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
2016-04-29 11:42:00	ga_s2am_ard_3-2-1_50HPG_2016-04-29_final.stac-item
2017-04-14 11:38:34	ga_s2am_ard_3-2-1_50JPQ_2017-04-14_final.stac-item
2019-11-17 11:37:22	ga_s2am_ard_3-2-1_50HPG_2019-11-17_final.stac-item
2020-03-09 11:47:06	ga_s2am_ard_3-2-1_50HPG_2020-03-09_final.stac-item
2020-06-07 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-06-07_final.stac-item
2021-03-11 11:37:12	ga_s2am_ard_3-2-1_50HPG_2021-03-11_final.stac-item
2021-04-10 11:37:08	ga_s2am_ard_3-2-1_50HPG_2021-04-10_final.stac-item
2021-05-20 11:37:13	ga_s2am_ard_3-2-1_50HPG_2021-05-20_final.stac-item
2021-06-09 11:37:13	ga_s2am_ard_3-2-1_50HPG_2021-06-09_final.stac-item
2021-07-09 11:37:15	ga_s2am_ard_3-2-1_50HPG_2021-07-09_final.stac-item
2021-07-29 11:37:16	ga_s2am_ard_3-2-1_50HPG_2021-07-29_final.stac-item
2021-09-07 11:37:13	ga_s2am_ard_3-2-1_50HPG_2021-09-07_final.stac-item
2021-10-07 11:37:17	ga_s2am_ard_3-2-1_50HPG_2021-10-07_final.stac-item
2021-11-26 11:37:17	ga_s2am_ard_3-2-1_50HPG_2021-11-26_final.stac-item
2022-01-18 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2022-01-18_final
2022-02-07 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2022-02-07_final
2022-02-17 11:46:49	ga_s2am_ard_3-2-1_50HPJ_2022-02-17_final
2022-02-27 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2022-02-27_final
2022-03-16 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2022-03-16_final
2022-03-19 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-03-19_final
2022-03-29 11:46:50	ga_s2am_ard_3-2-1_50HPJ_2022-03-29_final
2022-04-15 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2022-04-15_final
2022-04-18 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-04-18_final
2022-04-28 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2022-04-28_final
2022-05-08 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2022-05-08_final
2022-05-28 11:46:55	ga_s2am_ard_3-2-1_50HPJ_2022-05-28_final
2022-06-17 11:46:59	ga_s2am_ard_3-2-1_50HPJ_2022-06-17_final
2022-06-24 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-06-24_final
2022-06-27 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-06-27_final
2022-07-04 11:37:05	ga_s2am_ard_3-2-1_50HPJ_2022-07-04_final
2022-07-07 11:47:01	ga_s2am_ard_3-2-1_50HPJ_2022-07-07_final
2022-07-14 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-07-14_final
2022-07-17 11:47:00	ga_s2am_ard_3-2-1_50HPJ_2022-07-17_final
2022-08-16 11:47:00	ga_s2am_ard_3-2-1_50HPJ_2022-08-16_final
2022-08-23 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-08-23_final
2022-12-01 11:37:07	ga_s2am_ard_3-2-1_50HPH_2022-12-01_final.stac-item
2022-12-11 11:37:07	ga_s2am_ard_3-2-1_50HPH_2022-12-11_final.stac-item
2022-12-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-21_final.stac-item
2022-12-31 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-31_final.stac-item
2023-01-10 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-10_final.stac-item
2023-01-20 11:37:01	ga_s2am_ard_3-2-1_50HPH_2023-01-20_final.stac-item
2023-01-30 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-30_final.stac-item
2023-02-02 11:47:11	ga_s2am_ard_3-2-1_50HPG_2023-02-02_final.stac-item
2023-02-09 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-02-09_final.stac-item
2023-02-12 11:46:12	ga_s2am_ard_3-2-1_50JPL_2023-02-12_final.stac-item
2023-02-19 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-02-19_final.stac-item
2023-03-01 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-03-01_final.stac-item
2023-03-11 11:37:02	ga_s2am_ard_3-2-1_50HPH_2023-03-11_final.stac-item
2023-03-21 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-03-21_final.stac-item
2023-03-31 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-03-31_final.stac-item
2023-04-10 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-04-10_final.stac-item
