Search ga_ls7e_ard_3 across December 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
2014-12-03 09:10:06	ga_ls7e_ard_3-0-0_089078_2014-12-02_final
2014-12-03 09:10:30	ga_ls7e_ard_3-0-0_089079_2014-12-02_final
2014-12-03 09:10:54	ga_ls7e_ard_3-0-0_089080_2014-12-02_final
2014-12-03 09:11:18	ga_ls7e_ard_3-1-0_089081_2014-12-02_final
2014-12-03 09:11:42	ga_ls7e_ard_3-0-0_089082_2014-12-02_final
2014-12-03 09:12:05	ga_ls7e_ard_3-0-0_089083_2014-12-02_final
2014-12-03 09:12:29	ga_ls7e_ard_3-0-0_089084_2014-12-02_final
2014-12-04 09:48:58	ga_ls7e_ard_3-0-0_096067_2014-12-04_final
2014-12-04 09:50:10	ga_ls7e_ard_3-0-0_096070_2014-12-04_final
2014-12-04 09:50:34	ga_ls7e_ard_3-0-0_096071_2014-12-04_final
2014-12-04 09:50:58	ga_ls7e_ard_3-0-0_096072_2014-12-04_final
2014-12-04 09:51:22	ga_ls7e_ard_3-0-0_096073_2014-12-04_final
2014-12-04 09:51:46	ga_ls7e_ard_3-0-0_096074_2014-12-04_final
2014-12-04 09:52:10	ga_ls7e_ard_3-0-0_096075_2014-12-04_final
2014-12-04 09:52:34	ga_ls7e_ard_3-0-0_096076_2014-12-04_final
2014-12-09 10:07:31	ga_ls7e_ard_3-0-0_099067_2014-12-09_final
2014-12-09 10:07:55	ga_ls7e_ard_3-0-0_099068_2014-12-09_final
2014-12-09 10:08:19	ga_ls7e_ard_3-0-0_099069_2014-12-09_final
2014-12-09 10:08:43	ga_ls7e_ard_3-0-0_099070_2014-12-09_final
2014-12-09 10:09:07	ga_ls7e_ard_3-0-0_099071_2014-12-09_final
2014-12-09 10:09:31	ga_ls7e_ard_3-0-0_099072_2014-12-09_final
2014-12-09 10:09:55	ga_ls7e_ard_3-0-0_099073_2014-12-09_final
2014-12-09 10:10:19	ga_ls7e_ard_3-0-0_099074_2014-12-09_final
2014-12-09 10:10:43	ga_ls7e_ard_3-0-0_099075_2014-12-09_final
2014-12-09 10:11:07	ga_ls7e_ard_3-0-0_099076_2014-12-09_final
2014-12-09 10:11:30	ga_ls7e_ard_3-0-0_099077_2014-12-09_final
2014-12-09 10:11:54	ga_ls7e_ard_3-0-0_099078_2014-12-09_final
2014-12-09 10:12:18	ga_ls7e_ard_3-0-0_099079_2014-12-09_final
2014-12-09 10:12:42	ga_ls7e_ard_3-0-0_099080_2014-12-09_final
2014-12-09 10:13:06	ga_ls7e_ard_3-0-0_099081_2014-12-09_final
2014-12-09 10:13:30	ga_ls7e_ard_3-0-0_099082_2014-12-09_final
2014-12-09 10:13:54	ga_ls7e_ard_3-0-0_099083_2014-12-09_final
2014-12-09 10:14:18	ga_ls7e_ard_3-0-0_099084_2014-12-09_final
2014-12-09 11:49:12	ga_ls7e_ard_3-0-0_115074_2014-12-09_final
2014-12-09 11:49:36	ga_ls7e_ard_3-0-0_115075_2014-12-09_final
2014-12-09 11:50:00	ga_ls7e_ard_3-0-0_115076_2014-12-09_final
2014-12-09 11:50:24	ga_ls7e_ard_3-1-0_115077_2014-12-09_final
2014-12-09 11:50:47	ga_ls7e_ard_3-0-0_115078_2014-12-09_final
2014-12-09 11:51:11	ga_ls7e_ard_3-0-0_115079_2014-12-09_final
2014-12-10 09:15:53	ga_ls7e_ard_3-0-0_090077_2014-12-09_final
2014-12-10 09:16:17	ga_ls7e_ard_3-0-0_090078_2014-12-09_final
2014-12-10 09:16:41	ga_ls7e_ard_3-0-0_090079_2014-12-09_final
2014-12-10 09:17:05	ga_ls7e_ard_3-0-0_090080_2014-12-09_final
2014-12-10 09:17:29	ga_ls7e_ard_3-0-0_090081_2014-12-09_final
2014-12-10 09:17:53	ga_ls7e_ard_3-0-0_090082_2014-12-09_final
2014-12-10 09:18:17	ga_ls7e_ard_3-0-0_090083_2014-12-09_final
2014-12-10 09:18:41	ga_ls7e_ard_3-0-0_090084_2014-12-09_final
2014-12-10 09:19:05	ga_ls7e_ard_3-1-0_090085_2014-12-09_final
2014-12-10 09:19:29	ga_ls7e_ard_3-0-0_090086_2014-12-09_final
2014-12-10 10:51:11	ga_ls7e_ard_3-0-0_106068_2014-12-10_final
2014-12-10 10:51:35	ga_ls7e_ard_3-0-0_106069_2014-12-10_final
