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
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JKS_2015-11-27_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHQ_2015-12-30_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2016-01-06_final.stac-item
2016-04-29 11:47:17	ga_s2am_ard_3-2-1_50HPG_2016-04-29_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_49KHP_2016-07-14_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKT_2016-07-24_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKQ_2016-08-23_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2016-09-12_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JHM_2016-09-22_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50HNK_2016-10-19_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KGQ_2016-11-01_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HQH_2016-11-05_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHS_2016-11-21_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_50HNG_2017-01-01_final.stac-item
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KHQ_2017-01-20_final
2017-03-08 11:56:00	ga_s2am_ard_3-2-1_50HLK_2017-03-08_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HNG_2017-03-12_final.stac-item
2017-03-28 11:56:02	ga_s2am_ard_3-2-1_50HMK_2017-03-28_final
2017-04-23 12:13:36	ga_s2am_ard_3-2-1_49KHS_2017-04-23_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_49JHM_2017-05-10_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KGQ_2017-05-30_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HQH_2017-06-13_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JHM_2017-06-19_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HNG_2017-08-12_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2017-08-18_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2017-10-17_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHS_2017-11-26_final.stac-item
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49KHQ_2018-01-25_final
2018-02-11 11:50:47	ga_s2am_ard_3-2-1_50JLP_2018-02-11_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HQH_2018-02-18_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHS_2018-03-09_final.stac-item
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHQ_2018-05-08_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HMJ_2018-05-12_final
2018-09-12 12:02:46	ga_s2am_ard_3-2-1_49KHQ_2018-09-12_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-10-02_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMG_2018-10-09_final.stac-item
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_49JHM_2018-10-12_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HQH_2018-11-05_final
2018-11-21 12:03:38	ga_s2am_ard_3-2-1_49KHS_2018-11-21_final.stac-item
2019-02-22 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2019-02-22_final
2019-06-03 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-06-03_final
2019-06-29 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2019-06-29_final
2019-07-19 12:03:50	ga_s2am_ard_3-2-1_49KHS_2019-07-19_final.stac-item
2019-07-29 12:05:01	ga_s2am_ard_3-2-1_49JHM_2019-07-29_final
2019-08-08 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-08-08_final
2019-08-15 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2019-08-15_final
2019-08-21 12:14:11	ga_s2am_ard_3-2-1_49KHQ_2019-08-21_final
2019-10-27 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-10-27_final.stac-item
2019-12-23 11:57:17	ga_s2am_ard_3-2-1_50HLG_2019-12-23_final.stac-item
2020-02-17 12:14:02	ga_s2am_ard_3-2-1_49KHQ_2020-02-17_final
2020-04-14 12:05:11	ga_s2am_ard_3-2-1_50JKR_2020-04-14_final
2020-06-23 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-06-23_final.stac-item
2020-07-10 11:57:24	ga_s2am_ard_3-2-1_50HMG_2020-07-10_final.stac-item
2020-08-02 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-08-02_final
2020-08-25 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-08-25_final
2020-09-04 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-09-04_final
2020-09-14 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2020-09-14_final
2020-09-21 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-09-21_final.stac-item
2020-12-20 12:05:10	ga_s2am_ard_3-2-1_50JKR_2020-12-20_final
2021-03-17 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-03-17_final
2021-04-02 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2021-04-02_final
2021-05-12 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2021-05-12_final
2021-07-09 11:37:14	ga_s2am_ard_3-2-1_50HQG_2021-07-09_final.stac-item
2021-09-10 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-09-10_final.stac-item
2021-09-20 11:47:17	ga_s2am_ard_3-2-1_50HLH_2021-09-20_final
2021-12-05 12:03:44	ga_s2am_ard_3-2-1_49KHS_2021-12-05_final.stac-item
2021-12-19 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-12-19_final
2021-12-19 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-12-19_final.stac-item
2022-01-17 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2022-01-17_final
2022-01-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2022-01-18_final.stac-item
2022-01-24 12:05:12	ga_s2am_ard_3-2-1_50JKR_2022-01-24_final
2022-01-28 11:47:27	ga_s2am_ard_3-2-1_50HLG_2022-01-28_final.stac-item
2022-02-06 12:13:39	ga_s2am_ard_3-2-1_49KHS_2022-02-06_final.stac-item
2022-03-28 12:14:21	ga_s2am_ard_3-2-1_49KGP_2022-03-28_final
2022-04-07 12:14:22	ga_s2am_ard_3-2-1_49KHP_2022-04-07_final
2022-04-14 12:05:07	ga_s2am_ard_3-2-1_50JKS_2022-04-14_final
2022-06-20 11:55:39	ga_s2am_ard_3-2-1_50JLQ_2022-06-20_final
2022-07-20 11:55:39	ga_s2am_ard_3-2-1_50JLQ_2022-07-20_final
2022-08-12 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-08-12_final
2022-09-12 11:37:31	ga_s2am_ard_3-2-1_50HPG_2022-09-12_final.stac-item
2022-12-13 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2022-12-13_final.stac-item
2023-04-19 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2023-04-19_final.stac-item
2023-05-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2023-05-16_final.stac-item
2023-05-19 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2023-05-19_final.stac-item
2023-06-11 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-06-11_final.stac-item
2023-06-28 12:05:16	ga_s2am_ard_3-2-1_50JKR_2023-06-28_final.stac-item
2023-07-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-07-02_final.stac-item
2023-07-08 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-07-08_final.stac-item
2023-09-19 12:13:42	ga_s2am_ard_3-2-1_49KHS_2023-09-19_final.stac-item
2023-09-27 11:37:19	ga_s2am_ard_3-2-1_50HQG_2023-09-27_final.stac-item
2023-10-20 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-10-20_final.stac-item
2023-10-26 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2023-10-26_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
2023-12-05 12:05:05	ga_s2am_ard_3-2-1_50JKR_2023-12-05_final.stac-item
2023-12-12 11:57:17	ga_s2am_ard_3-2-1_50HLG_2023-12-12_final.stac-item
2024-01-07 12:14:17	ga_s2am_ard_3-2-1_49KHP_2024-01-07_final.stac-item
2024-01-14 12:05:05	ga_s2am_ard_3-2-1_50JKR_2024-01-14_final.stac-item
2024-02-06 12:14:17	ga_s2am_ard_3-2-1_49KHP_2024-02-06_final.stac-item
2024-03-28 11:47:17	ga_s2am_ard_3-2-1_50HPG_2024-03-28_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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