Search ga_ls7e_ard_3 across August 2014

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
2014-08-01 10:20:43	ga_ls7e_ard_3-0-0_101071_2014-08-01_final
2014-08-01 10:21:07	ga_ls7e_ard_3-0-0_101072_2014-08-01_final
2014-08-01 10:21:31	ga_ls7e_ard_3-0-0_101073_2014-08-01_final
2014-08-01 10:21:55	ga_ls7e_ard_3-0-0_101074_2014-08-01_final
2014-08-01 10:22:19	ga_ls7e_ard_3-1-0_101075_2014-08-01_final
2014-08-01 10:22:43	ga_ls7e_ard_3-0-0_101076_2014-08-01_final
2014-08-01 10:23:07	ga_ls7e_ard_3-0-0_101077_2014-08-01_final
2014-08-01 10:23:31	ga_ls7e_ard_3-0-0_101078_2014-08-01_final
2014-08-01 10:23:55	ga_ls7e_ard_3-0-0_101079_2014-08-01_final
2014-08-01 10:24:19	ga_ls7e_ard_3-0-0_101080_2014-08-01_final
2014-08-01 10:24:43	ga_ls7e_ard_3-0-0_101081_2014-08-01_final
2014-08-01 10:25:07	ga_ls7e_ard_3-0-0_101082_2014-08-01_final
2014-08-01 10:25:31	ga_ls7e_ard_3-0-0_101083_2014-08-01_final
2014-08-02 09:26:42	ga_ls7e_ard_3-0-0_092075_2014-08-01_final
2014-08-02 09:27:06	ga_ls7e_ard_3-0-0_092076_2014-08-01_final
2014-08-02 09:27:30	ga_ls7e_ard_3-0-0_092077_2014-08-01_final
2014-08-02 09:27:54	ga_ls7e_ard_3-0-0_092078_2014-08-01_final
2014-08-02 09:28:18	ga_ls7e_ard_3-0-0_092079_2014-08-01_final
2014-08-02 09:28:42	ga_ls7e_ard_3-0-0_092080_2014-08-01_final
2014-08-02 09:29:06	ga_ls7e_ard_3-0-0_092081_2014-08-01_final
2014-08-02 09:29:30	ga_ls7e_ard_3-0-0_092082_2014-08-01_final
2014-08-02 09:29:54	ga_ls7e_ard_3-1-0_092083_2014-08-01_final
2014-08-02 09:30:18	ga_ls7e_ard_3-0-0_092084_2014-08-02_final
2014-08-02 09:30:42	ga_ls7e_ard_3-0-0_092085_2014-08-02_final
2014-08-02 09:31:05	ga_ls7e_ard_3-0-0_092086_2014-08-02_final
2014-08-02 09:31:29	ga_ls7e_ard_3-0-0_092087_2014-08-02_final
2014-08-02 09:31:53	ga_ls7e_ard_3-0-0_092088_2014-08-02_final
2014-08-02 09:32:17	ga_ls7e_ard_3-0-0_092089_2014-08-02_final
2014-08-02 11:03:11	ga_ls7e_ard_3-0-0_108069_2014-08-02_final
2014-08-02 11:03:35	ga_ls7e_ard_3-0-0_108070_2014-08-02_final
2014-08-02 11:03:59	ga_ls7e_ard_3-0-0_108071_2014-08-02_final
2014-08-02 11:04:23	ga_ls7e_ard_3-0-0_108072_2014-08-02_final
2014-08-02 11:04:47	ga_ls7e_ard_3-0-0_108073_2014-08-02_final
2014-08-02 11:05:35	ga_ls7e_ard_3-1-0_108075_2014-08-02_final
2014-08-02 11:05:59	ga_ls7e_ard_3-0-0_108076_2014-08-02_final
2014-08-02 11:06:23	ga_ls7e_ard_3-0-0_108077_2014-08-02_final
2014-08-02 11:06:47	ga_ls7e_ard_3-0-0_108078_2014-08-02_final
2014-08-02 11:07:11	ga_ls7e_ard_3-0-0_108079_2014-08-02_final
2014-08-02 11:07:35	ga_ls7e_ard_3-0-0_108080_2014-08-02_final
2014-08-02 11:07:59	ga_ls7e_ard_3-0-0_108081_2014-08-02_final
2014-08-02 11:08:23	ga_ls7e_ard_3-0-0_108082_2014-08-02_final
2014-08-02 11:08:47	ga_ls7e_ard_3-0-0_108083_2014-08-02_final
2014-08-02 11:09:11	ga_ls7e_ard_3-0-0_108084_2014-08-02_final
2014-08-13 09:13:46	ga_ls7e_ard_3-1-0_089089_2014-08-12_final
2014-08-13 09:14:10	ga_ls7e_ard_3-0-0_089090_2014-08-12_final
2014-08-13 10:44:16	ga_ls7e_ard_3-0-0_105068_2014-08-13_final
2014-08-13 10:44:40	ga_ls7e_ard_3-0-0_105069_2014-08-13_final
2014-08-13 10:45:04	ga_ls7e_ard_3-0-0_105070_2014-08-13_final
2014-08-13 10:45:28	ga_ls7e_ard_3-0-0_105071_2014-08-13_final
2014-08-13 10:45:51	ga_ls7e_ard_3-0-0_105072_2014-08-13_final
