Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_50HQK_2015-09-09_final.stac-item
2015-09-29 11:36:06	ga_s2am_ard_3-2-1_50HQK_2015-09-29_final.stac-item
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50HQK_2015-12-18_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JQT_2016-01-03_final.stac-item
2016-01-17 11:36:22	ga_s2am_ard_3-2-1_50HQK_2016-01-17_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPP_2016-02-02_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JPP_2016-03-03_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JQT_2016-06-11_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JQT_2016-07-21_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49JGL_2016-08-26_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JPP_2016-08-30_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JQT_2016-10-09_final.stac-item
2017-02-13 11:37:46	ga_s2am_ard_3-2-1_50JPT_2017-02-13_final.stac-item
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_50JPT_2017-03-05_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JQT_2017-03-18_final.stac-item
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JMT_2017-04-20_final.stac-item
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JPP_2017-05-17_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JMT_2017-05-30_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JPP_2017-06-06_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JMT_2017-06-19_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JPP_2017-06-26_final.stac-item
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JPP_2017-08-05_final.stac-item
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JMT_2017-08-18_final.stac-item
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JMT_2017-09-27_final.stac-item
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50HLJ_2017-10-04_final.stac-item
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50JMT_2017-11-13_final.stac-item
2017-12-07 11:35:58	ga_s2am_ard_3-2-1_50HQK_2017-12-07_final.stac-item
2018-03-20 11:37:46	ga_s2am_ard_3-2-1_50JPT_2018-03-20_final.stac-item
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JMT_2018-05-05_final.stac-item
2018-05-29 11:39:24	ga_s2am_ard_3-2-1_50JQR_2018-05-29_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JQT_2018-07-01_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JQM_2018-07-08_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JPP_2018-07-31_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JQT_2018-07-31_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JQT_2018-10-09_final.stac-item
2018-11-18 11:54:17	ga_s2am_ard_3-2-1_50JQT_2018-11-18_final.stac-item
2018-12-08 11:54:15	ga_s2am_ard_3-2-1_50JQT_2018-12-08_final.stac-item
2018-12-18 11:54:14	ga_s2am_ard_3-2-1_50JQT_2018-12-18_final.stac-item
2019-02-06 11:54:20	ga_s2am_ard_3-2-1_50JQT_2019-02-06_final.stac-item
2019-02-16 11:54:35	ga_s2am_ard_3-2-1_50JMT_2019-02-16_final.stac-item
2019-03-21 12:04:33	ga_s2am_ard_3-2-1_50JMT_2019-03-21_final.stac-item
2019-04-07 11:54:24	ga_s2am_ard_3-2-1_50JQT_2019-04-07_final.stac-item
2019-04-27 11:54:27	ga_s2am_ard_3-2-1_50JQT_2019-04-27_final.stac-item
2019-07-16 11:55:31	ga_s2am_ard_3-2-1_50JPP_2019-07-16_final.stac-item
2019-07-29 12:04:40	ga_s2am_ard_3-2-1_50JMT_2019-07-29_final.stac-item
2019-08-18 12:04:38	ga_s2am_ard_3-2-1_50JMT_2019-08-18_final.stac-item
2019-08-28 12:04:37	ga_s2am_ard_3-2-1_50JMT_2019-08-28_final.stac-item
2019-09-04 11:54:23	ga_s2am_ard_3-2-1_50JQT_2019-09-04_final.stac-item
2019-09-07 12:04:35	ga_s2am_ard_3-2-1_50JMT_2019-09-07_final.stac-item
