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
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JHN_2016-01-26_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2016-01-26_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-06-14_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKT_2016-07-24_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-08-13_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JKQ_2016-10-12_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHP_2016-11-04_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHP_2016-11-14_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HQH_2016-11-15_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KHS_2017-02-12_final.stac-item
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JKQ_2017-03-01_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JKR_2017-03-31_final.stac-item
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KHP_2017-04-03_final.stac-item
2017-04-11 11:36:02	ga_s2am_ard_3-2-1_50HQK_2017-04-11_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HQH_2017-04-14_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JKQ_2017-04-30_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JLQ_2017-07-09_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKR_2017-08-18_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50JLQ_2017-10-04_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JLQ_2017-10-27_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JLQ_2017-11-13_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_50JLQ_2017-11-16_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HQH_2017-11-20_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-11-29_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-12-19_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-27_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JLQ_2018-03-26_final
2019-01-17 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2019-01-17_final
2019-01-20 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2019-01-20_final
2019-02-09 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2019-02-09_final
2019-02-19 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2019-02-19_final
2019-03-31 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2019-03-31_final
2019-05-10 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2019-05-10_final
2019-06-23 11:47:32	ga_s2am_ard_3-2-1_50HLG_2019-06-23_final.stac-item
2019-07-13 11:47:19	ga_s2am_ard_3-2-1_50HLH_2019-07-13_final
2019-08-08 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2019-08-08_final
2019-08-28 12:05:13	ga_s2am_ard_3-2-1_50JKR_2019-08-28_final
2019-09-07 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2019-09-07_final
2019-09-30 12:13:41	ga_s2am_ard_3-2-1_49KHS_2019-09-30_final.stac-item
2019-10-21 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-10-21_final
2019-11-23 11:55:28	ga_s2am_ard_3-2-1_50JLQ_2019-11-23_final
2019-11-26 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2019-11-26_final
2019-12-03 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2019-12-03_final
2019-12-29 12:14:16	ga_s2am_ard_3-2-1_49KHP_2019-12-29_final
2020-01-05 12:05:17	ga_s2am_ard_3-2-1_50JLQ_2020-01-05_final
2020-01-12 11:55:22	ga_s2am_ard_3-2-1_50JLQ_2020-01-12_final
2020-01-18 12:14:15	ga_s2am_ard_3-2-1_49KHP_2020-01-18_final
2020-01-25 12:05:16	ga_s2am_ard_3-2-1_50JLQ_2020-01-25_final
2020-02-18 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-02-18_final.stac-item
2020-06-26 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-06-26_final.stac-item
2020-07-13 12:05:16	ga_s2am_ard_3-2-1_50JKR_2020-07-13_final
2020-08-15 12:13:46	ga_s2am_ard_3-2-1_49KHS_2020-08-15_final.stac-item
2020-09-11 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2020-09-11_final
2020-11-24 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-11-24_final.stac-item
2021-04-29 12:05:09	ga_s2am_ard_3-2-1_50JKR_2021-04-29_final
2021-05-09 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-05-09_final
2021-05-13 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-05-13_final.stac-item
2021-08-11 11:47:29	ga_s2am_ard_3-2-1_50HLG_2021-08-11_final.stac-item
2021-09-06 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-09-06_final
2021-09-10 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-09-10_final.stac-item
2021-09-29 12:14:27	ga_s2am_ard_3-2-1_49KHP_2021-09-29_final
2021-10-23 11:55:33	ga_s2am_ard_3-2-1_50JLQ_2021-10-23_final
2021-10-29 12:14:26	ga_s2am_ard_3-2-1_49KHP_2021-10-29_final
2021-10-30 11:47:32	ga_s2am_ard_3-2-1_50HLG_2021-10-30_final.stac-item
2021-11-18 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-11-18_final
2021-11-25 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-11-25_final
2021-11-28 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-11-28_final
2021-12-08 12:14:20	ga_s2am_ard_3-2-1_49KHP_2021-12-08_final
2021-12-09 11:47:25	ga_s2am_ard_3-2-1_50HLG_2021-12-09_final.stac-item
2021-12-29 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-12-29_final.stac-item
2022-01-01 11:57:25	ga_s2am_ard_3-2-1_50HLG_2022-01-01_final.stac-item
2022-01-08 11:47:29	ga_s2am_ard_3-2-1_50HLG_2022-01-08_final.stac-item
2022-02-10 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2022-02-10_final
2022-02-17 11:47:28	ga_s2am_ard_3-2-1_50HLG_2022-02-17_final.stac-item
2022-03-09 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-03-09_final.stac-item
2022-03-18 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-03-18_final
2022-04-24 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2022-04-24_final
2022-05-01 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2022-05-01_final
2022-08-12 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-08-12_final
2022-08-29 11:55:40	ga_s2am_ard_3-2-1_50JLQ_2022-08-29_final.stac-item
2022-10-08 11:55:34	ga_s2am_ard_3-2-1_50JLQ_2022-10-08_final.stac-item
2022-10-18 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2022-10-18_final.stac-item
2022-10-28 11:55:31	ga_s2am_ard_3-2-1_50JLQ_2022-10-28_final.stac-item
2022-11-20 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2022-11-20_final.stac-item
2022-11-27 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2022-11-27_final.stac-item
2022-11-30 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2022-11-30_final.stac-item
2022-12-24 11:47:25	ga_s2am_ard_3-2-1_50HLG_2022-12-24_final.stac-item
2023-03-14 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-03-14_final.stac-item
2023-03-17 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2023-03-17_final.stac-item
2023-05-26 11:57:23	ga_s2am_ard_3-2-1_50HMG_2023-05-26_final.stac-item
2023-08-21 11:47:33	ga_s2am_ard_3-2-1_50HLG_2023-08-21_final.stac-item
2023-09-17 11:37:30	ga_s2am_ard_3-2-1_50HNG_2023-09-17_final.stac-item
2023-09-26 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2023-09-26_final.stac-item
2023-10-06 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2023-10-06_final.stac-item
2023-10-20 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-10-20_final.stac-item
2023-11-15 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-11-15_final.stac-item
2023-12-19 11:46:49	ga_s2am_ard_3-2-1_50HQH_2023-12-19_final.stac-item
2023-12-22 11:57:18	ga_s2am_ard_3-2-1_50HLG_2023-12-22_final.stac-item
2024-04-26 12:14:23	ga_s2am_ard_3-2-1_49KHP_2024-04-26_final.stac-item
2024-05-03 12:05:15	ga_s2am_ard_3-2-1_50JKR_2024-05-03_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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