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
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JLS_2015-12-27_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_50JLR_2016-01-06_final.stac-item
2016-02-15 11:59:34	ga_s2am_ard_3-2-1_50JLS_2016-02-15_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HLJ_2016-07-01_final.stac-item
2016-11-04 12:13:19	ga_s2am_ard_3-2-1_49KHR_2016-11-04_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49JGM_2016-11-11_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_50HQH_2016-12-22_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HPH_2017-03-12_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HQH_2017-03-12_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HPG_2017-04-14_final.stac-item
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HLG_2017-06-13_final.stac-item
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49KHR_2017-11-09_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49KGQ_2017-11-29_final
2017-12-26 12:03:42	ga_s2am_ard_3-2-1_49KHQ_2017-12-26_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HNG_2018-02-08_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-02-17_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KGQ_2018-02-24_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JFM_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49JGN_2018-03-09_final
2018-03-09 12:13:17	ga_s2am_ard_3-2-1_49KHP_2018-03-09_final
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50HLG_2018-03-30_final.stac-item
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HMK_2018-05-19_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HQH_2018-05-19_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HMK_2018-06-11_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HNG_2018-06-15_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HQH_2018-06-28_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HMK_2018-07-11_final
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50HQH_2018-08-07_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JLM_2018-08-10_final
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JLQ_2018-08-10_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50HLG_2018-08-20_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JGN_2018-08-23_final
2018-11-25 11:46:46	ga_s2am_ard_3-2-1_50HQH_2018-11-25_final
2018-12-14 12:14:04	ga_s2am_ard_3-2-1_49KGQ_2018-12-14_final
2019-01-11 11:37:22	ga_s2am_ard_3-2-1_50HNG_2019-01-11_final.stac-item
2019-02-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2019-02-23_final.stac-item
2019-05-27 11:57:12	ga_s2am_ard_3-2-1_50HLH_2019-05-27_final
2019-06-16 11:57:09	ga_s2am_ard_3-2-1_50HMH_2019-06-16_final
2019-07-16 11:56:42	ga_s2am_ard_3-2-1_50HMK_2019-07-16_final
2019-07-23 11:47:26	ga_s2am_ard_3-2-1_50HNG_2019-07-23_final.stac-item
2019-08-02 11:47:25	ga_s2am_ard_3-2-1_50HNG_2019-08-02_final.stac-item
2019-08-12 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-08-12_final.stac-item
2019-08-22 11:47:12	ga_s2am_ard_3-2-1_50HMH_2019-08-22_final
2019-10-17 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-10-17_final.stac-item
2019-10-21 11:47:27	ga_s2am_ard_3-2-1_50HMG_2019-10-21_final.stac-item
2019-11-06 12:03:47	ga_s2am_ard_3-2-1_49KHS_2019-11-06_final.stac-item
2019-11-16 12:04:15	ga_s2am_ard_3-2-1_49KHQ_2019-11-16_final
2019-11-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2019-11-16_final
2019-12-19 12:15:04	ga_s2am_ard_3-2-1_49JGL_2019-12-19_final
2019-12-26 12:03:54	ga_s2am_ard_3-2-1_49KHR_2019-12-26_final
2019-12-27 11:36:57	ga_s2am_ard_3-2-1_50HQH_2019-12-27_final
2019-12-27 11:37:03	ga_s2am_ard_3-2-1_50HQH_2019-12-27_final
2020-01-05 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2020-01-05_final
2020-01-12 11:57:15	ga_s2am_ard_3-2-1_50HMG_2020-01-12_final.stac-item
2020-03-05 12:04:27	ga_s2am_ard_3-2-1_49KGP_2020-03-05_final
2020-05-18 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-05-18_final
2020-05-28 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-05-28_final
2020-05-31 11:57:15	ga_s2am_ard_3-2-1_50HLH_2020-05-31_final
2020-06-07 11:47:24	ga_s2am_ard_3-2-1_50HNG_2020-06-07_final.stac-item
2020-06-24 11:37:32	ga_s2am_ard_3-2-1_50HNG_2020-06-24_final.stac-item
2020-06-30 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-06-30_final
2020-07-03 12:04:51	ga_s2am_ard_3-2-1_49JGN_2020-07-03_final
2020-07-07 11:47:25	ga_s2am_ard_3-2-1_50HMG_2020-07-07_final.stac-item
2020-07-10 11:57:24	ga_s2am_ard_3-2-1_50HMG_2020-07-10_final.stac-item
2020-07-17 11:47:07	ga_s2am_ard_3-2-1_50HPH_2020-07-17_final
2020-07-23 12:03:50	ga_s2am_ard_3-2-1_49KHS_2020-07-23_final.stac-item
2020-11-03 12:13:45	ga_s2am_ard_3-2-1_49KHS_2020-11-03_final.stac-item
2020-12-14 11:47:21	ga_s2am_ard_3-2-1_50HMG_2020-12-14_final.stac-item
2020-12-30 12:04:28	ga_s2am_ard_3-2-1_49KHP_2020-12-30_final
2021-01-02 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-01-02_final
2021-01-03 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-01-03_final.stac-item
2021-01-09 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-09_final
2021-01-09 12:05:30	ga_s2am_ard_3-2-1_49JGK_2021-01-09_final
2021-01-13 11:47:22	ga_s2am_ard_3-2-1_50HNG_2021-01-13_final.stac-item
2021-03-10 12:04:27	ga_s2am_ard_3-2-1_49KHP_2021-03-10_final
2021-03-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-03-10_final
2021-06-25 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-06-25_final
2021-07-15 11:56:29	ga_s2am_ard_3-2-1_50JLL_2021-07-15_final
2021-07-15 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2021-07-15_final
2021-08-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-08-07_final
2021-08-14 11:54:47	ga_s2am_ard_3-2-1_50JLT_2021-08-14_final
2021-09-29 12:13:44	ga_s2am_ard_3-2-1_49KHS_2021-09-29_final.stac-item
2021-10-20 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-20_final
2021-12-19 11:47:17	ga_s2am_ard_3-2-1_50HPG_2021-12-19_final.stac-item
2021-12-29 11:47:28	ga_s2am_ard_3-2-1_50HLG_2021-12-29_final.stac-item
2022-05-05 11:37:22	ga_s2am_ard_3-2-1_50HQG_2022-05-05_final.stac-item
2022-05-18 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2022-05-18_final
2022-06-14 11:37:31	ga_s2am_ard_3-2-1_50HPG_2022-06-14_final.stac-item
2022-06-30 11:57:32	ga_s2am_ard_3-2-1_50HMG_2022-06-30_final.stac-item
2022-09-25 11:47:31	ga_s2am_ard_3-2-1_50HMG_2022-09-25_final.stac-item
2022-12-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2022-12-21_final.stac-item
2022-12-24 11:46:51	ga_s2am_ard_3-2-1_50HQH_2022-12-24_final.stac-item
2023-01-20 11:37:01	ga_s2am_ard_3-2-1_50HPH_2023-01-20_final.stac-item
2023-01-30 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-01-30_final.stac-item
2023-01-30 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-30_final.stac-item
2023-03-04 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-03-04_final.stac-item
2023-05-16 11:57:21	ga_s2am_ard_3-2-1_50HMG_2023-05-16_final.stac-item
2023-12-19 11:47:23	ga_s2am_ard_3-2-1_50HLG_2023-12-19_final.stac-item
2024-02-10 11:57:16	ga_s2am_ard_3-2-1_50HMG_2024-02-10_final.stac-item
2024-02-20 11:57:18	ga_s2am_ard_3-2-1_50HMG_2024-02-20_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

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