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_49JGL_2015-10-08_final.stac-item
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KHR_2015-10-08_final.stac-item
2015-10-21 12:14:27	ga_s2am_ard_3-2-1_49KGP_2015-10-21_final.stac-item
2016-01-06 12:04:05	ga_s2am_ard_3-2-1_49KHR_2016-01-06_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JHM_2016-01-16_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_49JGK_2016-02-05_final.stac-item
2016-03-29 12:14:39	ga_s2am_ard_3-2-1_49JGM_2016-03-29_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49KHR_2016-07-17_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_49JGM_2016-08-23_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49JGL_2016-11-21_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_49KHR_2016-12-11_final
2017-02-02 12:13:15	ga_s2am_ard_3-2-1_49KHR_2017-02-02_final
2017-02-22 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-22_final
2017-03-14 12:13:38	ga_s2am_ard_3-2-1_49KHR_2017-03-14_final
2017-03-31 12:02:45	ga_s2am_ard_3-2-1_49JGK_2017-03-31_final.stac-item
2017-05-03 12:13:46	ga_s2am_ard_3-2-1_49KGR_2017-05-03_final
2017-07-09 12:02:49	ga_s2am_ard_3-2-1_49KGP_2017-07-09_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_49KHR_2017-09-27_final
2017-09-30 12:13:43	ga_s2am_ard_3-2-1_49KGQ_2017-09-30_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGM_2017-10-27_final
2017-10-30 12:14:41	ga_s2am_ard_3-2-1_49JGL_2017-10-30_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGM_2017-11-16_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KGQ_2017-12-16_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49KGP_2018-01-05_final
2018-01-08 12:13:13	ga_s2am_ard_3-2-1_49JGL_2018-01-08_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_49KHR_2018-01-25_final
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49KHR_2018-02-24_final
2018-04-08 12:13:22	ga_s2am_ard_3-2-1_49JGL_2018-04-08_final
2018-05-18 12:13:23	ga_s2am_ard_3-2-1_49JFM_2018-05-18_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_49JGM_2018-05-28_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49KHR_2018-06-17_final
2018-11-14 12:15:05	ga_s2am_ard_3-2-1_49JGL_2018-11-14_final
2019-05-10 12:05:04	ga_s2am_ard_3-2-1_49JGM_2019-05-10_final
2019-05-20 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-05-20_final
2019-07-22 12:15:05	ga_s2am_ard_3-2-1_49JFM_2019-07-22_final
2019-07-29 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-29_final
2019-08-28 12:04:00	ga_s2am_ard_3-2-1_49KHR_2019-08-28_final
2019-09-07 12:03:58	ga_s2am_ard_3-2-1_49KHR_2019-09-07_final
2019-10-27 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-10-27_final
2019-11-06 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-11-06_final
2019-12-06 12:05:12	ga_s2am_ard_3-2-1_49JGL_2019-12-06_final
2019-12-26 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-12-26_final
2020-01-05 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2020-01-05_final
2020-01-25 12:05:08	ga_s2am_ard_3-2-1_49JGL_2020-01-25_final
2020-01-28 12:13:47	ga_s2am_ard_3-2-1_49KHR_2020-01-28_final
2020-02-27 12:15:05	ga_s2am_ard_3-2-1_49JGL_2020-02-27_final
2020-04-04 12:03:41	ga_s2am_ard_3-2-1_49KHS_2020-04-04_final.stac-item
2020-04-07 12:14:24	ga_s2am_ard_3-2-1_49KGP_2020-04-07_final
2020-05-14 12:05:49	ga_s2am_ard_3-2-1_49JGJ_2020-05-14_final
2020-05-17 12:15:16	ga_s2am_ard_3-2-1_49JGL_2020-05-17_final
2020-09-04 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2020-09-04_final
