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
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50HMK_2016-02-12_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-02-18_final.stac-item
2016-03-29 12:14:39	ga_s2am_ard_3-2-1_49JFM_2016-03-29_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-28_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HLH_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HMK_2016-06-18_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HNG_2016-07-08_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGQ_2016-08-06_final.stac-item
2016-08-13 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-08-13_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHR_2016-11-04_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_49JGM_2016-11-24_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-01-03_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HPG_2017-04-14_final.stac-item
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HLG_2017-05-17_final.stac-item
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HMK_2017-06-26_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KGP_2017-07-12_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLG_2017-10-24_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HPG_2017-12-30_final.stac-item
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGN_2018-01-18_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KGP_2018-02-27_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-02-27_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-02-27_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JFM_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGN_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGP_2018-03-09_final
2018-05-16 11:33:00	ga_s2am_ard_3-2-1_50HPG_2018-05-16_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMH_2018-05-19_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HNG_2018-06-08_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HLH_2018-06-21_final
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HNG_2018-06-25_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HMJ_2018-07-01_final
2018-12-04 12:13:46	ga_s2am_ard_3-2-1_49KHR_2018-12-04_final
2018-12-24 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2018-12-24_final
2018-12-24 12:14:19	ga_s2am_ard_3-2-1_49KGP_2018-12-24_final
2019-03-08 11:56:24	ga_s2am_ard_3-2-1_50HNK_2019-03-08_final
2019-03-15 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-03-15_final.stac-item
2019-05-14 11:47:21	ga_s2am_ard_3-2-1_50HPG_2019-05-14_final.stac-item
2019-06-03 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-06-03_final
2019-06-03 11:47:26	ga_s2am_ard_3-2-1_50HMG_2019-06-03_final.stac-item
2019-06-16 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2019-06-16_final
2019-07-12 12:13:45	ga_s2am_ard_3-2-1_49KHS_2019-07-12_final.stac-item
2019-07-16 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2019-07-16_final
2019-08-12 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-08-12_final.stac-item
2019-08-15 11:56:40	ga_s2am_ard_3-2-1_50HMK_2019-08-15_final
2019-08-18 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-08-18_final.stac-item
2019-08-18 12:04:49	ga_s2am_ard_3-2-1_49JGN_2019-08-18_final
2019-08-19 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-08-19_final
2019-08-22 11:47:16	ga_s2am_ard_3-2-1_50HLH_2019-08-22_final
2019-08-28 12:04:32	ga_s2am_ard_3-2-1_49KGP_2019-08-28_final
2019-10-08 11:37:23	ga_s2am_ard_3-2-1_50HPG_2019-10-08_final.stac-item
2019-11-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-11-16_final
2019-11-23 11:57:21	ga_s2am_ard_3-2-1_50HMG_2019-11-23_final.stac-item
2019-12-10 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-12-10_final.stac-item
2019-12-16 12:04:26	ga_s2am_ard_3-2-1_49KGP_2019-12-16_final
2019-12-26 12:04:22	ga_s2am_ard_3-2-1_49KHP_2019-12-26_final
2020-01-08 12:15:01	ga_s2am_ard_3-2-1_49JGL_2020-01-08_final
2020-02-15 11:37:20	ga_s2am_ard_3-2-1_50HNG_2020-02-15_final.stac-item
2020-03-16 11:37:03	ga_s2am_ard_3-2-1_50HPH_2020-03-16_final
2020-03-22 11:57:17	ga_s2am_ard_3-2-1_50HMG_2020-03-22_final.stac-item
2020-06-27 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-06-27_final
2020-06-27 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-06-27_final.stac-item
2020-07-06 12:13:44	ga_s2am_ard_3-2-1_49KHS_2020-07-06_final.stac-item
2020-07-07 11:47:14	ga_s2am_ard_3-2-1_50HMH_2020-07-07_final
2020-07-27 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-07-27_final
2020-08-12 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-08-12_final
2020-08-26 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-08-26_final
2020-08-26 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-08-26_final
2020-11-10 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2020-11-10_final
2020-11-20 12:03:47	ga_s2am_ard_3-2-1_49KHS_2020-11-20_final.stac-item
2020-12-20 12:04:30	ga_s2am_ard_3-2-1_49KGP_2020-12-20_final
2020-12-30 12:04:28	ga_s2am_ard_3-2-1_49KHP_2020-12-30_final
2021-01-02 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-01-02_final
2021-01-09 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-09_final
2021-01-23 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-01-23_final.stac-item
2021-03-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-03-10_final
2021-05-16 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-05-16_final
2021-05-26 11:57:14	ga_s2am_ard_3-2-1_50HLH_2021-05-26_final
2021-07-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-08_final
2021-07-29 11:37:30	ga_s2am_ard_3-2-1_50HNG_2021-07-29_final.stac-item
2021-08-14 11:56:39	ga_s2am_ard_3-2-1_50HMK_2021-08-14_final
2021-10-26 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-26_final.stac-item
2021-12-15 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-12-15_final
2021-12-29 11:47:26	ga_s2am_ard_3-2-1_50HMG_2021-12-29_final.stac-item
2022-04-04 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-04-04_final
2022-05-14 12:04:39	ga_s2am_ard_3-2-1_49KGP_2022-05-14_final
2022-08-05 12:14:52	ga_s2am_ard_3-2-1_49JGN_2022-08-05_final
2022-10-11 12:04:38	ga_s2am_ard_3-2-1_49JHN_2022-10-11_final.stac-item
2022-11-14 11:47:24	ga_s2am_ard_3-2-1_50HNG_2022-11-14_final.stac-item
2022-11-30 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2022-11-30_final.stac-item
2023-01-09 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-01-09_final.stac-item
2023-01-20 11:37:21	ga_s2am_ard_3-2-1_50HNG_2023-01-20_final.stac-item
2023-01-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2023-01-22_final.stac-item
2023-01-29 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2023-01-29_final.stac-item
2023-03-07 11:57:16	ga_s2am_ard_3-2-1_50HMG_2023-03-07_final.stac-item
2023-04-13 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2023-04-13_final.stac-item
2023-07-01 12:14:46	ga_s2am_ard_3-2-1_49JGN_2023-07-01_final.stac-item
2023-07-22 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2023-07-22_final.stac-item
2023-11-08 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-11-08_final.stac-item
2024-02-14 11:37:18	ga_s2am_ard_3-2-1_50HPG_2024-02-14_final.stac-item
2024-03-14 12:05:00	ga_s2am_ard_3-2-1_49JGM_2024-03-14_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

All years