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
2015-11-29 10:57:18	ga_s2am_ard_3-2-1_52JBM_2015-11-29_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JBM_2016-06-06_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_52HCK_2016-06-19_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JBM_2016-06-26_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JBM_2016-08-05_final.stac-item
2016-09-14 11:04:50	ga_s2am_ard_3-2-1_52JBM_2016-09-14_final.stac-item
2016-10-17 11:11:30	ga_s2am_ard_3-2-1_52HCK_2016-10-17_final.stac-item
2016-10-24 11:03:06	ga_s2am_ard_3-2-1_52JBM_2016-10-24_final.stac-item
2016-11-13 11:01:05	ga_s2am_ard_3-2-1_52JBM_2016-11-13_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52JBM_2016-12-23_final
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52JBM_2017-01-02_final.stac-item
2017-01-15 11:08:52	ga_s2am_ard_3-2-1_52HCK_2017-01-15_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52HCK_2017-01-25_final.stac-item
2017-02-01 10:57:59	ga_s2am_ard_3-2-1_52JBM_2017-02-01_final
2017-02-14 11:07:06	ga_s2am_ard_3-2-1_52HCK_2017-02-14_final.stac-item
2017-03-06 11:11:54	ga_s2am_ard_3-2-1_52HCK_2017-03-06_final.stac-item
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_52HCK_2017-05-05_final.stac-item
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52HCK_2017-05-25_final.stac-item
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52JBM_2017-06-21_final
2017-07-11 11:02:59	ga_s2am_ard_3-2-1_52JBM_2017-07-11_final
2017-07-31 11:03:00	ga_s2am_ard_3-2-1_52JBM_2017-07-31_final
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_52HCK_2017-08-13_final.stac-item
2017-08-20 11:03:00	ga_s2am_ard_3-2-1_52JBM_2017-08-20_final
2017-11-28 11:02:54	ga_s2am_ard_3-2-1_52JBM_2017-11-28_final
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JBM_2017-12-18_final
2018-01-27 11:02:54	ga_s2am_ard_3-2-1_52JBM_2018-01-27_final
2018-02-16 11:04:36	ga_s2am_ard_3-2-1_52JBM_2018-02-16_final
2018-03-08 11:03:09	ga_s2am_ard_3-2-1_52JBM_2018-03-08_final
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_52HCK_2018-03-21_final.stac-item
2018-03-28 11:00:18	ga_s2am_ard_3-2-1_52JBM_2018-03-28_final
2018-04-07 10:57:16	ga_s2am_ard_3-2-1_52JBM_2018-04-07_final
2018-04-17 11:04:48	ga_s2am_ard_3-2-1_52JBM_2018-04-17_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_52HCK_2018-06-09_final.stac-item
2018-06-16 10:57:15	ga_s2am_ard_3-2-1_52JBM_2018-06-16_final
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_52HCK_2018-06-19_final.stac-item
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52JBM_2018-08-05_final
2018-08-08 11:13:24	ga_s2am_ard_3-2-1_52HCK_2018-08-08_final.stac-item
2018-09-14 10:57:12	ga_s2am_ard_3-2-1_52JBM_2018-09-14_final
2018-10-24 10:59:59	ga_s2am_ard_3-2-1_52JBM_2018-10-24_final
2018-11-13 11:05:53	ga_s2am_ard_3-2-1_52JBM_2018-11-13_final
2018-12-03 11:05:50	ga_s2am_ard_3-2-1_52JBM_2018-12-03_final
2018-12-23 11:05:50	ga_s2am_ard_3-2-1_52JBM_2018-12-23_final
2019-01-02 11:05:52	ga_s2am_ard_3-2-1_52JBM_2019-01-02_final
2019-01-22 11:05:55	ga_s2am_ard_3-2-1_52JBM_2019-01-22_final
2019-02-01 11:05:55	ga_s2am_ard_3-2-1_52JBM_2019-02-01_final
2019-02-11 11:05:55	ga_s2am_ard_3-2-1_52JBM_2019-02-11_final
2019-03-03 11:05:53	ga_s2am_ard_3-2-1_52JBM_2019-03-03_final
2019-03-23 11:05:57	ga_s2am_ard_3-2-1_52JBM_2019-03-23_final
2019-04-12 11:06:00	ga_s2am_ard_3-2-1_52JBM_2019-04-12_final
2019-04-22 11:06:01	ga_s2am_ard_3-2-1_52JBM_2019-04-22_final
