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
1999-08-30 11:18:14	ga_ls7e_ard_3-0-0_111072_1999-08-30_final
2000-06-20 11:21:18	ga_ls7e_ard_3-0-0_112067_2000-06-20_final
2001-12-09 11:13:53	ga_ls7e_ard_3-0-0_111072_2001-12-09_final
2002-03-15 11:14:57	ga_ls7e_ard_3-0-0_111074_2002-03-15_final
2002-06-03 11:15:06	ga_ls7e_ard_3-0-0_111075_2002-06-03_final
2002-08-13 11:20:26	ga_ls7e_ard_3-0-0_112074_2002-08-13_final
2002-12-10 11:29:53	ga_ls7e_ard_3-0-0_113082_2002-12-10_final
2003-01-29 11:15:23	ga_ls7e_ard_3-0-0_111076_2003-01-29_final
2003-02-26 11:40:39	ga_ls7e_ard_3-0-0_115077_2003-02-26_final
2004-07-15 11:35:59	ga_ls7e_ard_3-0-0_114080_2004-07-15_final
2004-07-24 11:27:46	ga_ls7e_ard_3-0-0_113075_2004-07-24_final
2004-10-12 11:29:23	ga_ls7e_ard_3-0-0_113080_2004-10-12_final
2004-11-15 11:12:38	ga_ls7e_ard_3-0-0_111068_2004-11-15_final
2004-11-15 11:19:01	ga_ls7e_ard_3-0-0_111084_2004-11-15_final
2006-05-13 11:19:21	ga_ls7e_ard_3-1-0_111082_2006-05-13_final
2006-08-13 11:40:53	ga_ls7e_ard_3-0-0_115075_2006-08-13_final
2006-12-23 11:13:29	ga_ls7e_ard_3-0-0_111067_2006-12-23_final
2007-02-05 11:41:10	ga_ls7e_ard_3-0-0_115074_2007-02-05_final
2007-04-28 11:29:43	ga_ls7e_ard_3-0-0_113076_2007-04-28_final
2007-04-30 11:13:45	ga_ls7e_ard_3-0-0_111067_2007-04-30_final
2007-07-08 11:37:15	ga_ls7e_ard_3-0-0_114080_2007-07-08_final
2007-08-02 11:28:34	ga_ls7e_ard_3-0-0_113074_2007-08-02_final
2007-09-12 11:26:05	ga_ls7e_ard_3-1-0_112084_2007-09-12_final
2007-11-08 11:16:08	ga_ls7e_ard_3-0-0_111074_2007-11-08_final
2007-11-29 11:32:03	ga_ls7e_ard_3-0-0_114067_2007-11-29_final
2007-12-24 11:32:46	ga_ls7e_ard_3-0-0_113084_2007-12-24_final
2008-01-25 11:26:00	ga_ls7e_ard_3-0-0_113067_2008-01-25_final
2008-11-10 11:13:58	ga_ls7e_ard_3-0-0_111071_2008-11-10_final
2008-11-10 11:15:10	ga_ls7e_ard_3-0-0_111074_2008-11-10_final
2009-03-18 11:15:04	ga_ls7e_ard_3-0-0_111071_2009-03-18_final
2009-05-21 11:13:44	ga_ls7e_ard_3-0-0_111067_2009-05-21_final
2009-08-23 11:31:01	ga_ls7e_ard_3-0-0_113080_2009-08-23_final
2009-09-22 11:41:21	ga_ls7e_ard_3-0-0_115075_2009-09-22_final
2009-10-28 11:16:02	ga_ls7e_ard_3-0-0_111073_2009-10-28_final
2010-07-25 11:34:40	ga_ls7e_ard_3-0-0_113084_2010-07-25_final
2011-05-27 11:19:17	ga_ls7e_ard_3-0-0_111073_2011-05-27_final
2011-11-19 11:23:18	ga_ls7e_ard_3-0-0_111083_2011-11-19_final
2011-12-10 11:38:24	ga_ls7e_ard_3-0-0_114074_2011-12-10_final
2012-05-25 11:45:23	ga_ls7e_ard_3-0-0_115074_2012-05-25_final
2012-08-17 11:25:14	ga_ls7e_ard_3-0-0_111084_2012-08-17_final
2013-03-11 11:34:35	ga_ls7e_ard_3-0-0_113074_2013-03-11_final
2013-03-20 11:31:57	ga_ls7e_ard_3-0-0_112083_2013-03-20_final
2013-09-05 11:20:25	ga_ls7e_ard_3-0-0_111071_2013-09-05_final
2013-10-23 11:21:21	ga_ls7e_ard_3-0-0_111072_2013-10-23_final
2013-12-01 11:32:10	ga_ls7e_ard_3-0-0_112083_2013-12-01_final
2014-02-01 11:43:53	ga_ls7e_ard_3-0-0_114080_2014-02-01_final
2014-02-12 11:20:31	ga_ls7e_ard_3-0-0_111068_2014-02-12_final
2014-10-06 11:49:32	ga_ls7e_ard_3-0-0_115076_2014-10-06_final
2015-03-17 11:37:26	ga_ls7e_ard_3-0-0_113074_2015-03-17_final
2015-05-13 11:35:41	ga_ls7e_ard_3-0-0_112084_2015-05-13_final
