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
2019-12-01 09:36:10	ga_s2am_ard_3-2-1_56HKH_2019-12-01_final
2019-12-11 09:36:08	ga_s2am_ard_3-2-1_56HKH_2019-12-11_final
2019-12-21 09:36:05	ga_s2am_ard_3-2-1_56HKH_2019-12-21_final
2019-12-31 09:36:06	ga_s2am_ard_3-2-1_56HKH_2019-12-31_final
2020-01-10 09:36:06	ga_s2am_ard_3-2-1_56HKH_2020-01-10_final
2020-01-20 09:36:05	ga_s2am_ard_3-2-1_56HKH_2020-01-20_final
2020-01-30 09:36:04	ga_s2am_ard_3-2-1_56HKH_2020-01-30_final
2020-02-09 09:36:04	ga_s2am_ard_3-2-1_56HKH_2020-02-09_final
2020-02-19 09:36:05	ga_s2am_ard_3-2-1_56HKH_2020-02-19_final
2020-02-29 09:36:07	ga_s2am_ard_3-2-1_56HKH_2020-02-29_final
2020-03-10 09:36:07	ga_s2am_ard_3-2-1_56HKH_2020-03-10_final
2020-03-20 09:36:08	ga_s2am_ard_3-2-1_56HKH_2020-03-20_final
2020-03-30 09:36:07	ga_s2am_ard_3-2-1_56HKH_2020-03-30_final
2020-04-09 09:36:09	ga_s2am_ard_3-2-1_56HKH_2020-04-09_final
2020-04-19 09:36:12	ga_s2am_ard_3-2-1_56HKH_2020-04-19_final
2020-04-29 09:36:14	ga_s2am_ard_3-2-1_56HKH_2020-04-29_final
2020-05-09 09:36:16	ga_s2am_ard_3-2-1_56HKH_2020-05-09_final
2020-05-19 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-05-19_final
2020-05-29 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-05-29_final
2020-06-08 09:36:18	ga_s2am_ard_3-2-1_56HKH_2020-06-08_final
2020-06-18 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-06-18_final
2020-06-28 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-06-28_final
2020-07-08 09:36:16	ga_s2am_ard_3-2-1_56HKH_2020-07-08_final
2020-07-18 09:36:16	ga_s2am_ard_3-2-1_56HKH_2020-07-18_final
2020-07-28 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-07-28_final
2020-08-07 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-08-07_final
2020-08-17 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-08-17_final
2020-08-27 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-08-27_final
2020-09-06 09:36:16	ga_s2am_ard_3-2-1_56HKH_2020-09-06_final
2020-09-16 09:36:16	ga_s2am_ard_3-2-1_56HKH_2020-09-16_final
2020-09-26 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-09-26_final
2020-10-16 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-10-16_final
2020-10-26 09:36:17	ga_s2am_ard_3-2-1_56HKH_2020-10-26_final
2020-11-05 09:36:16	ga_s2am_ard_3-2-1_56HKH_2020-11-05_final
2020-11-15 09:36:15	ga_s2am_ard_3-2-1_56HKH_2020-11-15_final
2020-11-25 09:36:13	ga_s2am_ard_3-2-1_56HKH_2020-11-25_final
2020-12-05 09:36:10	ga_s2am_ard_3-2-1_56HKH_2020-12-05_final
2020-12-15 09:36:09	ga_s2am_ard_3-2-1_56HKH_2020-12-15_final
2020-12-25 09:36:11	ga_s2am_ard_3-2-1_56HKH_2020-12-25_final
2021-01-04 09:36:12	ga_s2am_ard_3-2-1_56HKH_2021-01-04_final
2021-01-14 09:36:12	ga_s2am_ard_3-2-1_56HKH_2021-01-14_final
2021-01-24 09:36:12	ga_s2am_ard_3-2-1_56HKH_2021-01-24_final
2021-02-13 09:36:10	ga_s2am_ard_3-2-1_56HKH_2021-02-13_final
2021-02-23 09:36:11	ga_s2am_ard_3-2-1_56HKH_2021-02-23_final
2021-03-05 09:36:11	ga_s2am_ard_3-2-1_56HKH_2021-03-05_final
2021-03-15 09:36:11	ga_s2am_ard_3-2-1_56HKH_2021-03-15_final
2021-03-25 09:36:10	ga_s2am_ard_3-2-1_56HKH_2021-03-25_final
2021-04-04 09:36:08	ga_s2am_ard_3-2-1_56HKH_2021-04-04_final
2021-04-14 09:36:06	ga_s2am_ard_3-2-1_56HKH_2021-04-14_final
2023-05-07 09:44:16	ga_s2am_ard_3-2-1_55JGL_2023-05-07_final.stac-item
2023-11-10 09:37:39	ga_s2am_ard_3-2-1_55HGS_2023-11-10_nrt.stac-item
2023-11-17 09:27:41	ga_s2am_ard_3-2-1_55HGS_2023-11-16_nrt.stac-item
