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
1999-10-01 11:18:43	ga_ls7e_ard_3-0-0_111073_1999-10-01_final
1999-10-17 11:22:37	ga_ls7e_ard_3-0-0_111083_1999-10-17_final
2001-10-15 11:08:08	ga_ls7e_ard_3-0-0_110074_2001-10-15_final
2002-06-19 11:15:23	ga_ls7e_ard_3-0-0_111076_2002-06-19_final
2003-01-29 11:18:35	ga_ls7e_ard_3-0-0_111084_2003-01-29_final
2003-02-14 11:14:22	ga_ls7e_ard_3-0-0_111073_2003-02-14_final
2003-03-09 11:21:00	ga_ls7e_ard_3-0-0_112074_2003-03-09_final
2003-04-28 11:09:04	ga_ls7e_ard_3-0-0_110075_2003-04-28_final
2004-02-08 11:21:22	ga_ls7e_ard_3-0-0_112074_2004-02-08_final
2004-06-08 11:15:10	ga_ls7e_ard_3-0-0_111074_2004-06-08_final
2004-07-24 11:31:21	ga_ls7e_ard_3-0-0_113084_2004-07-24_final
2005-01-02 11:13:03	ga_ls7e_ard_3-0-0_111068_2005-01-02_final
2005-05-26 11:15:16	ga_ls7e_ard_3-0-0_111073_2005-05-26_final
2005-07-22 11:09:43	ga_ls7e_ard_3-0-0_110075_2005-07-22_final
2005-07-28 08:56:08	ga_ls7e_ard_3-0-0_088081_2005-07-27_final
2005-08-30 11:19:18	ga_ls7e_ard_3-0-0_111084_2005-08-30_final
2005-10-01 09:35:52	ga_ls7e_ard_3-1-0_095073_2005-10-01_final
2005-11-02 11:19:26	ga_ls7e_ard_3-0-0_111084_2005-11-02_final
2005-11-09 11:21:42	ga_ls7e_ard_3-0-0_112074_2005-11-09_final
2006-06-14 11:15:41	ga_ls7e_ard_3-0-0_111073_2006-06-14_final
2006-09-16 11:31:58	ga_ls7e_ard_3-0-0_113084_2006-09-16_final
2007-06-01 11:15:32	ga_ls7e_ard_3-0-0_111072_2007-06-01_final
2007-07-28 11:09:39	ga_ls7e_ard_3-0-0_110073_2007-07-28_final
2008-07-19 11:31:47	ga_ls7e_ard_3-0-0_113084_2008-07-19_final
2008-11-03 11:08:29	ga_ls7e_ard_3-0-0_110073_2008-11-03_final
2009-04-03 11:15:58	ga_ls7e_ard_3-0-0_111073_2009-04-03_final
2009-11-25 11:43:32	ga_ls7e_ard_3-0-0_115079_2009-11-25_final
2010-03-21 09:43:21	ga_ls7e_ard_3-0-0_095084_2010-03-21_final
2010-06-07 11:27:47	ga_ls7e_ard_3-0-0_113067_2010-06-07_final
2010-11-14 11:34:21	ga_ls7e_ard_3-0-0_113082_2010-11-14_final
2011-07-26 11:46:17	ga_ls7e_ard_3-0-0_115079_2011-07-26_final
2012-01-11 11:40:15	ga_ls7e_ard_3-0-0_114078_2012-01-11_final
2012-05-13 11:20:24	ga_ls7e_ard_3-0-0_111073_2012-05-13_final
2012-10-20 09:42:35	ga_ls7e_ard_3-1-0_095073_2012-10-20_final
2012-11-14 11:16:14	ga_ls7e_ard_3-0-0_110075_2012-11-14_final
2013-01-24 11:19:53	ga_ls7e_ard_3-0-0_111068_2013-01-24_final
2013-03-13 09:48:08	ga_ls7e_ard_3-0-0_095086_2013-03-13_final
2013-09-30 11:14:54	ga_ls7e_ard_3-1-0_110072_2013-09-30_final
2013-12-22 11:49:10	ga_ls7e_ard_3-0-0_115079_2013-12-22_final
2014-03-09 11:20:42	ga_ls7e_ard_3-0-0_110084_2014-03-09_final
2014-08-14 11:33:31	ga_ls7e_ard_3-0-0_112083_2014-08-14_final
2014-09-06 11:37:41	ga_ls7e_ard_3-0-0_113078_2014-09-06_final
2014-10-19 11:20:44	ga_ls7e_ard_3-0-0_110081_2014-10-19_final
2014-12-29 11:21:48	ga_ls7e_ard_3-0-0_111067_2014-12-29_final
2015-03-17 11:41:01	ga_ls7e_ard_3-0-0_113083_2015-03-17_final
2015-08-10 11:29:06	ga_ls7e_ard_3-1-0_111082_2015-08-10_final
2015-11-23 11:24:19	ga_ls7e_ard_3-0-0_110083_2015-11-23_final
2016-03-05 11:26:53	ga_ls7e_ard_3-0-0_111071_2016-03-05_final
2016-08-12 09:54:37	ga_ls7e_ard_3-0-0_095086_2016-08-12_final
2016-10-24 11:21:01	ga_ls7e_ard_3-0-0_110070_2016-10-24_final
