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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
2020-04-01 11:53:13	ga_s2am_ard_3-2-1_50KQC_2020-04-01_final
2020-04-02 11:25:56	ga_s2am_ard_3-2-1_51JVG_2020-04-02_final
2020-04-09 11:15:40	ga_s2am_ard_3-2-1_51JXH_2020-04-09_final
2020-04-11 11:53:29	ga_s2am_ard_3-2-1_50KMC_2020-04-11_final
2020-04-25 11:36:19	ga_s2am_ard_3-2-1_51JTF_2020-04-25_final
2020-05-01 11:56:11	ga_s2am_ard_3-2-1_50JMM_2020-05-01_final
2020-05-01 11:56:14	ga_s2am_ard_3-2-1_50JLM_2020-05-01_final
2020-05-01 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-05-01_final
2020-05-01 11:56:21	ga_s2am_ard_3-2-1_50JNL_2020-05-01_final
2020-05-01 11:56:33	ga_s2am_ard_3-2-1_50HNK_2020-05-01_final
2020-05-01 11:56:39	ga_s2am_ard_3-2-1_50HMK_2020-05-01_final
2020-05-01 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2020-05-01_final
2020-05-02 11:26:03	ga_s2am_ard_3-2-1_51JVG_2020-05-02_final
2020-05-04 12:06:07	ga_s2am_ard_3-2-1_50JLM_2020-05-04_final
2020-05-04 12:06:13	ga_s2am_ard_3-2-1_50JKM_2020-05-04_final
2020-05-04 12:06:17	ga_s2am_ard_3-2-1_50JLL_2020-05-04_final
2020-05-05 11:36:09	ga_s2am_ard_3-2-1_50JQM_2020-05-05_final
2020-05-05 11:36:21	ga_s2am_ard_3-2-1_51JTF_2020-05-05_final
2020-05-05 11:36:35	ga_s2am_ard_3-2-1_51HTE_2020-05-05_final
2020-05-05 11:37:06	ga_s2am_ard_3-2-1_50HQH_2020-05-05_final
2020-05-05 11:37:10	ga_s2am_ard_3-2-1_50HPH_2020-05-05_final
2020-05-08 11:46:05	ga_s2am_ard_3-2-1_50JQM_2020-05-08_final
2020-05-08 11:46:09	ga_s2am_ard_3-2-1_50JPM_2020-05-08_final
2020-05-08 11:46:30	ga_s2am_ard_3-2-1_50JML_2020-05-08_final
2020-05-08 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2020-05-08_final
2020-05-08 11:47:06	ga_s2am_ard_3-2-1_50HPH_2020-05-08_final
2020-05-08 11:47:14	ga_s2am_ard_3-2-1_50HMH_2020-05-08_final
2020-05-08 11:47:18	ga_s2am_ard_3-2-1_50HLH_2020-05-08_final
2020-05-09 11:15:58	ga_s2am_ard_3-2-1_51JYG_2020-05-09_final
2020-05-11 11:56:12	ga_s2am_ard_3-2-1_50JMM_2020-05-11_final
2020-05-11 11:56:18	ga_s2am_ard_3-2-1_50JKM_2020-05-11_final
2020-05-11 11:56:27	ga_s2am_ard_3-2-1_50JML_2020-05-11_final
2020-05-11 11:56:30	ga_s2am_ard_3-2-1_50JLL_2020-05-11_final
2020-05-11 11:56:34	ga_s2am_ard_3-2-1_50HNK_2020-05-11_final
2020-05-11 11:56:45	ga_s2am_ard_3-2-1_50HLK_2020-05-11_final
2020-05-11 11:56:59	ga_s2am_ard_3-2-1_50HLJ_2020-05-11_final
2020-05-12 11:26:27	ga_s2am_ard_3-2-1_51HXE_2020-05-12_final
2020-05-12 11:26:37	ga_s2am_ard_3-2-1_51HUE_2020-05-12_final
2020-05-14 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-05-14_final
2020-05-14 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-05-14_final
2020-05-15 11:36:07	ga_s2am_ard_3-2-1_51JTG_2020-05-15_final
2020-05-15 11:36:10	ga_s2am_ard_3-2-1_50JQM_2020-05-15_final
2020-05-15 11:36:31	ga_s2am_ard_3-2-1_50JPL_2020-05-15_final
2020-05-15 11:36:33	ga_s2am_ard_3-2-1_51HUE_2020-05-15_final
2020-05-15 11:36:37	ga_s2am_ard_3-2-1_51HTE_2020-05-15_final
2020-05-15 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2020-05-15_final
2020-05-18 11:46:01	ga_s2am_ard_3-2-1_51JTG_2020-05-18_final
2020-05-18 11:46:05	ga_s2am_ard_3-2-1_50JPM_2020-05-18_final
2020-05-18 11:46:07	ga_s2am_ard_3-2-1_51JTG_2020-05-18_final
2020-05-18 11:46:10	ga_s2am_ard_3-2-1_50JQM_2020-05-18_final
2020-05-18 11:46:12	ga_s2am_ard_3-2-1_50JPM_2020-05-18_final
