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
1999-09-09 10:17:35	ga_ls7e_ard_3-1-0_101075_1999-09-09_final
2000-08-25 09:29:12	ga_ls7e_ard_3-1-0_094067_2000-08-24_final
2001-01-02 11:01:07	ga_ls7e_ard_3-1-0_108082_2001-01-02_final
2001-04-13 11:19:24	ga_ls7e_ard_3-1-0_111082_2001-04-13_final
2002-05-08 09:01:45	ga_ls7e_ard_3-1-0_089081_2002-05-07_final
2002-06-21 11:05:00	ga_ls7e_ard_3-1-0_109081_2002-06-21_final
2002-11-10 09:37:05	ga_ls7e_ard_3-1-0_095079_2002-11-10_final
2003-11-18 09:54:45	ga_ls7e_ard_3-1-0_098075_2003-11-18_final
2004-03-10 10:40:37	ga_ls7e_ard_3-1-0_105080_2004-03-10_final
2005-01-25 11:22:51	ga_ls7e_ard_3-1-0_112077_2005-01-25_final
2006-02-20 09:53:14	ga_ls7e_ard_3-1-0_097083_2006-02-20_final
2006-06-23 09:34:34	ga_ls7e_ard_3-1-0_094083_2006-06-23_final
2006-11-04 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-11-04_final
2007-12-01 11:23:42	ga_ls7e_ard_3-1-0_112077_2007-12-01_final
2008-01-11 09:39:33	ga_ls7e_ard_3-1-0_095079_2008-01-11_final
2008-04-16 09:39:19	ga_ls7e_ard_3-1-0_095079_2008-04-16_final
2008-04-25 09:34:42	ga_ls7e_ard_3-1-0_094083_2008-04-25_final
2008-12-10 09:49:48	ga_ls7e_ard_3-1-0_097076_2008-12-10_final
2009-04-01 09:50:38	ga_ls7e_ard_3-1-0_097076_2009-04-01_final
2009-06-28 10:41:47	ga_ls7e_ard_3-1-0_105080_2009-06-28_final
2009-08-25 09:39:22	ga_ls7e_ard_3-1-0_095079_2009-08-25_final
2009-11-29 09:39:58	ga_ls7e_ard_3-1-0_095079_2009-11-29_final
2009-12-06 11:27:06	ga_ls7e_ard_3-1-0_112084_2009-12-06_final
2010-12-08 10:44:22	ga_ls7e_ard_3-1-0_105080_2010-12-08_final
2011-01-19 09:42:31	ga_ls7e_ard_3-1-0_095079_2011-01-19_final
2011-06-30 09:31:57	ga_ls7e_ard_3-1-0_093083_2011-06-30_final
2011-07-29 10:34:42	ga_ls7e_ard_3-1-0_104070_2011-07-29_final
2011-11-03 09:42:35	ga_ls7e_ard_3-1-0_095079_2011-11-03_final
2011-12-03 09:54:06	ga_ls7e_ard_3-1-0_097076_2011-12-03_final
2012-05-03 10:45:54	ga_ls7e_ard_3-1-0_105080_2012-05-03_final
2013-01-11 10:17:03	ga_ls7e_ard_3-1-0_100081_2013-01-11_final
2013-01-23 10:40:12	ga_ls7e_ard_3-1-0_104077_2013-01-23_final
2013-02-23 09:56:31	ga_ls7e_ard_3-1-0_097076_2013-02-23_final
2014-08-21 09:57:59	ga_ls7e_ard_3-1-0_097076_2014-08-21_final
2014-10-19 09:42:39	ga_ls7e_ard_3-1-0_094083_2014-10-19_final
2015-04-03 10:40:19	ga_ls7e_ard_3-1-0_104070_2015-04-03_final
2015-04-10 10:50:35	ga_ls7e_ard_3-1-0_105080_2015-04-10_final
2015-11-24 10:25:31	ga_ls7e_ard_3-1-0_101075_2015-11-24_final
2015-12-05 10:09:07	ga_ls7e_ard_3-1-0_098080_2015-12-05_final
2016-12-02 09:51:42	ga_ls7e_ard_3-1-0_095079_2016-12-02_final
2017-06-12 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-06-12_final
2017-06-14 09:41:03	ga_ls7e_ard_3-1-0_093083_2017-06-14_final
2017-06-18 10:54:01	ga_ls7e_ard_3-1-0_105080_2017-06-18_final
2017-08-18 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-08-18_final
2017-10-02 09:51:48	ga_ls7e_ard_3-1-0_095079_2017-10-02_final
2018-02-21 10:01:49	ga_ls7e_ard_3-1-0_097076_2018-02-21_final
2018-10-27 10:48:20	ga_ls7e_ard_3-1-0_105080_2018-10-27_final
2019-02-16 10:44:24	ga_ls7e_ard_3-1-0_105078_2019-02-16_final
2019-02-17 09:47:57	ga_ls7e_ard_3-1-0_096076_2019-02-17_final