2019-05-02 11:06:02	ga_s2am_ard_3-2-1_52JBM_2019-05-02_final
2019-05-12 11:06:02	ga_s2am_ard_3-2-1_52JBM_2019-05-12_final
2019-05-22 11:06:02	ga_s2am_ard_3-2-1_52JBM_2019-05-22_final
2019-06-11 11:06:01	ga_s2am_ard_3-2-1_52JBM_2019-06-11_final
2019-07-21 11:06:03	ga_s2am_ard_3-2-1_52JBM_2019-07-21_final
2019-07-31 11:06:03	ga_s2am_ard_3-2-1_52JBM_2019-07-31_final
2019-08-10 11:06:02	ga_s2am_ard_3-2-1_52JBM_2019-08-10_final
2019-08-30 11:05:59	ga_s2am_ard_3-2-1_52JBM_2019-08-30_final
2019-10-19 11:05:59	ga_s2am_ard_3-2-1_52JBM_2019-10-19_final
2019-11-08 11:06:01	ga_s2am_ard_3-2-1_52JBM_2019-11-08_final
2019-11-18 11:06:00	ga_s2am_ard_3-2-1_52JBM_2019-11-18_final
2020-02-29 11:16:11	ga_s2am_ard_3-2-1_52HCK_2020-02-29_final.stac-item
2020-04-09 11:16:14	ga_s2am_ard_3-2-1_52HCK_2020-04-09_final.stac-item
2020-05-09 11:16:20	ga_s2am_ard_3-2-1_52HCK_2020-05-09_final.stac-item
2020-05-19 11:16:21	ga_s2am_ard_3-2-1_52HCK_2020-05-19_final.stac-item
2020-07-18 11:16:21	ga_s2am_ard_3-2-1_52HCK_2020-07-18_final.stac-item
2020-09-23 11:06:03	ga_s2am_ard_3-2-1_52JBM_2020-09-23_final
2020-10-26 11:16:21	ga_s2am_ard_3-2-1_52HCK_2020-10-26_final.stac-item
2020-11-05 11:16:20	ga_s2am_ard_3-2-1_52HCK_2020-11-05_final.stac-item
2020-11-15 11:16:19	ga_s2am_ard_3-2-1_52HCK_2020-11-15_final.stac-item
2021-02-03 11:16:16	ga_s2am_ard_3-2-1_52HCK_2021-02-03_final.stac-item
2021-04-04 11:16:12	ga_s2am_ard_3-2-1_52HCK_2021-04-04_final.stac-item
2021-06-13 11:16:16	ga_s2am_ard_3-2-1_52HCK_2021-06-13_final.stac-item
2021-09-01 11:16:17	ga_s2am_ard_3-2-1_52HCK_2021-09-01_final.stac-item
2021-09-11 11:16:16	ga_s2am_ard_3-2-1_52HCK_2021-09-11_final.stac-item
2021-11-10 11:16:18	ga_s2am_ard_3-2-1_52HCK_2021-11-10_final.stac-item
2021-12-20 11:16:17	ga_s2am_ard_3-2-1_52HCK_2021-12-20_final.stac-item
2022-06-15 11:06:09	ga_s2am_ard_3-2-1_52JBM_2022-06-15_final
2022-07-15 11:06:10	ga_s2am_ard_3-2-1_52JBM_2022-07-15_final
2022-12-05 11:16:16	ga_s2am_ard_3-2-1_52HCK_2022-12-05_final.stac-item
2023-01-24 11:16:12	ga_s2am_ard_3-2-1_52HCK_2023-01-24_final.stac-item
2023-02-03 11:16:15	ga_s2am_ard_3-2-1_52HCK_2023-02-03_final.stac-item
2023-03-05 11:16:13	ga_s2am_ard_3-2-1_52HCK_2023-03-05_final.stac-item
2023-03-15 11:16:13	ga_s2am_ard_3-2-1_52HCK_2023-03-15_final.stac-item
2023-03-25 11:16:14	ga_s2am_ard_3-2-1_52HCK_2023-03-25_final.stac-item
2023-04-14 11:16:16	ga_s2am_ard_3-2-1_52HCK_2023-04-14_final.stac-item
2023-05-04 11:16:16	ga_s2am_ard_3-2-1_52HCK_2023-05-04_final.stac-item
2023-05-14 11:16:16	ga_s2am_ard_3-2-1_52HCK_2023-05-14_final.stac-item
2023-06-03 11:16:20	ga_s2am_ard_3-2-1_52HCK_2023-06-03_final.stac-item
2023-06-13 11:16:20	ga_s2am_ard_3-2-1_52HCK_2023-06-13_final.stac-item
2023-06-23 11:16:19	ga_s2am_ard_3-2-1_52HCK_2023-06-23_final.stac-item
2023-07-03 11:16:21	ga_s2am_ard_3-2-1_52HCK_2023-07-03_final.stac-item
2023-07-13 11:16:21	ga_s2am_ard_3-2-1_52HCK_2023-07-13_final.stac-item
2023-07-23 11:16:20	ga_s2am_ard_3-2-1_52HCK_2023-07-23_final.stac-item
2023-08-02 11:16:21	ga_s2am_ard_3-2-1_52HCK_2023-08-02_final.stac-item
2023-08-29 11:06:33	ga_s2am_ard_3-2-1_52HBK_2023-08-29_final.stac-item
2023-09-01 11:16:21	ga_s2am_ard_3-2-1_52HCK_2023-09-01_final.stac-item
2023-09-11 11:16:21	ga_s2am_ard_3-2-1_52HCK_2023-09-11_final.stac-item
2023-11-20 11:16:13	ga_s2am_ard_3-2-1_52HCK_2023-11-20_final.stac-item
2023-11-30 11:16:07	ga_s2am_ard_3-2-1_52HCK_2023-11-30_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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