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
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JMQ_2016-02-02_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLT_2016-02-05_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JMQ_2016-03-03_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49JHN_2016-03-09_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JLT_2016-05-22_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JMR_2016-06-24_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JMR_2016-07-24_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JMR_2016-08-13_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JMR_2016-09-02_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JMR_2016-09-12_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-05_final.stac-item
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49JHN_2017-03-14_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49KHP_2017-04-03_final.stac-item
2017-04-07 11:49:43	ga_s2am_ard_3-2-1_50JMQ_2017-04-07_final.stac-item
2017-04-13 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-04-13_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JMR_2017-06-26_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JMS_2017-08-18_final
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JMS_2017-08-28_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JMQ_2017-09-14_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_50HQK_2017-09-18_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JMQ_2017-11-13_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JMQ_2018-03-03_final
2018-03-13 11:52:23	ga_s2am_ard_3-2-1_50JMQ_2018-03-13_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JMS_2018-03-16_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JMQ_2018-04-12_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-04-15_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JMR_2018-05-22_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JMR_2018-06-01_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLT_2018-07-11_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JMS_2018-07-11_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JMR_2018-08-13_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JMS_2018-08-23_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMQ_2018-10-09_final
2018-11-14 12:14:22	ga_s2am_ard_3-2-1_49KHP_2018-11-14_final
2018-11-21 12:04:52	ga_s2am_ard_3-2-1_50JMR_2018-11-21_final
2019-02-16 11:54:37	ga_s2am_ard_3-2-1_50JLT_2019-02-16_final
2019-03-18 11:54:41	ga_s2am_ard_3-2-1_50JLT_2019-03-18_final
2019-03-28 11:54:44	ga_s2am_ard_3-2-1_50JLT_2019-03-28_final
2019-04-07 11:54:45	ga_s2am_ard_3-2-1_50JLT_2019-04-07_final
2019-05-20 12:05:02	ga_s2am_ard_3-2-1_50JMR_2019-05-20_final
2019-06-06 11:54:46	ga_s2am_ard_3-2-1_50JLT_2019-06-06_final
2019-06-06 11:55:11	ga_s2am_ard_3-2-1_50JMR_2019-06-06_final
2019-06-19 12:05:02	ga_s2am_ard_3-2-1_50JMR_2019-06-19_final
2019-07-16 11:55:00	ga_s2am_ard_3-2-1_50JMS_2019-07-16_final
2019-07-29 12:05:03	ga_s2am_ard_3-2-1_50JMR_2019-07-29_final
2019-07-29 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2019-07-29_final
2019-08-28 12:05:00	ga_s2am_ard_3-2-1_50JMR_2019-08-28_final
2019-09-04 11:54:44	ga_s2am_ard_3-2-1_50JLT_2019-09-04_final
2019-12-09 12:14:28	ga_s2am_ard_3-2-1_49JHN_2019-12-09_final
2020-01-22 11:55:17	ga_s2am_ard_3-2-1_50JMQ_2020-01-22_final
2020-01-28 12:13:33	ga_s2am_ard_3-2-1_49KHS_2020-01-28_final.stac-item
2020-01-28 12:14:24	ga_s2am_ard_3-2-1_49JHN_2020-01-28_final
2020-03-25 12:04:55	ga_s2am_ard_3-2-1_50JMR_2020-03-25_final
2020-05-31 11:55:16	ga_s2am_ard_3-2-1_50JMR_2020-05-31_final
2020-06-10 11:54:51	ga_s2am_ard_3-2-1_50JLT_2020-06-10_final
2020-07-20 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2020-07-20_final
2020-11-27 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2020-11-27_final
2020-12-17 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2020-12-17_final
2020-12-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2020-12-21_final.stac-item
2021-02-18 12:04:58	ga_s2am_ard_3-2-1_50JMR_2021-02-18_final
2021-04-13 11:47:19	ga_s2am_ard_3-2-1_50HMG_2021-04-13_final.stac-item
2021-04-16 11:55:18	ga_s2am_ard_3-2-1_50JMQ_2021-04-16_final
2021-10-13 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2021-10-13_final
2021-11-02 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2021-11-02_final
2021-11-12 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2021-11-12_final
2021-11-22 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-11-22_final
2021-12-22 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-12-22_final
2022-02-20 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2022-02-20_final
2022-03-15 12:05:02	ga_s2am_ard_3-2-1_50JMR_2022-03-15_final
2022-05-14 12:04:37	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final
2022-07-03 12:05:01	ga_s2am_ard_3-2-1_50JMS_2022-07-03_final
2022-11-27 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2022-11-27_final.stac-item
2022-12-07 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2022-12-07_final.stac-item
2023-01-06 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-01-06_final.stac-item
2023-02-15 11:55:21	ga_s2am_ard_3-2-1_50JMQ_2023-02-15_final.stac-item
2023-02-25 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2023-02-25_final.stac-item
2023-03-10 12:04:28	ga_s2am_ard_3-2-1_49JHN_2023-03-10_final.stac-item
2023-03-27 11:54:42	ga_s2am_ard_3-2-1_50JLT_2023-03-27_final.stac-item
2023-05-06 11:54:44	ga_s2am_ard_3-2-1_50JLT_2023-05-06_final.stac-item
2023-06-05 11:54:48	ga_s2am_ard_3-2-1_50JLT_2023-06-05_final.stac-item
2023-06-15 11:54:48	ga_s2am_ard_3-2-1_50JLT_2023-06-15_final.stac-item
2023-07-08 12:04:54	ga_s2am_ard_3-2-1_50JMS_2023-07-08_final.stac-item
2023-07-15 11:54:49	ga_s2am_ard_3-2-1_50JLT_2023-07-15_final.stac-item
2023-07-25 11:54:49	ga_s2am_ard_3-2-1_50JLT_2023-07-25_final.stac-item
2023-08-04 11:54:49	ga_s2am_ard_3-2-1_50JLT_2023-08-04_final.stac-item
2023-08-14 11:54:50	ga_s2am_ard_3-2-1_50JLT_2023-08-14_final.stac-item
2023-09-23 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2023-09-23_final.stac-item
2023-10-03 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2023-10-03_final.stac-item
2023-11-02 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-11-02_final.stac-item
2023-12-02 11:55:16	ga_s2am_ard_3-2-1_50JMQ_2023-12-02_final.stac-item
2023-12-22 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2023-12-22_final.stac-item
2024-01-01 11:55:21	ga_s2am_ard_3-2-1_50JMQ_2024-01-01_final.stac-item
2024-01-31 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2024-01-31_final.stac-item
2024-02-10 11:55:11	ga_s2am_ard_3-2-1_50JMR_2024-02-10_final.stac-item
2024-02-10 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2024-02-10_final.stac-item
2024-03-01 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2024-03-01_final.stac-item
2024-04-20 11:55:13	ga_s2am_ard_3-2-1_50JMR_2024-04-20_final.stac-item
2024-05-20 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2024-05-20_final.stac-item
2024-05-30 11:54:47	ga_s2am_ard_3-2-1_50JLT_2024-05-30_nrt.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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