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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
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_51HUD_2017-08-19_final
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JYN_2017-10-05_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGL_2017-10-07_final
2017-10-10 12:13:43	ga_s2am_ard_3-2-1_49JGK_2017-10-10_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JHM_2017-10-17_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_50JKP_2017-10-17_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_49JGL_2017-10-27_final
2017-10-27 12:04:41	ga_s2am_ard_3-2-1_50JLQ_2017-10-27_final
2017-10-31 11:42:00	ga_s2am_ard_3-2-1_50HNH_2017-10-31_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_49JGL_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JMT_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KLU_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KLV_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KMC_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KMU_2017-11-06_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50KNB_2017-11-06_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JTH_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JUN_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JVN_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JWN_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JXN_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KUR_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KUS_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVQ_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVR_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWP_2017-11-07_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KWQ_2017-11-07_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGK_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JFM_2017-11-09_final
2017-11-09 12:13:20	ga_s2am_ard_3-2-1_49JGM_2017-11-09_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50JMT_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50JQT_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KLU_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KMC_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KMU_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KNB_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KNU_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KNV_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KPA_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KPU_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KQB_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KQC_2017-11-13_final
2017-11-13 11:49:19	ga_s2am_ard_3-2-1_50KQV_2017-11-13_final
2017-11-13 11:54:29	ga_s2am_ard_3-2-1_50JKP_2017-11-13_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51JWN_2017-11-14_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51KWP_2017-11-14_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51KWQ_2017-11-14_final
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51KXP_2017-11-14_final
2017-11-16 12:03:45	ga_s2am_ard_3-2-1_50KLV_2017-11-16_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JHN_2017-11-16_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGM_2017-11-16_final
2017-11-16 12:04:39	ga_s2am_ard_3-2-1_49JGN_2017-11-16_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGK_2017-11-19_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JFM_2017-11-19_final
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49JGM_2017-11-19_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50JQT_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50KPU_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50KQB_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50KQC_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50KQV_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50KRA_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_50KRU_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51JTN_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51JUN_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KTP_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KTQ_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KUR_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KUS_2017-11-20_final
2017-11-20 11:41:28	ga_s2am_ard_3-2-1_51KVR_2017-11-20_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JHM_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50JMT_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLU_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLV_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KMC_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KMU_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KNB_2017-11-26_final
2017-11-26 12:05:06	ga_s2am_ard_3-2-1_49JGJ_2017-11-26_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JUN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JVN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JWN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51JXN_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KUR_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KVR_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWP_2017-11-27_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51KWQ_2017-11-27_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGL_2017-11-29_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JHN_2017-11-29_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JFM_2017-11-29_final
2017-11-29 12:13:16	ga_s2am_ard_3-2-1_49JGM_2017-11-29_final
2017-12-03 11:49:15	ga_s2am_ard_3-2-1_50KNB_2017-12-03_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50KPA_2017-12-03_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JPR_2017-12-10_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HYD_2017-12-11_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51HYE_2017-12-11_final
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JYK_2017-12-11_final
2017-12-16 12:05:30	ga_s2am_ard_3-2-1_50JLL_2017-12-16_final
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-12-19_final
2017-12-29 12:14:35	ga_s2am_ard_3-2-1_49JFM_2017-12-29_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51HYD_2017-12-31_final
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_51HYE_2017-12-31_final

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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