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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_50HMH_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLM_2016-01-03_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_49JGN_2016-04-25_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HNK_2016-09-29_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50HMJ_2016-11-05_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMH_2016-11-15_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHS_2016-11-21_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLM_2016-12-11_final
2017-05-07 11:56:10	ga_s2am_ard_3-2-1_50HLK_2017-05-07_final
2017-05-17 11:56:36	ga_s2am_ard_3-2-1_50HMG_2017-05-17_final.stac-item
2017-09-10 12:13:33	ga_s2am_ard_3-2-1_49KGQ_2017-09-10_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JLM_2017-09-14_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_49JGN_2017-12-06_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HPK_2018-01-26_final
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JKP_2018-02-01_final
2018-02-01 11:55:56	ga_s2am_ard_3-2-1_50HNK_2018-02-01_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMK_2018-03-13_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HPG_2018-04-29_final.stac-item
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KGQ_2018-05-18_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HQK_2018-05-19_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HLH_2018-06-08_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGN_2018-09-02_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMH_2018-10-09_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HPK_2018-10-23_final
2018-12-24 12:14:05	ga_s2am_ard_3-2-1_49KGQ_2018-12-24_final
2018-12-31 12:04:40	ga_s2am_ard_3-2-1_49JGN_2018-12-31_final
2019-01-03 12:14:07	ga_s2am_ard_3-2-1_49KGQ_2019-01-03_final
2019-02-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2019-02-09_final
2019-06-06 11:55:41	ga_s2am_ard_3-2-1_50JLP_2019-06-06_final
2019-06-23 11:47:14	ga_s2am_ard_3-2-1_50HMH_2019-06-23_final
2019-08-05 11:55:51	ga_s2am_ard_3-2-1_50JKP_2019-08-05_final
2019-10-01 11:46:42	ga_s2am_ard_3-2-1_50HMK_2019-10-01_final
2019-10-14 11:55:45	ga_s2am_ard_3-2-1_50JLP_2019-10-14_final
2019-10-21 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-10-21_final
2019-10-30 12:14:01	ga_s2am_ard_3-2-1_49KGR_2019-10-30_final
2019-11-06 12:06:12	ga_s2am_ard_3-2-1_50JKM_2019-11-06_final
2019-11-10 11:46:43	ga_s2am_ard_3-2-1_50HMK_2019-11-10_final
2019-11-30 11:46:40	ga_s2am_ard_3-2-1_50HMK_2019-11-30_final
2020-01-29 11:46:59	ga_s2am_ard_3-2-1_50HNH_2020-01-29_final
2020-02-01 11:56:39	ga_s2am_ard_3-2-1_50HMJ_2020-02-01_final
2020-02-15 11:37:20	ga_s2am_ard_3-2-1_50HNG_2020-02-15_final.stac-item
2020-03-15 12:04:39	ga_s2am_ard_3-2-1_50JKT_2020-03-15_final
2020-04-01 11:55:38	ga_s2am_ard_3-2-1_50JLP_2020-04-01_final
2020-05-15 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-05-15_final
2020-09-02 11:37:31	ga_s2am_ard_3-2-1_50HNG_2020-09-02_final.stac-item
2020-10-11 12:04:24	ga_s2am_ard_3-2-1_49KGQ_2020-10-11_final
2020-11-10 12:04:22	ga_s2am_ard_3-2-1_49KGQ_2020-11-10_final
2020-12-17 11:56:34	ga_s2am_ard_3-2-1_50HMK_2020-12-17_final
2020-12-24 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2020-12-24_final
2021-01-13 11:46:31	ga_s2am_ard_3-2-1_50HQK_2021-01-13_final
2021-01-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-29_final.stac-item
2021-01-29 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-01-29_final
