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
2015-08-01 11:04:34	ga_s2am_ard_3-2-1_52JEP_2015-08-01_final.stac-item
2015-08-18 10:53:11	ga_s2am_ard_3-2-1_53KMQ_2015-08-18_final.stac-item
2015-08-18 10:54:45	ga_s2am_ard_3-2-1_52JEP_2015-08-18_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JMR_2015-11-27_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53HMB_2016-01-29_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_52JDP_2016-03-11_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JQT_2016-04-02_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52HCK_2016-05-30_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JQT_2016-06-11_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JYG_2016-06-12_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51JYG_2016-07-22_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51JUL_2016-07-28_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50KPF_2016-08-10_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51JYG_2016-08-11_final.stac-item
2016-08-12 10:55:06	ga_s2am_ard_3-2-1_52JEP_2016-08-12_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JQT_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JQT_2016-11-28_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51HXD_2017-01-08_final
2017-03-16 11:12:06	ga_s2am_ard_3-2-1_51JZN_2017-03-16_final
2017-03-24 10:32:04	ga_s2am_ard_3-2-1_53HLD_2017-03-24_final
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JQT_2017-04-07_final.stac-item
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JYG_2017-05-18_final
2017-08-26 11:21:56	ga_s2am_ard_3-2-1_51JYG_2017-08-26_final
2017-09-16 10:47:22	ga_s2am_ard_3-2-1_52KGA_2017-09-16_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50KLU_2018-03-23_final
2018-04-23 11:17:01	ga_s2am_ard_3-2-1_51JYG_2018-04-23_final
2018-05-03 11:21:11	ga_s2am_ard_3-2-1_51JYG_2018-05-03_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51JTL_2018-05-09_final
2018-05-09 11:34:47	ga_s2am_ard_3-2-1_51JUL_2018-05-09_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JYG_2018-07-02_final
2018-08-11 11:19:45	ga_s2am_ard_3-2-1_51JYG_2018-08-11_final
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50JQT_2018-10-29_final
2018-11-07 10:46:08	ga_s2am_ard_3-2-1_53HKE_2018-11-07_final.stac-item
2018-11-07 10:46:10	ga_s2am_ard_3-2-1_52HGK_2018-11-07_final.stac-item
2019-01-17 11:54:19	ga_s2am_ard_3-2-1_50JQT_2019-01-17_final
2019-02-26 11:54:29	ga_s2am_ard_3-2-1_50KLU_2019-02-26_final
2019-03-28 11:54:33	ga_s2am_ard_3-2-1_50KLU_2019-03-28_final
2019-04-07 11:54:34	ga_s2am_ard_3-2-1_50KLU_2019-04-07_final
2019-04-18 11:25:48	ga_s2am_ard_3-2-1_51JYG_2019-04-18_final
2019-04-28 11:25:48	ga_s2am_ard_3-2-1_51JYG_2019-04-28_final
2019-05-08 11:25:49	ga_s2am_ard_3-2-1_51JYG_2019-05-08_final
2019-06-16 11:54:27	ga_s2am_ard_3-2-1_50JQT_2019-06-16_final
2019-09-04 11:54:23	ga_s2am_ard_3-2-1_50JQT_2019-09-04_final
2020-03-02 11:54:29	ga_s2am_ard_3-2-1_50KLU_2020-03-02_final
2020-04-01 11:54:19	ga_s2am_ard_3-2-1_50KQU_2020-04-01_final
2020-04-01 11:54:19	ga_s2am_ard_3-2-1_50JQT_2020-04-01_final
2020-04-01 11:54:19	ga_s2am_ard_3-2-1_50JQT_2020-04-01_final
2020-04-02 11:25:41	ga_s2am_ard_3-2-1_51JYG_2020-04-02_final
2020-05-02 11:25:48	ga_s2am_ard_3-2-1_51JYG_2020-05-02_final
2020-05-20 10:45:47	ga_s2am_ard_3-2-1_53JNF_2020-05-20_final
