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
2017-11-28 09:22:39	ga_s2am_ard_3-2-1_56JNR_2017-11-27_final.stac-item
2017-12-08 09:22:39	ga_s2am_ard_3-2-1_56JNR_2017-12-07_final.stac-item
2017-12-18 09:22:39	ga_s2am_ard_3-2-1_56JNR_2017-12-17_final.stac-item
2018-01-07 09:22:37	ga_s2am_ard_3-2-1_56JNR_2018-01-06_final.stac-item
2018-01-27 09:22:39	ga_s2am_ard_3-2-1_56JNR_2018-01-26_final.stac-item
2018-02-16 09:23:21	ga_s2am_ard_3-2-1_56JNR_2018-02-15_final.stac-item
2018-03-08 09:22:41	ga_s2am_ard_3-2-1_56JNR_2018-03-07_final.stac-item
2018-03-28 09:22:43	ga_s2am_ard_3-2-1_56JNR_2018-03-27_final.stac-item
2018-04-07 09:22:45	ga_s2am_ard_3-2-1_56JNR_2018-04-06_final.stac-item
2018-05-17 09:23:29	ga_s2am_ard_3-2-1_56JNR_2018-05-16_final.stac-item
2018-05-27 09:22:46	ga_s2am_ard_3-2-1_56JNR_2018-05-26_final.stac-item
2018-07-06 09:23:51	ga_s2am_ard_3-2-1_56JNR_2018-07-05_final.stac-item
2020-09-08 10:14:32	ga_s2am_ard_3-2-1_54JWR_2020-09-08_final
2020-11-27 10:14:29	ga_s2am_ard_3-2-1_54JWR_2020-11-27_final
2020-12-27 10:14:28	ga_s2am_ard_3-2-1_54JWR_2020-12-27_final
2021-02-15 10:14:27	ga_s2am_ard_3-2-1_54JWR_2021-02-15_final
2021-02-25 10:14:28	ga_s2am_ard_3-2-1_54JWR_2021-02-25_final
2021-03-07 10:14:28	ga_s2am_ard_3-2-1_54JWR_2021-03-07_final
2021-03-17 10:14:27	ga_s2am_ard_3-2-1_54JWR_2021-03-17_final
2021-03-27 10:14:26	ga_s2am_ard_3-2-1_54JWR_2021-03-27_final
2021-04-04 09:34:05	ga_s2am_ard_3-2-1_56JMR_2021-04-04_final
2021-04-06 10:14:24	ga_s2am_ard_3-2-1_54JWR_2021-04-06_final
2021-04-14 09:34:02	ga_s2am_ard_3-2-1_56JMR_2021-04-14_final
2021-04-16 10:14:22	ga_s2am_ard_3-2-1_54JWR_2021-04-16_final
2021-04-24 09:34:04	ga_s2am_ard_3-2-1_56JMR_2021-04-24_final
2021-04-26 10:14:25	ga_s2am_ard_3-2-1_54JWR_2021-04-26_final
2021-05-04 09:34:06	ga_s2am_ard_3-2-1_56JMR_2021-05-04_final
2021-05-14 09:34:08	ga_s2am_ard_3-2-1_56JMR_2021-05-14_final
2021-05-24 09:34:09	ga_s2am_ard_3-2-1_56JMR_2021-05-24_final
2021-06-03 09:34:09	ga_s2am_ard_3-2-1_56JMR_2021-06-03_final
2021-06-13 09:34:09	ga_s2am_ard_3-2-1_56JMR_2021-06-13_final
2021-06-23 09:34:09	ga_s2am_ard_3-2-1_56JMR_2021-06-23_final
2021-07-03 09:34:10	ga_s2am_ard_3-2-1_56JMR_2021-07-03_final
2021-07-13 09:34:11	ga_s2am_ard_3-2-1_56JMR_2021-07-13_final
2021-07-23 09:34:11	ga_s2am_ard_3-2-1_56JMR_2021-07-23_final
2021-08-02 09:34:11	ga_s2am_ard_3-2-1_56JMR_2021-08-02_final
2021-08-12 09:34:11	ga_s2am_ard_3-2-1_56JMR_2021-08-12_final
2021-08-22 09:34:10	ga_s2am_ard_3-2-1_56JMR_2021-08-22_final
2021-09-01 09:34:09	ga_s2am_ard_3-2-1_56JMR_2021-09-01_final
2021-09-11 09:34:08	ga_s2am_ard_3-2-1_56JMR_2021-09-11_final
2021-09-21 09:34:11	ga_s2am_ard_3-2-1_56JMR_2021-09-21_final
2021-10-01 09:34:12	ga_s2am_ard_3-2-1_56JMR_2021-10-01_final
2021-10-11 09:34:13	ga_s2am_ard_3-2-1_56JMR_2021-10-11_final
2021-10-21 09:34:13	ga_s2am_ard_3-2-1_56JMR_2021-10-21_final
2021-10-31 09:34:13	ga_s2am_ard_3-2-1_56JMR_2021-10-31_final
2021-11-20 09:34:08	ga_s2am_ard_3-2-1_56JMR_2021-11-20_final
2021-11-30 09:34:08	ga_s2am_ard_3-2-1_56JMR_2021-11-30_final
2021-12-10 09:34:07	ga_s2am_ard_3-2-1_56JMR_2021-12-10_final
2021-12-20 09:34:09	ga_s2am_ard_3-2-1_56JMR_2021-12-20_final
2021-12-30 09:34:10	ga_s2am_ard_3-2-1_56JMR_2021-12-30_final
2022-01-09 09:34:09	ga_s2am_ard_3-2-1_56JMR_2022-01-09_final
2022-01-29 09:34:08	ga_s2am_ard_3-2-1_56JMR_2022-01-29_final