2021-02-09 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-02-09_final
2021-02-18 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2021-02-18_final
2021-03-30 12:04:40	ga_s2am_ard_3-2-1_49JHN_2021-03-30_final
2021-04-19 12:04:37	ga_s2am_ard_3-2-1_50JKT_2021-04-19_final
2021-06-05 11:55:43	ga_s2am_ard_3-2-1_50JLP_2021-06-05_final
2021-06-05 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-06-05_final
2021-07-25 11:57:15	ga_s2am_ard_3-2-1_50HMH_2021-07-25_final
2021-09-10 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-09-10_final.stac-item
2021-09-23 11:56:14	ga_s2am_ard_3-2-1_50JLM_2021-09-23_final
2021-12-09 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-12-09_final
2021-12-12 11:55:41	ga_s2am_ard_3-2-1_50JLP_2021-12-12_final
2021-12-19 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-12-19_final
2021-12-29 11:46:57	ga_s2am_ard_3-2-1_50HMJ_2021-12-29_final
2021-12-29 11:47:16	ga_s2am_ard_3-2-1_50HLH_2021-12-29_final
2022-01-08 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2022-01-08_final
2022-01-27 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2022-01-27_final
2022-02-20 11:55:43	ga_s2am_ard_3-2-1_50JLP_2022-02-20_final
2022-03-09 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2022-03-09_final
2022-03-09 11:47:14	ga_s2am_ard_3-2-1_50HMH_2022-03-09_final
2022-03-15 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-03-15_final.stac-item
2022-03-19 11:46:33	ga_s2am_ard_3-2-1_50HQK_2022-03-19_final
2022-04-28 11:47:19	ga_s2am_ard_3-2-1_50HLH_2022-04-28_final
2022-05-28 11:47:22	ga_s2am_ard_3-2-1_50HLH_2022-05-28_final
2022-06-27 11:47:08	ga_s2am_ard_3-2-1_50HMJ_2022-06-27_final
2022-07-03 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-03_final.stac-item
2022-12-01 11:36:34	ga_s2am_ard_3-2-1_50HQK_2022-12-01_final.stac-item
2022-12-01 11:37:26	ga_s2am_ard_3-2-1_50HNG_2022-12-01_final.stac-item
2022-12-30 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2022-12-30_final.stac-item
2023-01-13 11:46:27	ga_s2am_ard_3-2-1_50HQK_2023-01-13_final.stac-item
2023-01-19 12:04:41	ga_s2am_ard_3-2-1_49JGN_2023-01-19_final.stac-item
2023-01-29 12:04:11	ga_s2am_ard_3-2-1_49KHQ_2023-01-29_final.stac-item
2023-02-28 12:03:42	ga_s2am_ard_3-2-1_49KHS_2023-02-28_final.stac-item
2023-04-09 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2023-04-09_final.stac-item
2023-05-09 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-05-09_final.stac-item
2023-06-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-08_final.stac-item
2023-06-28 12:04:53	ga_s2am_ard_3-2-1_50JKS_2023-06-28_final.stac-item
2023-07-18 12:03:49	ga_s2am_ard_3-2-1_49KHS_2023-07-18_final.stac-item
2023-07-28 12:05:17	ga_s2am_ard_3-2-1_50JKR_2023-07-28_final.stac-item
2023-08-07 12:04:32	ga_s2am_ard_3-2-1_49KHP_2023-08-07_final.stac-item
2023-09-03 11:57:11	ga_s2am_ard_3-2-1_50HMH_2023-09-03_final.stac-item
2023-09-07 11:37:26	ga_s2am_ard_3-2-1_50HPG_2023-09-07_final.stac-item
2023-10-16 12:05:36	ga_s2am_ard_3-2-1_50JLP_2023-10-16_final.stac-item
2023-11-06 11:37:17	ga_s2am_ard_3-2-1_50HQG_2023-11-06_final.stac-item
2023-11-28 12:14:01	ga_s2am_ard_3-2-1_49KHQ_2023-11-28_final.stac-item
2023-12-19 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-12-19_final.stac-item
2024-01-28 11:46:25	ga_s2am_ard_3-2-1_50HQK_2024-01-28_final.stac-item
2024-02-14 11:36:35	ga_s2am_ard_3-2-1_50HPK_2024-02-14_final.stac-item
2024-05-07 11:46:32	ga_s2am_ard_3-2-1_50HQK_2024-05-07_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

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