2016-11-09 11:22:30	ga_ls7e_ard_3-0-0_110074_2016-11-09_final
2017-01-03 11:27:58	ga_ls7e_ard_3-0-0_111073_2017-01-03_final
2017-06-21 11:22:32	ga_ls7e_ard_3-0-0_110074_2017-06-21_final
2017-08-08 11:26:31	ga_ls7e_ard_3-0-0_110084_2017-08-08_final
2017-08-31 11:32:41	ga_ls7e_ard_3-0-0_111084_2017-08-31_final
2017-09-16 11:27:28	ga_ls7e_ard_3-0-0_111071_2017-09-16_final
2017-11-03 09:55:01	ga_ls7e_ard_3-0-0_095087_2017-11-03_final
2017-11-12 11:20:55	ga_ls7e_ard_3-0-0_110070_2017-11-12_final
2018-03-02 11:33:38	ga_ls7e_ard_3-1-0_112074_2018-03-02_final
2018-04-12 11:26:29	ga_ls7e_ard_3-0-0_111073_2018-04-12_final
2018-08-27 11:18:14	ga_ls7e_ard_3-0-0_110074_2018-08-27_final
2018-10-14 11:16:20	ga_ls7e_ard_3-1-0_110072_2018-10-14_final
2018-10-21 11:22:45	ga_ls7e_ard_3-0-0_111073_2018-10-21_final
2018-11-06 11:22:24	ga_ls7e_ard_3-0-0_111073_2018-11-06_final
2018-12-15 11:28:00	ga_ls7e_ard_3-0-0_112074_2018-12-15_final
2019-01-23 11:32:59	ga_ls7e_ard_3-0-0_113074_2019-01-23_final
2019-03-07 11:13:55	ga_ls7e_ard_3-1-0_110076_2019-03-07_final
2019-05-08 11:26:53	ga_ls7e_ard_3-0-0_112083_2019-05-08_final
2019-11-14 11:25:07	ga_ls7e_ard_3-1-0_114067_2019-11-14_final
2019-11-30 11:28:21	ga_ls7e_ard_3-1-0_114077_2019-11-30_final
2019-12-27 11:06:51	ga_ls7e_ard_3-1-0_111073_2019-12-27_final
2020-02-06 11:02:11	ga_ls7e_ard_3-1-0_110082_2020-02-06_final
2020-04-15 11:17:21	ga_ls7e_ard_3-1-0_113083_2020-04-15_final
2020-06-13 10:50:06	ga_ls7e_ard_3-1-0_110070_2020-06-13_final
2020-12-04 10:52:48	ga_ls7e_ard_3-1-0_112074_2020-12-04_final
2021-02-10 10:21:33	ga_ls7e_ard_3-2-0_108070_2021-02-10_final
2021-02-13 09:18:56	ga_ls7e_ard_3-2-0_097084_2021-02-12_final
2021-02-15 10:45:19	ga_ls7e_ard_3-2-0_111084_2021-02-15_final
2021-02-17 10:32:24	ga_ls7e_ard_3-2-0_109083_2021-02-17_final
2021-03-09 08:28:03	ga_ls7e_ard_3-2-0_089085_2021-03-08_final
2021-03-10 09:11:38	ga_ls7e_ard_3-2-0_096086_2021-03-09_final
2021-03-16 08:34:53	ga_ls7e_ard_3-2-0_090088_2021-03-15_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-04-09 10:56:03	ga_ls7e_ard_3-2-0_114075_2021-04-09_final
2021-04-14 09:36:53	ga_ls7e_ard_3-2-0_101079_2021-04-14_final
2021-04-29 10:29:14	ga_ls7e_ard_3-2-0_110074_2021-04-29_final
2021-05-17 08:41:41	ga_ls7e_ard_3-2-0_092087_2021-05-16_final
2021-06-28 10:50:33	ga_ls7e_ard_3-2-0_114078_2021-06-28_final
2021-08-08 10:41:14	ga_ls7e_ard_3-2-0_113079_2021-08-08_final
2021-08-29 09:21:04	ga_ls7e_ard_3-2-0_100084_2021-08-28_final
2021-09-27 10:21:17	ga_ls7e_ard_3-2-0_111071_2021-09-27_final
2021-10-11 08:57:08	ga_ls7e_ard_3-2-0_097080_2021-10-10_final
2021-10-21 09:30:07	ga_ls7e_ard_3-2-0_103072_2021-10-21_final
2021-11-09 10:00:02	ga_ls7e_ard_3-2-0_108074_2021-11-09_final
2021-11-22 09:25:28	ga_ls7e_ard_3-2-1_103068_2021-11-21_final
2021-12-13 09:45:14	ga_ls7e_ard_3-2-1_106076_2021-12-13_final
2022-01-10 08:27:31	ga_ls7e_ard_3-2-1_094074_2022-01-09_final
2022-01-14 08:08:01	ga_ls7e_ard_3-2-1_090088_2022-01-13_final
2022-01-28 09:55:30	ga_ls7e_ard_3-2-1_108082_2022-01-28_final
2022-01-29 08:58:35	ga_ls7e_ard_3-2-1_099079_2022-01-28_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