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
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_50HQK_2015-09-09_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50JLR_2015-10-28_final.stac-item
2015-12-07 12:04:41	ga_s2am_ard_3-2-1_49JHN_2015-12-07_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLR_2015-12-17_final.stac-item
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50HQK_2015-12-18_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JLR_2015-12-27_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JHN_2016-02-05_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JLR_2016-02-05_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_50JLR_2016-04-15_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_49KHQ_2016-04-18_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JLR_2016-08-13_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JLR_2016-08-23_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKR_2016-09-02_final.stac-item
2016-10-12 12:04:37	ga_s2am_ard_3-2-1_50JKQ_2016-10-12_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_50JLR_2016-11-11_final.stac-item
2016-11-18 11:54:00	ga_s2am_ard_3-2-1_50JLR_2016-11-18_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_50JLR_2016-11-21_final.stac-item
2016-12-01 12:03:46	ga_s2am_ard_3-2-1_50JLQ_2016-12-01_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JLR_2016-12-28_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50JLR_2016-12-31_final
2017-01-07 11:50:33	ga_s2am_ard_3-2-1_50JLR_2017-01-07_final
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HLG_2017-01-14_final.stac-item
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_49JHN_2017-03-01_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_50JLR_2017-04-20_final.stac-item
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JHN_2017-04-30_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JKQ_2017-04-30_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JKT_2017-04-30_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JLQ_2017-04-30_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_50JLR_2017-04-30_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_50JLR_2017-05-30_final
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_50JLR_2017-06-09_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HLG_2017-06-13_final.stac-item
2017-06-29 12:04:40	ga_s2am_ard_3-2-1_50JKQ_2017-06-29_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_50JKR_2017-07-09_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KHP_2017-09-30_final
2017-10-20 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2017-10-20_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JLR_2017-11-13_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KHS_2018-08-06_final.stac-item
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HLG_2018-09-06_final.stac-item
2019-01-27 11:55:09	ga_s2am_ard_3-2-1_50JLR_2019-01-27_final
2019-02-03 11:47:24	ga_s2am_ard_3-2-1_50HLG_2019-02-03_final.stac-item
2019-02-12 12:14:18	ga_s2am_ard_3-2-1_49KHP_2019-02-12_final
2019-02-16 11:55:09	ga_s2am_ard_3-2-1_50JLR_2019-02-16_final
2019-03-18 11:55:10	ga_s2am_ard_3-2-1_50JLR_2019-03-18_final
2019-04-10 12:05:10	ga_s2am_ard_3-2-1_50JLR_2019-04-10_final
2019-04-23 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-04-23_final
2019-05-03 12:14:25	ga_s2am_ard_3-2-1_49KHP_2019-05-03_final
2019-07-12 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-12_final
2019-08-01 12:14:21	ga_s2am_ard_3-2-1_49KHP_2019-08-01_final