2019-09-17 12:04:35	ga_s2am_ard_3-2-1_50JMT_2019-09-17_final.stac-item
2019-10-20 12:15:03	ga_s2am_ard_3-2-1_49JFM_2019-10-20_final.stac-item
2019-12-03 11:54:22	ga_s2am_ard_3-2-1_50JQT_2019-12-03_final.stac-item
2019-12-13 11:54:19	ga_s2am_ard_3-2-1_50JQT_2019-12-13_final.stac-item
2020-01-02 11:54:18	ga_s2am_ard_3-2-1_50JQT_2020-01-02_final.stac-item
2020-01-12 11:54:18	ga_s2am_ard_3-2-1_50JQT_2020-01-12_final.stac-item
2020-01-22 11:54:17	ga_s2am_ard_3-2-1_50JQT_2020-01-22_final.stac-item
2020-02-01 11:54:16	ga_s2am_ard_3-2-1_50JQT_2020-02-01_final.stac-item
2020-02-11 11:54:16	ga_s2am_ard_3-2-1_50JQT_2020-02-11_final.stac-item
2020-02-17 12:14:24	ga_s2am_ard_3-2-1_49KHP_2020-02-17_final.stac-item
2020-02-27 12:14:26	ga_s2am_ard_3-2-1_49JHN_2020-02-27_final.stac-item
2020-03-02 11:54:19	ga_s2am_ard_3-2-1_50JQT_2020-03-02_final.stac-item
2020-04-01 11:54:19	ga_s2am_ard_3-2-1_50JQT_2020-04-01_final.stac-item
2020-04-01 11:54:19	ga_s2am_ard_3-2-1_50JQT_2020-04-01_final.stac-item
2020-04-01 11:54:21	ga_s2am_ard_3-2-1_50JPT_2020-04-01_final.stac-item
2020-05-01 11:54:28	ga_s2am_ard_3-2-1_50JPT_2020-05-01_final.stac-item
2020-05-14 12:04:40	ga_s2am_ard_3-2-1_50JMT_2020-05-14_final.stac-item
2020-07-13 12:04:40	ga_s2am_ard_3-2-1_50JMT_2020-07-13_final.stac-item
2020-07-23 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-07-23_final.stac-item
2020-08-02 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-08-02_final.stac-item
2020-08-19 11:54:29	ga_s2am_ard_3-2-1_50JQT_2020-08-19_final.stac-item
2020-08-22 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-08-22_final.stac-item
2020-11-14 11:47:18	ga_s2am_ard_3-2-1_50HLH_2020-11-14_final.stac-item
2020-12-07 11:54:21	ga_s2am_ard_3-2-1_50JQT_2020-12-07_final.stac-item
2021-01-16 11:54:34	ga_s2am_ard_3-2-1_50KLU_2021-01-16_final.stac-item
2021-02-19 11:37:26	ga_s2am_ard_3-2-1_50HNG_2021-02-19_final
2021-04-06 11:54:19	ga_s2am_ard_3-2-1_50JQT_2021-04-06_final.stac-item
2021-06-25 11:54:25	ga_s2am_ard_3-2-1_50JQT_2021-06-25_final.stac-item
2021-07-01 12:13:42	ga_s2am_ard_3-2-1_49KHS_2021-07-01_final
2021-08-24 11:54:25	ga_s2am_ard_3-2-1_50JQT_2021-08-24_final.stac-item
2021-09-13 11:54:24	ga_s2am_ard_3-2-1_50JQT_2021-09-13_final.stac-item
2021-09-23 11:54:26	ga_s2am_ard_3-2-1_50JQT_2021-09-23_final.stac-item
2022-01-07 12:14:09	ga_s2am_ard_3-2-1_50KKV_2022-01-07_final.stac-item
2022-01-18 11:45:45	ga_s2am_ard_3-2-1_50JNN_2022-01-18_final.stac-item
2022-01-21 11:54:33	ga_s2am_ard_3-2-1_50KLU_2022-01-21_final.stac-item
2022-02-10 11:54:32	ga_s2am_ard_3-2-1_50KLU_2022-02-10_final.stac-item
2022-02-20 11:54:35	ga_s2am_ard_3-2-1_50KLU_2022-02-20_final.stac-item
2022-03-02 11:54:37	ga_s2am_ard_3-2-1_50KLU_2022-03-02_final.stac-item
2022-03-12 11:54:37	ga_s2am_ard_3-2-1_50KLU_2022-03-12_final.stac-item
2022-03-12 11:57:22	ga_s2am_ard_3-2-1_50HLH_2022-03-12_final.stac-item
2022-03-22 11:55:29	ga_s2am_ard_3-2-1_50JPP_2022-03-22_final.stac-item
2022-04-21 11:54:27	ga_s2am_ard_3-2-1_50JQT_2022-04-21_final.stac-item
2022-05-11 11:54:27	ga_s2am_ard_3-2-1_50JQT_2022-05-11_final.stac-item
2022-08-22 12:05:21	ga_s2am_ard_3-2-1_49JFM_2022-08-22_final.stac-item
2023-02-15 11:54:30	ga_s2am_ard_3-2-1_50KLU_2023-02-15_nrt.stac-item
2023-03-30 12:03:24	ga_s2am_ard_3-2-1_50KLC_2023-03-30_final
2023-06-28 12:04:49	ga_s2am_ard_3-2-1_50JMS_2023-06-28_final
2023-07-15 11:55:31	ga_s2am_ard_3-2-1_50JPP_2023-07-15_final
2023-09-06 12:05:14	ga_s2am_ard_3-2-1_49JFM_2023-09-06_final
2023-10-03 11:54:25	ga_s2am_ard_3-2-1_50JQT_2023-10-03_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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