Search ga_s2am_ard_3 across May 2017

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:

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First 100 results (query limit)

Time (local)	Label
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_55HBC_2017-05-01_final
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_54HYH_2017-05-01_final
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_55HCA_2017-05-01_final
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_55JEJ_2017-05-01_final
2017-05-01 09:52:37	ga_s2am_ard_3-2-1_55JDJ_2017-05-01_final
2017-05-01 11:36:06	ga_s2am_ard_3-2-1_50JPL_2017-05-01_final
2017-05-02 09:22:47	ga_s2am_ard_3-2-1_56JNP_2017-05-01_final.stac-item
2017-05-02 09:22:47	ga_s2am_ard_3-2-1_56JMP_2017-05-01_final
2017-05-02 09:22:47	ga_s2am_ard_3-2-1_56JML_2017-05-01_final
2017-05-02 09:22:47	ga_s2am_ard_3-2-1_56JNL_2017-05-01_final
2017-05-02 09:25:58	ga_s2am_ard_3-2-1_55GEP_2017-05-01_final
2017-05-03 10:32:13	ga_s2am_ard_3-2-1_53JPF_2017-05-03_final
2017-05-03 10:32:13	ga_s2am_ard_3-2-1_53JMJ_2017-05-03_final
2017-05-03 10:32:13	ga_s2am_ard_3-2-1_53JNJ_2017-05-03_final
2017-05-04 10:05:54	ga_s2am_ard_3-2-1_55HBC_2017-05-04_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JNL_2017-05-04_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JNP_2017-05-04_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JML_2017-05-04_final
2017-05-04 11:45:11	ga_s2am_ard_3-2-1_50JPL_2017-05-04_final
2017-05-05 09:32:20	ga_s2am_ard_3-2-1_56JNP_2017-05-05_final.stac-item
2017-05-05 09:32:20	ga_s2am_ard_3-2-1_56JMP_2017-05-05_final
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_52JDP_2017-05-05_final
2017-05-05 11:12:04	ga_s2am_ard_3-2-1_51JWF_2017-05-05_final
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_53JMJ_2017-05-06_final
2017-05-06 10:43:09	ga_s2am_ard_3-2-1_53JNJ_2017-05-06_final
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54JWP_2017-05-07_final
2017-05-07 10:10:58	ga_s2am_ard_3-2-1_54JVP_2017-05-07_final
2017-05-07 11:56:10	ga_s2am_ard_3-2-1_50JNL_2017-05-07_final
2017-05-07 11:56:10	ga_s2am_ard_3-2-1_50JML_2017-05-07_final
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55JFF_2017-05-08_final
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55HCA_2017-05-08_final
2017-05-08 09:42:15	ga_s2am_ard_3-2-1_55JEJ_2017-05-08_final
2017-05-08 09:47:14	ga_s2am_ard_3-2-1_55GEP_2017-05-08_final
2017-05-08 11:26:12	ga_s2am_ard_3-2-1_51JWF_2017-05-08_final
2017-05-11 09:55:58	ga_s2am_ard_3-2-1_55HBC_2017-05-11_final
2017-05-11 09:55:58	ga_s2am_ard_3-2-1_54HYH_2017-05-11_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51JVJ_2017-05-11_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51JWJ_2017-05-11_final
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50JPL_2017-05-11_final
2017-05-12 09:24:03	ga_s2am_ard_3-2-1_56JNP_2017-05-11_final.stac-item
2017-05-12 09:24:03	ga_s2am_ard_3-2-1_56JMP_2017-05-11_final
2017-05-12 09:24:03	ga_s2am_ard_3-2-1_56JML_2017-05-11_final
2017-05-12 09:24:03	ga_s2am_ard_3-2-1_56JNL_2017-05-11_final
2017-05-12 11:03:02	ga_s2am_ard_3-2-1_52JEP_2017-05-12_final
2017-05-12 11:03:02	ga_s2am_ard_3-2-1_52JDP_2017-05-12_final
2017-05-14 10:01:19	ga_s2am_ard_3-2-1_55HBC_2017-05-14_final
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_56HKH_2017-05-15_final
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_56JNP_2017-05-15_final.stac-item
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_56JMP_2017-05-15_final
