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_50JLQ_2015-10-28_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JKT_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLQ_2016-02-05_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50HQH_2016-05-09_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLR_2016-06-11_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_50JKR_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
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKR_2016-07-14_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JKR_2016-08-13_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HQH_2016-09-26_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HNG_2016-11-22_final.stac-item
2017-03-21 12:04:34	ga_s2am_ard_3-2-1_50JLQ_2017-03-21_final
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_50JKQ_2017-04-10_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JHN_2017-04-30_final
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49KHQ_2017-05-13_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JLQ_2017-05-17_final
2017-05-20 12:03:50	ga_s2am_ard_3-2-1_49KHQ_2017-05-20_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JLQ_2017-06-06_final
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JKQ_2017-06-29_final
2017-07-12 12:13:35	ga_s2am_ard_3-2-1_49KHP_2017-07-12_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KHP_2017-10-20_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HLG_2017-10-24_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHP_2017-12-19_final
2018-01-26 11:36:13	ga_s2am_ard_3-2-1_50HNG_2018-01-26_final.stac-item
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHP_2018-01-28_final
2018-02-27 12:13:18	ga_s2am_ard_3-2-1_49KHP_2018-02-27_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JLR_2018-03-26_final
2018-03-29 12:13:20	ga_s2am_ard_3-2-1_49KHP_2018-03-29_final
2018-04-18 12:13:22	ga_s2am_ard_3-2-1_49KHP_2018-04-18_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHP_2018-05-08_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49KHP_2018-05-18_final
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHS_2018-06-27_final.stac-item
2018-07-27 12:13:47	ga_s2am_ard_3-2-1_49KHP_2018-07-27_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHS_2018-09-05_final.stac-item
2018-09-25 12:13:53	ga_s2am_ard_3-2-1_49KHQ_2018-09-25_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49KHS_2018-11-01_final.stac-item
2018-11-15 11:47:22	ga_s2am_ard_3-2-1_50HLG_2018-11-15_final.stac-item
2018-12-05 11:47:12	ga_s2am_ard_3-2-1_50HNG_2018-12-05_final.stac-item
2018-12-24 12:14:13	ga_s2am_ard_3-2-1_49KHP_2018-12-24_final
2019-01-03 12:14:15	ga_s2am_ard_3-2-1_49KHP_2019-01-03_final
2019-02-06 11:55:09	ga_s2am_ard_3-2-1_50JLR_2019-02-06_final
2019-02-19 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2019-02-19_final
2019-02-26 11:55:08	ga_s2am_ard_3-2-1_50JLR_2019-02-26_final
2019-03-18 11:57:17	ga_s2am_ard_3-2-1_50HMG_2019-03-18_final.stac-item
2019-03-24 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-03-24_final
2019-06-23 11:47:32	ga_s2am_ard_3-2-1_50HLG_2019-06-23_final.stac-item
2019-07-09 12:03:49	ga_s2am_ard_3-2-1_49KHS_2019-07-09_final.stac-item
2019-07-29 12:05:31	ga_s2am_ard_3-2-1_50JLQ_2019-07-29_final
2019-08-12 11:46:57	ga_s2am_ard_3-2-1_50HQH_2019-08-12_final
2019-08-12 11:47:24	ga_s2am_ard_3-2-1_50HNG_2019-08-12_final.stac-item
