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
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HPK_2015-12-21_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JLR_2016-04-02_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HNG_2016-06-05_final.stac-item
2016-09-05 12:13:43	ga_s2am_ard_3-2-1_49KGR_2016-09-05_final.stac-item
2016-11-02 11:32:48	ga_s2am_ard_3-2-1_50HPK_2016-11-02_final.stac-item
2016-11-15 11:44:31	ga_s2am_ard_3-2-1_50HMJ_2016-11-15_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_50HPJ_2016-11-22_final.stac-item
2016-11-28 11:49:54	ga_s2am_ard_3-2-1_50HMG_2016-11-28_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HQJ_2016-12-25_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_50JKS_2017-03-01_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HMJ_2017-03-25_final
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HPK_2017-03-25_final
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HNH_2017-04-14_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HNJ_2017-04-14_final.stac-item
2017-05-30 12:02:52	ga_s2am_ard_3-2-1_49KHQ_2017-05-30_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_50HPH_2017-05-31_final
2017-06-12 12:14:42	ga_s2am_ard_3-2-1_49JGL_2017-06-12_final
2017-06-26 11:56:32	ga_s2am_ard_3-2-1_50HLJ_2017-06-26_final
2017-07-06 11:56:07	ga_s2am_ard_3-2-1_50HNK_2017-07-06_final
2017-10-18 11:36:29	ga_s2am_ard_3-2-1_50HQK_2017-10-18_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JLT_2018-01-25_final
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49JHN_2018-03-06_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49JGL_2018-03-19_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50JKP_2018-04-12_final
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50HLH_2018-05-12_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JKP_2018-07-11_final
2018-09-02 12:02:47	ga_s2am_ard_3-2-1_49JGL_2018-09-02_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_50HPH_2018-09-03_final
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JLP_2018-09-09_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_50JKP_2018-10-02_final
2018-11-08 11:56:46	ga_s2am_ard_3-2-1_50HMJ_2018-11-08_final
2018-12-22 11:37:02	ga_s2am_ard_3-2-1_50HPH_2018-12-22_final
2019-01-13 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2019-01-13_final
2019-02-09 12:05:34	ga_s2am_ard_3-2-1_50JLP_2019-02-09_final
2019-03-01 12:04:34	ga_s2am_ard_3-2-1_50JLT_2019-03-01_final
2019-05-07 11:55:46	ga_s2am_ard_3-2-1_50JLP_2019-05-07_final
2019-06-02 12:15:13	ga_s2am_ard_3-2-1_49JGL_2019-06-02_final
2019-07-30 11:36:43	ga_s2am_ard_3-2-1_50HPK_2019-07-30_final
2019-08-11 12:14:45	ga_s2am_ard_3-2-1_49JGN_2019-08-11_final
2019-08-18 12:06:07	ga_s2am_ard_3-2-1_50JLM_2019-08-18_final
2019-09-17 12:05:14	ga_s2am_ard_3-2-1_49JGL_2019-09-17_final
2019-09-27 12:05:16	ga_s2am_ard_3-2-1_49JGL_2019-09-27_final
2019-11-07 11:36:40	ga_s2am_ard_3-2-1_50HPK_2019-11-07_final
2019-11-16 12:05:39	ga_s2am_ard_3-2-1_50JLP_2019-11-16_final
2019-11-26 12:03:44	ga_s2am_ard_3-2-1_49KHS_2019-11-26_final.stac-item
2019-11-26 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-11-26_final
2019-11-30 11:46:40	ga_s2am_ard_3-2-1_50HMK_2019-11-30_final
2019-12-03 11:57:04	ga_s2am_ard_3-2-1_50HMH_2019-12-03_final
2020-01-25 12:05:31	ga_s2am_ard_3-2-1_50JLP_2020-01-25_final
2020-02-18 11:47:08	ga_s2am_ard_3-2-1_50HLH_2020-02-18_final
2020-03-02 11:55:42	ga_s2am_ard_3-2-1_50JKP_2020-03-02_final
2020-03-28 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2020-03-28_final
