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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JMP_2015-12-04_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHQ_2015-12-30_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JLS_2016-02-02_final.stac-item
2016-06-14 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-06-14_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLQ_2016-08-30_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HQH_2016-09-06_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2016-09-12_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KHS_2016-10-05_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HQG_2016-11-02_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JLQ_2016-11-11_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2016-11-21_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HQK_2016-11-22_final.stac-item
2016-12-21 12:02:43	ga_s2am_ard_3-2-1_50JKS_2016-12-21_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JLT_2017-03-11_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49KHS_2017-06-19_final.stac-item
2017-08-28 12:04:42	ga_s2am_ard_3-2-1_50JKT_2017-08-28_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49KGQ_2017-10-17_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JKS_2017-10-27_final
2017-12-06 12:04:36	ga_s2am_ard_3-2-1_50JKS_2017-12-06_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HQH_2018-02-28_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHS_2018-03-09_final.stac-item
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HMK_2018-03-10_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_49JHM_2018-05-05_final
2018-05-08 12:13:24	ga_s2am_ard_3-2-1_49KHQ_2018-05-08_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HQH_2018-05-19_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HNG_2018-07-05_final.stac-item
2018-09-25 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2018-09-25_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JLT_2018-10-12_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-10-15_final.stac-item
2018-10-29 11:49:24	ga_s2am_ard_3-2-1_50JLT_2018-10-29_final
2018-11-25 11:47:13	ga_s2am_ard_3-2-1_50HNG_2018-11-25_final.stac-item
2018-12-11 12:04:19	ga_s2am_ard_3-2-1_49KHP_2018-12-11_final
2019-01-17 11:54:40	ga_s2am_ard_3-2-1_50JLT_2019-01-17_final
2019-01-17 11:55:35	ga_s2am_ard_3-2-1_50JMP_2019-01-17_final
2019-02-06 11:55:06	ga_s2am_ard_3-2-1_50JMR_2019-02-06_final
2019-02-09 12:05:09	ga_s2am_ard_3-2-1_50JKR_2019-02-09_final
2019-04-07 11:55:40	ga_s2am_ard_3-2-1_50JMP_2019-04-07_final
2019-04-20 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-04-20_final
2019-04-24 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-04-24_final
2019-05-30 12:04:42	ga_s2am_ard_3-2-1_50JLT_2019-05-30_final
2019-07-03 11:46:58	ga_s2am_ard_3-2-1_50HQH_2019-07-03_final
2019-08-12 11:47:18	ga_s2am_ard_3-2-1_50HLH_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 11:47:16	ga_s2am_ard_3-2-1_50HLH_2019-08-22_final
2019-10-04 11:55:00	ga_s2am_ard_3-2-1_50JLS_2019-10-04_final
2019-11-03 11:54:47	ga_s2am_ard_3-2-1_50JLT_2019-11-03_final
2019-11-23 11:57:24	ga_s2am_ard_3-2-1_50HLG_2019-11-23_final.stac-item
2019-11-30 11:47:16	ga_s2am_ard_3-2-1_50HPG_2019-11-30_final.stac-item
2019-12-26 12:04:51	ga_s2am_ard_3-2-1_49JHM_2019-12-26_final
2020-05-04 12:05:12	ga_s2am_ard_3-2-1_49JFM_2020-05-04_final