2022-02-08 09:34:07	ga_s2am_ard_3-2-1_56JMR_2022-02-08_final
2022-02-18 09:34:09	ga_s2am_ard_3-2-1_56JMR_2022-02-18_final
2022-02-28 09:34:11	ga_s2am_ard_3-2-1_56JMR_2022-02-28_final
2022-03-10 09:34:12	ga_s2am_ard_3-2-1_56JMR_2022-03-10_final
2022-03-20 09:34:12	ga_s2am_ard_3-2-1_56JMR_2022-03-20_final
2022-03-30 09:34:10	ga_s2am_ard_3-2-1_56JMR_2022-03-30_final
2022-04-09 09:34:09	ga_s2am_ard_3-2-1_56JMR_2022-04-09_final
2022-04-19 09:34:12	ga_s2am_ard_3-2-1_56JMR_2022-04-19_final
2022-04-29 09:34:13	ga_s2am_ard_3-2-1_56JMR_2022-04-29_final
2022-05-09 09:34:12	ga_s2am_ard_3-2-1_56JMR_2022-05-09_final
2022-05-19 09:34:14	ga_s2am_ard_3-2-1_56JMR_2022-05-19_final
2022-05-29 09:34:16	ga_s2am_ard_3-2-1_56JMR_2022-05-29_final
2022-06-08 09:34:16	ga_s2am_ard_3-2-1_56JMR_2022-06-08_final
2022-06-18 09:34:19	ga_s2am_ard_3-2-1_56JMR_2022-06-18_final
2022-06-28 09:34:21	ga_s2am_ard_3-2-1_56JMR_2022-06-28_final
2022-07-08 09:34:21	ga_s2am_ard_3-2-1_56JMR_2022-07-08_final
2022-07-18 09:34:20	ga_s2am_ard_3-2-1_56JMR_2022-07-18_final
2022-07-28 09:34:18	ga_s2am_ard_3-2-1_56JMR_2022-07-28_final
2022-08-07 09:34:19	ga_s2am_ard_3-2-1_56JMR_2022-08-07_final
2022-08-17 09:34:21	ga_s2am_ard_3-2-1_56JMR_2022-08-17_final
2022-09-06 09:34:20	ga_s2am_ard_3-2-1_56JMR_2022-09-06_final.stac-item
2022-09-16 09:34:17	ga_s2am_ard_3-2-1_56JMR_2022-09-16_final.stac-item
2022-09-26 09:34:15	ga_s2am_ard_3-2-1_56JMR_2022-09-26_final.stac-item
2022-10-06 09:34:15	ga_s2am_ard_3-2-1_56JMR_2022-10-06_final.stac-item
2022-10-16 09:34:12	ga_s2am_ard_3-2-1_56JMR_2022-10-16_final.stac-item
2022-10-26 09:34:11	ga_s2am_ard_3-2-1_56JMR_2022-10-26_final.stac-item
2022-11-05 09:34:12	ga_s2am_ard_3-2-1_56JMR_2022-11-05_final.stac-item
2022-11-15 09:34:11	ga_s2am_ard_3-2-1_56JMR_2022-11-15_final.stac-item
2022-11-25 09:34:07	ga_s2am_ard_3-2-1_56JMR_2022-11-25_final.stac-item
2022-12-05 09:34:09	ga_s2am_ard_3-2-1_56JMR_2022-12-05_final.stac-item
2022-12-15 09:34:08	ga_s2am_ard_3-2-1_56JMR_2022-12-15_final.stac-item
2023-01-04 09:34:07	ga_s2am_ard_3-2-1_56JMR_2023-01-04_final.stac-item
2023-01-14 09:34:05	ga_s2am_ard_3-2-1_56JMR_2023-01-14_final.stac-item
2023-01-24 09:34:05	ga_s2am_ard_3-2-1_56JMR_2023-01-24_final.stac-item
2023-02-03 09:34:07	ga_s2am_ard_3-2-1_56JMR_2023-02-03_final.stac-item
2023-02-13 09:34:06	ga_s2am_ard_3-2-1_56JMR_2023-02-13_final.stac-item
2023-02-23 09:34:06	ga_s2am_ard_3-2-1_56JMR_2023-02-23_final.stac-item
2023-03-05 09:34:05	ga_s2am_ard_3-2-1_56JMR_2023-03-05_final.stac-item
2023-03-15 09:34:05	ga_s2am_ard_3-2-1_56JMR_2023-03-15_final.stac-item
2023-03-25 09:34:07	ga_s2am_ard_3-2-1_56JMR_2023-03-25_final.stac-item
2023-04-04 09:34:08	ga_s2am_ard_3-2-1_56JMR_2023-04-04_final.stac-item
2023-04-14 09:34:08	ga_s2am_ard_3-2-1_56JMR_2023-04-14_final.stac-item
2023-04-24 09:34:08	ga_s2am_ard_3-2-1_56JMR_2023-04-24_final.stac-item
2023-05-04 09:34:08	ga_s2am_ard_3-2-1_56JMR_2023-05-04_final.stac-item
2023-05-14 09:34:08	ga_s2am_ard_3-2-1_56JMR_2023-05-14_final.stac-item
2023-05-24 09:34:11	ga_s2am_ard_3-2-1_56JMR_2023-05-24_final.stac-item
2023-06-03 09:34:12	ga_s2am_ard_3-2-1_56JMR_2023-06-03_final.stac-item
2023-06-13 09:34:12	ga_s2am_ard_3-2-1_56JMR_2023-06-13_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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