2020-03-28 12:15:06	ga_s2am_ard_3-2-1_49JGL_2020-03-28_final
2020-04-08 11:47:04	ga_s2am_ard_3-2-1_50HNH_2020-04-08_final
2020-09-11 12:04:43	ga_s2am_ard_3-2-1_50JLT_2020-09-11_final
2020-09-11 12:05:18	ga_s2am_ard_3-2-1_49JGL_2020-09-11_final
2020-10-25 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2020-10-25_final
2020-12-07 11:57:18	ga_s2am_ard_3-2-1_50HMG_2020-12-07_final.stac-item
2021-01-16 11:55:43	ga_s2am_ard_3-2-1_50JLP_2021-01-16_final
2021-01-30 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-01-30_final
2021-03-10 12:04:46	ga_s2am_ard_3-2-1_49JGN_2021-03-10_final
2021-03-10 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-03-10_final
2021-03-10 12:05:37	ga_s2am_ard_3-2-1_50JLP_2021-03-10_final
2021-03-17 11:56:10	ga_s2am_ard_3-2-1_50JLM_2021-03-17_final
2021-03-27 11:56:23	ga_s2am_ard_3-2-1_50JLL_2021-03-27_final
2021-05-12 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-05-12_final
2021-10-23 11:56:45	ga_s2am_ard_3-2-1_50HLK_2021-10-23_final
2022-04-04 12:04:41	ga_s2am_ard_3-2-1_50JLT_2022-04-04_final
2022-05-08 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-05-08_final
2022-05-08 11:46:38	ga_s2am_ard_3-2-1_50HPK_2022-05-08_final
2022-05-08 11:47:06	ga_s2am_ard_3-2-1_50HPH_2022-05-08_final
2022-06-07 11:47:00	ga_s2am_ard_3-2-1_50HNJ_2022-06-07_final
2022-10-01 12:04:41	ga_s2am_ard_3-2-1_50JKT_2022-10-01_final.stac-item
2022-11-20 12:04:47	ga_s2am_ard_3-2-1_49JGN_2022-11-20_final.stac-item
2022-12-24 11:47:08	ga_s2am_ard_3-2-1_50HMH_2022-12-24_final.stac-item
2022-12-30 12:05:50	ga_s2am_ard_3-2-1_50JLN_2022-12-30_final.stac-item
2022-12-31 11:36:33	ga_s2am_ard_3-2-1_50HQK_2022-12-31_final.stac-item
2023-01-29 12:05:06	ga_s2am_ard_3-2-1_50JLR_2023-01-29_final.stac-item
2023-04-20 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-04-20_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-05-19 12:04:48	ga_s2am_ard_3-2-1_49JGN_2023-05-19_final.stac-item
2023-05-19 12:04:59	ga_s2am_ard_3-2-1_50JKS_2023-05-19_final.stac-item
2023-05-20 11:36:56	ga_s2am_ard_3-2-1_50HQH_2023-05-20_final.stac-item
2023-06-28 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2023-06-28_final.stac-item
2023-08-14 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-08-14_final.stac-item
2023-08-24 11:55:52	ga_s2am_ard_3-2-1_50JKP_2023-08-24_final.stac-item
2023-12-06 11:37:00	ga_s2am_ard_3-2-1_50HPH_2023-12-06_final.stac-item
2023-12-15 12:03:40	ga_s2am_ard_3-2-1_49KHS_2023-12-15_final.stac-item
2023-12-15 12:04:38	ga_s2am_ard_3-2-1_50JKT_2023-12-15_final.stac-item
2023-12-19 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-12-19_final.stac-item
2024-01-04 12:05:34	ga_s2am_ard_3-2-1_50JLP_2024-01-04_final.stac-item
2024-01-24 12:05:45	ga_s2am_ard_3-2-1_50JLN_2024-01-24_final.stac-item
2024-02-13 12:04:43	ga_s2am_ard_3-2-1_49JGN_2024-02-13_final.stac-item
2024-03-25 11:36:35	ga_s2am_ard_3-2-1_50HQK_2024-03-25_final.stac-item
2024-03-28 11:46:38	ga_s2am_ard_3-2-1_50HNK_2024-03-28_final.stac-item
2024-03-31 11:55:41	ga_s2am_ard_3-2-1_50JLP_2024-03-31_final.stac-item
2024-04-03 12:04:26	ga_s2am_ard_3-2-1_49KHP_2024-04-03_final.stac-item
2024-04-04 11:36:31	ga_s2am_ard_3-2-1_50HQK_2024-04-04_final.stac-item
2024-04-17 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2024-04-17_final.stac-item
2024-05-13 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2024-05-13_nrt.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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