2014-08-13 10:46:15	ga_ls7e_ard_3-0-0_105073_2014-08-13_final
2014-08-13 10:46:39	ga_ls7e_ard_3-0-0_105074_2014-08-13_final
2014-08-13 10:47:03	ga_ls7e_ard_3-0-0_105075_2014-08-13_final
2014-08-13 10:47:27	ga_ls7e_ard_3-0-0_105076_2014-08-13_final
2014-08-13 10:47:51	ga_ls7e_ard_3-0-0_105077_2014-08-13_final
2014-08-13 10:48:15	ga_ls7e_ard_3-0-0_105078_2014-08-13_final
2014-08-13 10:48:39	ga_ls7e_ard_3-0-0_105079_2014-08-13_final
2014-08-13 10:49:03	ga_ls7e_ard_3-1-0_105080_2014-08-13_final
2014-08-13 10:49:27	ga_ls7e_ard_3-0-0_105081_2014-08-13_final
2014-08-13 10:49:51	ga_ls7e_ard_3-0-0_105082_2014-08-13_final
2014-08-14 09:48:14	ga_ls7e_ard_3-0-0_096067_2014-08-14_final
2014-08-14 09:51:02	ga_ls7e_ard_3-0-0_096074_2014-08-14_final
2014-08-14 09:51:26	ga_ls7e_ard_3-0-0_096075_2014-08-14_final
2014-08-14 09:51:50	ga_ls7e_ard_3-0-0_096076_2014-08-14_final
2014-08-14 09:52:14	ga_ls7e_ard_3-0-0_096077_2014-08-14_final
2014-08-14 09:52:38	ga_ls7e_ard_3-0-0_096078_2014-08-14_final
2014-08-14 09:53:02	ga_ls7e_ard_3-0-0_096079_2014-08-14_final
2014-08-14 09:53:26	ga_ls7e_ard_3-0-0_096080_2014-08-14_final
2014-08-14 09:53:50	ga_ls7e_ard_3-0-0_096081_2014-08-14_final
2014-08-14 09:54:14	ga_ls7e_ard_3-0-0_096082_2014-08-14_final
2014-08-14 09:54:37	ga_ls7e_ard_3-0-0_096083_2014-08-14_final
2014-08-14 09:55:01	ga_ls7e_ard_3-0-0_096084_2014-08-14_final
2014-08-14 09:55:25	ga_ls7e_ard_3-0-0_096085_2014-08-14_final
2014-08-14 09:55:49	ga_ls7e_ard_3-1-0_096086_2014-08-14_final
2014-08-15 10:31:54	ga_ls7e_ard_3-0-0_103068_2014-08-15_final
2014-08-15 10:32:18	ga_ls7e_ard_3-0-0_103069_2014-08-15_final
2014-08-15 10:32:42	ga_ls7e_ard_3-0-0_103070_2014-08-15_final
2014-08-15 10:33:06	ga_ls7e_ard_3-0-0_103071_2014-08-15_final
2014-08-15 10:33:30	ga_ls7e_ard_3-0-0_103072_2014-08-15_final
2014-08-15 10:33:54	ga_ls7e_ard_3-0-0_103073_2014-08-15_final
2014-08-15 10:34:18	ga_ls7e_ard_3-0-0_103074_2014-08-15_final
2014-08-15 10:34:41	ga_ls7e_ard_3-0-0_103075_2014-08-15_final
2014-08-15 10:35:05	ga_ls7e_ard_3-0-0_103076_2014-08-15_final
2014-08-15 10:35:29	ga_ls7e_ard_3-0-0_103077_2014-08-15_final
2014-08-15 10:35:53	ga_ls7e_ard_3-0-0_103078_2014-08-15_final
2014-08-15 10:36:17	ga_ls7e_ard_3-0-0_103079_2014-08-15_final
2014-08-15 10:36:41	ga_ls7e_ard_3-0-0_103080_2014-08-15_final
2014-08-15 10:37:05	ga_ls7e_ard_3-0-0_103081_2014-08-15_final
2014-08-15 10:37:29	ga_ls7e_ard_3-0-0_103082_2014-08-15_final
2014-08-16 09:35:53	ga_ls7e_ard_3-1-0_094067_2014-08-16_final
2014-08-16 09:39:52	ga_ls7e_ard_3-0-0_094077_2014-08-16_final
2014-08-16 09:40:16	ga_ls7e_ard_3-0-0_094078_2014-08-16_final
2014-08-16 09:40:40	ga_ls7e_ard_3-0-0_094079_2014-08-16_final
2014-08-16 09:41:04	ga_ls7e_ard_3-0-0_094080_2014-08-16_final
2014-08-16 09:43:03	ga_ls7e_ard_3-0-0_094085_2014-08-16_final
2014-08-16 09:43:27	ga_ls7e_ard_3-0-0_094086_2014-08-16_final
2014-08-16 09:43:51	ga_ls7e_ard_3-0-0_094087_2014-08-16_final
2014-08-16 11:14:46	ga_ls7e_ard_3-0-0_110067_2014-08-16_final
2014-08-16 11:15:57	ga_ls7e_ard_3-0-0_110070_2014-08-16_final
2014-08-16 11:16:21	ga_ls7e_ard_3-0-0_110071_2014-08-16_final

Return to ga_ls7e_ard_3 across August 2014 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

2014

August

All days