Search ga_s2am_ard_3 across June 2016

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
2016-06-02 09:42:18	ga_s2am_ard_3-2-1_55JFL_2016-06-02_final.stac-item
2016-06-02 09:42:18	ga_s2am_ard_3-2-1_55JEK_2016-06-02_final.stac-item
2016-06-02 09:42:18	ga_s2am_ard_3-2-1_55JDG_2016-06-02_final.stac-item
2016-06-02 09:45:58	ga_s2am_ard_3-2-1_55HDS_2016-06-02_final.stac-item
2016-06-02 09:45:58	ga_s2am_ard_3-2-1_55HES_2016-06-02_final.stac-item
2016-06-02 09:45:58	ga_s2am_ard_3-2-1_55GEP_2016-06-02_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JWL_2016-06-05_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVJ_2016-06-05_final.stac-item
2016-06-06 09:22:49	ga_s2am_ard_3-2-1_56JNQ_2016-06-05_final.stac-item
2016-06-06 09:22:49	ga_s2am_ard_3-2-1_56JNP_2016-06-05_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JER_2016-06-06_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JFR_2016-06-06_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JDP_2016-06-06_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JEL_2016-06-06_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JEP_2016-06-06_final.stac-item
2016-06-06 11:05:23	ga_s2am_ard_3-2-1_52JDP_2016-06-06_final.stac-item
2016-06-08 10:01:45	ga_s2am_ard_3-2-1_54JXR_2016-06-08_final.stac-item
2016-06-08 10:01:45	ga_s2am_ard_3-2-1_55JBG_2016-06-08_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56JNR_2016-06-09_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56JKN_2016-06-09_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56JNQ_2016-06-09_final.stac-item
2016-06-09 09:32:22	ga_s2am_ard_3-2-1_56JNP_2016-06-09_final.stac-item
2016-06-09 09:35:19	ga_s2am_ard_3-2-1_55HFS_2016-06-09_final.stac-item
2016-06-09 09:35:19	ga_s2am_ard_3-2-1_55HDS_2016-06-09_final.stac-item
2016-06-09 09:35:19	ga_s2am_ard_3-2-1_55HES_2016-06-09_final.stac-item
2016-06-09 09:35:19	ga_s2am_ard_3-2-1_55GEP_2016-06-09_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JML_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNL_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JKM_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNP_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JMP_2016-06-11_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWL_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JXL_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWJ_2016-06-12_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JVJ_2016-06-12_final.stac-item
2016-06-13 10:48:22	ga_s2am_ard_3-2-1_52JFR_2016-06-13_final.stac-item
2016-06-13 10:55:17	ga_s2am_ard_3-2-1_52JEP_2016-06-13_final.stac-item
2016-06-14 10:20:02	ga_s2am_ard_3-2-1_54JVQ_2016-06-14_final.stac-item
2016-06-14 10:20:02	ga_s2am_ard_3-2-1_54JWQ_2016-06-14_final.stac-item
2016-06-14 10:20:02	ga_s2am_ard_3-2-1_54JVP_2016-06-14_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55JFL_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55JEK_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55HBV_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55JBG_2016-06-15_final.stac-item
2016-06-15 09:52:45	ga_s2am_ard_3-2-1_55JDJ_2016-06-15_final.stac-item
2016-06-16 09:22:47	ga_s2am_ard_3-2-1_55HFS_2016-06-15_final.stac-item
2016-06-16 09:22:47	ga_s2am_ard_3-2-1_56JNQ_2016-06-15_final.stac-item
2016-06-16 09:22:47	ga_s2am_ard_3-2-1_56JNP_2016-06-15_final.stac-item
2016-06-16 09:27:46	ga_s2am_ard_3-2-1_55HFS_2016-06-15_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53JPL_2016-06-17_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53JMJ_2016-06-17_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53JNJ_2016-06-17_final.stac-item
2016-06-17 10:34:26	ga_s2am_ard_3-2-1_53JMG_2016-06-17_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JPR_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JML_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JNL_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JNP_2016-06-18_final.stac-item
2016-06-19 09:34:01	ga_s2am_ard_3-2-1_56JNR_2016-06-19_final.stac-item
2016-06-19 09:34:01	ga_s2am_ard_3-2-1_56JNQ_2016-06-19_final.stac-item
2016-06-19 09:34:01	ga_s2am_ard_3-2-1_56JNP_2016-06-19_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_52JBN_2016-06-19_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_51JYG_2016-06-19_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_52JBM_2016-06-19_final.stac-item
2016-06-20 10:38:41	ga_s2am_ard_3-2-1_53JMJ_2016-06-20_final.stac-item
2016-06-20 10:38:41	ga_s2am_ard_3-2-1_53JNJ_2016-06-20_final.stac-item
2016-06-20 10:45:18	ga_s2am_ard_3-2-1_53JMG_2016-06-20_final.stac-item
2016-06-20 10:45:18	ga_s2am_ard_3-2-1_53JNG_2016-06-20_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54JXR_2016-06-21_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54HVE_2016-06-21_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54HWE_2016-06-21_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54JVP_2016-06-21_final.stac-item
2016-06-21 10:11:11	ga_s2am_ard_3-2-1_54JWP_2016-06-21_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50JML_2016-06-21_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50JNL_2016-06-21_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50JKM_2016-06-21_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55JFL_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55HDS_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55HES_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55JEK_2016-06-22_final.stac-item
2016-06-22 09:42:14	ga_s2am_ard_3-2-1_55GEP_2016-06-22_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JLM_2016-06-24_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JWL_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JVJ_2016-06-25_final.stac-item
2016-06-26 09:22:46	ga_s2am_ard_3-2-1_56JNQ_2016-06-25_final.stac-item
2016-06-26 09:22:46	ga_s2am_ard_3-2-1_56JNP_2016-06-25_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JER_2016-06-26_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JDR_2016-06-26_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JFR_2016-06-26_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JEL_2016-06-26_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JEP_2016-06-26_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52JDP_2016-06-26_final.stac-item
2016-06-28 10:01:43	ga_s2am_ard_3-2-1_55HBV_2016-06-28_final.stac-item
2016-06-28 10:01:43	ga_s2am_ard_3-2-1_54HVE_2016-06-28_final.stac-item
2016-06-28 10:01:43	ga_s2am_ard_3-2-1_55JBG_2016-06-28_final.stac-item
2016-06-29 09:32:19	ga_s2am_ard_3-2-1_56JKN_2016-06-29_final.stac-item
2016-06-29 09:32:19	ga_s2am_ard_3-2-1_56JNQ_2016-06-29_final.stac-item
2016-06-29 09:32:19	ga_s2am_ard_3-2-1_56JNP_2016-06-29_final.stac-item
2016-06-29 09:36:03	ga_s2am_ard_3-2-1_55HFS_2016-06-29_final.stac-item
2016-06-29 09:36:03	ga_s2am_ard_3-2-1_55HDS_2016-06-29_final.stac-item
2016-06-29 09:36:03	ga_s2am_ard_3-2-1_55HES_2016-06-29_final.stac-item

Return to ga_s2am_ard_3 across June 2016 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

2016

June

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