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
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50HLK_2016-01-03_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JKQ_2016-01-26_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JLQ_2016-03-16_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JHN_2016-06-14_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JLQ_2016-11-18_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JLS_2016-11-18_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JLQ_2016-11-21_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_49KHQ_2016-12-01_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGN_2016-12-14_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_50JLR_2016-12-21_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HQH_2017-01-14_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_50HQJ_2017-02-20_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KGP_2017-08-01_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-08-01_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGP_2017-11-19_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_50JLR_2017-12-16_final
2018-12-04 12:14:00	ga_s2am_ard_3-2-1_49KHQ_2018-12-04_final
2019-01-30 12:05:09	ga_s2am_ard_3-2-1_50JKR_2019-01-30_final
2019-02-09 12:04:25	ga_s2am_ard_3-2-1_49KHP_2019-02-09_final
2019-02-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2019-02-09_final
2019-03-05 11:47:22	ga_s2am_ard_3-2-1_50HLG_2019-03-05_final.stac-item
2019-05-13 12:14:25	ga_s2am_ard_3-2-1_49KHP_2019-05-13_final
2019-08-01 12:14:31	ga_s2am_ard_3-2-1_49KGP_2019-08-01_final
2019-08-31 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-08-31_final
2019-09-30 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-09-30_final
2019-11-03 11:56:08	ga_s2am_ard_3-2-1_50JLN_2019-11-03_final
2019-11-26 12:05:08	ga_s2am_ard_3-2-1_50JLR_2019-11-26_final
2020-01-22 11:55:21	ga_s2am_ard_3-2-1_50JLQ_2020-01-22_final
2020-04-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2020-04-17_final
2020-07-30 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-07-30_final
2020-07-30 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-30_final
2020-08-15 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-08-15_final
2020-09-14 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-09-14_final
2020-10-01 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-10-01_final
2021-01-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-29_final.stac-item
2021-08-24 11:55:00	ga_s2am_ard_3-2-1_50JLS_2021-08-24_final
2021-08-24 11:56:13	ga_s2am_ard_3-2-1_50JLM_2021-08-24_final
2021-08-30 12:14:10	ga_s2am_ard_3-2-1_49KHQ_2021-08-30_final
2021-10-10 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-10_final
2021-11-05 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2021-11-05_final
2021-11-22 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-11-22_final
2021-11-28 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-11-28_final
2021-12-12 11:54:57	ga_s2am_ard_3-2-1_50JLS_2021-12-12_final
2022-01-04 12:04:55	ga_s2am_ard_3-2-1_50JLS_2022-01-04_final
2022-01-11 11:57:23	ga_s2am_ard_3-2-1_50HLG_2022-01-11_final.stac-item
2022-01-21 11:55:12	ga_s2am_ard_3-2-1_50JLR_2022-01-21_final
2022-01-24 12:05:08	ga_s2am_ard_3-2-1_50JLR_2022-01-24_final
2022-02-13 12:05:08	ga_s2am_ard_3-2-1_50JLR_2022-02-13_final
2022-02-20 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2022-02-20_final
2022-03-08 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2022-03-08_final
2022-03-09 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-03-09_final
