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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50HMJ_2015-10-22_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49JGL_2015-10-28_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_49JHM_2015-11-27_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHM_2016-01-16_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGM_2016-01-26_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_49KHR_2016-02-15_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGM_2016-04-18_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_49JHN_2016-10-12_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNJ_2016-10-16_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HPH_2016-10-16_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-21_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGJ_2016-12-21_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49JHN_2017-01-20_final
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HPJ_2017-01-24_final
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HMH_2017-03-05_final
2017-03-24 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-03-24_final
2017-03-28 11:56:02	ga_s2am_ard_3-2-1_50HMJ_2017-03-28_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JFN_2017-04-03_final.stac-item
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49JGM_2017-04-03_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HNK_2017-04-27_final
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49KHR_2017-06-02_final
2017-06-09 12:03:49	ga_s2am_ard_3-2-1_49KHR_2017-06-09_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49JGN_2017-09-30_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGR_2017-09-30_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49JGN_2017-10-10_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HLK_2017-12-03_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HNH_2018-02-18_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-08_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49JGL_2018-05-08_final
2018-07-07 12:13:22	ga_s2am_ard_3-2-1_49JGM_2018-07-07_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGJ_2018-09-02_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HLK_2018-09-09_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHP_2018-09-12_final
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-09-25_final
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KHQ_2018-09-25_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2019-01-14 11:46:33	ga_s2am_ard_3-2-1_50HNK_2019-01-14_final
2019-01-23 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2019-01-23_final
2019-02-13 11:47:02	ga_s2am_ard_3-2-1_50HNH_2019-02-13_final
2019-04-23 12:13:58	ga_s2am_ard_3-2-1_49KHR_2019-04-23_final
2019-04-30 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-04-30_final
2019-06-12 12:13:57	ga_s2am_ard_3-2-1_49KHR_2019-06-12_final
2019-09-17 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-09-17_final
2019-10-01 11:46:39	ga_s2am_ard_3-2-1_50HNK_2019-10-01_final
2019-10-24 11:56:40	ga_s2am_ard_3-2-1_50HMK_2019-10-24_final
2019-11-17 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-11-17_final.stac-item
2019-11-30 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2019-11-30_final
2019-12-03 11:56:35	ga_s2am_ard_3-2-1_50HMK_2019-12-03_final
2019-12-23 11:57:03	ga_s2am_ard_3-2-1_50HLH_2019-12-23_final
2020-01-15 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-15_final
2020-01-19 11:46:31	ga_s2am_ard_3-2-1_50HNK_2020-01-19_final
2020-01-19 11:46:45	ga_s2am_ard_3-2-1_50HNJ_2020-01-19_final
2020-03-12 11:56:36	ga_s2am_ard_3-2-1_50HLK_2020-03-12_final
2020-03-12 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2020-03-12_final
2020-03-12 11:57:05	ga_s2am_ard_3-2-1_50HLH_2020-03-12_final
2020-04-07 12:13:55	ga_s2am_ard_3-2-1_49KGR_2020-04-07_final
2020-04-11 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-04-11_final
2020-04-11 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2020-04-11_final
2020-05-07 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-05-07_final
2020-09-08 11:56:44	ga_s2am_ard_3-2-1_50HLK_2020-09-08_final
2020-09-15 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-09-15_final
2020-12-04 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2020-12-04_final
2021-01-13 11:47:07	ga_s2am_ard_3-2-1_50HNH_2021-01-13_final
2021-01-16 11:56:41	ga_s2am_ard_3-2-1_50HLK_2021-01-16_final
2021-02-02 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-02-02_final
2021-02-25 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-02-25_final
2021-04-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2021-04-22_final
2021-04-22 12:14:27	ga_s2am_ard_3-2-1_49JHN_2021-04-22_final
2021-06-05 11:56:31	ga_s2am_ard_3-2-1_50HNK_2021-06-05_final
2021-09-03 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-09-03_final
2021-09-20 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-09-20_final
2021-10-30 11:47:19	ga_s2am_ard_3-2-1_50HLH_2021-10-30_final
2021-12-29 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-12-29_final
2022-01-07 12:15:01	ga_s2am_ard_3-2-1_49JFM_2022-01-07_final
2022-02-20 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-02-20_final
2022-04-08 11:46:38	ga_s2am_ard_3-2-1_50HNK_2022-04-08_final
2022-04-08 11:47:11	ga_s2am_ard_3-2-1_50HMH_2022-04-08_final
2022-05-07 12:15:15	ga_s2am_ard_3-2-1_49JGL_2022-05-07_final
2022-05-11 11:56:34	ga_s2am_ard_3-2-1_50HNK_2022-05-11_final
2022-06-13 12:05:11	ga_s2am_ard_3-2-1_49JGM_2022-06-13_final
2022-09-18 11:56:49	ga_s2am_ard_3-2-1_50HLK_2022-09-18_final.stac-item
2022-09-24 12:14:02	ga_s2am_ard_3-2-1_49KHR_2022-09-24_final.stac-item
2022-11-14 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2022-11-14_final.stac-item
2022-12-24 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2022-12-24_final.stac-item
2023-01-12 12:13:56	ga_s2am_ard_3-2-1_49KGR_2023-01-12_final.stac-item
2023-02-22 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-02-22_final.stac-item
2023-04-26 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-04-26_final.stac-item
2023-06-22 11:47:24	ga_s2am_ard_3-2-1_50HNG_2023-06-22_final.stac-item
2023-08-07 12:04:18	ga_s2am_ard_3-2-1_49KHQ_2023-08-07_final.stac-item
2023-09-19 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2023-09-19_final.stac-item
2023-11-02 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2023-11-02_final.stac-item
2023-11-09 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-11-09_final.stac-item
2023-12-22 11:56:26	ga_s2am_ard_3-2-1_50HNK_2023-12-22_final.stac-item
2024-01-01 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2024-01-01_final.stac-item
2024-01-01 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2024-01-01_final.stac-item
2024-01-28 11:47:05	ga_s2am_ard_3-2-1_50HMH_2024-01-28_final.stac-item
2024-02-10 11:56:47	ga_s2am_ard_3-2-1_50HMJ_2024-02-10_final.stac-item
2024-03-01 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2024-03-01_final.stac-item
2024-04-30 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2024-04-30_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