2014-12-10 10:51:59	ga_ls7e_ard_3-0-0_106070_2014-12-10_final
2014-12-10 10:52:23	ga_ls7e_ard_3-0-0_106071_2014-12-10_final
2014-12-10 10:52:47	ga_ls7e_ard_3-0-0_106072_2014-12-10_final
2014-12-10 10:53:11	ga_ls7e_ard_3-0-0_106073_2014-12-10_final
2014-12-10 10:53:35	ga_ls7e_ard_3-0-0_106074_2014-12-10_final
2014-12-10 10:53:59	ga_ls7e_ard_3-1-0_106075_2014-12-10_final
2014-12-10 10:54:22	ga_ls7e_ard_3-0-0_106076_2014-12-10_final
2014-12-10 10:54:46	ga_ls7e_ard_3-1-0_106077_2014-12-10_final
2014-12-10 10:55:10	ga_ls7e_ard_3-0-0_106078_2014-12-10_final
2014-12-10 10:55:34	ga_ls7e_ard_3-0-0_106079_2014-12-10_final
2014-12-10 10:55:58	ga_ls7e_ard_3-0-0_106080_2014-12-10_final
2014-12-11 09:55:59	ga_ls7e_ard_3-0-0_097069_2014-12-11_final
2014-12-11 09:56:23	ga_ls7e_ard_3-0-0_097070_2014-12-11_final
2014-12-11 09:57:34	ga_ls7e_ard_3-0-0_097073_2014-12-11_final
2014-12-11 09:57:58	ga_ls7e_ard_3-0-0_097074_2014-12-11_final
2014-12-11 09:58:22	ga_ls7e_ard_3-0-0_097075_2014-12-11_final
2014-12-11 09:58:46	ga_ls7e_ard_3-0-0_097076_2014-12-11_final
2014-12-11 09:59:10	ga_ls7e_ard_3-0-0_097077_2014-12-11_final
2014-12-11 09:59:34	ga_ls7e_ard_3-0-0_097078_2014-12-11_final
2014-12-11 10:00:46	ga_ls7e_ard_3-0-0_097081_2014-12-11_final
2014-12-11 10:01:34	ga_ls7e_ard_3-0-0_097083_2014-12-11_final
2014-12-11 10:01:58	ga_ls7e_ard_3-0-0_097084_2014-12-11_final
2014-12-11 10:02:22	ga_ls7e_ard_3-0-0_097085_2014-12-11_final
2014-12-11 11:34:04	ga_ls7e_ard_3-0-0_113067_2014-12-11_final
2014-12-11 11:36:52	ga_ls7e_ard_3-0-0_113074_2014-12-11_final
2014-12-11 11:37:16	ga_ls7e_ard_3-0-0_113075_2014-12-11_final
2014-12-11 11:37:39	ga_ls7e_ard_3-0-0_113076_2014-12-11_final
2014-12-11 11:38:03	ga_ls7e_ard_3-0-0_113077_2014-12-11_final
2014-12-11 11:38:27	ga_ls7e_ard_3-0-0_113078_2014-12-11_final
2014-12-11 11:38:51	ga_ls7e_ard_3-0-0_113079_2014-12-11_final
2014-12-11 11:39:15	ga_ls7e_ard_3-0-0_113080_2014-12-11_final
2014-12-11 11:39:39	ga_ls7e_ard_3-0-0_113081_2014-12-11_final
2014-12-11 11:40:03	ga_ls7e_ard_3-0-0_113082_2014-12-11_final
2014-12-11 11:40:27	ga_ls7e_ard_3-0-0_113083_2014-12-11_final
2014-12-11 11:40:51	ga_ls7e_ard_3-0-0_113084_2014-12-11_final
2014-12-12 10:38:52	ga_ls7e_ard_3-0-0_104068_2014-12-12_final
2014-12-12 10:39:16	ga_ls7e_ard_3-0-0_104069_2014-12-12_final
2014-12-12 10:39:40	ga_ls7e_ard_3-1-0_104070_2014-12-12_final
2014-12-12 10:40:03	ga_ls7e_ard_3-0-0_104071_2014-12-12_final
2014-12-12 10:40:27	ga_ls7e_ard_3-0-0_104072_2014-12-12_final
2014-12-12 10:41:15	ga_ls7e_ard_3-0-0_104074_2014-12-12_final
2014-12-12 10:41:39	ga_ls7e_ard_3-0-0_104075_2014-12-12_final
2014-12-12 10:42:03	ga_ls7e_ard_3-0-0_104076_2014-12-12_final
2014-12-12 10:42:27	ga_ls7e_ard_3-0-0_104077_2014-12-12_final
2014-12-12 10:42:51	ga_ls7e_ard_3-0-0_104078_2014-12-12_final
2014-12-12 10:43:15	ga_ls7e_ard_3-0-0_104079_2014-12-12_final
2014-12-12 10:43:39	ga_ls7e_ard_3-0-0_104080_2014-12-12_final
2014-12-12 10:44:03	ga_ls7e_ard_3-0-0_104081_2014-12-12_final
2014-12-12 10:44:27	ga_ls7e_ard_3-0-0_104082_2014-12-12_final

Return to ga_ls7e_ard_3 across December 2014 overview

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

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

2014

December

All days