Search ga_ls7e_ard_3 whole collection

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
2009-02-12 11:25:32	ga_ls7e_ard_3-0-0_113067_2009-02-12_final
2009-02-14 11:17:11	ga_ls7e_ard_3-0-0_111077_2009-02-14_final
2009-02-14 11:17:35	ga_ls7e_ard_3-0-0_111078_2009-02-14_final
2009-02-14 11:17:58	ga_ls7e_ard_3-0-0_111079_2009-02-14_final
2009-02-14 11:18:22	ga_ls7e_ard_3-0-0_111080_2009-02-14_final
2009-02-14 11:18:46	ga_ls7e_ard_3-0-0_111081_2009-02-14_final
2009-02-14 11:19:10	ga_ls7e_ard_3-1-0_111082_2009-02-14_final
2009-03-23 11:32:03	ga_ls7e_ard_3-0-0_114067_2009-03-23_final
2009-03-25 11:22:29	ga_ls7e_ard_3-1-0_112074_2009-03-25_final
2009-03-25 11:22:53	ga_ls7e_ard_3-0-0_112075_2009-03-25_final
2009-03-25 11:23:17	ga_ls7e_ard_3-0-0_112076_2009-03-25_final
2009-03-25 11:23:41	ga_ls7e_ard_3-0-0_112077_2009-03-25_final
2009-03-25 11:24:05	ga_ls7e_ard_3-0-0_112078_2009-03-25_final
2009-04-17 11:26:00	ga_ls7e_ard_3-0-0_113067_2009-04-17_final
2009-04-24 11:32:13	ga_ls7e_ard_3-0-0_114067_2009-04-24_final
2009-04-26 11:22:39	ga_ls7e_ard_3-0-0_112074_2009-04-26_final
2009-04-26 11:23:03	ga_ls7e_ard_3-0-0_112075_2009-04-26_final
2009-04-26 11:23:27	ga_ls7e_ard_3-0-0_112076_2009-04-26_final
2009-04-26 11:23:51	ga_ls7e_ard_3-1-0_112077_2009-04-26_final
2009-04-26 11:24:15	ga_ls7e_ard_3-0-0_112078_2009-04-26_final
2009-04-28 11:13:06	ga_ls7e_ard_3-0-0_110081_2009-04-28_final
2009-04-28 11:13:30	ga_ls7e_ard_3-0-0_110082_2009-04-28_final
2009-05-07 11:08:08	ga_ls7e_ard_3-0-0_109084_2009-05-07_final
2009-05-26 11:32:17	ga_ls7e_ard_3-0-0_114067_2009-05-26_final
2011-06-17 11:35:25	ga_ls7e_ard_3-0-0_114067_2011-06-17_final
2011-08-31 11:20:39	ga_ls7e_ard_3-0-0_111077_2011-08-31_final
2011-08-31 11:21:03	ga_ls7e_ard_3-0-0_111078_2011-08-31_final
2011-08-31 11:21:27	ga_ls7e_ard_3-0-0_111079_2011-08-31_final
2011-08-31 11:21:51	ga_ls7e_ard_3-0-0_111080_2011-08-31_final
2011-08-31 11:22:15	ga_ls7e_ard_3-0-0_111081_2011-08-31_final
2011-08-31 11:22:39	ga_ls7e_ard_3-1-0_111082_2011-08-31_final
2016-08-12 11:29:54	ga_ls7e_ard_3-0-0_111077_2016-08-12_final
2016-08-12 11:30:18	ga_ls7e_ard_3-0-0_111078_2016-08-12_final
2016-08-12 11:30:42	ga_ls7e_ard_3-0-0_111079_2016-08-12_final
2016-08-12 11:31:06	ga_ls7e_ard_3-0-0_111080_2016-08-12_final
2016-08-12 11:31:30	ga_ls7e_ard_3-0-0_111081_2016-08-12_final
2016-08-12 11:31:54	ga_ls7e_ard_3-1-0_111082_2016-08-12_final
2016-08-14 11:20:20	ga_ls7e_ard_3-0-0_109084_2016-08-14_final
2016-08-17 11:44:27	ga_ls7e_ard_3-0-0_114067_2016-08-17_final
2016-08-19 11:34:54	ga_ls7e_ard_3-0-0_112074_2016-08-19_final
2016-08-19 11:35:18	ga_ls7e_ard_3-0-0_112075_2016-08-19_final
2016-08-19 11:35:42	ga_ls7e_ard_3-0-0_112076_2016-08-19_final
2016-08-19 11:36:06	ga_ls7e_ard_3-0-0_112077_2016-08-19_final
2016-08-19 11:36:30	ga_ls7e_ard_3-0-0_112078_2016-08-19_final
2016-10-20 11:44:34	ga_ls7e_ard_3-0-0_114067_2016-10-20_final
2016-10-22 11:34:59	ga_ls7e_ard_3-0-0_112074_2016-10-22_final
2016-10-22 11:35:23	ga_ls7e_ard_3-0-0_112075_2016-10-22_final
2016-10-22 11:35:47	ga_ls7e_ard_3-0-0_112076_2016-10-22_final
2016-10-22 11:36:11	ga_ls7e_ard_3-0-0_112077_2016-10-22_final
2016-10-22 11:36:35	ga_ls7e_ard_3-0-0_112078_2016-10-22_final
