Search ga_ls7e_ard_3 across June 2013

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:

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):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

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:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

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 Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2013-06-01 09:40:09	ga_ls7e_ard_3-0-0_095067_2013-06-01_final
2013-06-01 09:42:09	ga_ls7e_ard_3-0-0_095072_2013-06-01_final
2013-06-01 09:42:33	ga_ls7e_ard_3-1-0_095073_2013-06-01_final
2013-06-01 09:42:57	ga_ls7e_ard_3-0-0_095074_2013-06-01_final
2013-06-01 09:43:20	ga_ls7e_ard_3-0-0_095075_2013-06-01_final
2013-06-01 09:43:44	ga_ls7e_ard_3-0-0_095076_2013-06-01_final
2013-06-01 09:44:08	ga_ls7e_ard_3-0-0_095077_2013-06-01_final
2013-06-01 09:44:32	ga_ls7e_ard_3-0-0_095078_2013-06-01_final
2013-06-01 09:44:56	ga_ls7e_ard_3-1-0_095079_2013-06-01_final
2013-06-01 09:45:20	ga_ls7e_ard_3-0-0_095080_2013-06-01_final
2013-06-01 11:19:02	ga_ls7e_ard_3-0-0_111067_2013-06-01_final
2013-06-01 11:19:26	ga_ls7e_ard_3-0-0_111068_2013-06-01_final
2013-06-01 11:20:38	ga_ls7e_ard_3-0-0_111071_2013-06-01_final
2013-06-01 11:21:02	ga_ls7e_ard_3-0-0_111072_2013-06-01_final
2013-06-01 11:21:26	ga_ls7e_ard_3-0-0_111073_2013-06-01_final
2013-06-01 11:23:25	ga_ls7e_ard_3-0-0_111078_2013-06-01_final
2013-06-01 11:23:49	ga_ls7e_ard_3-0-0_111079_2013-06-01_final
2013-06-01 11:24:13	ga_ls7e_ard_3-0-0_111080_2013-06-01_final
2013-06-01 11:24:37	ga_ls7e_ard_3-0-0_111081_2013-06-01_final
2013-06-01 11:25:01	ga_ls7e_ard_3-1-0_111082_2013-06-01_final
2013-06-01 11:25:25	ga_ls7e_ard_3-0-0_111083_2013-06-01_final
2013-06-02 10:23:48	ga_ls7e_ard_3-0-0_102068_2013-06-02_final
2013-06-02 10:24:12	ga_ls7e_ard_3-0-0_102069_2013-06-02_final
2013-06-02 10:24:36	ga_ls7e_ard_3-0-0_102070_2013-06-02_final
2013-06-02 10:25:00	ga_ls7e_ard_3-0-0_102071_2013-06-02_final
2013-06-02 10:25:24	ga_ls7e_ard_3-0-0_102072_2013-06-02_final
2013-06-02 10:25:47	ga_ls7e_ard_3-0-0_102073_2013-06-02_final
2013-06-02 10:26:11	ga_ls7e_ard_3-0-0_102074_2013-06-02_final
2013-06-02 10:26:35	ga_ls7e_ard_3-0-0_102075_2013-06-02_final
2013-06-02 10:26:59	ga_ls7e_ard_3-0-0_102076_2013-06-02_final
2013-06-02 10:29:23	ga_ls7e_ard_3-0-0_102082_2013-06-02_final
2013-06-03 09:27:46	ga_ls7e_ard_3-0-0_093067_2013-06-02_final
2013-06-03 09:30:33	ga_ls7e_ard_3-0-0_093074_2013-06-03_final
2013-06-03 09:30:57	ga_ls7e_ard_3-0-0_093075_2013-06-03_final
2013-06-03 09:31:21	ga_ls7e_ard_3-0-0_093076_2013-06-03_final
2013-06-03 09:31:45	ga_ls7e_ard_3-0-0_093077_2013-06-03_final
2013-06-03 09:32:09	ga_ls7e_ard_3-0-0_093078_2013-06-03_final
2013-06-03 09:32:33	ga_ls7e_ard_3-0-0_093079_2013-06-03_final
2013-06-03 09:32:57	ga_ls7e_ard_3-0-0_093080_2013-06-03_final
2013-06-03 09:33:21	ga_ls7e_ard_3-0-0_093081_2013-06-03_final
2013-06-03 09:33:45	ga_ls7e_ard_3-0-0_093082_2013-06-03_final
2013-06-03 09:34:09	ga_ls7e_ard_3-1-0_093083_2013-06-03_final
2013-06-03 09:34:33	ga_ls7e_ard_3-0-0_093084_2013-06-03_final
2013-06-03 09:34:57	ga_ls7e_ard_3-0-0_093085_2013-06-03_final
2013-06-03 09:36:08	ga_ls7e_ard_3-0-0_093088_2013-06-03_final
2013-06-03 11:07:50	ga_ls7e_ard_3-0-0_109070_2013-06-03_final
2013-06-03 11:08:14	ga_ls7e_ard_3-0-0_109071_2013-06-03_final
2013-06-03 11:08:38	ga_ls7e_ard_3-0-0_109072_2013-06-03_final