2020-05-18 11:46:12	ga_s2am_ard_3-2-1_51JTF_2020-05-18_final
2020-05-18 11:46:18	ga_s2am_ard_3-2-1_50JMM_2020-05-18_final
2020-05-18 11:46:31	ga_s2am_ard_3-2-1_50JML_2020-05-18_final
2020-05-18 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-18_final
2020-05-18 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2020-05-18_final
2020-05-18 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2020-05-18_final
2020-05-18 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-05-18_final
2020-05-18 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-05-18_final
2020-05-18 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-05-18_final
2020-05-18 11:47:19	ga_s2am_ard_3-2-1_50HLH_2020-05-18_final
2020-05-19 11:15:59	ga_s2am_ard_3-2-1_51JYG_2020-05-19_final
2020-05-19 11:16:31	ga_s2am_ard_3-2-1_51HXE_2020-05-19_final
2020-05-21 11:56:13	ga_s2am_ard_3-2-1_50JMM_2020-05-21_final
2020-05-21 11:56:19	ga_s2am_ard_3-2-1_50JKM_2020-05-21_final
2020-05-21 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-05-21_final
2020-05-21 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-05-21_final
2020-05-21 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-21_final
2020-05-21 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-05-21_final
2020-05-21 11:57:11	ga_s2am_ard_3-2-1_50HMH_2020-05-21_final
2020-05-22 11:26:28	ga_s2am_ard_3-2-1_51HXE_2020-05-22_final
2020-05-24 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-05-24_final
2020-05-24 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-05-24_final
2020-05-25 11:36:11	ga_s2am_ard_3-2-1_50JQM_2020-05-25_final
2020-05-25 11:36:23	ga_s2am_ard_3-2-1_51JTF_2020-05-25_final
2020-05-25 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-05-25_final
2020-05-25 11:36:38	ga_s2am_ard_3-2-1_51HTE_2020-05-25_final
2020-05-25 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-05-25_final
2020-05-28 11:46:01	ga_s2am_ard_3-2-1_51JTG_2020-05-28_final
2020-05-28 11:46:08	ga_s2am_ard_3-2-1_51JTG_2020-05-28_final
2020-05-28 11:46:10	ga_s2am_ard_3-2-1_50JQM_2020-05-28_final
2020-05-28 11:46:12	ga_s2am_ard_3-2-1_50JPM_2020-05-28_final
2020-05-28 11:46:19	ga_s2am_ard_3-2-1_50JMM_2020-05-28_final
2020-05-28 11:46:25	ga_s2am_ard_3-2-1_50JPL_2020-05-28_final
2020-05-28 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-28_final
2020-05-28 11:46:47	ga_s2am_ard_3-2-1_50HMK_2020-05-28_final
2020-05-28 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-05-28_final
2020-05-28 11:46:58	ga_s2am_ard_3-2-1_50HNJ_2020-05-28_final
2020-05-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2020-05-28_final
2020-05-29 11:16:00	ga_s2am_ard_3-2-1_51JYG_2020-05-29_final
2020-05-31 11:53:00	ga_s2am_ard_3-2-1_51KTU_2020-05-31_final
2020-05-31 11:56:14	ga_s2am_ard_3-2-1_50JMM_2020-05-31_final
2020-05-31 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-05-31_final
2020-05-31 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-05-31_final
2020-05-31 11:56:28	ga_s2am_ard_3-2-1_50JML_2020-05-31_final
2020-05-31 11:56:32	ga_s2am_ard_3-2-1_50JLL_2020-05-31_final
2020-05-31 11:56:36	ga_s2am_ard_3-2-1_50HNK_2020-05-31_final
2020-05-31 11:56:43	ga_s2am_ard_3-2-1_50HMK_2020-05-31_final
2020-05-31 11:56:46	ga_s2am_ard_3-2-1_50HLK_2020-05-31_final
2020-05-31 11:56:57	ga_s2am_ard_3-2-1_50HMJ_2020-05-31_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

All years