2023-11-20 09:37:36	ga_s2am_ard_3-2-1_56HKB_2023-11-20_nrt.stac-item
2023-11-20 09:37:36	ga_s2am_ard_3-2-1_55HGS_2023-11-20_nrt.stac-item
2023-11-27 09:27:37	ga_s2am_ard_3-2-1_55HGS_2023-11-26_nrt.stac-item
2023-12-07 09:27:37	ga_s2am_ard_3-2-1_55HGS_2023-12-06_nrt.stac-item
2023-12-10 09:37:33	ga_s2am_ard_3-2-1_56HKB_2023-12-10_nrt.stac-item
2023-12-10 09:37:34	ga_s2am_ard_3-2-1_55HGS_2023-12-10_nrt.stac-item
2023-12-17 09:27:39	ga_s2am_ard_3-2-1_55HGS_2023-12-16_nrt.stac-item
2023-12-20 09:37:35	ga_s2am_ard_3-2-1_56HKB_2023-12-20_nrt.stac-item
2023-12-20 09:37:35	ga_s2am_ard_3-2-1_55HGS_2023-12-20_nrt.stac-item
2023-12-27 09:27:40	ga_s2am_ard_3-2-1_55HGS_2023-12-26_nrt.stac-item
2023-12-30 09:37:36	ga_s2am_ard_3-2-1_56HKB_2023-12-30_nrt.stac-item
2023-12-30 09:37:36	ga_s2am_ard_3-2-1_55HGS_2023-12-30_nrt.stac-item
2024-01-06 09:27:39	ga_s2am_ard_3-2-1_55HGS_2024-01-05_nrt.stac-item
2024-01-09 09:37:34	ga_s2am_ard_3-2-1_56HKB_2024-01-09_nrt.stac-item
2024-01-09 09:37:35	ga_s2am_ard_3-2-1_55HGS_2024-01-09_nrt.stac-item
2024-01-16 09:27:36	ga_s2am_ard_3-2-1_55HGS_2024-01-15_nrt.stac-item
2024-01-19 09:37:30	ga_s2am_ard_3-2-1_56HKB_2024-01-19_nrt.stac-item
2024-01-19 09:37:30	ga_s2am_ard_3-2-1_55HGS_2024-01-19_nrt.stac-item
2024-01-26 09:27:37	ga_s2am_ard_3-2-1_55HGS_2024-01-25_nrt.stac-item
2024-01-29 09:37:34	ga_s2am_ard_3-2-1_56HKB_2024-01-29_nrt.stac-item
2024-01-29 09:37:34	ga_s2am_ard_3-2-1_55HGS_2024-01-29_nrt.stac-item
2024-02-05 09:27:39	ga_s2am_ard_3-2-1_55HGS_2024-02-04_nrt.stac-item
2024-02-08 09:37:34	ga_s2am_ard_3-2-1_56HKB_2024-02-08_nrt.stac-item
2024-02-08 09:37:35	ga_s2am_ard_3-2-1_55HGS_2024-02-08_nrt.stac-item
2024-02-15 09:27:41	ga_s2am_ard_3-2-1_55HGS_2024-02-14_nrt.stac-item
2024-02-18 09:37:37	ga_s2am_ard_3-2-1_56HKB_2024-02-18_nrt.stac-item
2024-02-18 09:37:37	ga_s2am_ard_3-2-1_55HGS_2024-02-18_nrt.stac-item
2024-02-25 09:27:42	ga_s2am_ard_3-2-1_55HGS_2024-02-24_nrt.stac-item
2024-02-28 09:37:38	ga_s2am_ard_3-2-1_56HKB_2024-02-28_nrt.stac-item
2024-02-28 09:37:39	ga_s2am_ard_3-2-1_55HGS_2024-02-28_nrt.stac-item
2024-03-06 09:27:44	ga_s2am_ard_3-2-1_55HGS_2024-03-05_nrt.stac-item
2024-03-09 09:37:39	ga_s2am_ard_3-2-1_56HKB_2024-03-09_nrt.stac-item
2024-03-09 09:37:40	ga_s2am_ard_3-2-1_55HGS_2024-03-09_nrt.stac-item
2024-03-16 09:27:43	ga_s2am_ard_3-2-1_55HGS_2024-03-15_nrt.stac-item
2024-03-19 09:37:39	ga_s2am_ard_3-2-1_56HKB_2024-03-19_nrt.stac-item
2024-03-19 09:37:40	ga_s2am_ard_3-2-1_55HGS_2024-03-19_nrt.stac-item
2024-03-26 09:27:44	ga_s2am_ard_3-2-1_55HGS_2024-03-25_nrt.stac-item
2024-03-29 09:37:39	ga_s2am_ard_3-2-1_56HKB_2024-03-29_nrt.stac-item
2024-03-29 09:37:39	ga_s2am_ard_3-2-1_55HGS_2024-03-29_nrt.stac-item
2024-04-05 09:27:40	ga_s2am_ard_3-2-1_55HGS_2024-04-04_nrt.stac-item
2024-04-08 09:37:38	ga_s2am_ard_3-2-1_56HKB_2024-04-08_nrt.stac-item
2024-04-08 09:37:38	ga_s2am_ard_3-2-1_55HGS_2024-04-08_nrt.stac-item
2024-04-15 09:27:46	ga_s2am_ard_3-2-1_55HGS_2024-04-14_nrt.stac-item
2024-04-18 09:37:39	ga_s2am_ard_3-2-1_56HKB_2024-04-18_nrt.stac-item
2024-04-18 09:37:39	ga_s2am_ard_3-2-1_55HGS_2024-04-18_nrt.stac-item
2024-04-18 09:37:46	ga_s2am_ard_3-2-1_56HKB_2024-04-18_nrt.stac-item
2024-04-18 09:37:46	ga_s2am_ard_3-2-1_55HGS_2024-04-18_nrt.stac-item
2024-05-25 09:27:47	ga_s2am_ard_3-2-1_56HKB_2024-05-24_nrt.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

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