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
2015-08-30 11:36:03	ga_s2am_ard_3-2-1_50HQK_2015-08-30_final.stac-item
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2015-11-27 12:04:40	ga_s2am_ard_3-2-1_50JLS_2015-11-27_final.stac-item
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_49KGQ_2015-11-30_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLP_2015-12-17_final.stac-item
2015-12-24 11:56:44	ga_s2am_ard_3-2-1_50JLL_2015-12-24_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPR_2016-01-03_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_50JLS_2016-01-26_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JNN_2016-02-02_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLQ_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLS_2016-02-05_final.stac-item
2016-02-08 12:10:34	ga_s2am_ard_3-2-1_49JGL_2016-02-08_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLQ_2016-02-15_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMT_2016-02-15_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JGN_2016-03-09_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KGP_2016-03-09_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQL_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JPR_2016-04-02_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JKM_2016-04-15_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHR_2016-05-08_final.stac-item
2016-05-12 11:56:32	ga_s2am_ard_3-2-1_50HMK_2016-05-12_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49JGN_2016-05-18_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KGR_2016-05-28_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHP_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHR_2016-08-26_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JLT_2016-09-02_final.stac-item
2016-09-25 12:13:39	ga_s2am_ard_3-2-1_49KGR_2016-09-25_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHQ_2016-11-14_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHR_2016-11-14_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JLQ_2016-12-11_final
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KGP_2016-12-14_final.stac-item
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_50JPR_2016-12-15_final
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KGP_2016-12-24_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_50JLQ_2017-01-20_final
2017-01-27 11:56:19	ga_s2am_ard_3-2-1_50HMJ_2017-01-27_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGQ_2017-02-22_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KGP_2017-03-14_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KGQ_2017-08-01_final
2017-08-01 12:13:37	ga_s2am_ard_3-2-1_49KHQ_2017-08-01_final
2017-09-17 12:03:44	ga_s2am_ard_3-2-1_49KHQ_2017-09-17_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JMS_2017-10-27_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KGR_2017-11-19_final
2018-12-14 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-14_final
2019-01-13 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2019-01-13_final
2019-01-23 12:14:23	ga_s2am_ard_3-2-1_49KGP_2019-01-23_final
2019-01-30 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2019-01-30_final
2019-01-31 11:37:03	ga_s2am_ard_3-2-1_50HPH_2019-01-31_final
2019-02-19 12:04:45	ga_s2am_ard_3-2-1_50JMS_2019-02-19_final
2019-02-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2019-02-23_final
2019-07-13 11:47:19	ga_s2am_ard_3-2-1_50HLH_2019-07-13_final
2019-11-29 12:13:54	ga_s2am_ard_3-2-1_49KHR_2019-11-29_final
2019-11-29 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-11-29_final
2019-12-16 12:05:59	ga_s2am_ard_3-2-1_50JLM_2019-12-16_final
2020-07-20 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2020-07-20_final
2020-07-26 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-07-26_final
2020-07-26 12:14:32	ga_s2am_ard_3-2-1_49KGP_2020-07-26_final
2020-09-04 12:13:59	ga_s2am_ard_3-2-1_49KHR_2020-09-04_final
2020-09-04 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-09-04_final
2020-09-18 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-09-18_final
2020-09-21 12:04:53	ga_s2am_ard_3-2-1_50JMS_2020-09-21_final
2020-09-22 11:36:10	ga_s2am_ard_3-2-1_50JQM_2020-09-22_final
2020-10-04 12:14:33	ga_s2am_ard_3-2-1_49KGP_2020-10-04_final
2020-10-04 12:14:47	ga_s2am_ard_3-2-1_49JGN_2020-10-04_final
2021-01-29 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-01-29_final.stac-item
2021-03-24 11:47:19	ga_s2am_ard_3-2-1_50HNG_2021-03-24_final.stac-item
2021-07-29 11:37:21	ga_s2am_ard_3-2-1_50HQG_2021-07-29_final.stac-item
2021-08-24 11:56:28	ga_s2am_ard_3-2-1_50JLL_2021-08-24_final
2021-08-31 11:46:14	ga_s2am_ard_3-2-1_50JMM_2021-08-31_final
2021-12-19 11:46:54	ga_s2am_ard_3-2-1_50HQH_2021-12-19_final
2021-12-22 11:56:12	ga_s2am_ard_3-2-1_50JLM_2021-12-22_final
2021-12-22 11:56:27	ga_s2am_ard_3-2-1_50JLL_2021-12-22_final
2022-01-01 11:56:13	ga_s2am_ard_3-2-1_50JLM_2022-01-01_final
2022-01-01 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-01-01_final
2022-01-01 11:56:42	ga_s2am_ard_3-2-1_50HLK_2022-01-01_final
2022-03-09 11:47:25	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-04-24 12:06:09	ga_s2am_ard_3-2-1_50JLM_2022-04-24_final
2022-06-27 11:47:06	ga_s2am_ard_3-2-1_50HQH_2022-06-27_final
2022-08-29 11:57:07	ga_s2am_ard_3-2-1_50HLJ_2022-08-29_final
2023-05-16 11:56:41	ga_s2am_ard_3-2-1_50HLK_2023-05-16_final.stac-item
2023-05-16 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2023-05-16_final.stac-item
2023-05-26 11:57:13	ga_s2am_ard_3-2-1_50HLH_2023-05-26_final.stac-item
2023-08-14 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2023-08-14_final.stac-item
2023-08-24 11:56:32	ga_s2am_ard_3-2-1_50JLL_2023-08-24_final.stac-item
2023-09-16 12:05:12	ga_s2am_ard_3-2-1_49JFM_2023-09-16_final.stac-item
2023-12-02 11:56:32	ga_s2am_ard_3-2-1_50HLK_2023-12-02_final.stac-item
2023-12-05 12:04:42	ga_s2am_ard_3-2-1_50JMS_2023-12-05_final.stac-item
2023-12-06 11:37:00	ga_s2am_ard_3-2-1_50HPH_2023-12-06_final.stac-item
2023-12-08 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2023-12-08_final.stac-item
2023-12-12 11:55:11	ga_s2am_ard_3-2-1_50JPQ_2023-12-12_final.stac-item
2023-12-12 11:55:21	ga_s2am_ard_3-2-1_50JPP_2023-12-12_final.stac-item
2023-12-22 11:56:22	ga_s2am_ard_3-2-1_50JLL_2023-12-22_final.stac-item
2023-12-22 11:57:18	ga_s2am_ard_3-2-1_50HLG_2023-12-22_final.stac-item
2024-01-25 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-25_final.stac-item
2024-01-28 11:46:57	ga_s2am_ard_3-2-1_50HPH_2024-01-28_final.stac-item
2024-02-10 11:56:10	ga_s2am_ard_3-2-1_50JKM_2024-02-10_final.stac-item
2024-02-10 11:57:18	ga_s2am_ard_3-2-1_50HLG_2024-02-10_final.stac-item
2024-02-23 12:06:02	ga_s2am_ard_3-2-1_50JLM_2024-02-23_final.stac-item
2024-03-25 11:37:27	ga_s2am_ard_3-2-1_50HNG_2024-03-25_final.stac-item
2024-03-27 12:13:55	ga_s2am_ard_3-2-1_49KHR_2024-03-27_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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