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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KHQ_2015-10-21_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JLS_2015-10-28_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JLQ_2015-11-27_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLS_2015-12-04_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JLT_2015-12-04_final.stac-item
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50HQK_2015-12-18_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JLR_2016-03-03_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLS_2016-04-15_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLR_2016-06-11_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_50JLQ_2016-09-22_final.stac-item
2016-09-29 11:56:03	ga_s2am_ard_3-2-1_50HMJ_2016-09-29_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JLQ_2016-10-12_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHP_2016-11-04_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_49KHP_2016-11-14_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2016-12-14 12:13:17	ga_s2am_ard_3-2-1_49KHP_2016-12-14_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JLS_2017-03-11_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_50JLR_2017-03-31_final.stac-item
2017-04-01 11:34:45	ga_s2am_ard_3-2-1_50HQG_2017-04-01_final.stac-item
2017-07-19 12:04:43	ga_s2am_ard_3-2-1_50JLS_2017-07-19_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JLS_2017-10-24_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JKQ_2017-10-27_final
2017-10-30 12:13:43	ga_s2am_ard_3-2-1_49KHQ_2017-10-30_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_50JLT_2017-11-16_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_50JKQ_2017-12-06_final
2018-01-28 12:13:16	ga_s2am_ard_3-2-1_49KHP_2018-01-28_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JLS_2018-03-26_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JLR_2018-05-05_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50JLS_2018-05-05_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JLR_2018-06-01_final
2018-08-03 12:02:50	ga_s2am_ard_3-2-1_49KHS_2018-08-03_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50JLS_2018-08-23_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50JMP_2018-09-29_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JMP_2018-10-09_final
2018-12-28 11:54:37	ga_s2am_ard_3-2-1_50JLT_2018-12-28_final
2019-02-16 11:54:37	ga_s2am_ard_3-2-1_50JLT_2019-02-16_final
2019-03-15 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-03-15_final.stac-item
2019-03-31 12:05:12	ga_s2am_ard_3-2-1_50JLR_2019-03-31_final
2019-04-07 11:54:59	ga_s2am_ard_3-2-1_50JLS_2019-04-07_final
2019-04-07 11:55:06	ga_s2am_ard_3-2-1_50JLS_2019-04-07_final
2019-05-10 12:05:12	ga_s2am_ard_3-2-1_50JLR_2019-05-10_final
2019-05-27 11:57:23	ga_s2am_ard_3-2-1_50HMG_2019-05-27_final.stac-item
2019-06-06 11:54:46	ga_s2am_ard_3-2-1_50JLT_2019-06-06_final
2019-06-29 12:05:16	ga_s2am_ard_3-2-1_50JKR_2019-06-29_final
2019-07-29 12:05:13	ga_s2am_ard_3-2-1_49JFM_2019-07-29_final
2019-08-05 11:55:02	ga_s2am_ard_3-2-1_50JLS_2019-08-05_final
2019-08-12 11:47:31	ga_s2am_ard_3-2-1_50HLG_2019-08-12_final.stac-item
2019-08-22 11:47:30	ga_s2am_ard_3-2-1_50HLG_2019-08-22_final.stac-item
2019-11-23 11:55:13	ga_s2am_ard_3-2-1_50JLR_2019-11-23_final
2019-12-29 12:14:16	ga_s2am_ard_3-2-1_49KHP_2019-12-29_final
