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
1999-09-13 11:32:30	ga_ls7e_ard_3-1-0_113077_1999-09-13_final
2004-10-10 11:39:43	ga_ls7e_ard_3-1-0_115075_2004-10-10_final
2009-08-21 11:42:11	ga_ls7e_ard_3-1-0_115077_2009-08-21_final
2010-07-23 11:44:14	ga_ls7e_ard_3-1-0_115077_2010-07-23_final
2010-10-11 11:44:20	ga_ls7e_ard_3-1-0_115077_2010-10-11_final
2010-10-27 11:44:30	ga_ls7e_ard_3-1-0_115077_2010-10-27_final
2011-03-04 11:45:32	ga_ls7e_ard_3-1-0_115077_2011-03-04_final
2012-01-18 11:46:01	ga_ls7e_ard_3-1-0_115077_2012-01-18_final
2012-02-19 11:46:08	ga_ls7e_ard_3-1-0_115077_2012-02-19_final
2012-04-23 11:46:14	ga_ls7e_ard_3-1-0_115077_2012-04-23_final
2012-05-25 11:46:35	ga_ls7e_ard_3-1-0_115077_2012-05-25_final
2012-06-10 11:46:22	ga_ls7e_ard_3-1-0_115077_2012-06-10_final
2012-07-12 11:46:45	ga_ls7e_ard_3-1-0_115077_2012-07-12_final
2012-08-29 11:47:16	ga_ls7e_ard_3-1-0_115077_2012-08-29_final
2012-10-16 11:47:45	ga_ls7e_ard_3-1-0_115077_2012-10-16_final
2013-01-20 11:48:10	ga_ls7e_ard_3-1-0_115077_2013-01-20_final
2013-02-05 11:48:13	ga_ls7e_ard_3-1-0_115077_2013-02-05_final
2013-03-25 11:48:03	ga_ls7e_ard_3-1-0_115077_2013-03-25_final
2013-04-10 11:48:02	ga_ls7e_ard_3-1-0_115077_2013-04-10_final
2013-11-20 11:48:11	ga_ls7e_ard_3-1-0_115077_2013-11-20_final
2014-01-07 11:48:27	ga_ls7e_ard_3-1-0_115077_2014-01-07_final
2014-05-31 11:49:23	ga_ls7e_ard_3-1-0_115077_2014-05-31_final
2014-06-16 11:49:24	ga_ls7e_ard_3-1-0_115077_2014-06-16_final
2014-11-23 11:50:17	ga_ls7e_ard_3-1-0_115077_2014-11-23_final
2015-02-27 11:50:51	ga_ls7e_ard_3-1-0_115077_2015-02-27_final
2015-03-15 11:50:57	ga_ls7e_ard_3-1-0_115077_2015-03-15_final
2015-06-19 11:51:37	ga_ls7e_ard_3-1-0_115077_2015-06-19_final
2015-10-25 11:52:22	ga_ls7e_ard_3-1-0_115077_2015-10-25_final
2015-11-10 11:52:37	ga_ls7e_ard_3-1-0_115077_2015-11-10_final
2015-12-12 11:53:08	ga_ls7e_ard_3-1-0_115077_2015-12-12_final
2016-05-20 11:54:25	ga_ls7e_ard_3-1-0_115077_2016-05-20_final
2016-06-14 11:48:22	ga_ls7e_ard_3-1-0_114077_2016-06-14_final
2016-07-07 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-07-07_final
2016-11-12 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-11-12_final
2016-12-30 11:54:20	ga_ls7e_ard_3-1-0_115077_2016-12-30_final
2017-01-31 11:54:01	ga_ls7e_ard_3-1-0_115077_2017-01-31_final
2017-06-19 11:38:53	ga_ls7e_ard_3-1-0_112084_2017-06-19_final
2017-07-26 11:54:39	ga_ls7e_ard_3-1-0_115077_2017-07-26_final
2018-01-02 11:54:09	ga_ls7e_ard_3-1-0_115077_2018-01-02_final
2018-02-03 11:53:40	ga_ls7e_ard_3-1-0_115077_2018-02-03_final
2018-03-07 11:53:18	ga_ls7e_ard_3-1-0_115077_2018-03-07_final
2018-08-30 11:50:16	ga_ls7e_ard_3-1-0_115077_2018-08-30_final
2019-01-05 11:47:07	ga_ls7e_ard_3-1-0_115077_2019-01-05_final
2019-02-06 11:46:06	ga_ls7e_ard_3-1-0_115077_2019-02-06_final
2019-02-22 11:45:37	ga_ls7e_ard_3-1-0_115077_2019-02-22_final
2019-02-24 11:33:12	ga_ls7e_ard_3-1-0_113077_2019-02-24_final
2019-03-10 11:45:55	ga_ls7e_ard_3-1-0_115079_2019-03-10_final
2019-03-12 11:32:42	ga_ls7e_ard_3-1-0_113077_2019-03-12_final
2019-03-19 11:38:39	ga_ls7e_ard_3-1-0_114077_2019-03-19_final
