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
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50HLK_2015-12-24_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLK_2016-01-03_final.stac-item
2016-03-29 12:14:39	ga_s2am_ard_3-2-1_49JFM_2016-03-29_final.stac-item
2016-04-25 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-04-25_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JGN_2016-06-14_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49JFM_2016-06-27_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KGQ_2016-11-04_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HPG_2016-11-12_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50HMK_2016-11-18_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49KHS_2016-12-21_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JHM_2016-12-21_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2016-12-24_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_49KGQ_2016-12-31_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HPG_2017-01-24_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49JHN_2017-03-11_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KGQ_2017-04-20_final.stac-item
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HLK_2017-06-26_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_49KHQ_2017-07-29_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50HLG_2017-08-25_final.stac-item
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HMH_2017-09-14_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_49KHQ_2018-01-25_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-02-24_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-03-09_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KGR_2018-03-29_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HMH_2018-04-02_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JGL_2018-05-18_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMK_2018-06-08_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KGQ_2018-06-24_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-07-07_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-08-03_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49KHP_2018-08-26_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HLG_2018-10-09_final.stac-item
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KGR_2018-10-15_final
2018-11-11 12:03:39	ga_s2am_ard_3-2-1_49KHS_2018-11-11_final.stac-item
2018-11-28 11:56:32	ga_s2am_ard_3-2-1_50HLK_2018-11-28_final
2019-01-14 11:46:36	ga_s2am_ard_3-2-1_50HMK_2019-01-14_final
2019-02-19 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2019-02-19_final
2019-04-07 11:57:24	ga_s2am_ard_3-2-1_50HLG_2019-04-07_final.stac-item
2019-04-10 12:04:29	ga_s2am_ard_3-2-1_49KHP_2019-04-10_final
2019-05-14 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-05-14_final
2019-05-14 11:47:14	ga_s2am_ard_3-2-1_50HMH_2019-05-14_final
2019-05-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-05-23_final.stac-item
2019-08-11 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-08-11_final
2019-08-15 11:56:40	ga_s2am_ard_3-2-1_50HMK_2019-08-15_final
2019-08-25 11:57:11	ga_s2am_ard_3-2-1_50HLH_2019-08-25_final
2019-09-07 12:05:28	ga_s2am_ard_3-2-1_49JGK_2019-09-07_final
2020-02-24 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2020-02-24_final
2020-03-02 11:56:32	ga_s2am_ard_3-2-1_50HMK_2020-03-02_final
2020-03-09 11:47:03	ga_s2am_ard_3-2-1_50HMH_2020-03-09_final
2020-05-01 11:57:23	ga_s2am_ard_3-2-1_50HMG_2020-05-01_final.stac-item
2020-06-20 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-06-20_final
2020-07-16 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-07-16_final
2020-07-23 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-07-23_final.stac-item
2020-12-07 11:56:38	ga_s2am_ard_3-2-1_50HLK_2020-12-07_final
2020-12-10 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2020-12-10_final
2021-01-13 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-01-13_final
2021-01-29 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-01-29_final
2021-02-11 12:13:57	ga_s2am_ard_3-2-1_49KGR_2021-02-11_final
2021-02-12 11:46:39	ga_s2am_ard_3-2-1_50HMK_2021-02-12_final
2021-02-15 11:56:35	ga_s2am_ard_3-2-1_50HMK_2021-02-15_final
2021-02-22 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-02-22_final
2021-03-23 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-03-23_final
2021-03-24 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2021-03-24_final
2021-04-30 11:37:24	ga_s2am_ard_3-2-1_50HNG_2021-04-30_final.stac-item
2021-05-26 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-05-26_final
2021-06-25 11:57:15	ga_s2am_ard_3-2-1_50HLH_2021-06-25_final
2021-09-13 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-09-13_final
2022-01-04 12:04:58	ga_s2am_ard_3-2-1_49JHM_2022-01-04_final
2022-01-31 11:56:40	ga_s2am_ard_3-2-1_50HLK_2022-01-31_final
2022-02-13 12:03:44	ga_s2am_ard_3-2-1_49KHS_2022-02-13_final.stac-item
2022-05-01 11:56:41	ga_s2am_ard_3-2-1_50HMK_2022-05-01_final
2022-07-13 12:05:09	ga_s2am_ard_3-2-1_49JHM_2022-07-13_final
2022-07-30 11:56:39	ga_s2am_ard_3-2-1_50HNK_2022-07-30_final
2022-08-03 11:37:32	ga_s2am_ard_3-2-1_50HPG_2022-08-03_final.stac-item
2022-08-05 12:14:32	ga_s2am_ard_3-2-1_49KHP_2022-08-05_final
2022-09-14 12:14:18	ga_s2am_ard_3-2-1_49KHQ_2022-09-14_final.stac-item
2022-10-18 11:57:26	ga_s2am_ard_3-2-1_50HLG_2022-10-18_final.stac-item
2023-01-09 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-01-09_final.stac-item
2023-02-02 11:46:39	ga_s2am_ard_3-2-1_50HMK_2023-02-02_final.stac-item
2023-02-12 11:46:39	ga_s2am_ard_3-2-1_50HMK_2023-02-12_final.stac-item
2023-02-25 11:56:34	ga_s2am_ard_3-2-1_50HMK_2023-02-25_final.stac-item
2023-03-13 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2023-03-13_final.stac-item
2023-04-13 11:47:21	ga_s2am_ard_3-2-1_50HNG_2023-04-13_final.stac-item
2023-04-23 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-04-23_final.stac-item
2023-05-19 12:03:46	ga_s2am_ard_3-2-1_49KHS_2023-05-19_final.stac-item
2023-05-26 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2023-05-26_final.stac-item
2023-08-01 11:47:19	ga_s2am_ard_3-2-1_50HLH_2023-08-01_final.stac-item
2023-08-04 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-08-04_final.stac-item
2024-01-17 12:14:13	ga_s2am_ard_3-2-1_49KHP_2024-01-17_final.stac-item
2024-02-20 11:56:28	ga_s2am_ard_3-2-1_50HNK_2024-02-20_final.stac-item
2024-02-20 11:56:34	ga_s2am_ard_3-2-1_50HMK_2024-02-20_final.stac-item
2024-03-07 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-07_final.stac-item
2024-03-11 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2024-03-11_final.stac-item
2024-03-24 12:04:58	ga_s2am_ard_3-2-1_49JHM_2024-03-24_final.stac-item
2024-04-07 11:47:08	ga_s2am_ard_3-2-1_50HMH_2024-04-07_final.stac-item
2024-04-07 11:47:13	ga_s2am_ard_3-2-1_50HLH_2024-04-07_final.stac-item
2024-04-16 12:15:13	ga_s2am_ard_3-2-1_49JGL_2024-04-16_final.stac-item
2024-04-17 11:46:44	ga_s2am_ard_3-2-1_50HMK_2024-04-17_final.stac-item
2024-04-17 11:47:13	ga_s2am_ard_3-2-1_50HMH_2024-04-17_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