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
2019-08-01 10:32:34	ga_s2am_ard_3-2-1_54KUD_2019-08-01_final
2019-08-11 10:32:33	ga_s2am_ard_3-2-1_54KUD_2019-08-11_final
2019-08-21 10:32:32	ga_s2am_ard_3-2-1_54KUD_2019-08-21_final
2019-08-31 10:32:30	ga_s2am_ard_3-2-1_54KUD_2019-08-31_final
2019-09-10 10:32:28	ga_s2am_ard_3-2-1_54KUD_2019-09-10_final
2019-09-20 10:32:29	ga_s2am_ard_3-2-1_54KUD_2019-09-20_final
2019-09-30 10:32:31	ga_s2am_ard_3-2-1_54KUD_2019-09-30_final
2019-10-10 10:32:32	ga_s2am_ard_3-2-1_54KUD_2019-10-10_final
2019-10-20 10:32:32	ga_s2am_ard_3-2-1_54KUD_2019-10-20_final
2019-10-30 10:32:32	ga_s2am_ard_3-2-1_54KUD_2019-10-30_final
2019-11-09 10:32:32	ga_s2am_ard_3-2-1_54KUD_2019-11-09_final
2019-11-19 10:32:31	ga_s2am_ard_3-2-1_54KUD_2019-11-19_final
2019-11-29 10:32:29	ga_s2am_ard_3-2-1_54KUD_2019-11-29_final
2019-12-09 10:32:26	ga_s2am_ard_3-2-1_54KUD_2019-12-09_final
2019-12-19 10:32:23	ga_s2am_ard_3-2-1_54KUD_2019-12-19_final
2019-12-29 10:32:24	ga_s2am_ard_3-2-1_54KUD_2019-12-29_final
2020-01-08 10:32:24	ga_s2am_ard_3-2-1_54KUD_2020-01-08_final
2020-01-18 10:32:23	ga_s2am_ard_3-2-1_54KUD_2020-01-18_final
2020-01-28 10:32:22	ga_s2am_ard_3-2-1_54KUD_2020-01-28_final
2020-02-07 10:32:21	ga_s2am_ard_3-2-1_54KUD_2020-02-07_final
2020-02-17 10:32:23	ga_s2am_ard_3-2-1_54KUD_2020-02-17_final
2020-02-27 10:32:24	ga_s2am_ard_3-2-1_54KUD_2020-02-27_final
2020-03-08 10:32:25	ga_s2am_ard_3-2-1_54KUD_2020-03-08_final
2020-03-18 10:32:26	ga_s2am_ard_3-2-1_54KUD_2020-03-18_final
2020-03-28 10:32:25	ga_s2am_ard_3-2-1_54KUD_2020-03-28_final
2020-04-07 10:32:26	ga_s2am_ard_3-2-1_54KUD_2020-04-07_final
2020-04-17 10:32:29	ga_s2am_ard_3-2-1_54KUD_2020-04-17_final
2020-04-27 10:32:31	ga_s2am_ard_3-2-1_54KUD_2020-04-27_final
2020-05-07 10:32:33	ga_s2am_ard_3-2-1_54KUD_2020-05-07_final
2020-05-27 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-05-27_final
2020-06-06 10:32:36	ga_s2am_ard_3-2-1_54KUD_2020-06-06_final
2020-06-16 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-06-16_final
2020-06-26 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-06-26_final
2020-07-06 10:32:34	ga_s2am_ard_3-2-1_54KUD_2020-07-06_final
2020-07-16 10:32:34	ga_s2am_ard_3-2-1_54KUD_2020-07-16_final
2020-07-26 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-07-26_final
2020-08-05 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-08-05_final
2020-08-15 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-08-15_final
2020-08-25 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-08-25_final
2020-09-04 10:32:34	ga_s2am_ard_3-2-1_54KUD_2020-09-04_final
2020-09-14 10:32:33	ga_s2am_ard_3-2-1_54KUD_2020-09-14_final
2020-09-24 10:32:34	ga_s2am_ard_3-2-1_54KUD_2020-09-24_final
2020-10-14 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-10-14_final
2020-10-24 10:32:35	ga_s2am_ard_3-2-1_54KUD_2020-10-24_final
2020-11-03 10:32:34	ga_s2am_ard_3-2-1_54KUD_2020-11-03_final
2020-11-13 10:32:33	ga_s2am_ard_3-2-1_54KUD_2020-11-13_final
2020-11-23 10:32:31	ga_s2am_ard_3-2-1_54KUD_2020-11-23_final
2020-12-03 10:32:28	ga_s2am_ard_3-2-1_54KUD_2020-12-03_final
2022-01-11 10:16:32	ga_s2am_ard_3-2-1_54HUH_2022-01-11_final
2022-01-14 10:26:28	ga_s2am_ard_3-2-1_54HUH_2022-01-14_final
2022-01-21 10:16:31	ga_s2am_ard_3-2-1_54HUH_2022-01-21_final