2019-05-13 11:42:50	ga_ls7e_ard_3-1-0_115077_2019-05-13_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2019-07-16 11:40:26	ga_ls7e_ard_3-1-0_115077_2019-07-16_final
2019-08-26 11:32:35	ga_ls7e_ard_3-1-0_114077_2019-08-26_final
2019-09-02 11:39:15	ga_ls7e_ard_3-1-0_115079_2019-09-02_final
2019-09-04 11:26:01	ga_ls7e_ard_3-1-0_113077_2019-09-04_final
2019-09-11 11:27:54	ga_ls7e_ard_3-1-0_114067_2019-09-11_final
2019-09-11 11:31:53	ga_ls7e_ard_3-1-0_114077_2019-09-11_final
2019-09-18 11:37:45	ga_ls7e_ard_3-1-0_115077_2019-09-18_final
2019-09-18 11:38:33	ga_ls7e_ard_3-1-0_115079_2019-09-18_final
2019-09-27 11:31:11	ga_ls7e_ard_3-1-0_114077_2019-09-27_final
2019-10-06 11:24:38	ga_ls7e_ard_3-1-0_113077_2019-10-06_final
2019-10-13 11:30:31	ga_ls7e_ard_3-1-0_114077_2019-10-13_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-10-29 11:29:50	ga_ls7e_ard_3-1-0_114077_2019-10-29_final
2019-11-07 11:22:03	ga_ls7e_ard_3-1-0_113074_2019-11-07_final
2019-11-07 11:23:15	ga_ls7e_ard_3-1-0_113077_2019-11-07_final
2019-11-14 11:25:07	ga_ls7e_ard_3-1-0_114067_2019-11-14_final
2019-11-14 11:29:06	ga_ls7e_ard_3-1-0_114077_2019-11-14_final
2019-11-23 11:22:30	ga_ls7e_ard_3-1-0_113077_2019-11-23_final
2019-11-30 11:28:21	ga_ls7e_ard_3-1-0_114077_2019-11-30_final
2019-12-07 11:34:59	ga_ls7e_ard_3-1-0_115079_2019-12-07_final
2019-12-09 11:21:43	ga_ls7e_ard_3-1-0_113077_2019-12-09_final
2019-12-16 11:27:33	ga_ls7e_ard_3-1-0_114077_2019-12-16_final
2019-12-23 11:34:10	ga_ls7e_ard_3-1-0_115079_2019-12-23_final
2020-01-01 11:22:44	ga_ls7e_ard_3-1-0_114067_2020-01-01_final
2020-01-01 11:26:43	ga_ls7e_ard_3-1-0_114077_2020-01-01_final
2020-01-08 11:32:32	ga_ls7e_ard_3-1-0_115077_2020-01-08_final
2020-01-08 11:33:20	ga_ls7e_ard_3-1-0_115079_2020-01-08_final
2020-01-10 11:18:53	ga_ls7e_ard_3-1-0_113074_2020-01-10_final
2020-01-17 11:25:55	ga_ls7e_ard_3-1-0_114077_2020-01-17_final
2020-01-26 11:18:05	ga_ls7e_ard_3-1-0_113074_2020-01-26_final
2020-02-02 11:25:07	ga_ls7e_ard_3-1-0_114077_2020-02-02_final
2020-02-11 11:18:29	ga_ls7e_ard_3-1-0_113077_2020-02-11_final
2020-02-18 11:24:17	ga_ls7e_ard_3-1-0_114077_2020-02-18_final
2020-02-27 11:16:26	ga_ls7e_ard_3-1-0_113074_2020-02-27_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-03-05 11:23:26	ga_ls7e_ard_3-1-0_114077_2020-03-05_final
2020-03-12 11:29:14	ga_ls7e_ard_3-1-0_115077_2020-03-12_final
2020-03-21 11:22:34	ga_ls7e_ard_3-1-0_114077_2020-03-21_final
2020-03-28 11:27:09	ga_ls7e_ard_3-1-0_115074_2020-03-28_final
2020-03-28 11:29:09	ga_ls7e_ard_3-1-0_115079_2020-03-28_final
2020-03-30 11:15:53	ga_ls7e_ard_3-1-0_113077_2020-03-30_final
2020-04-06 11:17:40	ga_ls7e_ard_3-1-0_114067_2020-04-06_final
2020-04-06 11:21:40	ga_ls7e_ard_3-1-0_114077_2020-04-06_final
2020-04-13 11:27:26	ga_ls7e_ard_3-1-0_115077_2020-04-13_final
2020-04-13 11:28:14	ga_ls7e_ard_3-1-0_115079_2020-04-13_final
2020-04-15 11:13:46	ga_ls7e_ard_3-1-0_113074_2020-04-15_final
2020-04-22 11:16:44	ga_ls7e_ard_3-1-0_114067_2020-04-22_final
2020-04-22 11:20:44	ga_ls7e_ard_3-1-0_114077_2020-04-22_final
2020-04-29 11:26:30	ga_ls7e_ard_3-1-0_115077_2020-04-29_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