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
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50HNG_2016-01-20_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGK_2016-06-04_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HQG_2016-08-04_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HQH_2016-08-04_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HQJ_2016-08-04_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HQK_2016-08-04_final.stac-item
2016-11-01 12:02:47	ga_s2am_ard_3-2-1_49KHP_2016-11-01_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHP_2016-11-21_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQH_2016-12-12_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQJ_2016-12-12_final
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQK_2016-12-12_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49KHP_2017-02-09_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKP_2017-02-09_final
2017-02-10 11:32:51	ga_s2am_ard_3-2-1_50HQG_2017-02-10_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HQH_2017-05-11_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_50HQH_2018-04-06_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49KHP_2018-04-25_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JGH_2018-06-04_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JGJ_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49JHM_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKN_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKP_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKQ_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKR_2018-06-04_final
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50JKS_2018-06-04_final
2018-06-05 11:37:03	ga_s2am_ard_3-2-1_50HQG_2018-06-05_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HLH_2018-07-01_final
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLJ_2018-09-29_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-11-01_final
2018-12-15 11:47:12	ga_s2am_ard_3-2-1_50HNG_2018-12-15_final.stac-item
2019-01-10 12:04:23	ga_s2am_ard_3-2-1_49KHP_2019-01-10_final
2019-02-13 11:47:17	ga_s2am_ard_3-2-1_50HNG_2019-02-13_final.stac-item
2019-07-26 11:56:45	ga_s2am_ard_3-2-1_50HLK_2019-07-26_final
2019-07-26 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-26_final
2019-07-26 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-07-26_final
2020-02-28 11:46:47	ga_s2am_ard_3-2-1_50HNJ_2020-02-28_final
2020-04-05 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2020-04-05_final
2020-05-24 12:04:34	ga_s2am_ard_3-2-1_49KHP_2020-05-24_final
2020-05-24 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-05-24_final
2020-05-24 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-05-24_final
2020-05-24 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-05-24_final
2020-05-24 12:05:03	ga_s2am_ard_3-2-1_50JKS_2020-05-24_final
2020-05-24 12:05:18	ga_s2am_ard_3-2-1_50JKR_2020-05-24_final
2020-05-24 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-05-24_final
2020-05-24 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-05-24_final
2020-05-24 12:05:35	ga_s2am_ard_3-2-1_49JGK_2020-05-24_final
2020-05-24 12:05:47	ga_s2am_ard_3-2-1_50JKP_2020-05-24_final
2020-05-24 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-05-24_final
2020-05-24 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-05-24_final
2020-05-24 12:06:04	ga_s2am_ard_3-2-1_49JGH_2020-05-24_final.stac-item
2020-08-22 12:05:46	ga_s2am_ard_3-2-1_50JKP_2020-08-22_final
2020-08-22 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-08-22_final
