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
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49JHM_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKS_2016-07-14_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49JHN_2016-08-03_final.stac-item
2016-08-14 11:36:06	ga_s2am_ard_3-2-1_50HQK_2016-08-14_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHP_2016-12-04_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_49JGL_2016-12-21_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49JHN_2017-02-02_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JHN_2017-04-10_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JKS_2017-04-20_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLG_2017-04-27_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49KHP_2017-05-10_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JHN_2017-06-09_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHQ_2017-07-12_final
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKT_2017-08-08_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_49KHP_2017-08-18_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKR_2017-08-18_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50HLG_2017-09-14_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHP_2017-11-09_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGN_2017-11-16_final
2017-12-26 12:04:36	ga_s2am_ard_3-2-1_50JKT_2017-12-26_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKR_2018-03-16_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KHP_2018-03-29_final
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HLG_2018-05-09_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JKR_2018-08-13_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JKR_2018-08-23_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-10-15_final
2018-11-15 11:47:22	ga_s2am_ard_3-2-1_50HLG_2018-11-15_final.stac-item
2018-12-14 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-14_final
2019-01-11 11:36:29	ga_s2am_ard_3-2-1_50HQK_2019-01-11_final
2019-02-03 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-02-03_final.stac-item
2019-02-12 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-02-12_final
2019-03-01 12:05:02	ga_s2am_ard_3-2-1_50JKR_2019-03-01_final
2019-05-30 12:04:59	ga_s2am_ard_3-2-1_49JHM_2019-05-30_final
2019-06-19 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-06-19_final
2019-06-29 12:05:01	ga_s2am_ard_3-2-1_49JHM_2019-06-29_final
2019-07-09 12:05:17	ga_s2am_ard_3-2-1_50JKR_2019-07-09_final
2019-08-01 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-08-08 12:05:01	ga_s2am_ard_3-2-1_49JHM_2019-08-08_final
2019-08-08 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-08-08_final
2019-08-18 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-08-18_final
2019-08-18 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2019-08-18_final
2019-11-19 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-11-19_final
2019-11-27 11:36:34	ga_s2am_ard_3-2-1_50HQK_2019-11-27_final
2019-12-09 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-12-09_final
2019-12-19 12:14:15	ga_s2am_ard_3-2-1_49KHP_2019-12-19_final
2019-12-29 12:14:16	ga_s2am_ard_3-2-1_49KHP_2019-12-29_final
2020-01-18 12:14:25	ga_s2am_ard_3-2-1_49JHN_2020-01-18_final
2020-02-01 11:55:20	ga_s2am_ard_3-2-1_50JLQ_2020-02-01_final
2020-03-08 12:14:17	ga_s2am_ard_3-2-1_49KHP_2020-03-08_final
2020-05-01 11:57:26	ga_s2am_ard_3-2-1_50HLG_2020-05-01_final.stac-item
2020-05-14 12:05:02	ga_s2am_ard_3-2-1_49JHM_2020-05-14_final
2020-05-14 12:05:02	ga_s2am_ard_3-2-1_50JKS_2020-05-14_final
2020-05-31 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2020-05-31_final
2020-06-03 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-06-03_final
2020-06-03 12:05:18	ga_s2am_ard_3-2-1_50JKR_2020-06-03_final
2020-09-15 11:47:32	ga_s2am_ard_3-2-1_50HLG_2020-09-15_final.stac-item
2020-10-28 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2020-10-28_final
2020-11-13 12:14:49	ga_s2am_ard_3-2-1_49JFN_2020-11-13_final
2020-11-27 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2020-11-27_final
2020-12-07 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2020-12-07_final
2020-12-07 11:57:21	ga_s2am_ard_3-2-1_50HLG_2020-12-07_final.stac-item
2020-12-17 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2020-12-17_final
2021-01-16 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-01-16_final.stac-item
2021-02-02 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-02-02_final.stac-item
2021-02-15 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-02-15_final.stac-item
2021-03-27 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2021-03-27_final
2021-04-16 11:55:21	ga_s2am_ard_3-2-1_50JLQ_2021-04-16_final
2021-08-17 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final
2021-08-17 12:05:18	ga_s2am_ard_3-2-1_50JKR_2021-08-17_final
2021-08-17 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2021-08-17_final
2021-08-24 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2021-08-24_final
2021-09-07 11:37:13	ga_s2am_ard_3-2-1_50HPG_2021-09-07_final.stac-item
2021-09-20 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-09-20_final.stac-item
2021-09-23 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-09-23_final
2022-01-11 11:57:23	ga_s2am_ard_3-2-1_50HLG_2022-01-11_final.stac-item
2022-02-13 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2022-02-13_final
2022-02-20 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2022-02-20_final
2022-02-23 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2022-02-23_final
2022-03-06 11:36:33	ga_s2am_ard_3-2-1_50HQK_2022-03-06_final
2022-04-11 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-04-11_final.stac-item
2022-04-14 12:05:08	ga_s2am_ard_3-2-1_49JGL_2022-04-14_final
2022-04-14 12:05:15	ga_s2am_ard_3-2-1_50JKR_2022-04-14_final.stac-item
2022-04-21 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2022-04-21_final
2022-04-24 12:05:17	ga_s2am_ard_3-2-1_50JKR_2022-04-24_final
2022-05-04 12:05:17	ga_s2am_ard_3-2-1_50JKR_2022-05-04_final
2022-05-28 11:47:28	ga_s2am_ard_3-2-1_50HNG_2022-05-28_final.stac-item
2022-07-27 11:47:37	ga_s2am_ard_3-2-1_50HLG_2022-07-27_final.stac-item
2022-08-12 12:05:24	ga_s2am_ard_3-2-1_50JKR_2022-08-12_final
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_49JHN_2023-03-10_final.stac-item
2023-04-19 12:05:11	ga_s2am_ard_3-2-1_50JKR_2023-04-19_final.stac-item
2023-06-08 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2023-06-08_final.stac-item
2023-06-28 12:04:52	ga_s2am_ard_3-2-1_49JHN_2023-06-28_final.stac-item
2023-06-28 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2023-06-28_final.stac-item
2023-07-02 11:47:31	ga_s2am_ard_3-2-1_50HLG_2023-07-02_final.stac-item
2023-11-02 11:57:19	ga_s2am_ard_3-2-1_50HMG_2023-11-02_final.stac-item
2023-11-05 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2023-11-05_final.stac-item
2023-11-15 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-11-15_final.stac-item
2024-03-07 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-07_final.stac-item
2024-03-24 12:05:13	ga_s2am_ard_3-2-1_50JKR_2024-03-24_final.stac-item
2024-04-07 11:47:25	ga_s2am_ard_3-2-1_50HLG_2024-04-07_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