2013-06-03 11:09:02	ga_ls7e_ard_3-0-0_109073_2013-06-03_final
2013-06-03 11:13:26	ga_ls7e_ard_3-0-0_109084_2013-06-03_final
2013-06-23 10:42:13	ga_ls7e_ard_3-0-0_105068_2013-06-23_final
2013-06-23 10:42:37	ga_ls7e_ard_3-0-0_105069_2013-06-23_final
2013-06-23 10:43:01	ga_ls7e_ard_3-0-0_105070_2013-06-23_final
2013-06-23 10:43:25	ga_ls7e_ard_3-0-0_105071_2013-06-23_final
2013-06-23 10:43:49	ga_ls7e_ard_3-0-0_105072_2013-06-23_final
2013-06-23 10:44:13	ga_ls7e_ard_3-0-0_105073_2013-06-23_final
2013-06-23 10:44:37	ga_ls7e_ard_3-0-0_105074_2013-06-23_final
2013-06-23 10:45:01	ga_ls7e_ard_3-0-0_105075_2013-06-23_final
2013-06-23 10:45:25	ga_ls7e_ard_3-0-0_105076_2013-06-23_final
2013-06-23 10:45:49	ga_ls7e_ard_3-0-0_105077_2013-06-23_final
2013-06-23 10:46:13	ga_ls7e_ard_3-0-0_105078_2013-06-23_final
2013-06-23 10:46:37	ga_ls7e_ard_3-0-0_105079_2013-06-23_final
2013-06-23 10:47:01	ga_ls7e_ard_3-1-0_105080_2013-06-23_final
2013-06-23 10:47:24	ga_ls7e_ard_3-0-0_105081_2013-06-23_final
2013-06-23 10:47:48	ga_ls7e_ard_3-0-0_105082_2013-06-23_final
2013-06-23 10:48:12	ga_ls7e_ard_3-1-0_105083_2013-06-23_final
2013-06-24 09:46:12	ga_ls7e_ard_3-0-0_096067_2013-06-24_final
2013-06-24 09:47:23	ga_ls7e_ard_3-0-0_096070_2013-06-24_final
2013-06-24 09:47:47	ga_ls7e_ard_3-0-0_096071_2013-06-24_final
2013-06-24 09:48:11	ga_ls7e_ard_3-0-0_096072_2013-06-24_final
2013-06-24 09:48:35	ga_ls7e_ard_3-0-0_096073_2013-06-24_final
2013-06-24 09:48:59	ga_ls7e_ard_3-0-0_096074_2013-06-24_final
2013-06-24 09:49:23	ga_ls7e_ard_3-0-0_096075_2013-06-24_final
2013-06-24 09:49:47	ga_ls7e_ard_3-0-0_096076_2013-06-24_final
2013-06-24 09:50:11	ga_ls7e_ard_3-0-0_096077_2013-06-24_final
2013-06-24 09:50:35	ga_ls7e_ard_3-0-0_096078_2013-06-24_final
2013-06-24 09:50:59	ga_ls7e_ard_3-0-0_096079_2013-06-24_final
2013-06-24 09:51:23	ga_ls7e_ard_3-0-0_096080_2013-06-24_final
2013-06-24 09:51:47	ga_ls7e_ard_3-0-0_096081_2013-06-24_final
2013-06-24 09:52:11	ga_ls7e_ard_3-0-0_096082_2013-06-24_final
2013-06-24 09:52:35	ga_ls7e_ard_3-0-0_096083_2013-06-24_final
2013-06-24 09:52:59	ga_ls7e_ard_3-0-0_096084_2013-06-24_final
2013-06-24 09:53:22	ga_ls7e_ard_3-0-0_096085_2013-06-24_final
2013-06-24 09:53:46	ga_ls7e_ard_3-1-0_096086_2013-06-24_final
2013-06-24 11:25:05	ga_ls7e_ard_3-0-0_112067_2013-06-24_final
2013-06-25 10:29:51	ga_ls7e_ard_3-0-0_103068_2013-06-25_final
2013-06-25 10:30:15	ga_ls7e_ard_3-0-0_103069_2013-06-25_final
2013-06-25 10:30:38	ga_ls7e_ard_3-0-0_103070_2013-06-25_final
2013-06-25 10:31:02	ga_ls7e_ard_3-0-0_103071_2013-06-25_final
2013-06-25 10:31:26	ga_ls7e_ard_3-0-0_103072_2013-06-25_final
2013-06-25 10:31:50	ga_ls7e_ard_3-0-0_103073_2013-06-25_final
2013-06-25 10:32:14	ga_ls7e_ard_3-0-0_103074_2013-06-25_final
2013-06-25 10:32:38	ga_ls7e_ard_3-0-0_103075_2013-06-25_final
2013-06-25 10:33:02	ga_ls7e_ard_3-0-0_103076_2013-06-25_final
2013-06-25 10:33:26	ga_ls7e_ard_3-0-0_103077_2013-06-25_final
2013-06-25 10:33:50	ga_ls7e_ard_3-0-0_103078_2013-06-25_final
2013-06-26 09:33:49	ga_ls7e_ard_3-1-0_094067_2013-06-26_final
2013-06-26 09:36:12	ga_ls7e_ard_3-0-0_094073_2013-06-26_final
2013-06-26 09:36:36	ga_ls7e_ard_3-0-0_094074_2013-06-26_final
2013-06-26 09:37:00	ga_ls7e_ard_3-0-0_094075_2013-06-26_final

Return to ga_ls7e_ard_3 across June 2013 overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2013

June

All days