2020-01-02 11:55:07	ga_s2am_ard_3-2-1_50JLR_2020-01-02_final
2020-01-05 12:05:03	ga_s2am_ard_3-2-1_50JLR_2020-01-05_final
2020-01-12 11:55:07	ga_s2am_ard_3-2-1_50JLR_2020-01-12_final
2020-01-18 12:14:15	ga_s2am_ard_3-2-1_49KHP_2020-01-18_final
2020-02-01 11:55:05	ga_s2am_ard_3-2-1_50JLR_2020-02-01_final
2020-04-24 12:04:55	ga_s2am_ard_3-2-1_50JLS_2020-04-24_final
2020-04-24 12:05:10	ga_s2am_ard_3-2-1_50JLR_2020-04-24_final
2020-05-11 11:55:17	ga_s2am_ard_3-2-1_50JLR_2020-05-11_final
2020-05-21 11:55:18	ga_s2am_ard_3-2-1_50JLR_2020-05-21_final
2020-05-28 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-28_final.stac-item
2020-07-13 12:05:16	ga_s2am_ard_3-2-1_50JKR_2020-07-13_final
2020-08-02 12:04:59	ga_s2am_ard_3-2-1_50JLS_2020-08-02_final
2020-08-22 12:04:59	ga_s2am_ard_3-2-1_50JLS_2020-08-22_final
2020-09-18 11:55:02	ga_s2am_ard_3-2-1_50JLS_2020-09-18_final
2020-09-21 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-09-21_final
2021-02-11 12:13:38	ga_s2am_ard_3-2-1_49KHS_2021-02-11_final.stac-item
2021-02-15 11:57:22	ga_s2am_ard_3-2-1_50HLG_2021-02-15_final.stac-item
2021-03-24 11:47:19	ga_s2am_ard_3-2-1_50HNG_2021-03-24_final.stac-item
2021-05-26 11:54:58	ga_s2am_ard_3-2-1_50JLS_2021-05-26_final
2021-08-21 11:47:30	ga_s2am_ard_3-2-1_50HLG_2021-08-21_final.stac-item
2021-09-03 11:54:45	ga_s2am_ard_3-2-1_50JLT_2021-09-03_final
2021-10-07 11:37:17	ga_s2am_ard_3-2-1_50HPG_2021-10-07_final.stac-item
2022-01-04 12:05:10	ga_s2am_ard_3-2-1_50JLR_2022-01-04_final
2022-01-11 11:55:14	ga_s2am_ard_3-2-1_50JLR_2022-01-11_final
2022-01-14 12:05:09	ga_s2am_ard_3-2-1_50JLR_2022-01-14_final
2022-01-21 11:55:12	ga_s2am_ard_3-2-1_50JLR_2022-01-21_final
2022-05-04 12:05:08	ga_s2am_ard_3-2-1_50JLR_2022-05-04_final
2022-06-23 12:04:45	ga_s2am_ard_3-2-1_50JLT_2022-06-23_final
2022-06-30 11:55:26	ga_s2am_ard_3-2-1_50JLR_2022-06-30_final
2022-08-19 11:55:10	ga_s2am_ard_3-2-1_50JLS_2022-08-19_final
2022-10-18 11:54:47	ga_s2am_ard_3-2-1_50JLT_2022-10-18_final.stac-item
2022-10-21 12:05:01	ga_s2am_ard_3-2-1_50JLS_2022-10-21_final.stac-item
2022-12-10 12:05:09	ga_s2am_ard_3-2-1_50JLR_2022-12-10_final.stac-item
2023-01-19 12:05:03	ga_s2am_ard_3-2-1_50JLR_2023-01-19_final.stac-item
2023-02-25 11:54:55	ga_s2am_ard_3-2-1_50JLS_2023-02-25_final.stac-item
2023-03-07 11:54:54	ga_s2am_ard_3-2-1_50JLS_2023-03-07_final.stac-item
2023-04-19 12:04:52	ga_s2am_ard_3-2-1_50JLS_2023-04-19_final.stac-item
2023-04-29 12:04:54	ga_s2am_ard_3-2-1_50JLS_2023-04-29_final.stac-item
2023-05-19 12:05:10	ga_s2am_ard_3-2-1_50JLR_2023-05-19_final.stac-item
2023-06-25 11:55:16	ga_s2am_ard_3-2-1_50JLR_2023-06-25_final.stac-item
2023-07-15 11:55:18	ga_s2am_ard_3-2-1_50JLR_2023-07-15_final.stac-item
2023-08-27 12:05:14	ga_s2am_ard_3-2-1_50JLR_2023-08-27_final.stac-item
2023-09-13 11:55:02	ga_s2am_ard_3-2-1_50JLS_2023-09-13_final.stac-item
2023-09-26 12:05:10	ga_s2am_ard_3-2-1_50JLR_2023-09-26_final.stac-item
2024-01-01 11:54:41	ga_s2am_ard_3-2-1_50JLT_2024-01-01_final.stac-item
2024-03-11 11:54:44	ga_s2am_ard_3-2-1_50JLT_2024-03-11_final.stac-item
2024-03-31 11:55:03	ga_s2am_ard_3-2-1_50JLS_2024-03-31_final.stac-item
2024-04-10 11:55:13	ga_s2am_ard_3-2-1_50JLR_2024-04-10_final.stac-item
2024-05-07 11:47:29	ga_s2am_ard_3-2-1_50HLG_2024-05-07_final.stac-item
2024-05-20 11:54:59	ga_s2am_ard_3-2-1_50JLS_2024-05-20_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