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
2016-01-19 12:15:17	ga_s2am_ard_3-2-1_49JGM_2016-01-19_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNJ_2016-06-18_final.stac-item
2016-09-12 12:02:46	ga_s2am_ard_3-2-1_49JGM_2016-09-12_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNJ_2016-10-16_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-11_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50HMG_2016-12-25_final.stac-item
2017-03-25 11:44:58	ga_s2am_ard_3-2-1_50HNH_2017-03-25_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50HNK_2017-05-27_final
2017-07-22 12:14:43	ga_s2am_ard_3-2-1_49JFM_2017-07-22_final
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HMK_2017-07-23_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMJ_2017-12-03_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGM_2018-01-05_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HNK_2018-01-19_final
2018-01-22 11:56:02	ga_s2am_ard_3-2-1_50HNK_2018-01-22_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGJ_2018-02-14_final
2018-02-14 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-02-14_final
2018-03-26 12:02:47	ga_s2am_ard_3-2-1_49JGM_2018-03-26_final
2018-04-02 11:53:50	ga_s2am_ard_3-2-1_50HNK_2018-04-02_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49JGK_2018-06-24_final
2018-06-24 12:03:32	ga_s2am_ard_3-2-1_49KHR_2018-06-24_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HMJ_2018-07-18_final
2018-10-29 11:54:48	ga_s2am_ard_3-2-1_50HNK_2018-10-29_final
2018-11-21 12:04:56	ga_s2am_ard_3-2-1_49JGM_2018-11-21_final
2018-12-02 11:37:12	ga_s2am_ard_3-2-1_50HPG_2018-12-02_final.stac-item
2019-02-13 11:47:21	ga_s2am_ard_3-2-1_50HMG_2019-02-13_final.stac-item
2019-03-08 11:56:49	ga_s2am_ard_3-2-1_50HLJ_2019-03-08_final
2019-06-09 12:05:03	ga_s2am_ard_3-2-1_49JGM_2019-06-09_final
2019-08-08 12:04:32	ga_s2am_ard_3-2-1_49KHP_2019-08-08_final
2019-08-25 11:56:32	ga_s2am_ard_3-2-1_50HNK_2019-08-25_final
2019-09-11 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2019-09-11_final
2019-10-27 12:04:31	ga_s2am_ard_3-2-1_49KHP_2019-10-27_final
2019-10-27 12:05:33	ga_s2am_ard_3-2-1_49JGK_2019-10-27_final
2019-11-16 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2019-11-16_final
2019-11-26 12:03:59	ga_s2am_ard_3-2-1_49KHR_2019-11-26_final
2019-11-30 11:47:20	ga_s2am_ard_3-2-1_50HNG_2019-11-30_final.stac-item
2019-12-29 12:14:51	ga_s2am_ard_3-2-1_49JGM_2019-12-29_final
2020-01-15 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2020-01-15_final
2020-05-18 11:46:46	ga_s2am_ard_3-2-1_50HMK_2020-05-18_final
2020-08-12 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-12_final
2020-09-04 12:14:50	ga_s2am_ard_3-2-1_49JFN_2020-09-04_final
2020-10-08 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-10-08_final
2020-11-20 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2020-11-20_final
2021-01-03 11:46:38	ga_s2am_ard_3-2-1_50HNK_2021-01-03_final
2021-02-08 12:04:45	ga_s2am_ard_3-2-1_49JGN_2021-02-08_final
2021-02-19 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-02-19_final
2021-03-03 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-03-03_final
2021-04-12 12:14:36	ga_s2am_ard_3-2-1_49JGN_2021-04-12_final
2021-04-23 11:46:48	ga_s2am_ard_3-2-1_50HNJ_2021-04-23_final
2021-05-29 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-29_final
2021-06-22 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2021-06-22_final
2021-06-22 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-06-22_final.stac-item
