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
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HLG_2015-11-14_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_50JLQ_2015-12-07_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JKT_2016-02-05_final.stac-item
2016-03-06 12:04:37	ga_s2am_ard_3-2-1_50JLQ_2016-03-06_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHQ_2016-03-09_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JKT_2016-04-25_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_50JKR_2016-06-14_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKT_2016-06-14_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JLR_2016-06-14_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JLR_2016-06-24_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-08-13_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JLQ_2016-08-13_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JLQ_2016-09-12_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JLQ_2016-11-21_final.stac-item
2016-12-04 12:13:41	ga_s2am_ard_3-2-1_49KHP_2016-12-04_final.stac-item
2016-12-24 12:13:15	ga_s2am_ard_3-2-1_49KHP_2016-12-24_final
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49KHP_2017-01-03_final
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_50JLQ_2017-03-21_final
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KHP_2017-05-13_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JLQ_2017-05-17_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKR_2017-06-19_final
2017-09-17 12:04:38	ga_s2am_ard_3-2-1_50JLR_2017-09-17_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50HLG_2017-11-20_final.stac-item
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_50JLR_2017-12-06_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50HLG_2017-12-10_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-12-19_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HLG_2017-12-30_final.stac-item
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HLG_2018-02-08_final.stac-item
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-27_final
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKR_2018-03-16_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HLG_2018-03-30_final.stac-item
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49KHP_2018-04-08_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KHP_2018-04-18_final
2018-04-28 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-04-28_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KHP_2018-06-17_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49KHS_2018-08-23_final.stac-item
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLS_2018-10-09_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLS_2018-10-19_final
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50JLS_2018-10-29_final
2018-11-28 11:55:04	ga_s2am_ard_3-2-1_50JLR_2018-11-28_final
2018-12-04 12:14:23	ga_s2am_ard_3-2-1_49JHN_2018-12-04_final
2019-01-27 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2019-01-27_final
2019-02-19 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2019-02-19_final
2019-04-20 12:04:57	ga_s2am_ard_3-2-1_50JLS_2019-04-20_final
2019-05-14 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-05-14_final.stac-item
2019-05-20 12:04:57	ga_s2am_ard_3-2-1_50JLS_2019-05-20_final
2019-06-13 11:47:24	ga_s2am_ard_3-2-1_50HNG_2019-06-13_final.stac-item
2019-06-23 11:47:32	ga_s2am_ard_3-2-1_50HLG_2019-06-23_final.stac-item
2019-09-14 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2019-09-14_final
2019-10-14 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-10-14_final
2019-10-17 12:05:11	ga_s2am_ard_3-2-1_50JLR_2019-10-17_final
2019-10-21 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-10-21_final
2019-10-21 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-10-21_final.stac-item
2019-11-03 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2019-11-03_final
2019-11-06 12:05:11	ga_s2am_ard_3-2-1_50JLR_2019-11-06_final
2020-01-08 12:14:16	ga_s2am_ard_3-2-1_49KHP_2020-01-08_final
2020-02-01 11:55:20	ga_s2am_ard_3-2-1_50JLQ_2020-02-01_final
2020-03-05 12:04:49	ga_s2am_ard_3-2-1_50JLS_2020-03-05_final
2020-04-08 11:47:20	ga_s2am_ard_3-2-1_50HLG_2020-04-08_final.stac-item
2020-04-11 11:57:19	ga_s2am_ard_3-2-1_50HMG_2020-04-11_final.stac-item
2020-05-14 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-05-14_final
2020-05-31 11:55:19	ga_s2am_ard_3-2-1_50JLR_2020-05-31_final
2020-08-26 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-08-26_final
2020-09-04 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-09-04_final
2020-09-05 11:47:32	ga_s2am_ard_3-2-1_50HLG_2020-09-05_final.stac-item
2020-09-18 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2020-09-18_final
2020-09-28 11:55:03	ga_s2am_ard_3-2-1_50JLS_2020-09-28_final
2020-10-01 12:04:59	ga_s2am_ard_3-2-1_50JLS_2020-10-01_final
2020-10-28 11:55:18	ga_s2am_ard_3-2-1_50JLR_2020-10-28_final
2020-10-31 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-10-31_final
2020-11-03 12:14:26	ga_s2am_ard_3-2-1_49KHP_2020-11-03_final
2021-03-24 11:47:26	ga_s2am_ard_3-2-1_50HLG_2021-03-24_final.stac-item
2021-04-02 12:14:15	ga_s2am_ard_3-2-1_49KHP_2021-04-02_final
2021-05-16 11:54:58	ga_s2am_ard_3-2-1_50JLS_2021-05-16_final
2021-08-24 11:57:25	ga_s2am_ard_3-2-1_50HLG_2021-08-24_final.stac-item
2021-09-06 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-09-06_final
2021-11-02 11:55:02	ga_s2am_ard_3-2-1_50JLS_2021-11-02_final
2021-12-25 12:05:09	ga_s2am_ard_3-2-1_50JLR_2021-12-25_final
2022-01-24 12:05:08	ga_s2am_ard_3-2-1_50JLR_2022-01-24_final
2022-02-20 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2022-02-20_final
2022-03-09 11:47:25	ga_s2am_ard_3-2-1_50HMG_2022-03-09_final.stac-item
2022-03-12 11:55:17	ga_s2am_ard_3-2-1_50JLR_2022-03-12_final
2022-05-14 12:04:58	ga_s2am_ard_3-2-1_50JLS_2022-05-14_final
2022-06-03 12:05:01	ga_s2am_ard_3-2-1_50JLS_2022-06-03_final
2022-06-13 12:05:18	ga_s2am_ard_3-2-1_50JLR_2022-06-13_final
2022-06-23 12:05:20	ga_s2am_ard_3-2-1_50JLR_2022-06-23_final
2022-08-22 12:05:06	ga_s2am_ard_3-2-1_50JLS_2022-08-22_final
2022-11-20 12:05:09	ga_s2am_ard_3-2-1_50JLR_2022-11-20_final.stac-item
2023-02-01 12:13:38	ga_s2am_ard_3-2-1_49KHS_2023-02-01_final.stac-item
2023-03-07 11:57:16	ga_s2am_ard_3-2-1_50HMG_2023-03-07_final.stac-item
2023-03-27 11:55:11	ga_s2am_ard_3-2-1_50JLR_2023-03-27_final.stac-item
2023-04-23 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-04-23_final.stac-item
2023-05-06 11:54:58	ga_s2am_ard_3-2-1_50JLS_2023-05-06_final.stac-item
2023-05-29 12:04:57	ga_s2am_ard_3-2-1_50JLS_2023-05-29_final.stac-item
2023-06-28 12:05:27	ga_s2am_ard_3-2-1_50JLQ_2023-06-28_final.stac-item
2023-08-21 11:46:59	ga_s2am_ard_3-2-1_50HQH_2023-08-21_final.stac-item
2023-10-06 12:05:09	ga_s2am_ard_3-2-1_50JLR_2023-10-06_final.stac-item
2024-03-31 11:55:03	ga_s2am_ard_3-2-1_50JLR_2024-03-31_final.stac-item
2024-04-26 12:14:23	ga_s2am_ard_3-2-1_49KHP_2024-04-26_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