2020-06-30 11:54:28	ga_s2am_ard_3-2-1_50JQT_2020-06-30_final
2020-07-01 11:25:50	ga_s2am_ard_3-2-1_51JYG_2020-07-01_final
2020-07-21 11:25:50	ga_s2am_ard_3-2-1_51JYG_2020-07-21_final
2020-07-30 11:54:39	ga_s2am_ard_3-2-1_50KLU_2020-07-30_final
2020-07-31 11:25:51	ga_s2am_ard_3-2-1_51JYG_2020-07-31_final
2020-08-21 10:56:14	ga_s2am_ard_3-2-1_53HKE_2020-08-21_final.stac-item
2020-08-30 11:25:50	ga_s2am_ard_3-2-1_51JYG_2020-08-30_final
2020-09-18 11:54:38	ga_s2am_ard_3-2-1_50KLU_2020-09-18_final
2020-10-08 11:54:39	ga_s2am_ard_3-2-1_50KLU_2020-10-08_final
2021-03-06 10:45:41	ga_s2am_ard_3-2-1_53JNF_2021-03-06_final
2021-04-13 11:44:22	ga_s2am_ard_3-2-1_51JUN_2021-04-13_final
2021-04-16 11:54:17	ga_s2am_ard_3-2-1_50JQT_2021-04-16_final
2021-04-17 11:25:39	ga_s2am_ard_3-2-1_51JYG_2021-04-17_final
2021-04-26 11:54:30	ga_s2am_ard_3-2-1_50KLU_2021-04-26_final
2021-04-27 11:25:42	ga_s2am_ard_3-2-1_51JYG_2021-04-27_final
2021-05-17 11:25:45	ga_s2am_ard_3-2-1_51JYG_2021-05-17_final
2021-06-06 11:25:46	ga_s2am_ard_3-2-1_51JYG_2021-06-06_final
2021-06-10 11:05:12	ga_s2am_ard_3-2-1_52JFP_2021-06-10_final
2021-06-26 11:25:46	ga_s2am_ard_3-2-1_51JYG_2021-06-26_final
2021-07-06 11:25:47	ga_s2am_ard_3-2-1_51JYG_2021-07-06_final
2021-07-16 11:25:48	ga_s2am_ard_3-2-1_51JYG_2021-07-16_final
2021-07-26 11:25:48	ga_s2am_ard_3-2-1_51JYG_2021-07-26_final
2021-08-15 11:25:47	ga_s2am_ard_3-2-1_51JYG_2021-08-15_final
2021-08-24 11:54:25	ga_s2am_ard_3-2-1_50JQT_2021-08-24_final
2021-08-25 11:25:47	ga_s2am_ard_3-2-1_51JYG_2021-08-25_final
2022-02-25 11:05:41	ga_s2am_ard_3-2-1_52JEN_2022-02-25_final
2022-05-11 11:54:27	ga_s2am_ard_3-2-1_50JQT_2022-05-11_final
2022-07-03 12:05:11	ga_s2am_ard_3-2-1_50JMR_2022-07-03_final
2022-07-13 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-07-13_final
2022-11-27 11:54:23	ga_s2am_ard_3-2-1_50JQT_2022-11-27_final.stac-item
2022-12-06 10:46:13	ga_s2am_ard_3-2-1_53HKE_2022-12-06_final.stac-item
2022-12-16 10:44:09	ga_s2am_ard_3-2-1_53JMN_2022-12-16_final.stac-item
2022-12-22 11:00:46	ga_s2am_ard_3-2-1_52LGM_2022-12-22_final.stac-item
2023-02-15 11:54:20	ga_s2am_ard_3-2-1_50JQT_2023-02-15_final.stac-item
2023-03-07 11:53:48	ga_s2am_ard_3-2-1_50KQV_2023-03-07_final.stac-item
2023-03-28 11:25:43	ga_s2am_ard_3-2-1_51JYG_2023-03-28_final.stac-item
2023-03-29 10:56:06	ga_s2am_ard_3-2-1_53HKE_2023-03-29_final.stac-item
2023-05-08 10:51:41	ga_s2am_ard_3-2-1_53KPB_2023-05-08_final.stac-item
2023-07-16 11:25:47	ga_s2am_ard_3-2-1_51JYG_2023-07-16_final.stac-item
2023-09-13 11:54:38	ga_s2am_ard_3-2-1_50KLU_2023-09-13_final.stac-item
2023-09-23 11:54:35	ga_s2am_ard_3-2-1_50KLU_2023-09-23_final.stac-item
2023-10-23 11:54:23	ga_s2am_ard_3-2-1_50JQT_2023-10-23_final.stac-item
2023-11-21 10:46:09	ga_s2am_ard_3-2-1_53HKE_2023-11-21_final.stac-item
2023-11-22 11:54:19	ga_s2am_ard_3-2-1_50JQT_2023-11-22_final.stac-item
2023-12-12 11:54:18	ga_s2am_ard_3-2-1_50JQT_2023-12-12_final.stac-item
2023-12-20 11:16:12	ga_s2am_ard_3-2-1_52HCK_2023-12-20_final.stac-item
2024-02-12 10:52:48	ga_s2am_ard_3-2-1_52KHC_2024-02-12_final.stac-item
2024-02-20 11:54:21	ga_s2am_ard_3-2-1_50JQT_2024-02-20_final.stac-item
2024-02-21 11:26:13	ga_s2am_ard_3-2-1_51HWE_2024-02-21_final.stac-item
2024-03-31 11:54:32	ga_s2am_ard_3-2-1_50KLU_2024-03-31_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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