2019-08-11 12:14:25	ga_s2am_ard_3-2-1_49KHP_2019-08-11_final
2019-08-18 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-08-18_final
2019-08-21 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-08-21_final
2019-09-10 12:14:20	ga_s2am_ard_3-2-1_49KHP_2019-09-10_final
2019-09-20 12:14:21	ga_s2am_ard_3-2-1_49KHP_2019-09-20_final
2019-09-30 12:13:41	ga_s2am_ard_3-2-1_49KHS_2019-09-30_final.stac-item
2019-09-30 12:14:22	ga_s2am_ard_3-2-1_49KHP_2019-09-30_final
2019-10-10 12:14:23	ga_s2am_ard_3-2-1_49KHP_2019-10-10_final
2019-10-27 12:05:15	ga_s2am_ard_3-2-1_50JLR_2019-10-27_final
2019-10-30 12:14:24	ga_s2am_ard_3-2-1_49KHP_2019-10-30_final
2019-11-30 11:47:23	ga_s2am_ard_3-2-1_50HMG_2019-11-30_final.stac-item
2020-03-12 11:57:19	ga_s2am_ard_3-2-1_50HLG_2020-03-12_final.stac-item
2020-04-08 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-04-08_final.stac-item
2020-04-18 11:47:28	ga_s2am_ard_3-2-1_50HLG_2020-04-18_final.stac-item
2020-05-14 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-05-14_final
2020-06-03 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-06-03_final
2020-07-03 12:05:13	ga_s2am_ard_3-2-1_50JLR_2020-07-03_final
2020-07-13 12:05:12	ga_s2am_ard_3-2-1_50JLR_2020-07-13_final
2020-07-13 12:05:16	ga_s2am_ard_3-2-1_50JKR_2020-07-13_final
2020-07-16 12:13:44	ga_s2am_ard_3-2-1_49KHS_2020-07-16_final.stac-item
2020-08-02 12:05:14	ga_s2am_ard_3-2-1_50JLR_2020-08-02_final
2020-11-03 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-11-03_final.stac-item
2021-03-04 11:47:27	ga_s2am_ard_3-2-1_50HLG_2021-03-04_final.stac-item
2021-04-19 12:05:10	ga_s2am_ard_3-2-1_50JKR_2021-04-19_final
2021-08-11 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-11_final.stac-item
2021-11-22 11:57:23	ga_s2am_ard_3-2-1_50HLG_2021-11-22_final.stac-item
2022-03-22 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2022-03-22_final
2022-04-11 11:57:16	ga_s2am_ard_3-2-1_50HMG_2022-04-11_final.stac-item
2022-05-04 12:05:09	ga_s2am_ard_3-2-1_50JKR_2022-05-04_final
2022-05-04 12:05:14	ga_s2am_ard_3-2-1_50JLR_2022-05-04_final
2022-06-03 12:05:16	ga_s2am_ard_3-2-1_50JLR_2022-06-03_final
2022-06-20 11:55:10	ga_s2am_ard_3-2-1_50JLS_2022-06-20_final
2023-02-15 11:55:10	ga_s2am_ard_3-2-1_50JLR_2023-02-15_final.stac-item
2023-02-18 12:05:05	ga_s2am_ard_3-2-1_50JLR_2023-02-18_final.stac-item
2023-02-25 11:55:10	ga_s2am_ard_3-2-1_50JLR_2023-02-25_final.stac-item
2023-03-07 11:55:09	ga_s2am_ard_3-2-1_50JLR_2023-03-07_final.stac-item
2023-03-10 12:05:03	ga_s2am_ard_3-2-1_50JLR_2023-03-10_final.stac-item
2023-03-20 12:05:06	ga_s2am_ard_3-2-1_50JLR_2023-03-20_final.stac-item
2023-05-16 11:54:59	ga_s2am_ard_3-2-1_50JLS_2023-05-16_final.stac-item
2023-05-26 11:55:01	ga_s2am_ard_3-2-1_50JLS_2023-05-26_final.stac-item
2023-06-15 11:55:02	ga_s2am_ard_3-2-1_50JLS_2023-06-15_final.stac-item
2023-06-28 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-06-28_final.stac-item
2023-07-08 12:04:59	ga_s2am_ard_3-2-1_50JLS_2023-07-08_final.stac-item
2023-07-08 12:05:13	ga_s2am_ard_3-2-1_50JLR_2023-07-08_final.stac-item
2023-08-04 11:55:03	ga_s2am_ard_3-2-1_50JLS_2023-08-04_final.stac-item
2023-09-19 12:13:42	ga_s2am_ard_3-2-1_49KHS_2023-09-19_final.stac-item
2023-11-02 11:57:19	ga_s2am_ard_3-2-1_50HMG_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
2024-03-24 12:05:09	ga_s2am_ard_3-2-1_50JLR_2024-03-24_final.stac-item
2024-04-10 11:56:30	ga_s2am_ard_3-2-1_50HLK_2024-04-10_final.stac-item
2024-05-03 12:05:11	ga_s2am_ard_3-2-1_50JLR_2024-05-03_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