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
2015-10-22 11:46:57	ga_s2am_ard_3-2-1_50HLG_2015-10-22_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_50JMR_2015-12-27_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JMR_2016-01-16_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JMR_2016-02-15_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JMR_2016-04-15_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JMR_2016-04-25_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JMR_2016-06-24_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JMR_2016-07-14_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JMS_2016-07-14_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JMR_2016-09-12_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JMR_2016-09-22_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JHN_2016-10-05_final.stac-item
2016-10-13 11:35:59	ga_s2am_ard_3-2-1_50HQK_2016-10-13_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JMR_2016-11-11_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50JMR_2016-12-21_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JMR_2016-12-31_final
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_50HQJ_2017-02-20_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_50JMR_2017-03-21_final
2017-04-03 12:14:19	ga_s2am_ard_3-2-1_49KHP_2017-04-03_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HLG_2017-04-14_final.stac-item
2017-04-27 11:56:35	ga_s2am_ard_3-2-1_50HLG_2017-04-27_final.stac-item
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50HLG_2017-06-06_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HLG_2017-06-13_final.stac-item
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JMS_2017-07-09_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HLG_2018-05-19_final.stac-item
2018-05-22 11:53:30	ga_s2am_ard_3-2-1_50JMQ_2018-05-22_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JMQ_2018-06-01_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JHN_2018-06-04_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JMR_2018-06-24_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JMS_2018-07-24_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_50JMR_2018-08-23_final
2018-12-11 12:04:50	ga_s2am_ard_3-2-1_50JMR_2018-12-11_final
2019-01-10 12:04:54	ga_s2am_ard_3-2-1_50JMR_2019-01-10_final
2019-02-09 12:04:55	ga_s2am_ard_3-2-1_50JMR_2019-02-09_final
2019-03-01 12:04:54	ga_s2am_ard_3-2-1_50JMR_2019-03-01_final
2019-05-07 11:54:52	ga_s2am_ard_3-2-1_50JLT_2019-05-07_final
2019-06-09 12:05:01	ga_s2am_ard_3-2-1_50JMR_2019-06-09_final
2019-06-29 12:05:03	ga_s2am_ard_3-2-1_50JMR_2019-06-29_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
2019-08-28 12:05:00	ga_s2am_ard_3-2-1_50JMR_2019-08-28_final
2019-10-20 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-10-20_final.stac-item
2019-10-27 12:04:39	ga_s2am_ard_3-2-1_50JMT_2019-10-27_final
2019-11-26 12:04:59	ga_s2am_ard_3-2-1_50JMR_2019-11-26_final
2019-12-06 12:04:56	ga_s2am_ard_3-2-1_50JMR_2019-12-06_final
2020-03-12 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-12_final.stac-item
2020-04-01 11:54:36	ga_s2am_ard_3-2-1_50JMT_2020-04-01_final
2020-04-11 11:54:39	ga_s2am_ard_3-2-1_50JMT_2020-04-11_final
2020-05-04 12:04:39	ga_s2am_ard_3-2-1_50JMT_2020-05-04_final
2020-05-11 11:54:45	ga_s2am_ard_3-2-1_50JMT_2020-05-11_final
