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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49JHN_2015-10-08_final.stac-item
2015-11-27 12:04:51	ga_s2am_ard_3-2-1_50JKQ_2015-11-27_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHS_2016-04-15_final.stac-item
2016-06-27 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2016-06-27_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKQ_2016-07-14_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLQ_2016-08-30_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2016-09-12_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49KGQ_2016-10-05_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JKQ_2016-10-22_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHS_2016-12-11_final.stac-item
2017-01-14 11:45:31	ga_s2am_ard_3-2-1_50HMK_2017-01-14_final
2017-04-30 12:04:44	ga_s2am_ard_3-2-1_49JHM_2017-04-30_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HLK_2017-05-27_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HMJ_2017-05-27_final
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49JHM_2017-05-30_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGK_2017-06-19_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JLQ_2017-09-14_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JKS_2017-10-27_final
2017-11-16 12:03:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-16_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_50JLQ_2017-11-26_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-11-29_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHS_2017-12-16_final.stac-item
2018-01-02 11:56:01	ga_s2am_ard_3-2-1_50HMK_2018-01-02_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHQ_2018-03-19_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-03-19_final.stac-item
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGN_2018-03-26_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_50JKS_2018-03-26_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_50JLQ_2018-04-15_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49KGQ_2018-07-14_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLQ_2018-07-21_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49KHP_2018-09-02_final
2019-01-10 12:04:52	ga_s2am_ard_3-2-1_49JHM_2019-01-10_final
2019-01-30 12:04:54	ga_s2am_ard_3-2-1_49JHM_2019-01-30_final
2019-02-19 12:06:00	ga_s2am_ard_3-2-1_50JLM_2019-02-19_final
2019-04-10 12:05:24	ga_s2am_ard_3-2-1_50JLQ_2019-04-10_final
2019-04-20 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2019-04-20_final
2019-04-30 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-04-30_final
2019-05-10 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2019-05-10_final
2019-05-27 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-05-27_final
2019-05-30 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2019-05-30_final
2019-06-03 11:46:56	ga_s2am_ard_3-2-1_50HQH_2019-06-03_final
2019-07-02 12:14:26	ga_s2am_ard_3-2-1_49KHP_2019-07-02_final
2019-07-03 11:46:58	ga_s2am_ard_3-2-1_50HQH_2019-07-03_final
2019-07-06 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2019-07-06_final
2019-07-09 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2019-07-09_final
2019-07-22 12:13:45	ga_s2am_ard_3-2-1_49KHS_2019-07-22_final.stac-item
2019-08-15 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-08-15_final
2019-08-22 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-08-22_final
2019-08-22 11:47:16	ga_s2am_ard_3-2-1_50HLH_2019-08-22_final
2019-11-20 11:47:29	ga_s2am_ard_3-2-1_50HLG_2019-11-20_final.stac-item
2020-01-09 11:46:48	ga_s2am_ard_3-2-1_50HQH_2020-01-09_final
2020-02-08 11:47:19	ga_s2am_ard_3-2-1_50HLG_2020-02-08_final.stac-item
2020-02-18 11:47:21	ga_s2am_ard_3-2-1_50HLG_2020-02-18_final.stac-item
2020-04-14 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2020-04-14_final
2020-05-05 11:37:30	ga_s2am_ard_3-2-1_50HNG_2020-05-05_final.stac-item
2020-05-14 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2020-05-14_final
2020-07-06 12:14:25	ga_s2am_ard_3-2-1_49KHP_2020-07-06_final
2020-07-23 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-07-23_final
2020-07-30 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-07-30_final
2020-10-31 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2020-10-31_final
2020-12-20 12:05:21	ga_s2am_ard_3-2-1_50JLQ_2020-12-20_final
2020-12-21 11:37:20	ga_s2am_ard_3-2-1_50HPG_2020-12-21_final.stac-item
2021-01-09 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-01-09_final
2021-04-30 11:37:18	ga_s2am_ard_3-2-1_50HPG_2021-04-30_final.stac-item
2021-05-03 11:47:25	ga_s2am_ard_3-2-1_50HLG_2021-05-03_final.stac-item
2021-07-01 12:15:14	ga_s2am_ard_3-2-1_49JGL_2021-07-01_final
2021-07-11 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-07-11_final
2021-09-06 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-09-06_final
2021-09-29 12:13:44	ga_s2am_ard_3-2-1_49KHS_2021-09-29_final.stac-item
2021-09-29 12:14:27	ga_s2am_ard_3-2-1_49KHP_2021-09-29_final
2021-10-10 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-10_final
2021-11-28 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-11-28_final
2021-12-18 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2021-12-18_final
2022-02-13 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2022-02-13_final
2022-03-06 11:36:33	ga_s2am_ard_3-2-1_50HQK_2022-03-06_final
2022-03-08 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2022-03-08_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
2022-05-14 12:03:48	ga_s2am_ard_3-2-1_49KHS_2022-05-14_final.stac-item
2022-06-20 11:57:35	ga_s2am_ard_3-2-1_50HLG_2022-06-20_final.stac-item
2022-08-22 12:05:35	ga_s2am_ard_3-2-1_50JLQ_2022-08-22_final.stac-item
2022-10-05 11:47:24	ga_s2am_ard_3-2-1_50HPG_2022-10-05_final.stac-item
2022-11-13 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2022-11-13_final.stac-item
2023-01-20 11:37:21	ga_s2am_ard_3-2-1_50HNG_2023-01-20_final.stac-item
2023-01-23 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-01-23_final.stac-item
2023-02-02 11:47:25	ga_s2am_ard_3-2-1_50HLG_2023-02-02_final.stac-item
2023-02-22 11:47:18	ga_s2am_ard_3-2-1_50HNG_2023-02-22_final.stac-item
2023-02-25 11:57:18	ga_s2am_ard_3-2-1_50HMG_2023-02-25_final.stac-item
2023-06-08 12:05:00	ga_s2am_ard_3-2-1_49JHM_2023-06-08_final.stac-item
2023-07-01 12:14:13	ga_s2am_ard_3-2-1_49KHQ_2023-07-01_final.stac-item
2023-10-06 12:03:45	ga_s2am_ard_3-2-1_49KHS_2023-10-06_final.stac-item
2023-10-09 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-10-09_final.stac-item
2023-11-02 11:57:21	ga_s2am_ard_3-2-1_50HLG_2023-11-02_final.stac-item
2023-12-15 12:06:00	ga_s2am_ard_3-2-1_50JLM_2023-12-15_final.stac-item
2024-02-03 12:05:07	ga_s2am_ard_3-2-1_50JKR_2024-02-03_final.stac-item
2024-02-14 11:37:15	ga_s2am_ard_3-2-1_50HQG_2024-02-14_final.stac-item
2024-03-11 11:56:42	ga_s2am_ard_3-2-1_50HMK_2024-03-11_final.stac-item
2024-04-03 12:05:09	ga_s2am_ard_3-2-1_50JKR_2024-04-03_final.stac-item
2024-04-07 11:47:25	ga_s2am_ard_3-2-1_50HLG_2024-04-07_final.stac-item
2024-04-27 11:47:19	ga_s2am_ard_3-2-1_50HPG_2024-04-27_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

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