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
2015-10-21 10:31:39	ga_s2am_ard_3-2-1_53KPP_2015-10-21_final.stac-item
2015-11-20 10:31:10	ga_s2am_ard_3-2-1_53KPP_2015-11-20_final.stac-item
2016-05-08 10:28:07	ga_s2am_ard_3-2-1_53KPP_2016-05-08_final.stac-item
2016-05-28 10:28:07	ga_s2am_ard_3-2-1_53KPP_2016-05-28_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53KPP_2016-07-27_final.stac-item
2019-12-09 10:33:50	ga_s2am_ard_3-2-1_53KPP_2019-12-09_final
2019-12-19 10:33:47	ga_s2am_ard_3-2-1_53KPP_2019-12-19_final
2019-12-29 10:33:47	ga_s2am_ard_3-2-1_53KPP_2019-12-29_final
2020-01-08 10:33:47	ga_s2am_ard_3-2-1_53KPP_2020-01-08_final
2020-01-18 10:33:47	ga_s2am_ard_3-2-1_53KPP_2020-01-18_final
2020-01-28 10:33:46	ga_s2am_ard_3-2-1_53KPP_2020-01-28_final
2020-02-07 10:33:45	ga_s2am_ard_3-2-1_53KPP_2020-02-07_final
2020-02-17 10:33:46	ga_s2am_ard_3-2-1_53KPP_2020-02-17_final
2020-02-27 10:33:48	ga_s2am_ard_3-2-1_53KPP_2020-02-27_final
2020-03-08 10:33:49	ga_s2am_ard_3-2-1_53KPP_2020-03-08_final
2020-03-18 10:33:49	ga_s2am_ard_3-2-1_53KPP_2020-03-18_final
2020-03-28 10:33:49	ga_s2am_ard_3-2-1_53KPP_2020-03-28_final
2020-04-07 10:33:50	ga_s2am_ard_3-2-1_53KPP_2020-04-07_final
2020-04-17 10:33:53	ga_s2am_ard_3-2-1_53KPP_2020-04-17_final
2020-04-27 10:33:55	ga_s2am_ard_3-2-1_53KPP_2020-04-27_final
2020-05-07 10:33:57	ga_s2am_ard_3-2-1_53KPP_2020-05-07_final
2020-05-27 10:33:59	ga_s2am_ard_3-2-1_53KPP_2020-05-27_final
2020-06-06 10:33:59	ga_s2am_ard_3-2-1_53KPP_2020-06-06_final
2020-06-16 10:33:59	ga_s2am_ard_3-2-1_53KPP_2020-06-16_final
2020-06-26 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-06-26_final
2020-07-06 10:33:57	ga_s2am_ard_3-2-1_53KPP_2020-07-06_final
2020-07-16 10:33:57	ga_s2am_ard_3-2-1_53KPP_2020-07-16_final
2020-07-26 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-07-26_final
2020-08-05 10:33:59	ga_s2am_ard_3-2-1_53KPP_2020-08-05_final
2020-08-15 10:33:59	ga_s2am_ard_3-2-1_53KPP_2020-08-15_final
2020-08-25 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-08-25_final
2020-09-04 10:33:57	ga_s2am_ard_3-2-1_53KPP_2020-09-04_final
2020-09-14 10:33:57	ga_s2am_ard_3-2-1_53KPP_2020-09-14_final
2020-09-24 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-09-24_final
2020-10-14 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-10-14_final
2020-10-24 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-10-24_final
2020-11-03 10:33:58	ga_s2am_ard_3-2-1_53KPP_2020-11-03_final
2020-11-13 10:33:56	ga_s2am_ard_3-2-1_53KPP_2020-11-13_final
2020-11-23 10:33:55	ga_s2am_ard_3-2-1_53KPP_2020-11-23_final
2020-12-03 10:33:52	ga_s2am_ard_3-2-1_53KPP_2020-12-03_final
2020-12-13 10:33:50	ga_s2am_ard_3-2-1_53KPP_2020-12-13_final
2020-12-23 10:33:52	ga_s2am_ard_3-2-1_53KPP_2020-12-23_final
2021-01-02 10:33:53	ga_s2am_ard_3-2-1_53KPP_2021-01-02_final
2021-01-12 10:33:53	ga_s2am_ard_3-2-1_53KPP_2021-01-12_final
2021-01-22 10:33:53	ga_s2am_ard_3-2-1_53KPP_2021-01-22_final
2021-02-01 10:33:53	ga_s2am_ard_3-2-1_53KPP_2021-02-01_final
2021-02-11 10:33:51	ga_s2am_ard_3-2-1_53KPP_2021-02-11_final
2021-02-21 10:33:52	ga_s2am_ard_3-2-1_53KPP_2021-02-21_final
2021-03-03 10:33:53	ga_s2am_ard_3-2-1_53KPP_2021-03-03_final
2021-03-13 10:33:52	ga_s2am_ard_3-2-1_53KPP_2021-03-13_final
2021-03-23 10:33:51	ga_s2am_ard_3-2-1_53KPP_2021-03-23_final
2021-04-02 10:33:50	ga_s2am_ard_3-2-1_53KPP_2021-04-02_final
2021-04-12 10:33:47	ga_s2am_ard_3-2-1_53KPP_2021-04-12_final
