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
2016-01-29 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-01-29_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50HLJ_2016-05-22_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HLH_2016-06-18_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-10-22_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49JFM_2016-11-04_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KGR_2016-12-04_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHR_2016-12-04_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49JHN_2016-12-31_final
2017-03-04 12:13:36	ga_s2am_ard_3-2-1_49KHR_2017-03-04_final
2017-03-04 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-03-04_final
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HLG_2017-05-17_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49KHS_2017-06-22_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMK_2017-07-03_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-07-09_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KGQ_2017-07-09_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JHN_2017-07-12_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGN_2017-11-06_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HMG_2017-11-20_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JHN_2018-01-05_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_49KGQ_2018-01-25_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49JGL_2018-01-28_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KGP_2018-01-28_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KGR_2018-01-28_final
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49JFM_2018-02-17_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-02-27_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HNG_2018-04-26_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HNG_2018-04-29_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50HMK_2018-05-22_final
2018-05-29 11:44:48	ga_s2am_ard_3-2-1_50HMK_2018-05-29_final
2018-06-14 12:02:48	ga_s2am_ard_3-2-1_49KHS_2018-06-14_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNH_2018-06-28_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNJ_2018-06-28_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HMJ_2018-07-01_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49KGP_2018-07-04_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HMJ_2018-07-11_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGM_2018-08-06_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_49KHS_2018-08-13_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-10-15_final.stac-item
2018-11-14 12:14:25	ga_s2am_ard_3-2-1_49KGP_2018-11-14_final
2018-11-15 11:47:15	ga_s2am_ard_3-2-1_50HNG_2018-11-15_final.stac-item
2019-01-21 11:37:17	ga_s2am_ard_3-2-1_50HPG_2019-01-21_final.stac-item
2019-02-13 11:47:17	ga_s2am_ard_3-2-1_50HNG_2019-02-13_final.stac-item
2019-02-13 11:47:21	ga_s2am_ard_3-2-1_50HMG_2019-02-13_final.stac-item
2019-06-23 11:47:21	ga_s2am_ard_3-2-1_50HPG_2019-06-23_final.stac-item
2019-08-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2019-08-02_final
2019-08-08 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2019-08-08_final
2019-08-15 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-08-15_final
2019-08-22 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-08-22_final
2019-09-07 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-09-07_final.stac-item
2019-10-08 11:37:29	ga_s2am_ard_3-2-1_50HNG_2019-10-08_final.stac-item
2019-11-16 12:04:01	ga_s2am_ard_3-2-1_49KHR_2019-11-16_final
2019-11-16 12:04:30	ga_s2am_ard_3-2-1_49KHP_2019-11-16_final
2019-11-16 12:05:31	ga_s2am_ard_3-2-1_49JGK_2019-11-16_final
2019-11-19 12:13:59	ga_s2am_ard_3-2-1_49KGR_2019-11-19_final
2019-12-16 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-12-16_final
2019-12-26 12:04:55	ga_s2am_ard_3-2-1_49JGM_2019-12-26_final
2020-01-05 12:05:24	ga_s2am_ard_3-2-1_49JGK_2020-01-05_final
2020-01-08 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-01-08_final
2020-01-19 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-01-19_final.stac-item
2020-02-14 12:04:11	ga_s2am_ard_3-2-1_49KGQ_2020-02-14_final
2020-04-15 11:37:20	ga_s2am_ard_3-2-1_50HPG_2020-04-15_final.stac-item
2020-05-21 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-05-21_final
2020-07-10 11:56:40	ga_s2am_ard_3-2-1_50HMK_2020-07-10_final
2020-07-17 11:47:11	ga_s2am_ard_3-2-1_50HNH_2020-07-17_final
2020-07-20 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-20_final
2020-08-06 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-08-06_final
2020-08-12 12:04:05	ga_s2am_ard_3-2-1_49KHR_2020-08-12_final
2020-08-12 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-08-12_final
2020-08-25 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-08-25_final
2020-08-25 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-08-25_final
2020-09-25 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-09-25_final.stac-item
2020-11-20 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2020-11-20_final
2020-11-23 12:15:01	ga_s2am_ard_3-2-1_49JFM_2020-11-23_final
2020-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2020-12-20_final
2020-12-23 12:13:57	ga_s2am_ard_3-2-1_49KGR_2020-12-23_final
2021-02-21 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-02-21_final
2021-02-21 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-02-21_final
2021-03-03 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-03-03_final
2021-03-17 11:57:19	ga_s2am_ard_3-2-1_50HMG_2021-03-17_final.stac-item
2021-05-26 11:57:05	ga_s2am_ard_3-2-1_50HMH_2021-05-26_final
2021-07-18 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-07-18_final.stac-item
2021-08-01 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2021-08-01_final
2021-08-11 11:47:23	ga_s2am_ard_3-2-1_50HNG_2021-08-11_final.stac-item
2021-09-16 12:03:46	ga_s2am_ard_3-2-1_49KHS_2021-09-16_final.stac-item
2021-10-19 12:15:16	ga_s2am_ard_3-2-1_49JGL_2021-10-19_final
2021-11-19 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-11-19_final
2021-12-12 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-12-12_final.stac-item
2021-12-19 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-12-19_final.stac-item
2021-12-22 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-12-22_final.stac-item
2022-02-20 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-02-20_final.stac-item
2022-12-07 11:57:21	ga_s2am_ard_3-2-1_50HMG_2022-12-07_final.stac-item
2023-03-04 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-03-04_final.stac-item
2023-06-09 11:37:30	ga_s2am_ard_3-2-1_50HNG_2023-06-09_final.stac-item
2023-06-29 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-06-29_final.stac-item
2023-07-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-07-02_final.stac-item
2024-02-07 11:47:20	ga_s2am_ard_3-2-1_50HMG_2024-02-07_final.stac-item
2024-02-17 11:47:24	ga_s2am_ard_3-2-1_50HLG_2024-02-17_final.stac-item
2024-02-26 12:13:53	ga_s2am_ard_3-2-1_49KHR_2024-02-26_final.stac-item
2024-02-26 12:14:55	ga_s2am_ard_3-2-1_49JGM_2024-02-26_final.stac-item
2024-04-04 11:37:24	ga_s2am_ard_3-2-1_50HNG_2024-04-04_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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