2022-03-15 12:05:12	ga_s2am_ard_3-2-1_50JLR_2022-03-15_final
2022-04-11 11:55:00	ga_s2am_ard_3-2-1_50JLS_2022-04-11_final
2022-05-01 11:55:03	ga_s2am_ard_3-2-1_50JLS_2022-05-01_final
2022-05-07 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-05-07_final
2022-05-21 11:55:34	ga_s2am_ard_3-2-1_50JLQ_2022-05-21_final
2022-07-03 12:05:21	ga_s2am_ard_3-2-1_50JLR_2022-07-03_final
2022-07-13 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-07-13_final
2022-08-12 12:05:24	ga_s2am_ard_3-2-1_50JKR_2022-08-12_final
2022-10-21 12:04:54	ga_s2am_ard_3-2-1_50JLS_2022-10-21_final.stac-item
2022-12-27 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2022-12-27_final.stac-item
2023-01-16 11:55:09	ga_s2am_ard_3-2-1_50JLR_2023-01-16_final.stac-item
2023-01-16 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2023-01-16_final.stac-item
2023-01-29 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2023-01-29_final.stac-item
2023-02-25 11:54:55	ga_s2am_ard_3-2-1_50JLS_2023-02-25_final.stac-item
2023-04-16 11:55:12	ga_s2am_ard_3-2-1_50JLR_2023-04-16_final.stac-item
2023-04-16 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2023-04-16_final.stac-item
2023-05-06 11:54:58	ga_s2am_ard_3-2-1_50JLS_2023-05-06_final.stac-item
2023-05-16 11:56:37	ga_s2am_ard_3-2-1_50HMK_2023-05-16_final.stac-item
2023-05-16 11:57:23	ga_s2am_ard_3-2-1_50HLG_2023-05-16_final.stac-item
2023-06-05 11:54:48	ga_s2am_ard_3-2-1_50JLT_2023-06-05_final.stac-item
2023-06-11 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-06-11_final.stac-item
2023-07-01 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-07-01_final.stac-item
2023-07-18 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2023-07-18_final.stac-item
2023-10-29 12:14:21	ga_s2am_ard_3-2-1_49KHP_2023-10-29_final.stac-item
2023-11-02 11:55:11	ga_s2am_ard_3-2-1_50JLR_2023-11-02_final.stac-item
2023-11-02 11:57:19	ga_s2am_ard_3-2-1_50HMG_2023-11-02_final.stac-item
2023-11-25 12:04:48	ga_s2am_ard_3-2-1_50JLS_2023-11-25_final.stac-item
2023-11-25 12:05:17	ga_s2am_ard_3-2-1_50JLQ_2023-11-25_final.stac-item
2023-12-02 11:55:05	ga_s2am_ard_3-2-1_50JLR_2023-12-02_final.stac-item
2023-12-02 11:56:32	ga_s2am_ard_3-2-1_50HLK_2023-12-02_final.stac-item
2023-12-12 11:57:17	ga_s2am_ard_3-2-1_50HLG_2023-12-12_final.stac-item
2023-12-15 12:05:08	ga_s2am_ard_3-2-1_50JKR_2023-12-15_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 11:55:09	ga_s2am_ard_3-2-1_50JLR_2023-12-22_final.stac-item
2023-12-25 12:05:05	ga_s2am_ard_3-2-1_50JLR_2023-12-25_final.stac-item
2023-12-25 12:05:20	ga_s2am_ard_3-2-1_50JLQ_2023-12-25_final.stac-item
2024-01-08 11:46:49	ga_s2am_ard_3-2-1_50HQH_2024-01-08_final.stac-item
2024-01-11 11:55:07	ga_s2am_ard_3-2-1_50JLR_2024-01-11_final.stac-item
2024-02-13 12:04:51	ga_s2am_ard_3-2-1_50JLS_2024-02-13_final.stac-item
2024-02-23 12:04:52	ga_s2am_ard_3-2-1_50JLS_2024-02-23_final.stac-item
2024-02-23 12:05:06	ga_s2am_ard_3-2-1_50JLR_2024-02-23_final.stac-item
2024-03-04 12:05:12	ga_s2am_ard_3-2-1_50JKR_2024-03-04_final.stac-item
2024-03-27 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-27_final.stac-item
2024-03-31 11:55:03	ga_s2am_ard_3-2-1_50JLR_2024-03-31_final.stac-item
2024-04-04 11:37:14	ga_s2am_ard_3-2-1_50HQG_2024-04-04_final.stac-item
2024-04-10 11:54:58	ga_s2am_ard_3-2-1_50JLS_2024-04-10_final.stac-item
2024-04-14 11:37:28	ga_s2am_ard_3-2-1_50HNG_2024-04-14_final.stac-item
2024-04-23 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2024-04-23_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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