2021-07-05 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-07-05_final
2021-07-28 12:05:00	ga_s2am_ard_3-2-1_49JHM_2021-07-28_final
2021-08-10 12:14:29	ga_s2am_ard_3-2-1_49KGP_2021-08-10_final
2021-08-11 11:46:40	ga_s2am_ard_3-2-1_50HNK_2021-08-11_final
2021-08-11 11:47:05	ga_s2am_ard_3-2-1_50HPH_2021-08-11_final
2021-09-16 12:04:33	ga_s2am_ard_3-2-1_49KGP_2021-09-16_final
2021-10-10 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2021-10-10_final
2021-10-10 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-10_final.stac-item
2021-11-12 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-11-12_final
2021-11-15 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-11-15_final
2021-11-19 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-11-19_final
2021-11-22 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-11-22_final
2022-01-18 11:47:17	ga_s2am_ard_3-2-1_50HPG_2022-01-18_final.stac-item
2022-02-03 12:03:59	ga_s2am_ard_3-2-1_49KHR_2022-02-03_final
2022-02-07 11:47:09	ga_s2am_ard_3-2-1_50HMH_2022-02-07_final
2022-02-27 11:46:44	ga_s2am_ard_3-2-1_50HMK_2022-02-27_final
2022-04-01 11:57:11	ga_s2am_ard_3-2-1_50HLH_2022-04-01_final
2022-04-07 12:15:11	ga_s2am_ard_3-2-1_49JGL_2022-04-07_final
2022-05-24 12:04:06	ga_s2am_ard_3-2-1_49KHR_2022-05-24_final
2022-05-24 12:04:49	ga_s2am_ard_3-2-1_49JHN_2022-05-24_final
2022-05-28 11:46:45	ga_s2am_ard_3-2-1_50HNK_2022-05-28_final
2022-06-03 12:04:07	ga_s2am_ard_3-2-1_49KHR_2022-06-03_final
2022-06-17 11:47:03	ga_s2am_ard_3-2-1_50HNJ_2022-06-17_final
2022-06-30 11:56:42	ga_s2am_ard_3-2-1_50HNK_2022-06-30_final
2022-08-09 11:56:52	ga_s2am_ard_3-2-1_50HLK_2022-08-09_final
2022-09-02 11:37:33	ga_s2am_ard_3-2-1_50HPG_2022-09-02_final.stac-item
2022-09-02 11:37:38	ga_s2am_ard_3-2-1_50HNG_2022-09-02_final.stac-item
2022-09-08 11:56:48	ga_s2am_ard_3-2-1_50HMK_2022-09-08_final.stac-item
2022-09-15 11:46:50	ga_s2am_ard_3-2-1_50HMK_2022-09-15_final.stac-item
2022-10-04 12:14:48	ga_s2am_ard_3-2-1_49JGN_2022-10-04_final.stac-item
2022-10-05 11:47:17	ga_s2am_ard_3-2-1_50HMH_2022-10-05_final.stac-item
2022-10-24 12:14:29	ga_s2am_ard_3-2-1_49KGP_2022-10-24_final.stac-item
2022-12-10 12:04:28	ga_s2am_ard_3-2-1_49KHP_2022-12-10_final.stac-item
2023-01-16 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-01-16_final.stac-item
2023-01-19 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-01-19_final.stac-item
2023-01-23 11:47:20	ga_s2am_ard_3-2-1_50HMG_2023-01-23_final.stac-item
2023-01-26 11:57:17	ga_s2am_ard_3-2-1_50HMG_2023-01-26_final.stac-item
2023-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-02-21_final.stac-item
2023-05-09 12:05:00	ga_s2am_ard_3-2-1_49JGM_2023-05-09_final.stac-item
2023-06-02 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2023-06-02_final.stac-item
2023-06-12 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-12_final.stac-item
2023-06-15 11:56:44	ga_s2am_ard_3-2-1_50HLK_2023-06-15_final.stac-item
2023-06-28 12:05:48	ga_s2am_ard_3-2-1_49JGJ_2023-06-28_final.stac-item
2023-07-18 12:05:19	ga_s2am_ard_3-2-1_49JGL_2023-07-18_final.stac-item
2023-08-30 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-08-30_final.stac-item
2023-09-30 11:47:23	ga_s2am_ard_3-2-1_50HNG_2023-09-30_final.stac-item
2023-11-09 11:47:06	ga_s2am_ard_3-2-1_50HNH_2023-11-09_final.stac-item
2024-02-20 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2024-02-20_final.stac-item
2024-03-24 12:04:00	ga_s2am_ard_3-2-1_49KHR_2024-03-24_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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