2021-04-22 10:33:48	ga_s2am_ard_3-2-1_53KPP_2021-04-22_final
2021-10-16 10:27:20	ga_s2am_ard_3-2-1_53HPV_2021-10-16_final.stac-item
2021-11-05 10:27:19	ga_s2am_ard_3-2-1_53HPV_2021-11-05_final.stac-item
2022-03-15 10:27:19	ga_s2am_ard_3-2-1_53HPV_2022-03-15_final.stac-item
2022-08-02 10:27:26	ga_s2am_ard_3-2-1_53HPV_2022-08-02_final.stac-item
2022-09-01 10:27:27	ga_s2am_ard_3-2-1_53HPV_2022-09-01_final.stac-item
2022-12-23 10:35:25	ga_s2am_ard_3-2-1_53JPG_2022-12-23_final.stac-item
2023-01-22 10:34:16	ga_s2am_ard_3-2-1_53JPM_2023-01-22_final.stac-item
2023-05-15 10:41:24	ga_s2am_ard_3-2-1_53LPD_2023-05-15_final.stac-item
2023-05-25 10:41:27	ga_s2am_ard_3-2-1_53LPD_2023-05-25_final.stac-item
2023-06-04 10:41:27	ga_s2am_ard_3-2-1_53LPD_2023-06-04_final.stac-item
2023-06-14 10:41:27	ga_s2am_ard_3-2-1_53LPD_2023-06-14_final.stac-item
2023-06-24 10:41:27	ga_s2am_ard_3-2-1_53LPD_2023-06-24_final.stac-item
2023-07-04 10:41:28	ga_s2am_ard_3-2-1_53LPD_2023-07-04_final.stac-item
2023-07-14 10:41:28	ga_s2am_ard_3-2-1_53LPD_2023-07-14_nrt.stac-item
2023-07-24 10:41:28	ga_s2am_ard_3-2-1_53LPD_2023-07-24_final.stac-item
2023-08-03 10:41:29	ga_s2am_ard_3-2-1_53LPD_2023-08-03_final.stac-item
2023-08-13 10:41:28	ga_s2am_ard_3-2-1_53LPD_2023-08-13_final.stac-item
2023-08-23 10:41:29	ga_s2am_ard_3-2-1_53LPD_2023-08-23_final.stac-item
2023-09-02 10:41:29	ga_s2am_ard_3-2-1_53LPD_2023-09-02_final.stac-item
2023-09-12 10:41:28	ga_s2am_ard_3-2-1_53LPD_2023-09-12_final.stac-item
2023-09-22 10:41:25	ga_s2am_ard_3-2-1_53LPD_2023-09-22_final.stac-item
2023-10-02 10:41:25	ga_s2am_ard_3-2-1_53LPD_2023-10-02_final.stac-item
2023-10-12 10:41:21	ga_s2am_ard_3-2-1_53LPD_2023-10-12_final.stac-item
2023-10-22 10:41:23	ga_s2am_ard_3-2-1_53LPD_2023-10-22_final.stac-item
2023-11-01 10:41:22	ga_s2am_ard_3-2-1_53LPD_2023-11-01_final.stac-item
2023-11-11 10:41:23	ga_s2am_ard_3-2-1_53LPD_2023-11-11_final.stac-item
2023-11-21 10:41:20	ga_s2am_ard_3-2-1_53LPD_2023-11-21_final.stac-item
2023-12-01 10:41:15	ga_s2am_ard_3-2-1_53LPD_2023-12-01_final.stac-item
2023-12-11 10:41:18	ga_s2am_ard_3-2-1_53LPD_2023-12-11_final.stac-item
2023-12-21 10:41:19	ga_s2am_ard_3-2-1_53LPD_2023-12-21_final.stac-item
2023-12-31 10:41:20	ga_s2am_ard_3-2-1_53LPD_2023-12-31_final.stac-item
2024-01-10 10:41:18	ga_s2am_ard_3-2-1_53LPD_2024-01-10_final.stac-item
2024-01-20 10:41:15	ga_s2am_ard_3-2-1_53LPD_2024-01-20_final.stac-item
2024-01-30 10:41:19	ga_s2am_ard_3-2-1_53LPD_2024-01-30_final.stac-item
2024-02-09 10:41:13	ga_s2am_ard_3-2-1_53LPD_2024-02-09_final.stac-item
2024-02-09 10:41:20	ga_s2am_ard_3-2-1_53LPD_2024-02-09_final.stac-item
2024-02-19 10:41:21	ga_s2am_ard_3-2-1_53LPD_2024-02-19_final.stac-item
2024-02-29 10:41:23	ga_s2am_ard_3-2-1_53LPD_2024-02-29_final.stac-item
2024-03-10 10:41:24	ga_s2am_ard_3-2-1_53LPD_2024-03-10_final.stac-item
2024-03-20 10:41:24	ga_s2am_ard_3-2-1_53LPD_2024-03-20_final.stac-item
2024-03-30 10:41:23	ga_s2am_ard_3-2-1_53LPD_2024-03-30_final.stac-item
2024-04-09 10:41:23	ga_s2am_ard_3-2-1_53LPD_2024-04-09_final.stac-item
2024-04-19 10:41:27	ga_s2am_ard_3-2-1_53LPD_2024-04-19_final.stac-item
2024-04-29 10:41:26	ga_s2am_ard_3-2-1_53LPD_2024-04-29_final.stac-item
2024-05-09 10:41:26	ga_s2am_ard_3-2-1_53LPD_2024-05-09_final.stac-item
2024-05-19 10:41:25	ga_s2am_ard_3-2-1_53LPD_2024-05-19_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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