2020-08-22 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-08-22_final
2020-08-22 12:06:04	ga_s2am_ard_3-2-1_49JGH_2020-08-22_final.stac-item
2020-09-24 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2020-09-24_final
2020-10-11 12:04:48	ga_s2am_ard_3-2-1_49JHN_2020-10-11_final
2020-10-31 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-10-31_final
2021-04-09 12:04:52	ga_s2am_ard_3-2-1_50JKS_2021-04-09_final
2021-06-08 12:05:59	ga_s2am_ard_3-2-1_49JGH_2021-06-08_final.stac-item
2021-06-19 11:37:18	ga_s2am_ard_3-2-1_50HQG_2021-06-19_final.stac-item
2021-07-19 11:37:20	ga_s2am_ard_3-2-1_50HQG_2021-07-19_final.stac-item
2022-03-25 12:05:32	ga_s2am_ard_3-2-1_49JGK_2022-03-25_final
2022-03-25 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2022-03-25_final
2022-03-29 11:47:09	ga_s2am_ard_3-2-1_50HNH_2022-03-29_final
2022-06-10 11:57:18	ga_s2am_ard_3-2-1_50HLH_2022-06-10_final
2022-07-07 11:47:34	ga_s2am_ard_3-2-1_50HNG_2022-07-07_final.stac-item
2022-07-07 11:47:37	ga_s2am_ard_3-2-1_50HMG_2022-07-07_final.stac-item
2022-07-17 11:47:33	ga_s2am_ard_3-2-1_50HNG_2022-07-17_final.stac-item
2022-07-17 11:47:36	ga_s2am_ard_3-2-1_50HMG_2022-07-17_final.stac-item
2022-09-02 11:36:46	ga_s2am_ard_3-2-1_50HQK_2022-09-02_final.stac-item
2022-09-08 11:57:06	ga_s2am_ard_3-2-1_50HLJ_2022-09-08_final.stac-item
2022-09-08 11:57:20	ga_s2am_ard_3-2-1_50HLH_2022-09-08_final.stac-item
2023-01-10 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-01-10_final.stac-item
2023-03-30 12:04:40	ga_s2am_ard_3-2-1_50JKT_2023-03-30_final.stac-item
2023-03-30 12:04:55	ga_s2am_ard_3-2-1_49JHM_2023-03-30_final.stac-item
2023-03-30 12:04:55	ga_s2am_ard_3-2-1_50JKS_2023-03-30_final.stac-item
2023-05-02 12:14:31	ga_s2am_ard_3-2-1_49KFP_2023-05-02_nrt.stac-item
2023-05-29 12:04:31	ga_s2am_ard_3-2-1_49KHP_2023-05-29_final.stac-item
2023-06-05 11:57:13	ga_s2am_ard_3-2-1_50HLH_2023-06-05_final.stac-item
2023-06-18 12:04:47	ga_s2am_ard_3-2-1_49JHN_2023-06-18_final.stac-item
2023-06-18 12:04:47	ga_s2am_ard_3-2-1_50JKT_2023-06-18_final.stac-item
2023-06-18 12:05:16	ga_s2am_ard_3-2-1_50JKR_2023-06-18_final.stac-item
2023-06-18 12:05:19	ga_s2am_ard_3-2-1_49JGL_2023-06-18_final.stac-item
2023-06-18 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2023-06-18_final.stac-item
2023-06-18 12:05:33	ga_s2am_ard_3-2-1_49JGK_2023-06-18_final.stac-item
2023-07-25 11:56:30	ga_s2am_ard_3-2-1_50JLL_2023-07-25_final.stac-item
2023-07-25 11:56:45	ga_s2am_ard_3-2-1_50HLK_2023-07-25_final.stac-item
2023-07-25 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2023-07-25_final.stac-item
2023-07-25 11:57:03	ga_s2am_ard_3-2-1_50HKJ_2023-07-25_nrt.stac-item
2023-07-25 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-07-25_final.stac-item
2023-07-25 11:57:17	ga_s2am_ard_3-2-1_50HKH_2023-07-25_nrt.stac-item
2023-09-13 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-09-13_final.stac-item
2023-10-26 12:04:28	ga_s2am_ard_3-2-1_49KHP_2023-10-26_final.stac-item
2023-11-25 12:04:22	ga_s2am_ard_3-2-1_49KHP_2023-11-25_final.stac-item
2024-02-03 12:04:38	ga_s2am_ard_3-2-1_50JKT_2024-02-03_final.stac-item
2024-02-13 12:04:40	ga_s2am_ard_3-2-1_49JHN_2024-02-13_final.stac-item
2024-02-24 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2024-02-24_final.stac-item
2024-03-27 12:13:48	ga_s2am_ard_3-2-1_49KFS_2024-03-27_nrt.stac-item
2024-03-27 12:14:31	ga_s2am_ard_3-2-1_49KFP_2024-03-27_nrt.stac-item
2024-04-30 11:56:43	ga_s2am_ard_3-2-1_50HLK_2024-04-30_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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