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
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGL_2016-01-06_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HQJ_2016-03-07_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGL_2016-04-18_final.stac-item
2016-06-07 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-06-07_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQH_2016-06-25_final.stac-item
2016-08-16 12:13:46	ga_s2am_ard_3-2-1_49KHR_2016-08-16_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HNK_2016-10-09_final.stac-item
2016-10-15 12:14:37	ga_s2am_ard_3-2-1_49JGM_2016-10-15_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49JGL_2016-12-14_final.stac-item
2017-02-19 12:02:47	ga_s2am_ard_3-2-1_49KHR_2017-02-19_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_49KHR_2017-03-11_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HNK_2017-07-03_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JKM_2017-08-25_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGN_2017-11-09_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HNG_2017-11-20_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JKP_2017-12-03_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHS_2017-12-19_final.stac-item
2018-01-18 12:14:35	ga_s2am_ard_3-2-1_49JGM_2018-01-18_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HLH_2018-03-13_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50JKN_2018-04-02_final
2018-04-26 11:32:59	ga_s2am_ard_3-2-1_50HQG_2018-04-26_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JKT_2018-05-05_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLM_2018-05-25_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JLM_2018-06-14_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HQJ_2018-07-05_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQH_2018-08-14_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHR_2018-08-23_final
2018-08-26 12:13:20	ga_s2am_ard_3-2-1_49JGM_2018-08-26_final
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-10-05_final
2018-11-24 12:15:03	ga_s2am_ard_3-2-1_49JGL_2018-11-24_final
2018-12-12 11:36:29	ga_s2am_ard_3-2-1_50HPK_2018-12-12_final
2019-01-13 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-01-13_final
2019-02-13 11:47:21	ga_s2am_ard_3-2-1_50HMG_2019-02-13_final.stac-item
2019-03-01 12:05:50	ga_s2am_ard_3-2-1_50JKN_2019-03-01_final
2019-03-11 12:03:40	ga_s2am_ard_3-2-1_49KHS_2019-03-11_final.stac-item
2019-04-07 11:56:01	ga_s2am_ard_3-2-1_50JKN_2019-04-07_final
2019-05-04 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-05-04_final
2019-06-09 12:04:07	ga_s2am_ard_3-2-1_49KHR_2019-06-09_final
2019-06-13 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-06-13_final
2019-10-30 12:15:14	ga_s2am_ard_3-2-1_49JGL_2019-10-30_final
2020-01-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2020-01-08_final
2020-01-22 11:56:07	ga_s2am_ard_3-2-1_50JKM_2020-01-22_final
2020-02-01 11:55:52	ga_s2am_ard_3-2-1_50JKN_2020-02-01_final
2020-05-07 12:15:14	ga_s2am_ard_3-2-1_49JGL_2020-05-07_final
2020-05-25 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-05-25_final
2020-05-28 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-05-28_final
2020-06-30 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-06-30_final
2020-07-07 11:46:42	ga_s2am_ard_3-2-1_50HNK_2020-07-07_final
2020-10-25 11:46:39	ga_s2am_ard_3-2-1_50HPK_2020-10-25_final
2020-11-30 12:05:38	ga_s2am_ard_3-2-1_50JLP_2020-11-30_final
2020-12-14 11:47:03	ga_s2am_ard_3-2-1_50HNH_2020-12-14_final
2021-01-09 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-09_final
2021-02-01 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-02-01_final
2021-03-30 12:04:43	ga_s2am_ard_3-2-1_49JGN_2021-03-30_final
2021-04-13 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2021-04-13_final
2021-04-16 11:55:40	ga_s2am_ard_3-2-1_50JKP_2021-04-16_final
2021-04-16 11:56:24	ga_s2am_ard_3-2-1_50HNK_2021-04-16_final
2021-04-19 12:05:50	ga_s2am_ard_3-2-1_50JKN_2021-04-19_final
2021-04-23 11:46:39	ga_s2am_ard_3-2-1_50HQJ_2021-04-23_final
2021-05-29 12:04:40	ga_s2am_ard_3-2-1_50JLT_2021-05-29_final
2021-05-30 11:37:04	ga_s2am_ard_3-2-1_50HQH_2021-05-30_final
2021-06-11 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-11_final
2021-07-09 11:37:21	ga_s2am_ard_3-2-1_50HQG_2021-07-09_final.stac-item
2021-08-17 12:06:07	ga_s2am_ard_3-2-1_50JLM_2021-08-17_final
2021-10-23 11:56:05	ga_s2am_ard_3-2-1_50JKN_2021-10-23_final
2021-12-09 11:46:27	ga_s2am_ard_3-2-1_50HQK_2021-12-09_final
2021-12-16 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-12-16_final
2021-12-25 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-12-25_final
2022-01-04 12:05:31	ga_s2am_ard_3-2-1_49JGK_2022-01-04_final
2022-02-07 11:46:37	ga_s2am_ard_3-2-1_50HNK_2022-02-07_final
2022-02-23 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-02-23_final
2022-04-21 11:56:04	ga_s2am_ard_3-2-1_50JKN_2022-04-21_final
2022-04-28 11:46:42	ga_s2am_ard_3-2-1_50HNK_2022-04-28_final
2022-05-08 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-05-08_final
2022-06-10 11:56:05	ga_s2am_ard_3-2-1_50JLN_2022-06-10_final
2022-06-20 11:56:52	ga_s2am_ard_3-2-1_50HLK_2022-06-20_final
2022-10-14 12:15:15	ga_s2am_ard_3-2-1_49JGL_2022-10-14_final.stac-item
2022-11-30 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-11-30_final.stac-item
2023-03-04 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-04_final.stac-item
2023-04-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-09_final.stac-item
2023-04-13 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-04-13_final.stac-item
2023-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2023-05-12_final.stac-item
2023-05-29 12:05:41	ga_s2am_ard_3-2-1_50JLP_2023-05-29_final.stac-item
2023-06-02 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-02_final.stac-item
2023-06-05 11:56:15	ga_s2am_ard_3-2-1_50JLM_2023-06-05_final.stac-item
2023-06-18 12:05:56	ga_s2am_ard_3-2-1_50JLN_2023-06-18_final.stac-item
2023-06-18 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-18_final.stac-item
2023-07-12 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2023-07-12_final.stac-item
2023-07-18 12:06:08	ga_s2am_ard_3-2-1_50JLM_2023-07-18_final.stac-item
2023-09-26 12:05:17	ga_s2am_ard_3-2-1_49JGL_2023-09-26_final.stac-item
2023-10-10 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2023-10-10_final.stac-item
2023-10-13 11:55:44	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-11-29 11:47:02	ga_s2am_ard_3-2-1_50HMH_2023-11-29_final.stac-item
2023-12-25 12:06:01	ga_s2am_ard_3-2-1_50JLM_2023-12-25_final.stac-item
2024-02-16 12:14:54	ga_s2am_ard_3-2-1_49JGM_2024-02-16_final.stac-item
2024-03-24 12:04:00	ga_s2am_ard_3-2-1_49KHR_2024-03-24_final.stac-item
2024-04-13 12:03:46	ga_s2am_ard_3-2-1_49KHS_2024-04-13_final.stac-item
2024-05-03 12:05:58	ga_s2am_ard_3-2-1_50JKN_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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