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
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JMR_2016-04-25_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
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JMS_2016-06-14_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JMR_2016-10-02_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JMR_2016-10-22_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JMT_2017-06-26_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JMS_2017-06-29_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JMS_2017-07-16_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50JMS_2017-08-18_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JMQ_2017-09-14_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JHN_2018-01-08_final
2018-03-03 11:52:20	ga_s2am_ard_3-2-1_50JMQ_2018-03-03_final
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-04-15_final.stac-item
2018-05-09 11:44:46	ga_s2am_ard_3-2-1_50HLG_2018-05-09_final.stac-item
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JMR_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_50JMS_2018-06-24_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
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JMT_2018-07-14_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_50JMT_2018-08-13_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLT_2018-08-20_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JMT_2018-08-20_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JMR_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JMS_2018-08-23_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JMT_2018-08-23_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_50JMT_2018-09-02_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JMQ_2018-09-19_final
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50JMT_2018-10-29_final
2018-11-28 11:54:30	ga_s2am_ard_3-2-1_50JLT_2018-11-28_final
2018-12-01 12:04:27	ga_s2am_ard_3-2-1_50JMT_2018-12-01_final
2019-02-06 11:54:37	ga_s2am_ard_3-2-1_50JMT_2019-02-06_final
2019-05-07 11:54:50	ga_s2am_ard_3-2-1_50JMT_2019-05-07_final
2019-05-20 12:05:02	ga_s2am_ard_3-2-1_50JMR_2019-05-20_final
2019-06-19 12:05:02	ga_s2am_ard_3-2-1_50JMR_2019-06-19_final
2019-06-29 12:04:53	ga_s2am_ard_3-2-1_50JMS_2019-06-29_final
2019-10-14 11:54:43	ga_s2am_ard_3-2-1_50JMT_2019-10-14_final
2019-10-24 11:54:44	ga_s2am_ard_3-2-1_50JMT_2019-10-24_final
2020-03-28 12:14:27	ga_s2am_ard_3-2-1_49JHN_2020-03-28_final
2020-05-31 11:55:16	ga_s2am_ard_3-2-1_50JMR_2020-05-31_final
2020-07-16 12:13:44	ga_s2am_ard_3-2-1_49KHS_2020-07-16_final.stac-item
2020-07-20 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2020-07-20_final
2020-08-29 11:54:45	ga_s2am_ard_3-2-1_50JMT_2020-08-29_final
2020-09-28 11:54:46	ga_s2am_ard_3-2-1_50JMT_2020-09-28_final
2020-10-08 11:54:46	ga_s2am_ard_3-2-1_50JMT_2020-10-08_final
2020-10-11 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-10-11_final
2020-10-31 12:04:41	ga_s2am_ard_3-2-1_50JMT_2020-10-31_final
2021-01-09 12:04:36	ga_s2am_ard_3-2-1_50JMT_2021-01-09_final
2021-02-28 12:04:35	ga_s2am_ard_3-2-1_50JMT_2021-02-28_final
2021-09-13 11:54:41	ga_s2am_ard_3-2-1_50JMT_2021-09-13_final
2021-10-13 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2021-10-13_final
2021-10-23 11:54:46	ga_s2am_ard_3-2-1_50JMT_2021-10-23_final
2021-10-23 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2021-10-23_final
2021-11-02 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2021-11-02_final
2021-11-05 12:04:39	ga_s2am_ard_3-2-1_50JMT_2021-11-05_final
2021-11-12 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-11-12_final.stac-item
2021-11-15 12:04:37	ga_s2am_ard_3-2-1_50JMT_2021-11-15_final
2021-11-25 12:04:36	ga_s2am_ard_3-2-1_50JMT_2021-11-25_final
2021-12-15 12:04:35	ga_s2am_ard_3-2-1_50JMT_2021-12-15_final
2021-12-25 12:04:37	ga_s2am_ard_3-2-1_50JMT_2021-12-25_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMG_2022-04-11_final.stac-item
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
2022-05-24 12:04:40	ga_s2am_ard_3-2-1_49JHN_2022-05-24_final
2022-06-23 12:04:49	ga_s2am_ard_3-2-1_50JMT_2022-06-23_final
2022-06-30 11:54:53	ga_s2am_ard_3-2-1_50JMT_2022-06-30_final
2022-07-03 12:05:01	ga_s2am_ard_3-2-1_50JMS_2022-07-03_final
2022-08-09 11:54:52	ga_s2am_ard_3-2-1_50JMT_2022-08-09_final
2022-10-18 11:54:43	ga_s2am_ard_3-2-1_50JMT_2022-10-18_final.stac-item
2022-10-21 12:04:37	ga_s2am_ard_3-2-1_50JMT_2022-10-21_final.stac-item
2022-11-20 12:04:36	ga_s2am_ard_3-2-1_50JMT_2022-11-20_final.stac-item
2022-11-27 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2022-11-27_final.stac-item
2022-11-30 12:04:36	ga_s2am_ard_3-2-1_50JMT_2022-11-30_final.stac-item
2022-12-10 12:04:36	ga_s2am_ard_3-2-1_50JMT_2022-12-10_final.stac-item
2023-02-08 12:04:34	ga_s2am_ard_3-2-1_50JMT_2023-02-08_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 11:54:39	ga_s2am_ard_3-2-1_50JMT_2023-03-27_final.stac-item
2023-04-09 12:04:31	ga_s2am_ard_3-2-1_50JMT_2023-04-09_final.stac-item
2023-04-29 12:04:36	ga_s2am_ard_3-2-1_50JMT_2023-04-29_final.stac-item
2023-05-06 11:54:44	ga_s2am_ard_3-2-1_50JLT_2023-05-06_final.stac-item
2023-05-09 12:04:35	ga_s2am_ard_3-2-1_50JMT_2023-05-09_final.stac-item
2023-05-26 11:54:44	ga_s2am_ard_3-2-1_50JMT_2023-05-26_final.stac-item
2023-06-05 11:54:48	ga_s2am_ard_3-2-1_50JLT_2023-06-05_final.stac-item
2023-06-25 11:54:43	ga_s2am_ard_3-2-1_50JMT_2023-06-25_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 11:54:45	ga_s2am_ard_3-2-1_50JMT_2023-07-15_final.stac-item
2023-10-03 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2023-10-03_final.stac-item
2023-10-23 11:54:40	ga_s2am_ard_3-2-1_50JMT_2023-10-23_final.stac-item
2023-10-26 12:04:36	ga_s2am_ard_3-2-1_50JMT_2023-10-26_final.stac-item
2023-11-05 12:04:35	ga_s2am_ard_3-2-1_50JMT_2023-11-05_final.stac-item
2023-11-15 12:04:34	ga_s2am_ard_3-2-1_50JMT_2023-11-15_final.stac-item
2023-12-05 12:04:29	ga_s2am_ard_3-2-1_50JMT_2023-12-05_final.stac-item
2023-12-25 12:04:32	ga_s2am_ard_3-2-1_50JMT_2023-12-25_final.stac-item
2024-02-10 11:55:11	ga_s2am_ard_3-2-1_50JMR_2024-02-10_final.stac-item
2024-05-03 12:04:51	ga_s2am_ard_3-2-1_50JMS_2024-05-03_final.stac-item
2024-05-13 12:04:52	ga_s2am_ard_3-2-1_50JMS_2024-05-13_final.stac-item
2024-05-20 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2024-05-20_final.stac-item
2024-05-23 12:04:48	ga_s2am_ard_3-2-1_50JMS_2024-05-23_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

All years