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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2019-02-06 10:13:01	ga_s2am_ard_3-2-1_54KWB_2019-02-06_final
2019-02-06 10:13:12	ga_s2am_ard_3-2-1_54KWA_2019-02-06_final
2019-02-06 10:13:27	ga_s2am_ard_3-2-1_54KWV_2019-02-06_final
2019-02-06 10:13:41	ga_s2am_ard_3-2-1_54KWU_2019-02-06_final
2019-02-06 10:13:56	ga_s2am_ard_3-2-1_54JWT_2019-02-06_final
2019-02-06 10:14:10	ga_s2am_ard_3-2-1_54JWS_2019-02-06_final
2019-02-06 10:14:25	ga_s2am_ard_3-2-1_54JWR_2019-02-06_final
2019-02-06 10:14:39	ga_s2am_ard_3-2-1_54JWQ_2019-02-06_final
2019-02-06 10:14:54	ga_s2am_ard_3-2-1_54JWP_2019-02-06_final
2019-02-06 10:15:09	ga_s2am_ard_3-2-1_54JWN_2019-02-06_final
2019-02-06 10:15:23	ga_s2am_ard_3-2-1_54JWM_2019-02-06_final
2019-02-06 10:15:37	ga_s2am_ard_3-2-1_54JWL_2019-02-06_final
2019-02-06 10:15:52	ga_s2am_ard_3-2-1_54HWK_2019-02-06_final
2019-02-16 10:13:00	ga_s2am_ard_3-2-1_54KWB_2019-02-16_final
2019-02-16 10:13:12	ga_s2am_ard_3-2-1_54KWA_2019-02-16_final
2019-02-16 10:13:26	ga_s2am_ard_3-2-1_54KWV_2019-02-16_final
2019-02-16 10:13:41	ga_s2am_ard_3-2-1_54KWU_2019-02-16_final
2019-02-16 10:13:56	ga_s2am_ard_3-2-1_54JWT_2019-02-16_final
2019-02-16 10:14:10	ga_s2am_ard_3-2-1_54JWS_2019-02-16_final
2019-02-16 10:14:24	ga_s2am_ard_3-2-1_54JWR_2019-02-16_final
2019-02-16 10:14:39	ga_s2am_ard_3-2-1_54JWQ_2019-02-16_final
2019-02-19 10:23:21	ga_s2am_ard_3-2-1_54KWV_2019-02-19_final
2019-05-23 10:29:43	ga_s2am_ard_3-2-1_54LXQ_2019-05-23_final
2019-05-23 10:29:46	ga_s2am_ard_3-2-1_54LWQ_2019-05-23_final
2019-05-23 10:29:57	ga_s2am_ard_3-2-1_54LXP_2019-05-23_final
2019-05-23 10:30:01	ga_s2am_ard_3-2-1_54LWP_2019-05-23_final
2019-05-23 10:30:11	ga_s2am_ard_3-2-1_54LXN_2019-05-23_final
2019-05-23 10:30:15	ga_s2am_ard_3-2-1_54LWN_2019-05-23_final
2019-05-23 10:30:29	ga_s2am_ard_3-2-1_54LWM_2019-05-23_final
2019-05-24 10:07:29	ga_s2am_ard_3-2-1_54HWD_2019-05-24_final
2019-05-24 10:07:44	ga_s2am_ard_3-2-1_54HWC_2019-05-24_final
2019-09-01 10:07:27	ga_s2am_ard_3-2-1_54HWD_2019-09-01_final
2019-09-07 10:20:17	ga_s2am_ard_3-2-1_54LWN_2019-09-07_final
2019-09-07 10:20:30	ga_s2am_ard_3-2-1_54LWM_2019-09-07_final
2019-09-07 10:20:45	ga_s2am_ard_3-2-1_54LWL_2019-09-07_final
2019-09-07 10:20:59	ga_s2am_ard_3-2-1_54LWK_2019-09-07_final
2019-09-07 10:21:14	ga_s2am_ard_3-2-1_54LWJ_2019-09-07_final
2019-09-07 10:21:28	ga_s2am_ard_3-2-1_54LWH_2019-09-07_final
2019-09-07 10:21:43	ga_s2am_ard_3-2-1_54KWG_2019-09-07_final
2019-09-07 10:21:58	ga_s2am_ard_3-2-1_54KWF_2019-09-07_final
2019-09-07 10:22:12	ga_s2am_ard_3-2-1_54KWE_2019-09-07_final
2019-09-07 10:22:27	ga_s2am_ard_3-2-1_54KWD_2019-09-07_final
2019-09-07 10:22:41	ga_s2am_ard_3-2-1_54KWC_2019-09-07_final
2019-09-07 10:22:56	ga_s2am_ard_3-2-1_54KWB_2019-09-07_final
2019-09-11 10:05:43	ga_s2am_ard_3-2-1_54JWL_2019-09-11_final
2019-09-11 10:05:57	ga_s2am_ard_3-2-1_54HWK_2019-09-11_final
2019-09-11 10:06:12	ga_s2am_ard_3-2-1_54HWJ_2019-09-11_final
2019-09-11 10:06:26	ga_s2am_ard_3-2-1_54HWH_2019-09-11_final
2019-09-11 10:06:41	ga_s2am_ard_3-2-1_54HWG_2019-09-11_final
2019-09-11 10:06:55	ga_s2am_ard_3-2-1_54HWF_2019-09-11_final