2023-04-20 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-04-20_final.stac-item
2023-04-30 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-04-30_final.stac-item
2023-05-03 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2023-05-03_final.stac-item
2023-05-10 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-05-10_final.stac-item
2023-05-20 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-20_final.stac-item
2023-05-20 11:37:09	ga_s2am_ard_3-2-1_50HPH_2023-05-20_final.stac-item
2023-05-30 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-05-30_final.stac-item
2023-06-09 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-06-09_final.stac-item
2023-06-19 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-19_final.stac-item
2023-06-29 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-29_final.stac-item
2023-07-09 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-07-09_final.stac-item
2023-07-19 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-07-19_final.stac-item
2023-07-29 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-07-29_final.stac-item
2023-08-08 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-08-08_final.stac-item
2023-08-08 11:37:32	ga_s2am_ard_3-2-1_50HPF_2023-08-08_nrt.stac-item
2023-08-11 11:46:16	ga_s2am_ard_3-2-1_50JPL_2023-08-11_final.stac-item
2023-08-18 11:37:13	ga_s2am_ard_3-2-1_50HPH_2023-08-18_final.stac-item
2023-08-28 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-08-28_final.stac-item
2023-09-07 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-09-07_final.stac-item
2023-09-17 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-09-17_final.stac-item
2023-09-27 11:37:09	ga_s2am_ard_3-2-1_50HPH_2023-09-27_final.stac-item
2023-10-07 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-10-07_final.stac-item
2023-10-17 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-10-17_final.stac-item
2023-10-27 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-10-27_final.stac-item
2023-11-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2023-11-06_final.stac-item
2023-11-16 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-11-16_final.stac-item
2023-11-26 11:37:01	ga_s2am_ard_3-2-1_50HPH_2023-11-26_final.stac-item
2023-12-06 11:37:00	ga_s2am_ard_3-2-1_50HPH_2023-12-06_final.stac-item
2023-12-16 11:37:03	ga_s2am_ard_3-2-1_50HPH_2023-12-16_final.stac-item
2023-12-26 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-12-26_final.stac-item
2024-01-05 11:37:03	ga_s2am_ard_3-2-1_50HPH_2024-01-05_final.stac-item
2024-01-15 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-15_final.stac-item
2024-01-25 11:37:00	ga_s2am_ard_3-2-1_50HPH_2024-01-25_final.stac-item
2024-02-04 11:37:02	ga_s2am_ard_3-2-1_50HPH_2024-02-04_final.stac-item
2024-02-14 11:37:04	ga_s2am_ard_3-2-1_50HPH_2024-02-14_final.stac-item
2024-02-24 11:37:05	ga_s2am_ard_3-2-1_50HPH_2024-02-24_final.stac-item
2024-02-24 11:37:18	ga_s2am_ard_3-2-1_50HPG_2024-02-24_final.stac-item
2024-03-05 11:37:07	ga_s2am_ard_3-2-1_50HPH_2024-03-05_final.stac-item
2024-03-05 11:37:18	ga_s2am_ard_3-2-1_50HPG_2024-03-05_final.stac-item
2024-03-15 11:37:06	ga_s2am_ard_3-2-1_50HPH_2024-03-15_final.stac-item
2024-03-15 11:37:19	ga_s2am_ard_3-2-1_50HPG_2024-03-15_final.stac-item
2024-03-25 11:37:01	ga_s2am_ard_3-2-1_50HPH_2024-03-25_final.stac-item
2024-03-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2024-03-25_final.stac-item
2024-04-04 11:37:04	ga_s2am_ard_3-2-1_50HPH_2024-04-04_final.stac-item
2024-04-14 11:37:09	ga_s2am_ard_3-2-1_50HPH_2024-04-14_final.stac-item
2024-04-24 11:37:08	ga_s2am_ard_3-2-1_50HPH_2024-04-24_final.stac-item
2024-04-24 11:37:15	ga_s2am_ard_3-2-1_50HPH_2024-04-24_final.stac-item
2024-05-04 11:37:09	ga_s2am_ard_3-2-1_50HPH_2024-05-04_final.stac-item
2024-05-14 11:37:10	ga_s2am_ard_3-2-1_50HPH_2024-05-14_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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