2022-01-24 10:26:27	ga_s2am_ard_3-2-1_54HUH_2022-01-24_final
2022-01-31 10:16:31	ga_s2am_ard_3-2-1_54HUH_2022-01-31_final
2022-02-10 10:16:30	ga_s2am_ard_3-2-1_54HUH_2022-02-10_final
2022-02-20 10:16:33	ga_s2am_ard_3-2-1_54HUH_2022-02-20_final
2022-03-02 10:16:34	ga_s2am_ard_3-2-1_54HUH_2022-03-02_final
2022-03-12 10:16:35	ga_s2am_ard_3-2-1_54HUH_2022-03-12_final
2022-03-22 10:16:34	ga_s2am_ard_3-2-1_54HUH_2022-03-22_final
2022-04-01 10:16:33	ga_s2am_ard_3-2-1_54HUH_2022-04-01_final
2022-04-11 10:16:33	ga_s2am_ard_3-2-1_54HUH_2022-04-11_final
2022-04-21 10:16:35	ga_s2am_ard_3-2-1_54HUH_2022-04-21_final
2022-05-01 10:16:36	ga_s2am_ard_3-2-1_54HUH_2022-05-01_final
2022-05-11 10:16:35	ga_s2am_ard_3-2-1_54HUH_2022-05-11_final
2022-05-14 10:26:31	ga_s2am_ard_3-2-1_54HUH_2022-05-14_final
2022-05-21 10:16:37	ga_s2am_ard_3-2-1_54HUH_2022-05-21_final
2022-05-31 10:16:34	ga_s2am_ard_3-2-1_54HUH_2022-05-31_final
2022-05-31 10:16:41	ga_s2am_ard_3-2-1_54HUH_2022-05-31_final
2022-06-10 10:16:40	ga_s2am_ard_3-2-1_54HUH_2022-06-10_final
2022-06-20 10:16:43	ga_s2am_ard_3-2-1_54HUH_2022-06-20_final
2022-06-30 10:16:44	ga_s2am_ard_3-2-1_54HUH_2022-06-30_final
2022-07-10 10:16:44	ga_s2am_ard_3-2-1_54HUH_2022-07-10_final
2022-07-20 10:16:43	ga_s2am_ard_3-2-1_54HUH_2022-07-20_final
2022-07-30 10:16:41	ga_s2am_ard_3-2-1_54HUH_2022-07-30_final
2022-08-09 10:16:43	ga_s2am_ard_3-2-1_54HUH_2022-08-09_final
2022-08-19 10:16:44	ga_s2am_ard_3-2-1_54HUH_2022-08-19_final
2022-08-29 10:16:43	ga_s2am_ard_3-2-1_54HUH_2022-08-29_final
2022-09-08 10:16:42	ga_s2am_ard_3-2-1_54HUH_2022-09-08_final.stac-item
2022-09-18 10:16:40	ga_s2am_ard_3-2-1_54HUH_2022-09-18_final.stac-item
2022-09-28 10:16:38	ga_s2am_ard_3-2-1_54HUH_2022-09-28_final.stac-item
2022-10-08 10:16:37	ga_s2am_ard_3-2-1_54HUH_2022-10-08_final.stac-item
2022-10-18 10:16:34	ga_s2am_ard_3-2-1_54HUH_2022-10-18_final.stac-item
2022-10-21 10:26:28	ga_s2am_ard_3-2-1_54HUH_2022-10-21_final.stac-item
2022-10-28 10:16:34	ga_s2am_ard_3-2-1_54HUH_2022-10-28_final.stac-item
2022-11-07 10:16:35	ga_s2am_ard_3-2-1_54HUH_2022-11-07_final.stac-item
2022-11-17 10:16:33	ga_s2am_ard_3-2-1_54HUH_2022-11-17_final.stac-item
2022-11-27 10:16:30	ga_s2am_ard_3-2-1_54HUH_2022-11-27_final.stac-item
2022-12-07 10:16:31	ga_s2am_ard_3-2-1_54HUH_2022-12-07_final.stac-item
2022-12-17 10:16:30	ga_s2am_ard_3-2-1_54HUH_2022-12-17_final.stac-item
2022-12-27 10:16:29	ga_s2am_ard_3-2-1_54HUH_2022-12-27_final.stac-item
2023-01-06 10:16:30	ga_s2am_ard_3-2-1_54HUH_2023-01-06_final.stac-item
2023-01-16 10:16:27	ga_s2am_ard_3-2-1_54HUH_2023-01-16_final.stac-item
2023-01-19 10:26:22	ga_s2am_ard_3-2-1_54HUH_2023-01-19_final.stac-item
2023-01-26 10:16:28	ga_s2am_ard_3-2-1_54HUH_2023-01-26_final.stac-item
2023-02-05 10:16:30	ga_s2am_ard_3-2-1_54HUH_2023-02-05_final.stac-item
2023-02-15 10:16:28	ga_s2am_ard_3-2-1_54HUH_2023-02-15_final.stac-item
2023-02-25 10:16:29	ga_s2am_ard_3-2-1_54HUH_2023-02-25_final.stac-item
2023-03-07 10:16:27	ga_s2am_ard_3-2-1_54HUH_2023-03-07_final.stac-item
2023-03-10 10:26:22	ga_s2am_ard_3-2-1_54HUH_2023-03-10_final.stac-item
2023-03-17 10:16:29	ga_s2am_ard_3-2-1_54HUH_2023-03-17_final.stac-item
2023-03-27 10:16:29	ga_s2am_ard_3-2-1_54HUH_2023-03-27_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

All years