2019-08-22 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-08-22_final
2019-08-22 11:47:30	ga_s2am_ard_3-2-1_50HLG_2019-08-22_final.stac-item
2019-08-25 11:55:29	ga_s2am_ard_3-2-1_50JLQ_2019-08-25_final
2019-09-01 11:46:54	ga_s2am_ard_3-2-1_50HQH_2019-09-01_final
2019-09-07 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-09-07_final.stac-item
2019-10-14 11:55:16	ga_s2am_ard_3-2-1_50JLR_2019-10-14_final
2019-10-27 12:05:12	ga_s2am_ard_3-2-1_49JFM_2019-10-27_final
2019-11-10 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-11-10_final
2019-11-13 11:55:15	ga_s2am_ard_3-2-1_50JLR_2019-11-13_final
2019-12-03 11:55:11	ga_s2am_ard_3-2-1_50JLR_2019-12-03_final
2020-01-06 11:37:12	ga_s2am_ard_3-2-1_50HQG_2020-01-06_final.stac-item
2020-01-25 12:05:01	ga_s2am_ard_3-2-1_50JLR_2020-01-25_final
2020-02-18 11:46:37	ga_s2am_ard_3-2-1_50HNJ_2020-02-18_final
2020-03-02 11:55:08	ga_s2am_ard_3-2-1_50JLR_2020-03-02_final
2020-05-01 11:57:26	ga_s2am_ard_3-2-1_50HLG_2020-05-01_final.stac-item
2020-05-18 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-05-18_final
2020-08-16 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-08-16_final.stac-item
2020-09-21 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-09-21_final
2020-10-11 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-10-11_final.stac-item
2020-10-14 12:14:27	ga_s2am_ard_3-2-1_49KHP_2020-10-14_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
2022-01-11 11:55:14	ga_s2am_ard_3-2-1_50JLR_2022-01-11_final
2022-01-21 11:55:12	ga_s2am_ard_3-2-1_50JLR_2022-01-21_final
2022-01-24 12:05:08	ga_s2am_ard_3-2-1_50JLR_2022-01-24_final
2022-01-27 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-01-27_final
2022-03-05 12:05:13	ga_s2am_ard_3-2-1_50JLR_2022-03-05_final
2022-03-22 11:55:16	ga_s2am_ard_3-2-1_50JLR_2022-03-22_final
2022-04-08 11:46:54	ga_s2am_ard_3-2-1_50HQH_2022-04-08_final
2022-05-05 11:37:31	ga_s2am_ard_3-2-1_50HNG_2022-05-05_final.stac-item
2022-05-28 11:47:28	ga_s2am_ard_3-2-1_50HNG_2022-05-28_final.stac-item
2022-08-25 12:14:33	ga_s2am_ard_3-2-1_49KHP_2022-08-25_final.stac-item
2022-10-04 12:13:47	ga_s2am_ard_3-2-1_49KHS_2022-10-04_final.stac-item
2022-10-21 12:05:10	ga_s2am_ard_3-2-1_50JLR_2022-10-21_final.stac-item
2022-11-03 12:14:25	ga_s2am_ard_3-2-1_49KHP_2022-11-03_final.stac-item
2022-11-23 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-11-23_final.stac-item
2022-12-03 12:14:21	ga_s2am_ard_3-2-1_49KHP_2022-12-03_final.stac-item
2022-12-17 11:55:12	ga_s2am_ard_3-2-1_50JLR_2022-12-17_final.stac-item
2023-03-27 11:55:11	ga_s2am_ard_3-2-1_50JLR_2023-03-27_final.stac-item
2023-06-11 12:14:25	ga_s2am_ard_3-2-1_49KHP_2023-06-11_final.stac-item
2023-08-27 12:03:50	ga_s2am_ard_3-2-1_49KHS_2023-08-27_final.stac-item
2023-11-15 12:05:07	ga_s2am_ard_3-2-1_50JLR_2023-11-15_final.stac-item
2023-12-15 12:05:04	ga_s2am_ard_3-2-1_50JLR_2023-12-15_final.stac-item
2023-12-15 12:05:08	ga_s2am_ard_3-2-1_50JKR_2023-12-15_final.stac-item
2024-01-14 12:05:02	ga_s2am_ard_3-2-1_50JLR_2024-01-14_final.stac-item
2024-02-03 12:05:04	ga_s2am_ard_3-2-1_50JLR_2024-02-03_final.stac-item
2024-03-17 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-17_final.stac-item
2024-04-07 11:46:52	ga_s2am_ard_3-2-1_50HQH_2024-04-07_final.stac-item
2024-04-17 11:46:56	ga_s2am_ard_3-2-1_50HQH_2024-04-17_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