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
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLG_2016-03-20_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLP_2016-05-22_final.stac-item
2016-10-03 11:32:06	ga_s2am_ard_3-2-1_50HPK_2016-10-03_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JGL_2016-10-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JHM_2016-10-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_49JHN_2016-10-22_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKR_2016-10-22_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGL_2017-06-09_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JGL_2017-09-17_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_49JHM_2017-09-17_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KGP_2017-09-27_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JGL_2017-12-29_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HPG_2017-12-30_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-03-06_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGN_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHR_2018-03-09_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50HMG_2018-03-13_final.stac-item
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HMH_2018-03-20_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HNG_2018-03-30_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_49JGM_2018-04-15_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGL_2018-04-25_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JLP_2018-04-25_final
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HMH_2018-04-29_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JKR_2018-05-25_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLN_2018-05-25_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HPK_2018-06-08_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_49JGL_2018-06-14_final
2018-06-14 12:03:57	ga_s2am_ard_3-2-1_50JKN_2018-06-14_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HPK_2018-06-15_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNH_2018-06-18_final
2018-06-21 11:53:43	ga_s2am_ard_3-2-1_50JLM_2018-06-21_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHP_2018-06-24_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-06-27_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-06-27_final.stac-item
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JLP_2018-07-04_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKP_2018-07-14_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHQ_2018-08-06_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JKP_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JLP_2018-08-10_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HPJ_2018-08-14_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPJ_2018-09-03_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HQK_2018-09-03_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JLM_2018-09-29_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-10-15_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-10-16_final.stac-item
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNJ_2018-10-16_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-10-22_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JLP_2018-10-22_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_50HQK_2018-10-23_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HLH_2018-10-29_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JKN_2018-10-29_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50JLN_2018-10-29_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-11-01_final.stac-item
2018-11-11 12:04:37	ga_s2am_ard_3-2-1_50JKT_2018-11-11_final
2018-11-11 12:05:18	ga_s2am_ard_3-2-1_50JLQ_2018-11-11_final
2018-11-15 11:46:35	ga_s2am_ard_3-2-1_50HMK_2018-11-15_final
2018-11-28 11:57:01	ga_s2am_ard_3-2-1_50HLH_2018-11-28_final
2018-12-21 12:04:37	ga_s2am_ard_3-2-1_49JGN_2018-12-21_final
2018-12-21 12:05:06	ga_s2am_ard_3-2-1_49JGL_2018-12-21_final
2018-12-21 12:05:14	ga_s2am_ard_3-2-1_50JLQ_2018-12-21_final
2018-12-21 12:05:18	ga_s2am_ard_3-2-1_50JKQ_2018-12-21_final
2018-12-28 11:57:02	ga_s2am_ard_3-2-1_50HLH_2018-12-28_final
2019-01-01 11:37:20	ga_s2am_ard_3-2-1_50HNG_2019-01-01_final.stac-item
2019-03-25 11:47:16	ga_s2am_ard_3-2-1_50HPG_2019-03-25_final.stac-item
2019-06-10 11:36:36	ga_s2am_ard_3-2-1_50HQK_2019-06-10_final
2019-11-20 11:47:29	ga_s2am_ard_3-2-1_50HLG_2019-11-20_final.stac-item
2019-12-30 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-12-30_final.stac-item
2020-05-25 11:37:27	ga_s2am_ard_3-2-1_50HPG_2020-05-25_final.stac-item
2020-05-28 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-28_final.stac-item
2020-07-07 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-07-07_final
2020-10-25 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-10-25_final
2020-10-25 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-10-25_final
2021-01-16 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-01-16_final
2021-03-21 11:37:25	ga_s2am_ard_3-2-1_50HNG_2021-03-21_final.stac-item
2021-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2021-03-24_final
2021-03-30 12:04:55	ga_s2am_ard_3-2-1_50JKS_2021-03-30_final
2021-04-06 11:55:55	ga_s2am_ard_3-2-1_50JKN_2021-04-06_final
2021-04-23 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2021-04-23_final
2021-04-26 11:57:17	ga_s2am_ard_3-2-1_50HMG_2021-04-26_final.stac-item
2021-05-29 12:05:27	ga_s2am_ard_3-2-1_50JKQ_2021-05-29_final
2021-06-02 11:47:25	ga_s2am_ard_3-2-1_50HMG_2021-06-02_final.stac-item
2021-06-05 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-06-05_final.stac-item
2021-06-08 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-06-08_final
2021-06-18 12:04:57	ga_s2am_ard_3-2-1_50JKS_2021-06-18_final
2021-06-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-06-28_final
2021-07-08 12:04:45	ga_s2am_ard_3-2-1_49JHN_2021-07-08_final
2021-07-08 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-08_final
2021-07-08 12:05:54	ga_s2am_ard_3-2-1_50JLN_2021-07-08_final
2021-07-09 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-09_final
2021-07-28 12:04:49	ga_s2am_ard_3-2-1_49JGN_2021-07-28_final
2021-08-14 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-08-14_final
2021-08-17 12:05:43	ga_s2am_ard_3-2-1_50JKP_2021-08-17_final
2021-08-27 12:04:58	ga_s2am_ard_3-2-1_49JHM_2021-08-27_final
2021-08-27 12:04:59	ga_s2am_ard_3-2-1_50JKS_2021-08-27_final
2021-09-10 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2021-09-10_final
2021-12-16 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-12-16_final.stac-item
2023-03-17 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-03-17_final.stac-item
2023-07-31 12:13:45	ga_s2am_ard_3-2-1_49KHS_2023-07-31_final.stac-item
2023-09-19 12:13:42	ga_s2am_ard_3-2-1_49KHS_2023-09-19_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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