2020-11-10 12:03:49	ga_s2am_ard_3-2-1_49KHS_2020-11-10_final.stac-item
2020-11-23 12:13:56	ga_s2am_ard_3-2-1_49KHR_2020-11-23_final
2020-12-10 12:04:28	ga_s2am_ard_3-2-1_49KGP_2020-12-10_final
2020-12-20 12:05:13	ga_s2am_ard_3-2-1_49JGL_2020-12-20_final
2021-02-28 12:04:18	ga_s2am_ard_3-2-1_49KGQ_2021-02-28_final
2021-04-19 12:03:39	ga_s2am_ard_3-2-1_49KHS_2021-04-19_final.stac-item
2021-04-22 12:13:54	ga_s2am_ard_3-2-1_49KGR_2021-04-22_final
2021-05-19 12:03:59	ga_s2am_ard_3-2-1_49KHR_2021-05-19_final
2021-07-01 12:14:43	ga_s2am_ard_3-2-1_49JGN_2021-07-01_final
2021-09-06 12:04:00	ga_s2am_ard_3-2-1_49KHR_2021-09-06_final
2021-11-08 12:14:30	ga_s2am_ard_3-2-1_49KGP_2021-11-08_final
2021-11-18 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-11-18_final
2021-11-18 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-11-18_final
2021-11-25 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-11-25_final
2022-02-03 12:03:44	ga_s2am_ard_3-2-1_49KHS_2022-02-03_final.stac-item
2022-02-13 12:05:00	ga_s2am_ard_3-2-1_49JGM_2022-02-13_final
2022-02-13 12:05:15	ga_s2am_ard_3-2-1_49JGL_2022-02-13_final
2022-04-24 12:03:49	ga_s2am_ard_3-2-1_49KHS_2022-04-24_final.stac-item
2022-04-24 12:05:05	ga_s2am_ard_3-2-1_49JGM_2022-04-24_final
2022-06-03 12:04:54	ga_s2am_ard_3-2-1_49JGN_2022-06-03_final
2022-07-03 12:03:57	ga_s2am_ard_3-2-1_49KHS_2022-07-03_final.stac-item
2022-07-06 12:14:11	ga_s2am_ard_3-2-1_49KGR_2022-07-06_final
2022-07-13 12:04:12	ga_s2am_ard_3-2-1_49KHR_2022-07-13_final
2022-07-26 12:14:37	ga_s2am_ard_3-2-1_49KGP_2022-07-26_final
2022-07-26 12:15:20	ga_s2am_ard_3-2-1_49JGL_2022-07-26_final
2022-08-02 12:04:56	ga_s2am_ard_3-2-1_49JGN_2022-08-02_final
2022-10-01 12:04:50	ga_s2am_ard_3-2-1_49JHN_2022-10-01_final.stac-item
2022-10-24 12:14:01	ga_s2am_ard_3-2-1_49KGR_2022-10-24_final.stac-item
2022-10-31 12:04:35	ga_s2am_ard_3-2-1_49KGP_2022-10-31_final.stac-item
2022-10-31 12:05:19	ga_s2am_ard_3-2-1_49JGL_2022-10-31_final.stac-item
2022-12-30 12:03:43	ga_s2am_ard_3-2-1_49KHS_2022-12-30_final.stac-item
2023-01-12 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-01-12_final.stac-item
2023-04-12 12:15:00	ga_s2am_ard_3-2-1_49JFM_2023-04-12_final.stac-item
2023-04-19 12:04:30	ga_s2am_ard_3-2-1_49KGP_2023-04-19_final.stac-item
2023-04-22 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-04-22_final.stac-item
2023-08-10 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2023-08-10_final.stac-item
2023-08-30 12:14:00	ga_s2am_ard_3-2-1_49KHR_2023-08-30_final.stac-item
2023-09-16 12:04:03	ga_s2am_ard_3-2-1_49KHR_2023-09-16_final.stac-item
2023-09-19 12:14:44	ga_s2am_ard_3-2-1_49JGN_2023-09-19_final.stac-item
2023-09-26 12:05:31	ga_s2am_ard_3-2-1_49JGK_2023-09-26_final.stac-item
2023-10-26 12:05:01	ga_s2am_ard_3-2-1_49JGM_2023-10-26_final.stac-item
2023-11-15 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2023-11-15_final.stac-item
2023-11-18 12:13:56	ga_s2am_ard_3-2-1_49KGR_2023-11-18_final.stac-item
2023-11-18 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-11-18_final.stac-item
2023-12-28 12:14:24	ga_s2am_ard_3-2-1_49KGP_2023-12-28_final.stac-item
2024-01-17 12:14:19	ga_s2am_ard_3-2-1_49KGP_2024-01-17_final.stac-item
2024-01-24 12:04:25	ga_s2am_ard_3-2-1_49KGP_2024-01-24_final.stac-item
2024-03-04 12:05:01	ga_s2am_ard_3-2-1_49JGM_2024-03-04_final.stac-item
2024-03-27 12:14:57	ga_s2am_ard_3-2-1_49JGM_2024-03-27_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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