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
1999-08-07 11:12:49	ga_ls7e_ard_3-0-0_110074_1999-08-07_final
1999-09-15 09:37:14	ga_ls7e_ard_3-0-0_095067_1999-09-15_final
1999-10-08 11:28:30	ga_ls7e_ard_3-0-0_112082_1999-10-08_final
2000-01-21 11:16:29	ga_ls7e_ard_3-0-0_111068_2000-01-21_final
2001-09-13 11:06:52	ga_ls7e_ard_3-0-0_110070_2001-09-13_final
2001-11-07 09:32:49	ga_ls7e_ard_3-0-0_095067_2001-11-07_final
2002-11-22 11:40:32	ga_ls7e_ard_3-0-0_115078_2002-11-22_final
2003-07-24 11:13:24	ga_ls7e_ard_3-0-0_111071_2003-07-24_final
2003-12-04 11:30:30	ga_ls7e_ard_3-0-0_114067_2003-12-04_final
2004-01-25 11:06:09	ga_ls7e_ard_3-0-0_110067_2004-01-25_final
2004-10-14 09:35:23	ga_ls7e_ard_3-1-0_095073_2004-10-14_final
2004-10-14 11:18:40	ga_ls7e_ard_3-0-0_111084_2004-10-14_final
2004-11-15 11:14:13	ga_ls7e_ard_3-0-0_111072_2004-11-15_final
2004-11-24 11:12:08	ga_ls7e_ard_3-0-0_110082_2004-11-24_final
2005-01-02 11:12:39	ga_ls7e_ard_3-0-0_111067_2005-01-02_final
2005-03-06 08:56:49	ga_ls7e_ard_3-0-0_088082_2005-03-05_final
2005-03-19 11:40:54	ga_ls7e_ard_3-0-0_115075_2005-03-19_final
2005-06-27 11:14:41	ga_ls7e_ard_3-0-0_111072_2005-06-27_final
2005-09-04 11:33:48	ga_ls7e_ard_3-0-0_114074_2005-09-04_final
2006-02-22 09:39:41	ga_ls7e_ard_3-0-0_095080_2006-02-22_final
2006-08-10 11:12:47	ga_ls7e_ard_3-0-0_110082_2006-08-10_final
2007-01-22 11:25:55	ga_ls7e_ard_3-0-0_113067_2007-01-22_final
2007-01-24 09:34:41	ga_ls7e_ard_3-0-0_095067_2007-01-24_final
2007-06-01 11:15:32	ga_ls7e_ard_3-0-0_111072_2007-06-01_final
2007-08-06 11:03:49	ga_ls7e_ard_3-0-0_109074_2007-08-06_final
2007-09-05 11:15:34	ga_ls7e_ard_3-0-0_111073_2007-09-05_final
2007-11-17 11:09:38	ga_ls7e_ard_3-0-0_110073_2007-11-17_final
2007-11-24 11:15:28	ga_ls7e_ard_3-0-0_111072_2007-11-24_final
2007-12-10 09:42:40	ga_ls7e_ard_3-0-0_095087_2007-12-10_final
2008-02-28 09:37:49	ga_ls7e_ard_3-0-0_095075_2008-02-28_final
2008-09-09 11:02:41	ga_ls7e_ard_3-0-0_109074_2008-09-09_final
2008-11-26 11:15:22	ga_ls7e_ard_3-0-0_111074_2008-11-26_final
2009-08-30 11:32:00	ga_ls7e_ard_3-0-0_114067_2009-08-30_final
2010-06-07 11:27:47	ga_ls7e_ard_3-0-0_113067_2010-06-07_final
2010-07-20 11:10:32	ga_ls7e_ard_3-0-0_110070_2010-07-20_final
2010-10-31 09:36:56	ga_ls7e_ard_3-0-0_095067_2010-10-31_final
2010-11-16 11:18:25	ga_ls7e_ard_3-0-0_111073_2010-11-16_final
2010-12-23 11:40:30	ga_ls7e_ard_3-0-0_114081_2010-12-23_final
2011-08-31 11:18:15	ga_ls7e_ard_3-0-0_111071_2011-08-31_final
2011-12-10 11:40:48	ga_ls7e_ard_3-0-0_114080_2011-12-10_final
2012-07-09 11:17:24	ga_ls7e_ard_3-0-0_110081_2012-07-09_final
2012-08-26 11:13:32	ga_ls7e_ard_3-0-0_110070_2012-08-26_final
2013-02-18 11:17:17	ga_ls7e_ard_3-0-0_110077_2013-02-18_final
2013-04-14 11:21:17	ga_ls7e_ard_3-0-0_111072_2013-04-14_final
2013-11-08 11:21:02	ga_ls7e_ard_3-0-0_111071_2013-11-08_final
2014-11-16 11:43:16	ga_ls7e_ard_3-0-0_114075_2014-11-16_final
2014-12-25 11:51:20	ga_ls7e_ard_3-0-0_115079_2014-12-25_final
2015-04-29 11:19:12	ga_ls7e_ard_3-0-0_110074_2015-04-29_final
2015-05-22 11:24:21	ga_ls7e_ard_3-0-0_111071_2015-05-22_final
2015-07-21 11:52:33	ga_ls7e_ard_3-0-0_115079_2015-07-21_final
