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
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49JGL_2015-12-30_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JKN_2016-02-02_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMC_2016-03-03_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNN_2016-04-29_final.stac-item
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50JNR_2016-04-29_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JFM_2016-05-18_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JQP_2016-05-29_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JNM_2016-06-18_final.stac-item
2016-10-12 12:03:43	ga_s2am_ard_3-2-1_49KHR_2016-10-12_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNJ_2016-10-16_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HNH_2016-12-05_final.stac-item
2017-06-02 12:13:37	ga_s2am_ard_3-2-1_49JGM_2017-06-02_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JNL_2017-08-15_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50JPL_2017-08-19_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50KKB_2017-09-27_final
2017-10-08 11:36:06	ga_s2am_ard_3-2-1_50JQL_2017-10-08_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMJ_2017-10-24_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGJ_2017-11-06_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HMH_2017-12-10_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHR_2017-12-26_final
2018-02-18 11:45:05	ga_s2am_ard_3-2-1_50HMH_2018-02-18_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-03-06_final.stac-item
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JKN_2018-04-12_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49KHS_2018-05-05_final.stac-item
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50HNK_2018-06-21_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50JNL_2018-07-28_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_50KMC_2018-08-03_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHS_2018-09-05_final.stac-item
2018-10-05 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-05_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50HMJ_2018-10-09_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HNK_2018-10-26_final
2018-11-08 11:57:01	ga_s2am_ard_3-2-1_50HMH_2018-11-08_final
2018-11-21 12:05:22	ga_s2am_ard_3-2-1_49JGK_2018-11-21_final
2018-12-28 11:57:02	ga_s2am_ard_3-2-1_50HLH_2018-12-28_final
2019-01-04 11:46:07	ga_s2am_ard_3-2-1_50JMM_2019-01-04_final
2019-01-10 12:05:51	ga_s2am_ard_3-2-1_50JKN_2019-01-10_final
2019-01-17 11:57:05	ga_s2am_ard_3-2-1_50HLH_2019-01-17_final
2019-02-03 11:47:07	ga_s2am_ard_3-2-1_50HMH_2019-02-03_final
2019-02-13 11:47:08	ga_s2am_ard_3-2-1_50HNH_2019-02-13_final
2019-04-07 11:57:10	ga_s2am_ard_3-2-1_50HLH_2019-04-07_final
2019-04-17 11:55:59	ga_s2am_ard_3-2-1_50JLN_2019-04-17_final
2019-06-13 11:46:40	ga_s2am_ard_3-2-1_50HNK_2019-06-13_final
2019-07-09 12:05:46	ga_s2am_ard_3-2-1_50JKP_2019-07-09_final
2019-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKB_2019-10-07_final
2019-12-10 11:47:06	ga_s2am_ard_3-2-1_50HMH_2019-12-10_final
2020-01-09 11:46:32	ga_s2am_ard_3-2-1_50HNK_2020-01-09_final
2020-04-18 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2020-04-18_final
2020-04-24 12:05:42	ga_s2am_ard_3-2-1_50JKP_2020-04-24_final
2020-06-14 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-06-14_final
2020-06-17 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-06-17_final.stac-item
2020-09-11 12:05:44	ga_s2am_ard_3-2-1_50JKP_2020-09-11_final
2020-11-17 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-11-17_final
2020-11-21 11:34:39	ga_s2am_ard_3-2-1_50JRT_2020-11-21_final
2020-11-24 11:47:11	ga_s2am_ard_3-2-1_50HMH_2020-11-24_final
2020-12-07 11:57:07	ga_s2am_ard_3-2-1_50HLH_2020-12-07_final
2021-01-03 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-01-03_final
2021-01-10 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-10_final
2021-01-16 11:55:47	ga_s2am_ard_3-2-1_50JKP_2021-01-16_final
2021-01-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-01-23_final
2021-01-26 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-26_final
2021-02-08 12:04:42	ga_s2am_ard_3-2-1_50JKT_2021-02-08_final
2021-02-11 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-02-11_final
2021-02-15 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2021-02-15_final
2021-04-06 11:55:38	ga_s2am_ard_3-2-1_50JLP_2021-04-06_final
2021-04-16 11:56:24	ga_s2am_ard_3-2-1_50HNK_2021-04-16_final
2021-04-16 11:57:14	ga_s2am_ard_3-2-1_50HMG_2021-04-16_final.stac-item
2021-04-26 11:57:08	ga_s2am_ard_3-2-1_50HMH_2021-04-26_final
2021-05-13 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2021-05-13_final
2021-05-23 11:47:17	ga_s2am_ard_3-2-1_50HPG_2021-05-23_final.stac-item
2021-06-11 12:14:42	ga_s2am_ard_3-2-1_49JGN_2021-06-11_final
2021-06-18 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-06-18_final.stac-item
2021-06-28 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-06-28_final
2021-07-05 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-07-05_final
2021-07-08 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-07-08_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final
2021-09-06 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-09-06_final
2021-09-16 12:06:06	ga_s2am_ard_3-2-1_50JLM_2021-09-16_final
2021-11-25 12:05:41	ga_s2am_ard_3-2-1_50JKP_2021-11-25_final
2022-01-01 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2022-01-01_final
2022-02-10 11:57:05	ga_s2am_ard_3-2-1_50HMH_2022-02-10_final
2022-05-14 12:05:55	ga_s2am_ard_3-2-1_50JLN_2022-05-14_final
2022-08-19 11:56:09	ga_s2am_ard_3-2-1_50JLN_2022-08-19_final
2022-10-14 12:13:44	ga_s2am_ard_3-2-1_49KHS_2022-10-14_final.stac-item
2022-11-10 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-11-10_final.stac-item
2022-12-04 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-12-04_final.stac-item
2022-12-11 11:37:21	ga_s2am_ard_3-2-1_50HPG_2022-12-11_final.stac-item
2022-12-24 11:47:22	ga_s2am_ard_3-2-1_50HMG_2022-12-24_final.stac-item
2023-01-19 12:03:39	ga_s2am_ard_3-2-1_50KKB_2023-01-19_final.stac-item
2023-02-12 11:47:22	ga_s2am_ard_3-2-1_50HMG_2023-02-12_final.stac-item
2023-03-10 12:05:50	ga_s2am_ard_3-2-1_50JKN_2023-03-10_final.stac-item
2023-04-19 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-04-19_final.stac-item
2023-06-12 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-12_final.stac-item
2023-06-28 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-28_final.stac-item
2023-07-18 12:06:08	ga_s2am_ard_3-2-1_50JLM_2023-07-18_final.stac-item
2023-09-10 11:46:42	ga_s2am_ard_3-2-1_50HNK_2023-09-10_final.stac-item
2023-10-03 11:56:20	ga_s2am_ard_3-2-1_50JNL_2023-10-03_final.stac-item
2023-10-09 12:13:54	ga_s2am_ard_3-2-1_50KKA_2023-10-09_final.stac-item
2023-11-05 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-11-05_final.stac-item
2023-12-12 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2023-12-12_final.stac-item
2024-01-11 11:55:51	ga_s2am_ard_3-2-1_50JLN_2024-01-11_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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