2020-07-07 11:46:58	ga_s2am_ard_3-2-1_50HQH_2020-07-07_final
2020-07-30 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-30_final
2020-08-25 12:14:14	ga_s2am_ard_3-2-1_49KHQ_2020-08-25_final
2020-10-31 12:04:59	ga_s2am_ard_3-2-1_50JLS_2020-10-31_final
2020-12-07 11:54:55	ga_s2am_ard_3-2-1_50JLS_2020-12-07_final
2020-12-07 11:55:25	ga_s2am_ard_3-2-1_50JLQ_2020-12-07_final
2020-12-20 12:05:10	ga_s2am_ard_3-2-1_50JKR_2020-12-20_final
2021-01-26 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-01-26_final
2021-01-26 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-01-26_final
2021-01-26 11:55:39	ga_s2am_ard_3-2-1_50JMP_2021-01-26_final
2021-01-30 11:36:28	ga_s2am_ard_3-2-1_50HQK_2021-01-30_final
2021-03-10 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-03-10_final
2021-04-06 11:55:09	ga_s2am_ard_3-2-1_50JLR_2021-04-06_final
2021-05-06 11:55:26	ga_s2am_ard_3-2-1_50JLQ_2021-05-06_final
2021-06-25 11:55:14	ga_s2am_ard_3-2-1_50JLR_2021-06-25_final
2021-07-15 11:55:01	ga_s2am_ard_3-2-1_50JLS_2021-07-15_final
2021-09-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2021-09-06_final.stac-item
2021-09-13 11:55:13	ga_s2am_ard_3-2-1_50JLR_2021-09-13_final
2021-10-03 11:54:49	ga_s2am_ard_3-2-1_50JLT_2021-10-03_final
2021-10-06 12:04:44	ga_s2am_ard_3-2-1_50JLT_2021-10-06_final
2021-10-26 12:03:49	ga_s2am_ard_3-2-1_49KHS_2021-10-26_final.stac-item
2021-11-05 12:03:48	ga_s2am_ard_3-2-1_49KHS_2021-11-05_final.stac-item
2021-12-05 12:04:56	ga_s2am_ard_3-2-1_49JHM_2021-12-05_final
2021-12-15 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-12-15_final
2022-03-15 12:05:01	ga_s2am_ard_3-2-1_50JKS_2022-03-15_final
2022-04-21 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2022-04-21_final
2022-05-04 12:05:02	ga_s2am_ard_3-2-1_50JKS_2022-05-04_final
2022-06-13 12:04:43	ga_s2am_ard_3-2-1_50JLT_2022-06-13_final
2022-06-26 12:14:21	ga_s2am_ard_3-2-1_49KHQ_2022-06-26_final
2022-07-06 12:14:22	ga_s2am_ard_3-2-1_49KHQ_2022-07-06_final
2022-07-20 11:55:39	ga_s2am_ard_3-2-1_50JLQ_2022-07-20_final
2022-08-12 12:05:24	ga_s2am_ard_3-2-1_50JKR_2022-08-12_final
2022-09-21 12:04:41	ga_s2am_ard_3-2-1_49KHP_2022-09-21_final.stac-item
2022-11-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-11-10_final.stac-item
2023-01-12 12:14:19	ga_s2am_ard_3-2-1_49KHP_2023-01-12_final.stac-item
2023-03-04 11:46:50	ga_s2am_ard_3-2-1_50HQH_2023-03-04_final.stac-item
2023-04-26 11:55:09	ga_s2am_ard_3-2-1_50JMR_2023-04-26_final.stac-item
2023-06-08 12:05:00	ga_s2am_ard_3-2-1_49JHM_2023-06-08_final.stac-item
2023-06-11 12:13:44	ga_s2am_ard_3-2-1_49KHS_2023-06-11_final.stac-item
2023-09-10 11:47:22	ga_s2am_ard_3-2-1_50HPG_2023-09-10_final.stac-item
2023-11-02 11:57:21	ga_s2am_ard_3-2-1_50HLG_2023-11-02_final.stac-item
2023-11-15 12:04:52	ga_s2am_ard_3-2-1_50JLS_2023-11-15_final.stac-item
2023-11-22 11:55:06	ga_s2am_ard_3-2-1_50JMR_2023-11-22_final.stac-item
2023-12-05 12:04:47	ga_s2am_ard_3-2-1_50JLS_2023-12-05_final.stac-item
2024-01-04 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2024-01-04_final.stac-item
2024-01-07 12:14:17	ga_s2am_ard_3-2-1_49KHP_2024-01-07_final.stac-item
2024-02-06 12:14:17	ga_s2am_ard_3-2-1_49KHP_2024-02-06_final.stac-item
2024-03-17 12:14:21	ga_s2am_ard_3-2-1_49KHP_2024-03-17_final.stac-item
2024-03-24 12:04:40	ga_s2am_ard_3-2-1_50JLT_2024-03-24_final.stac-item
2024-03-24 12:05:13	ga_s2am_ard_3-2-1_50JKR_2024-03-24_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