stac-item
2022-12-07 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2022-12-07_final.stac-item
2022-12-13 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-12-13_final.stac-item
2022-12-14 11:47:14	ga_s2am_ard_3-2-1_50HLH_2022-12-14_final.stac-item
2022-12-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-12-17_final.stac-item
2022-12-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2022-12-24_final.stac-item
2022-12-30 12:05:14	ga_s2am_ard_3-2-1_49JGL_2022-12-30_final.stac-item
2023-03-27 11:56:38	ga_s2am_ard_3-2-1_50HLK_2023-03-27_final.stac-item
2023-04-02 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2023-04-02_final.stac-item
2023-05-06 11:57:20	ga_s2am_ard_3-2-1_50HMG_2023-05-06_final.stac-item
2023-08-24 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2023-08-24_final.stac-item
2023-10-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-10-26_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 11:57:02	ga_s2am_ard_3-2-1_50HMH_2023-11-22_final.stac-item
2023-12-15 12:05:11	ga_s2am_ard_3-2-1_49JGL_2023-12-15_final.stac-item
2024-01-01 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-01_final.stac-item
2024-01-27 12:13:49	ga_s2am_ard_3-2-1_49KHR_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 12:15:06	ga_s2am_ard_3-2-1_49JGL_2024-02-06_final.stac-item
2024-02-20 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2024-02-20_final.stac-item
2024-03-07 12:13:59	ga_s2am_ard_3-2-1_49KGR_2024-03-07_final.stac-item
2024-03-24 12:04:47	ga_s2am_ard_3-2-1_49JGN_2024-03-24_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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