2019-02-18 10:30:47	ga_ls7e_ard_3-1-0_103075_2019-02-18_final
2019-02-18 10:32:23	ga_ls7e_ard_3-1-0_103079_2019-02-18_final
2019-03-04 10:41:31	ga_ls7e_ard_3-1-0_105072_2019-03-04_final
2019-03-15 10:25:25	ga_ls7e_ard_3-1-0_102079_2019-03-15_final
2019-03-29 10:34:06	ga_ls7e_ard_3-1-0_104071_2019-03-29_final
2019-08-27 10:37:43	ga_ls7e_ard_3-1-0_105079_2019-08-27_final
2019-09-05 10:30:21	ga_ls7e_ard_3-1-0_104077_2019-09-05_final
2019-09-11 09:55:00	ga_ls7e_ard_3-1-0_098082_2019-09-11_final
2019-10-07 10:28:10	ga_ls7e_ard_3-1-0_104075_2019-10-07_final
2019-10-09 10:14:32	ga_ls7e_ard_3-1-0_102072_2019-10-09_final
2019-10-10 09:21:40	ga_ls7e_ard_3-1-0_093079_2019-10-09_final
2019-10-31 11:17:23	ga_ls7e_ard_3-1-0_112077_2019-10-31_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-09 09:31:55	ga_ls7e_ard_3-1-0_095077_2019-11-09_final
2019-11-17 10:21:47	ga_ls7e_ard_3-1-0_103079_2019-11-17_final
2019-11-23 09:43:13	ga_ls7e_ard_3-1-0_097076_2019-11-23_final
2019-11-30 09:48:16	ga_ls7e_ard_3-1-0_098074_2019-11-30_final
2020-02-04 11:12:39	ga_ls7e_ard_3-1-0_112077_2020-02-04_final
2020-02-08 09:14:02	ga_ls7e_ard_3-1-0_092090_2020-02-07_final
2020-02-10 10:36:04	ga_ls7e_ard_3-1-0_106079_2020-02-10_final
2020-02-14 10:11:32	ga_ls7e_ard_3-1-0_102080_2020-02-14_final
2020-02-20 09:32:57	ga_ls7e_ard_3-1-0_096077_2020-02-20_final
2020-03-06 10:28:58	ga_ls7e_ard_3-1-0_105080_2020-03-06_final
2020-03-25 09:18:20	ga_ls7e_ard_3-1-0_094076_2020-03-24_final
2020-04-08 11:09:35	ga_ls7e_ard_3-1-0_112078_2020-04-08_final
2021-02-27 09:26:15	ga_ls7e_ard_3-2-0_099074_2021-02-26_final
2021-04-01 10:08:04	ga_ls7e_ard_3-2-0_106077_2021-04-01_final
2021-04-02 09:14:46	ga_ls7e_ard_3-2-0_097083_2021-04-01_final
2021-04-04 09:00:39	ga_ls7e_ard_3-2-0_095079_2021-04-03_final
2021-04-22 08:47:58	ga_ls7e_ard_3-2-0_093082_2021-04-21_final
2021-05-19 08:27:10	ga_ls7e_ard_3-2-0_090082_2021-05-18_final
2021-05-19 10:06:26	ga_ls7e_ard_3-2-0_106083_2021-05-19_final
2021-05-23 09:38:35	ga_ls7e_ard_3-2-0_102076_2021-05-23_final
2021-05-23 09:40:11	ga_ls7e_ard_3-2-0_102080_2021-05-23_final
2021-06-05 10:45:04	ga_ls7e_ard_3-2-0_113075_2021-06-05_final
2021-06-16 10:26:50	ga_ls7e_ard_3-2-0_110078_2021-06-16_final
2021-06-16 10:27:14	ga_ls7e_ard_3-2-0_110079_2021-06-16_final
2021-06-21 09:05:17	ga_ls7e_ard_3-2-0_097076_2021-06-20_final
2021-07-04 10:10:35	ga_ls7e_ard_3-2-0_108072_2021-07-04_final
2021-07-07 09:06:20	ga_ls7e_ard_3-2-0_097082_2021-07-06_final
2021-07-09 08:54:12	ga_ls7e_ard_3-2-0_095083_2021-07-08_final
2021-07-18 10:24:32	ga_ls7e_ard_3-2-0_110079_2021-07-18_final
2021-07-25 08:51:14	ga_ls7e_ard_3-2-0_095079_2021-07-24_final
2021-07-27 10:14:47	ga_ls7e_ard_3-2-0_109072_2021-07-27_final
2021-08-03 08:44:40	ga_ls7e_ard_3-2-0_094080_2021-08-02_final
2021-08-17 08:52:59	ga_ls7e_ard_3-2-0_096073_2021-08-16_final
2021-08-30 08:22:58	ga_ls7e_ard_3-2-0_091078_2021-08-29_final
2021-10-12 09:37:54	ga_ls7e_ard_3-2-0_104074_2021-10-12_final
2021-10-13 10:23:28	ga_ls7e_ard_3-2-0_111080_2021-10-13_final
2021-10-15 10:09:44	ga_ls7e_ard_3-2-0_109077_2021-10-15_final
2021-10-31 08:30:59	ga_ls7e_ard_3-2-0_093081_2021-10-30_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years