2015-09-13 11:17:38	ga_ls7e_ard_3-0-0_109084_2015-09-13_final
2015-10-06 11:18:19	ga_ls7e_ard_3-0-0_110070_2015-10-06_final
2015-11-26 11:53:40	ga_ls7e_ard_3-0-0_115079_2015-11-26_final
2016-02-02 11:29:06	ga_ls7e_ard_3-0-0_111077_2016-02-02_final
2016-03-05 11:26:53	ga_ls7e_ard_3-0-0_111071_2016-03-05_final
2016-08-05 11:26:31	ga_ls7e_ard_3-0-0_110084_2016-08-05_final
2016-08-19 11:34:54	ga_ls7e_ard_3-0-0_112074_2016-08-19_final
2016-10-08 11:21:04	ga_ls7e_ard_3-0-0_110070_2016-10-08_final
2017-06-10 11:38:15	ga_ls7e_ard_3-0-0_113067_2017-06-10_final
2017-11-28 11:20:50	ga_ls7e_ard_3-0-0_110070_2017-11-28_final
2018-05-07 11:18:39	ga_ls7e_ard_3-0-0_110070_2018-05-07_final
2018-07-10 11:19:31	ga_ls7e_ard_3-0-0_110075_2018-07-10_final
2018-08-02 09:43:13	ga_ls7e_ard_3-0-0_095067_2018-08-02_final
2018-10-05 09:47:03	ga_ls7e_ard_3-0-0_095080_2018-10-05_final
2019-01-30 11:38:55	ga_ls7e_ard_3-0-0_114074_2019-01-30_final
2019-03-28 11:28:10	ga_ls7e_ard_3-1-0_113067_2019-03-28_final
2019-03-28 11:30:58	ga_ls7e_ard_3-1-0_113074_2019-03-28_final
2019-03-30 11:18:32	ga_ls7e_ard_3-0-0_111074_2019-03-30_final
2019-06-18 11:15:36	ga_ls7e_ard_3-0-0_111074_2019-06-18_final
2019-09-06 11:11:10	ga_ls7e_ard_3-1-0_111071_2019-09-06_final
2019-10-29 11:29:50	ga_ls7e_ard_3-1-0_114077_2019-10-29_final
2019-11-16 11:15:27	ga_ls7e_ard_3-1-0_112074_2019-11-16_final
2019-12-13 10:56:48	ga_ls7e_ard_3-1-0_109077_2019-12-13_final
2020-02-11 11:20:04	ga_ls7e_ard_3-1-0_113081_2020-02-11_final
2020-03-16 09:23:25	ga_ls7e_ard_3-1-0_095072_2020-03-15_final
2020-04-01 09:28:07	ga_ls7e_ard_3-1-0_095086_2020-03-31_final
2020-08-07 10:57:44	ga_ls7e_ard_3-1-0_111082_2020-08-07_final
2020-09-01 10:47:09	ga_ls7e_ard_3-1-0_110075_2020-09-01_final
2020-09-10 10:39:58	ga_ls7e_ard_3-1-0_109074_2020-09-10_final
2020-10-12 10:38:42	ga_ls7e_ard_3-1-0_109076_2020-10-12_final
2021-02-08 08:56:23	ga_ls7e_ard_3-2-0_094073_2021-02-07_final
2021-04-09 10:58:03	ga_ls7e_ard_3-2-0_114080_2021-04-09_final
2021-04-20 10:36:11	ga_ls7e_ard_3-2-0_111074_2021-04-20_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-06 08:21:58	ga_ls7e_ard_3-2-0_090079_2021-07-05_final
2021-07-21 09:11:55	ga_ls7e_ard_3-2-0_099068_2021-07-20_final
2021-07-27 10:16:47	ga_ls7e_ard_3-2-0_109077_2021-07-27_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-09-07 09:08:55	ga_ls7e_ard_3-2-0_099071_2021-09-06_final
2021-09-26 09:42:06	ga_ls7e_ard_3-2-0_104081_2021-09-26_final
2021-10-03 09:44:52	ga_ls7e_ard_3-2-0_105074_2021-10-03_final
2021-10-04 10:28:03	ga_ls7e_ard_3-2-0_112074_2021-10-04_final
2021-10-30 09:23:30	ga_ls7e_ard_3-2-0_102073_2021-10-29_final
2021-11-03 08:56:49	ga_ls7e_ard_3-2-0_098069_2021-11-02_final
2021-11-18 08:15:18	ga_ls7e_ard_3-2-1_091077_2021-11-17_final
2021-12-29 08:09:34	ga_ls7e_ard_3-2-1_090088_2021-12-28_final
2022-01-06 08:54:12	ga_ls7e_ard_3-2-1_098078_2022-01-05_final
2022-01-10 10:05:36	ga_ls7e_ard_3-2-1_110072_2022-01-10_final
2022-01-29 08:58:11	ga_ls7e_ard_3-2-1_099078_2022-01-28_final
2022-03-17 08:13:50	ga_ls7e_ard_3-2-1_092087_2022-03-16_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