2017-05-15 09:32:21	ga_s2am_ard_3-2-1_56JML_2017-05-15_final
2017-05-15 09:36:59	ga_s2am_ard_3-2-1_55GEP_2017-05-15_final
2017-05-15 09:36:59	ga_s2am_ard_3-2-1_55GFP_2017-05-15_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JNP_2017-05-17_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JNL_2017-05-17_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JML_2017-05-17_final
2017-05-17 11:49:48	ga_s2am_ard_3-2-1_50JMP_2017-05-17_final
2017-05-18 09:46:28	ga_s2am_ard_3-2-1_55HCA_2017-05-18_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JVJ_2017-05-18_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JWJ_2017-05-18_final
2017-05-18 11:21:00	ga_s2am_ard_3-2-1_51JWF_2017-05-18_final
2017-05-20 10:23:10	ga_s2am_ard_3-2-1_53JPF_2017-05-20_final
2017-05-20 10:23:10	ga_s2am_ard_3-2-1_54JVP_2017-05-20_final
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_55HBC_2017-05-21_final
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_54HYH_2017-05-21_final
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_55HCA_2017-05-21_final
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_55JEJ_2017-05-21_final
2017-05-21 09:52:38	ga_s2am_ard_3-2-1_55JDJ_2017-05-21_final
2017-05-21 11:36:06	ga_s2am_ard_3-2-1_50JPL_2017-05-21_final
2017-05-22 09:22:47	ga_s2am_ard_3-2-1_56JNP_2017-05-21_final.stac-item
2017-05-22 09:22:47	ga_s2am_ard_3-2-1_56JMP_2017-05-21_final
2017-05-22 09:22:47	ga_s2am_ard_3-2-1_56JML_2017-05-21_final
2017-05-22 09:22:47	ga_s2am_ard_3-2-1_56JNL_2017-05-21_final
2017-05-22 09:25:33	ga_s2am_ard_3-2-1_55GEP_2017-05-21_final
2017-05-23 10:32:14	ga_s2am_ard_3-2-1_53JPF_2017-05-23_final
2017-05-23 10:32:14	ga_s2am_ard_3-2-1_53JMJ_2017-05-23_final
2017-05-23 10:32:14	ga_s2am_ard_3-2-1_53JNJ_2017-05-23_final
2017-05-24 10:05:55	ga_s2am_ard_3-2-1_55HBC_2017-05-24_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50JNL_2017-05-24_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50JNP_2017-05-24_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50JML_2017-05-24_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50JPL_2017-05-24_final
2017-05-25 09:32:20	ga_s2am_ard_3-2-1_56JNP_2017-05-25_final.stac-item
2017-05-25 09:32:20	ga_s2am_ard_3-2-1_56JMP_2017-05-25_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_52JDP_2017-05-25_final
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51JWF_2017-05-25_final
2017-05-26 10:43:09	ga_s2am_ard_3-2-1_53JMJ_2017-05-26_final
2017-05-26 10:43:09	ga_s2am_ard_3-2-1_53JNJ_2017-05-26_final
2017-05-27 10:11:09	ga_s2am_ard_3-2-1_54JWP_2017-05-27_final
2017-05-27 10:11:09	ga_s2am_ard_3-2-1_54JVP_2017-05-27_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JNL_2017-05-27_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JML_2017-05-27_final
2017-05-28 09:42:15	ga_s2am_ard_3-2-1_55JFF_2017-05-28_final
2017-05-28 09:42:15	ga_s2am_ard_3-2-1_55HCA_2017-05-28_final
2017-05-28 09:42:15	ga_s2am_ard_3-2-1_55JEJ_2017-05-28_final
2017-05-28 09:47:22	ga_s2am_ard_3-2-1_55GEP_2017-05-28_final
2017-05-28 11:26:12	ga_s2am_ard_3-2-1_51JWF_2017-05-28_final
2017-05-31 09:55:57	ga_s2am_ard_3-2-1_55HBC_2017-05-31_final
2017-05-31 09:55:57	ga_s2am_ard_3-2-1_54HYH_2017-05-31_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51JVJ_2017-05-31_final
2017-05-31 11:35:01	ga_s2am_ard_3-2-1_51JWJ_2017-05-31_final

Return to ga_s2am_ard_3 across May 2017 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

2017

May

All days