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
2015-11-30 12:14:12	ga_s2am_ard_3-2-1_49KHP_2015-11-30_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HLH_2016-02-19_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HLG_2016-03-20_final.stac-item
2016-03-29 12:13:41	ga_s2am_ard_3-2-1_49KHQ_2016-03-29_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2016-04-18_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-08_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JHN_2016-06-14_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKQ_2016-08-13_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50JLM_2016-10-02_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HLG_2016-11-15_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_50JLQ_2016-12-01_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLG_2017-01-14_final.stac-item
2017-01-24 11:44:18	ga_s2am_ard_3-2-1_50HLG_2017-01-24_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HNG_2017-03-05_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JLQ_2017-04-30_final
2017-09-18 11:36:00	ga_s2am_ard_3-2-1_50HQK_2017-09-18_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50JLT_2017-11-13_final
2017-12-07 11:35:58	ga_s2am_ard_3-2-1_50HQK_2017-12-07_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLG_2017-12-30_final.stac-item
2018-04-15 12:02:50	ga_s2am_ard_3-2-1_50JKQ_2018-04-15_final.stac-item
2018-04-29 11:45:33	ga_s2am_ard_3-2-1_50HLG_2018-04-29_final.stac-item
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HLG_2018-07-08_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HLG_2018-07-11_final.stac-item
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLT_2018-07-11_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JLT_2018-08-20_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLG_2018-09-06_final.stac-item
2019-02-03 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-02-03_final.stac-item
2019-02-13 11:47:23	ga_s2am_ard_3-2-1_50HLG_2019-02-13_final.stac-item
2019-02-26 11:54:40	ga_s2am_ard_3-2-1_50JLT_2019-02-26_final
2019-03-05 11:47:22	ga_s2am_ard_3-2-1_50HLG_2019-03-05_final.stac-item
2019-04-04 11:47:28	ga_s2am_ard_3-2-1_50HLG_2019-04-04_final.stac-item
2019-04-07 11:54:45	ga_s2am_ard_3-2-1_50JLT_2019-04-07_final
2019-04-27 11:54:48	ga_s2am_ard_3-2-1_50JLT_2019-04-27_final
2019-05-14 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-05-14_final.stac-item
2019-06-03 11:47:30	ga_s2am_ard_3-2-1_50HLG_2019-06-03_final.stac-item
2019-06-06 11:55:47	ga_s2am_ard_3-2-1_50JMN_2019-06-06_final
2019-08-22 11:47:30	ga_s2am_ard_3-2-1_50HLG_2019-08-22_final.stac-item
2019-11-03 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2019-11-03_final
2019-11-13 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2019-11-13_final
2019-12-13 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2019-12-13_final
2020-01-02 11:55:18	ga_s2am_ard_3-2-1_50JMQ_2020-01-02_final
2020-01-22 11:55:17	ga_s2am_ard_3-2-1_50JMQ_2020-01-22_final
2020-02-14 12:04:24	ga_s2am_ard_3-2-1_50JLT_2020-02-14_final
2020-04-01 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2020-04-01_final
2020-04-11 11:55:22	ga_s2am_ard_3-2-1_50JMQ_2020-04-11_final
2020-04-11 11:57:19	ga_s2am_ard_3-2-1_50HMG_2020-04-11_final.stac-item
2020-04-21 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2020-04-21_final
2020-05-01 11:54:47	ga_s2am_ard_3-2-1_50JLT_2020-05-01_final
2020-05-11 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2020-05-11_final
2020-06-10 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2020-06-10_final
2020-06-20 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2020-06-20_final
2020-07-30 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2020-07-30_final
2020-09-08 11:54:48	ga_s2am_ard_3-2-1_50JLT_2020-09-08_final
2020-09-18 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2020-09-18_final
2020-10-18 11:55:30	ga_s2am_ard_3-2-1_50JMQ_2020-10-18_final
2020-10-28 11:55:29	ga_s2am_ard_3-2-1_50JMQ_2020-10-28_final
2020-11-07 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2020-11-07_final
2020-11-13 12:14:49	ga_s2am_ard_3-2-1_49JFN_2020-11-13_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
2020-12-17 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
2021-02-11 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-02-11_final.stac-item
2021-02-25 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-02-25_final
2021-03-23 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-03-23_final.stac-item
2021-04-16 11:55:18	ga_s2am_ard_3-2-1_50JMQ_2021-04-16_final
2021-04-23 11:47:23	ga_s2am_ard_3-2-1_50HLG_2021-04-23_final.stac-item
2021-04-26 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2021-04-26_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
2021-12-12 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2021-12-12_final
2021-12-22 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2021-12-22_final
2022-01-01 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2022-01-01_final
2022-01-11 11:55:25	ga_s2am_ard_3-2-1_50JMQ_2022-01-11_final
2022-01-21 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2022-01-21_final
2022-01-31 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2022-01-31_final
2022-02-10 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2022-02-10_final
2022-02-20 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2022-02-20_final
2022-03-12 11:55:28	ga_s2am_ard_3-2-1_50JMQ_2022-03-12_final
2022-03-22 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2022-03-22_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMG_2022-04-11_final.stac-item
2022-06-30 11:54:57	ga_s2am_ard_3-2-1_50JLT_2022-06-30_final
2022-07-26 12:13:50	ga_s2am_ard_3-2-1_49KHS_2022-07-26_final.stac-item
2022-10-11 12:05:57	ga_s2am_ard_3-2-1_50JLN_2022-10-11_final.stac-item
2023-01-26 13:31:30	ga_s2am_ard_3-2-1_47LKH_2023-01-26_interim.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
2023-03-07 11:55:20	ga_s2am_ard_3-2-1_50JMQ_2023-03-07_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
2023-07-15 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
2023-08-14 11:54:50	ga_s2am_ard_3-2-1_50JLT_2023-08-14_final.stac-item
2023-08-21 11:47:33	ga_s2am_ard_3-2-1_50HLG_2023-08-21_final.stac-item
2023-11-02 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2023-11-02_final.stac-item
2024-03-08 11:47:25	ga_s2am_ard_3-2-1_50HMG_2024-03-08_final.stac-item
2024-04-04 11:36:23	ga_s2am_ard_3-2-1_50HQK_2024-04-04_final.stac-item
2024-04-27 11:47:29	ga_s2am_ard_3-2-1_50HLG_2024-04-27_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