2020-05-14 12:04:40	ga_s2am_ard_3-2-1_50JMT_2020-05-14_final
2020-06-03 12:04:42	ga_s2am_ard_3-2-1_50JMT_2020-06-03_final
2020-06-07 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-06-07_final.stac-item
2020-06-13 12:04:42	ga_s2am_ard_3-2-1_50JMT_2020-06-13_final
2020-06-13 12:05:05	ga_s2am_ard_3-2-1_50JMR_2020-06-13_final
2020-07-03 12:05:03	ga_s2am_ard_3-2-1_50JMR_2020-07-03_final
2020-07-07 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-07-07_final.stac-item
2020-07-13 12:04:40	ga_s2am_ard_3-2-1_50JMT_2020-07-13_final
2020-07-23 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-07-23_final
2020-07-30 11:54:46	ga_s2am_ard_3-2-1_50JMT_2020-07-30_final
2020-08-02 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-08-02_final
2020-08-19 11:54:46	ga_s2am_ard_3-2-1_50JMT_2020-08-19_final
2020-09-11 12:04:39	ga_s2am_ard_3-2-1_50JMT_2020-09-11_final
2020-09-18 11:54:45	ga_s2am_ard_3-2-1_50JMT_2020-09-18_final
2020-09-21 12:04:40	ga_s2am_ard_3-2-1_50JMT_2020-09-21_final
2020-09-21 12:05:03	ga_s2am_ard_3-2-1_50JMR_2020-09-21_final
2020-10-01 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-10-01_final
2020-10-01 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-10-01_final
2020-10-11 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-10-11_final
2020-10-21 12:05:04	ga_s2am_ard_3-2-1_50JMR_2020-10-21_final
2020-11-10 12:05:03	ga_s2am_ard_3-2-1_50JMR_2020-11-10_final
2021-01-19 12:04:59	ga_s2am_ard_3-2-1_50JMR_2021-01-19_final
2021-03-30 12:04:56	ga_s2am_ard_3-2-1_50JMR_2021-03-30_final
2021-04-16 11:54:34	ga_s2am_ard_3-2-1_50JMT_2021-04-16_final
2021-04-19 12:04:30	ga_s2am_ard_3-2-1_50JMT_2021-04-19_final
2021-04-26 11:54:37	ga_s2am_ard_3-2-1_50JMT_2021-04-26_final
2021-04-29 12:04:33	ga_s2am_ard_3-2-1_50JMT_2021-04-29_final
2021-06-09 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-06-09_final.stac-item
2021-08-11 11:46:56	ga_s2am_ard_3-2-1_50HQH_2021-08-11_final
2021-08-11 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-11_final.stac-item
2021-10-06 12:05:34	ga_s2am_ard_3-2-1_49JGK_2021-10-06_final
2022-03-15 12:04:39	ga_s2am_ard_3-2-1_50JMT_2022-03-15_final
2022-04-14 12:05:01	ga_s2am_ard_3-2-1_50JMR_2022-04-14_final
2022-04-24 12:05:03	ga_s2am_ard_3-2-1_50JMR_2022-04-24_final
2022-05-04 12:05:03	ga_s2am_ard_3-2-1_50JMR_2022-05-04_final
2022-05-14 12:04:37	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final
2022-07-23 12:05:09	ga_s2am_ard_3-2-1_50JMR_2022-07-23_final
2022-07-27 11:47:37	ga_s2am_ard_3-2-1_50HLG_2022-07-27_final.stac-item
2022-12-27 11:57:19	ga_s2am_ard_3-2-1_50HMG_2022-12-27_final.stac-item
2023-02-03 12:50:59	ga_s2am_ard_3-2-1_48LWP_2023-02-03_final.stac-item
2023-03-10 12:04:26	ga_s2am_ard_3-2-1_50JMT_2023-03-10_final.stac-item
2023-03-20 12:04:29	ga_s2am_ard_3-2-1_50JMT_2023-03-20_final.stac-item
2023-03-20 12:04:35	ga_s2am_ard_3-2-1_50JMT_2023-03-20_final.stac-item
2023-03-20 12:04:57	ga_s2am_ard_3-2-1_50JMR_2023-03-20_final.stac-item
2023-04-26 11:54:40	ga_s2am_ard_3-2-1_50JMT_2023-04-26_final.stac-item
2023-04-29 12:04:59	ga_s2am_ard_3-2-1_50JMR_2023-04-29_final.stac-item
2023-05-06 11:54:40	ga_s2am_ard_3-2-1_50JMT_2023-05-06_final.stac-item
2023-08-04 11:54:49	ga_s2am_ard_3-2-1_50JLT_2023-08-04_final.stac-item
2024-03-21 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2024-03-21_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