2016-10-24 11:25:25	ga_ls7e_ard_3-0-0_110081_2016-10-24_final
2016-10-24 11:25:48	ga_ls7e_ard_3-0-0_110082_2016-10-24_final
2016-10-24 11:26:12	ga_ls7e_ard_3-0-0_110083_2016-10-24_final
2016-10-24 11:26:36	ga_ls7e_ard_3-0-0_110084_2016-10-24_final
2016-11-05 11:44:28	ga_ls7e_ard_3-0-0_114067_2016-11-05_final
2017-02-06 11:19:42	ga_ls7e_ard_3-0-0_109084_2017-02-06_final
2017-02-11 11:34:10	ga_ls7e_ard_3-0-0_112074_2017-02-11_final
2017-02-11 11:34:34	ga_ls7e_ard_3-0-0_112075_2017-02-11_final
2017-02-11 11:34:58	ga_ls7e_ard_3-0-0_112076_2017-02-11_final
2017-02-11 11:35:22	ga_ls7e_ard_3-0-0_112077_2017-02-11_final
2017-02-11 11:35:46	ga_ls7e_ard_3-0-0_112078_2017-02-11_final
2018-02-05 11:37:17	ga_ls7e_ard_3-0-0_113067_2018-02-05_final
2018-02-07 11:28:52	ga_ls7e_ard_3-0-0_111077_2018-02-07_final
2018-02-07 11:29:16	ga_ls7e_ard_3-0-0_111078_2018-02-07_final
2018-02-07 11:29:40	ga_ls7e_ard_3-0-0_111079_2018-02-07_final
2018-02-07 11:30:04	ga_ls7e_ard_3-0-0_111080_2018-02-07_final
2018-02-07 11:30:28	ga_ls7e_ard_3-0-0_111081_2018-02-07_final
2018-02-09 11:19:17	ga_ls7e_ard_3-0-0_109084_2018-02-09_final
2018-02-12 11:43:23	ga_ls7e_ard_3-0-0_114067_2018-02-12_final
2018-02-14 11:33:48	ga_ls7e_ard_3-0-0_112074_2018-02-14_final
2018-02-14 11:34:11	ga_ls7e_ard_3-0-0_112075_2018-02-14_final
2018-02-14 11:34:35	ga_ls7e_ard_3-0-0_112076_2018-02-14_final
2018-02-14 11:34:59	ga_ls7e_ard_3-0-0_112077_2018-02-14_final
2018-02-14 11:35:23	ga_ls7e_ard_3-0-0_112078_2018-02-14_final
2018-02-21 11:37:07	ga_ls7e_ard_3-0-0_113067_2018-02-21_final
2018-07-31 11:34:30	ga_ls7e_ard_3-0-0_113067_2018-07-31_final
2018-08-02 11:26:06	ga_ls7e_ard_3-0-0_111077_2018-08-02_final
2018-08-02 11:26:30	ga_ls7e_ard_3-0-0_111078_2018-08-02_final
2018-08-02 11:26:54	ga_ls7e_ard_3-0-0_111079_2018-08-02_final
2018-08-02 11:27:18	ga_ls7e_ard_3-0-0_111080_2018-08-02_final
2018-08-02 11:27:42	ga_ls7e_ard_3-0-0_111081_2018-08-02_final
2018-08-02 11:28:05	ga_ls7e_ard_3-1-0_111082_2018-08-02_final
2018-08-18 11:25:48	ga_ls7e_ard_3-0-0_111077_2018-08-18_final
2018-08-18 11:26:12	ga_ls7e_ard_3-0-0_111078_2018-08-18_final
2018-08-18 11:26:36	ga_ls7e_ard_3-0-0_111079_2018-08-18_final
2018-08-18 11:26:59	ga_ls7e_ard_3-0-0_111080_2018-08-18_final
2018-08-18 11:27:23	ga_ls7e_ard_3-0-0_111081_2018-08-18_final
2018-08-18 11:27:47	ga_ls7e_ard_3-1-0_111082_2018-08-18_final
2018-09-03 11:25:28	ga_ls7e_ard_3-0-0_111077_2018-09-03_final
2018-09-03 11:25:52	ga_ls7e_ard_3-0-0_111078_2018-09-03_final
2018-09-03 11:26:16	ga_ls7e_ard_3-0-0_111079_2018-09-03_final
2018-09-03 11:26:40	ga_ls7e_ard_3-0-0_111080_2018-09-03_final
2018-09-03 11:27:04	ga_ls7e_ard_3-0-0_111081_2018-09-03_final
2018-09-03 11:27:28	ga_ls7e_ard_3-1-0_111082_2018-09-03_final
2018-09-08 11:39:55	ga_ls7e_ard_3-0-0_114067_2018-09-08_final
2019-01-07 11:30:42	ga_ls7e_ard_3-0-0_113067_2019-01-07_final
2019-04-06 11:24:28	ga_ls7e_ard_3-0-0_112074_2019-04-06_final
2019-04-06 11:24:52	ga_ls7e_ard_3-0-0_112075_2019-04-06_final
2019-04-06 11:25:16	ga_ls7e_ard_3-0-0_112076_2019-04-06_final
2019-04-06 11:25:40	ga_ls7e_ard_3-0-0_112077_2019-04-06_final

Return to ga_ls7e_ard_3 whole collection 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

All years