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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JMT_2015-10-28_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JMQ_2016-01-03_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMS_2016-04-15_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JMT_2016-06-11_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JMS_2016-08-10_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
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JMR_2016-09-22_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JMQ_2016-11-18_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50JMQ_2016-11-28_final.stac-item
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JMT_2016-12-31_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49JHN_2017-07-12_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JMT_2017-07-29_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JMT_2017-09-14_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JMT_2017-10-24_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JMQ_2017-11-13_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JMT_2018-01-25_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_50JMT_2018-03-16_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JMT_2018-04-12_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JMT_2018-06-24_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHS_2018-08-06_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JMR_2018-08-13_final
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JMS_2018-08-13_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMQ_2018-10-09_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMT_2018-10-09_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JMT_2018-10-19_final
2018-11-12 11:37:21	ga_s2am_ard_3-2-1_50HNG_2018-11-12_final.stac-item
2018-11-18 11:55:18	ga_s2am_ard_3-2-1_50JMQ_2018-11-18_final
2018-12-11 12:04:27	ga_s2am_ard_3-2-1_50JMT_2018-12-11_final
2018-12-31 12:04:29	ga_s2am_ard_3-2-1_50JMT_2018-12-31_final
2019-01-20 12:04:32	ga_s2am_ard_3-2-1_50JMT_2019-01-20_final
2019-01-30 12:04:32	ga_s2am_ard_3-2-1_50JMT_2019-01-30_final
2019-02-23 11:46:49	ga_s2am_ard_3-2-1_50HQH_2019-02-23_final
2019-02-26 11:54:40	ga_s2am_ard_3-2-1_50JLT_2019-02-26_final
2019-04-27 11:54:48	ga_s2am_ard_3-2-1_50JLT_2019-04-27_final
2019-05-07 11:54:44	ga_s2am_ard_3-2-1_50JMT_2019-05-07_final
2019-05-30 12:05:01	ga_s2am_ard_3-2-1_50JMR_2019-05-30_final
2019-06-29 12:05:03	ga_s2am_ard_3-2-1_50JMR_2019-06-29_final
2019-07-06 11:54:45	ga_s2am_ard_3-2-1_50JMT_2019-07-06_final
2019-08-08 12:05:03	ga_s2am_ard_3-2-1_50JMR_2019-08-08_final
2019-08-18 12:05:01	ga_s2am_ard_3-2-1_50JMR_2019-08-18_final
2019-09-04 11:54:40	ga_s2am_ard_3-2-1_50JMT_2019-09-04_final
2019-09-14 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2019-09-14_final
2019-12-13 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2019-12-13_final
2019-12-16 12:04:30	ga_s2am_ard_3-2-1_50JMT_2019-12-16_final
2020-01-05 12:04:30	ga_s2am_ard_3-2-1_50JMT_2020-01-05_final
2020-01-12 11:55:18	ga_s2am_ard_3-2-1_50JMQ_2020-01-12_final
2020-01-22 11:55:17	ga_s2am_ard_3-2-1_50JMQ_2020-01-22_final
2020-05-01 11:54:43	ga_s2am_ard_3-2-1_50JMT_2020-05-01_final
2020-08-19 11:54:46	ga_s2am_ard_3-2-1_50JMT_2020-08-19_final
2020-09-18 11:54:45	ga_s2am_ard_3-2-1_50JMT_2020-09-18_final
2020-11-07 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2020-11-07_final
2020-11-27 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2020-11-27_final
2020-12-07 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2020-12-07_final
2020-12-10 12:04:32	ga_s2am_ard_3-2-1_50JMT_2020-12-10_final
2020-12-17 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2020-12-17_final
2020-12-27 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2020-12-27_final
2021-01-29 12:04:36	ga_s2am_ard_3-2-1_50JMT_2021-01-29_final
2021-03-10 12:04:35	ga_s2am_ard_3-2-1_50JMT_2021-03-10_final
2021-04-16 11:55:18	ga_s2am_ard_3-2-1_50JMQ_2021-04-16_final
2021-05-09 12:04:35	ga_s2am_ard_3-2-1_50JMT_2021-05-09_final
2021-10-06 12:04:40	ga_s2am_ard_3-2-1_50JMT_2021-10-06_final
2021-10-13 11:54:46	ga_s2am_ard_3-2-1_50JMT_2021-10-13_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
2021-12-02 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2021-12-02_final
2022-01-04 12:04:37	ga_s2am_ard_3-2-1_50JMT_2022-01-04_final
2022-01-14 12:04:36	ga_s2am_ard_3-2-1_50JMT_2022-01-14_final
2022-01-24 12:04:36	ga_s2am_ard_3-2-1_50JMT_2022-01-24_final
2022-02-20 11:54:42	ga_s2am_ard_3-2-1_50JMT_2022-02-20_final
2022-03-02 11:54:44	ga_s2am_ard_3-2-1_50JMT_2022-03-02_final
2022-04-11 11:54:42	ga_s2am_ard_3-2-1_50JMT_2022-04-11_final
2022-04-14 12:05:01	ga_s2am_ard_3-2-1_50JMR_2022-04-14_final
2022-06-03 12:05:06	ga_s2am_ard_3-2-1_50JMR_2022-06-03_final
2022-07-03 12:04:48	ga_s2am_ard_3-2-1_50JMT_2022-07-03_final
2022-07-13 12:04:49	ga_s2am_ard_3-2-1_50JMT_2022-07-13_final
2022-07-23 12:04:46	ga_s2am_ard_3-2-1_50JMT_2022-07-23_final
2022-08-12 12:04:48	ga_s2am_ard_3-2-1_50JMT_2022-08-12_final
2022-08-12 12:05:11	ga_s2am_ard_3-2-1_50JMR_2022-08-12_final
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 11:54:37	ga_s2am_ard_3-2-1_50JMT_2023-02-15_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
2023-04-19 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-04-19_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 11:54:45	ga_s2am_ard_3-2-1_50JMT_2023-07-25_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
2023-10-03 11:54:42	ga_s2am_ard_3-2-1_50JMT_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
2024-01-04 12:04:32	ga_s2am_ard_3-2-1_50JMT_2024-01-04_final.stac-item
2024-01-31 11:55:19	ga_s2am_ard_3-2-1_50JMQ_2024-01-31_final.stac-item
2024-02-20 11:54:38	ga_s2am_ard_3-2-1_50JMT_2024-02-20_final.stac-item
2024-03-01 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2024-03-01_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

All years