2019-09-11 10:07:10	ga_s2am_ard_3-2-1_54HWE_2019-09-11_final
2019-09-11 10:07:24	ga_s2am_ard_3-2-1_54HWD_2019-09-11_final
2019-09-11 10:07:39	ga_s2am_ard_3-2-1_54HWC_2019-09-11_final
2019-09-14 10:14:27	ga_s2am_ard_3-2-1_54JWR_2019-09-14_final
2019-09-14 10:14:41	ga_s2am_ard_3-2-1_54JWQ_2019-09-14_final
2019-09-14 10:14:56	ga_s2am_ard_3-2-1_54JWP_2019-09-14_final
2019-09-14 10:15:10	ga_s2am_ard_3-2-1_54JWN_2019-09-14_final
2019-09-14 10:15:25	ga_s2am_ard_3-2-1_54JWM_2019-09-14_final
2019-09-14 10:15:39	ga_s2am_ard_3-2-1_54JWL_2019-09-14_final
2019-09-14 10:15:54	ga_s2am_ard_3-2-1_54HWK_2019-09-14_final
2019-09-14 10:16:08	ga_s2am_ard_3-2-1_54HWJ_2019-09-14_final
2022-04-01 10:13:06	ga_s2am_ard_3-2-1_54KWB_2022-04-01_final
2022-04-01 10:13:18	ga_s2am_ard_3-2-1_54KWA_2022-04-01_final
2022-04-01 10:13:32	ga_s2am_ard_3-2-1_54KWV_2022-04-01_final
2022-04-01 10:13:47	ga_s2am_ard_3-2-1_54KWU_2022-04-01_final
2022-04-01 10:14:01	ga_s2am_ard_3-2-1_54JWT_2022-04-01_final
2022-04-01 10:14:16	ga_s2am_ard_3-2-1_54JWS_2022-04-01_final
2022-04-01 10:14:30	ga_s2am_ard_3-2-1_54JWR_2022-04-01_final
2022-04-01 10:14:45	ga_s2am_ard_3-2-1_54JWQ_2022-04-01_final
2022-04-01 10:14:59	ga_s2am_ard_3-2-1_54JWP_2022-04-01_final
2022-04-01 10:15:14	ga_s2am_ard_3-2-1_54JWN_2022-04-01_final
2022-04-01 10:15:28	ga_s2am_ard_3-2-1_54JWM_2022-04-01_final
2022-04-04 10:20:20	ga_s2am_ard_3-2-1_54LWN_2022-04-04_final
2022-04-04 10:20:33	ga_s2am_ard_3-2-1_54LWM_2022-04-04_final
2022-04-04 10:20:47	ga_s2am_ard_3-2-1_54LWL_2022-04-04_final
2022-04-04 10:21:02	ga_s2am_ard_3-2-1_54LWK_2022-04-04_final
2022-04-04 10:21:16	ga_s2am_ard_3-2-1_54LWJ_2022-04-04_final
2022-04-04 10:21:31	ga_s2am_ard_3-2-1_54LWH_2022-04-04_final
2022-04-04 10:21:45	ga_s2am_ard_3-2-1_54KWG_2022-04-04_final
2022-04-04 10:22:00	ga_s2am_ard_3-2-1_54KWF_2022-04-04_final
2022-04-04 10:22:14	ga_s2am_ard_3-2-1_54KWE_2022-04-04_final
2022-04-04 10:22:29	ga_s2am_ard_3-2-1_54KWD_2022-04-04_final
2022-04-04 10:22:43	ga_s2am_ard_3-2-1_54KWC_2022-04-04_final
2022-04-04 10:22:58	ga_s2am_ard_3-2-1_54KWB_2022-04-04_final
2022-04-04 10:23:12	ga_s2am_ard_3-2-1_54KWA_2022-04-04_final
2022-04-04 10:23:27	ga_s2am_ard_3-2-1_54KWV_2022-04-04_final
2022-04-05 09:57:47	ga_s2am_ard_3-2-1_54HWC_2022-04-05_final
2022-04-07 10:29:40	ga_s2am_ard_3-2-1_54LXQ_2022-04-07_final
2022-04-07 10:29:44	ga_s2am_ard_3-2-1_54LWQ_2022-04-07_final
2022-04-07 10:29:55	ga_s2am_ard_3-2-1_54LXP_2022-04-07_final
2022-04-07 10:29:58	ga_s2am_ard_3-2-1_54LWP_2022-04-07_final
2022-04-07 10:30:08	ga_s2am_ard_3-2-1_54LXN_2022-04-07_final
2022-04-07 10:30:13	ga_s2am_ard_3-2-1_54LWN_2022-04-07_final
2022-04-07 10:30:27	ga_s2am_ard_3-2-1_54LWM_2022-04-07_final
2022-04-11 10:13:06	ga_s2am_ard_3-2-1_54KWB_2022-04-11_final
2022-04-11 10:13:17	ga_s2am_ard_3-2-1_54KWA_2022-04-11_final
2022-04-11 10:13:31	ga_s2am_ard_3-2-1_54KWV_2022-04-11_final
2022-04-11 10:13:46	ga_s2am_ard_3-2-1_54KWU_2022-04-11_final
2022-04-11 10:14:01	ga_s2am_ard_3-2-1_54JWT_2022-04-11_final
2022-04-11 10:14:15	ga_s2am_ard_3-2-1_54JWS_2022-04-11_final

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

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