2015-09-18 11:32:13	ga_ls7e_ard_3-0-0_112074_2015-09-18_final
2016-01-01 11:25:06	ga_ls7e_ard_3-0-0_111068_2016-01-01_final
2016-04-22 11:26:01	ga_ls7e_ard_3-0-0_111068_2016-04-22_final
2016-05-15 11:34:40	ga_ls7e_ard_3-0-0_112074_2016-05-15_final
2016-08-24 11:54:40	ga_ls7e_ard_3-0-0_115077_2016-08-24_final
2016-10-31 11:29:33	ga_ls7e_ard_3-0-0_111076_2016-10-31_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2016-12-02 11:28:11	ga_ls7e_ard_3-0-0_111073_2016-12-02_final
2017-04-16 11:31:49	ga_ls7e_ard_3-0-0_112067_2017-04-16_final
2017-07-23 11:25:45	ga_ls7e_ard_3-0-0_110082_2017-07-23_final
2017-08-13 11:38:15	ga_ls7e_ard_3-0-0_113067_2017-08-13_final
2017-09-09 11:26:06	ga_ls7e_ard_3-0-0_110083_2017-09-09_final
2017-09-23 11:38:26	ga_ls7e_ard_3-0-0_112083_2017-09-23_final
2018-03-20 11:24:14	ga_ls7e_ard_3-0-0_110082_2018-03-20_final
2018-06-15 11:23:24	ga_ls7e_ard_3-0-0_111068_2018-06-15_final
2018-06-20 11:45:26	ga_ls7e_ard_3-0-0_114077_2018-06-20_final
2018-07-22 11:46:02	ga_ls7e_ard_3-0-0_114080_2018-07-22_final
2018-08-18 11:25:00	ga_ls7e_ard_3-0-0_111075_2018-08-18_final
2018-12-22 11:37:34	ga_ls7e_ard_3-0-0_113083_2018-12-22_final
2019-12-07 11:34:59	ga_ls7e_ard_3-1-0_115079_2019-12-07_final
2019-12-27 11:04:51	ga_ls7e_ard_3-1-0_111068_2019-12-27_final
2020-12-02 09:29:13	ga_ls7e_ard_3-1-0_098081_2020-12-01_final
2020-12-22 10:37:29	ga_ls7e_ard_3-1-0_110070_2020-12-22_final
2021-02-16 09:43:14	ga_ls7e_ard_3-2-0_102068_2021-02-16_final
2021-02-24 10:33:39	ga_ls7e_ard_3-2-0_110072_2021-02-24_final
2021-03-17 10:54:56	ga_ls7e_ard_3-2-0_113083_2021-03-17_final
2021-03-19 09:04:44	ga_ls7e_ard_3-2-0_095086_2021-03-18_final
2021-04-15 10:21:40	ga_ls7e_ard_3-2-0_108083_2021-04-15_final
2021-04-15 10:22:04	ga_ls7e_ard_3-2-0_108084_2021-04-15_final
2021-04-20 10:34:59	ga_ls7e_ard_3-2-0_111071_2021-04-20_final
2021-04-22 10:24:27	ga_ls7e_ard_3-2-0_109076_2021-04-22_final
2021-05-18 09:23:16	ga_ls7e_ard_3-2-0_099083_2021-05-17_final
2021-06-07 08:57:39	ga_ls7e_ard_3-2-0_095085_2021-06-06_final
2021-06-19 09:21:00	ga_ls7e_ard_3-2-0_099084_2021-06-18_final
2021-06-20 09:59:23	ga_ls7e_ard_3-2-0_106072_2021-06-20_final
2021-08-12 10:13:46	ga_ls7e_ard_3-2-0_109073_2021-08-12_final
2021-08-17 10:32:15	ga_ls7e_ard_3-2-0_112074_2021-08-17_final
2021-09-25 08:56:08	ga_ls7e_ard_3-2-0_097074_2021-09-24_final
2021-09-28 09:25:10	ga_ls7e_ard_3-2-0_102070_2021-09-27_final
2021-10-09 09:09:16	ga_ls7e_ard_3-2-0_099079_2021-10-08_final
2021-10-09 10:46:57	ga_ls7e_ard_3-2-0_115076_2021-10-09_final
2021-10-14 09:24:10	ga_ls7e_ard_3-2-0_102071_2021-10-13_final
2021-10-24 10:03:56	ga_ls7e_ard_3-2-0_108080_2021-10-24_final
2021-10-25 09:07:26	ga_ls7e_ard_3-2-0_099078_2021-10-24_final
2021-11-04 09:39:59	ga_ls7e_ard_3-2-0_105069_2021-11-04_final
2021-11-11 08:13:24	ga_ls7e_ard_3-2-0_090086_2021-11-10_final
2021-11-18 08:16:54	ga_ls7e_ard_3-2-1_091081_2021-11-17_final
2021-12-06 09:41:19	ga_ls7e_ard_3-2-1_105080_2021-12-06_final
2022-01-18 09:17:48	ga_ls7e_ard_3-2-1_102078_2022-01-17_final
2022-01-20 09:06:27	ga_ls7e_ard_3-2-1_100081_2022-01-19_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