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
1999-10-30 10:48:28	ga_ls7e_ard_3-1-0_106075_1999-10-30_final
2000-05-09 10:47:43	ga_ls7e_ard_3-1-0_106075_2000-05-09_final
2000-09-16 10:31:48	ga_ls7e_ard_3-1-0_104070_2000-09-16_final
2001-09-10 09:01:30	ga_ls7e_ard_3-1-0_089081_2001-09-09_final
2002-01-23 09:09:33	ga_ls7e_ard_3-1-0_090085_2002-01-22_final
2002-03-17 11:05:20	ga_ls7e_ard_3-1-0_109081_2002-03-17_final
2004-08-31 09:08:50	ga_ls7e_ard_3-1-0_091068_2004-08-30_final
2005-12-24 09:14:56	ga_ls7e_ard_3-1-0_091081_2005-12-23_final
2006-07-22 10:41:07	ga_ls7e_ard_3-1-0_105080_2006-07-22_final
2006-08-28 11:00:22	ga_ls7e_ard_3-1-0_108082_2006-08-28_final
2007-06-27 10:14:56	ga_ls7e_ard_3-1-0_101075_2007-06-27_final
2008-09-25 11:05:20	ga_ls7e_ard_3-1-0_109081_2008-09-25_final
2008-10-24 10:30:03	ga_ls7e_ard_3-1-0_104070_2008-10-24_final
2008-11-28 11:05:50	ga_ls7e_ard_3-1-0_109081_2008-11-28_final
2009-01-13 09:38:53	ga_ls7e_ard_3-1-0_095079_2009-01-13_final
2009-02-25 10:57:57	ga_ls7e_ard_3-1-0_108075_2009-02-25_final
2009-04-14 10:56:41	ga_ls7e_ard_3-1-0_108071_2009-04-14_final
2010-04-21 10:33:26	ga_ls7e_ard_3-1-0_104070_2010-04-21_final
2010-06-15 10:43:32	ga_ls7e_ard_3-1-0_105080_2010-06-15_final
2012-11-20 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-11-20_final
2013-03-02 10:04:17	ga_ls7e_ard_3-1-0_098080_2013-03-02_final
2013-12-10 11:25:38	ga_ls7e_ard_3-1-0_111082_2013-12-10_final
2014-01-11 09:45:40	ga_ls7e_ard_3-1-0_095079_2014-01-11_final
2014-01-27 11:26:05	ga_ls7e_ard_3-1-0_111082_2014-01-27_final
2014-03-22 10:48:19	ga_ls7e_ard_3-1-0_105080_2014-03-22_final
2014-04-27 10:21:53	ga_ls7e_ard_3-1-0_101075_2014-04-27_final
2014-12-03 10:49:47	ga_ls7e_ard_3-1-0_105080_2014-12-03_final
2015-03-14 09:29:59	ga_ls7e_ard_3-1-0_092080_2015-03-13_final
2015-06-06 10:40:47	ga_ls7e_ard_3-1-0_104070_2015-06-06_final
2015-11-07 09:38:47	ga_ls7e_ard_3-1-0_094067_2015-11-07_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
2016-03-01 11:53:57	ga_ls7e_ard_3-1-0_115077_2016-03-01_final
2016-12-16 10:02:48	ga_ls7e_ard_3-1-0_097076_2016-12-16_final
2017-03-08 11:31:24	ga_ls7e_ard_3-1-0_111082_2017-03-08_final
2017-11-02 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-11-02_final
2018-03-11 09:50:27	ga_ls7e_ard_3-1-0_095079_2018-03-11_final
2018-08-02 09:48:01	ga_ls7e_ard_3-1-0_095079_2018-08-02_final
2018-08-11 09:36:53	ga_ls7e_ard_3-1-0_094067_2018-08-11_final
2018-12-01 09:34:20	ga_ls7e_ard_3-1-0_094067_2018-12-01_final
2019-02-19 09:35:08	ga_ls7e_ard_3-1-0_094075_2019-02-19_final
2019-02-19 11:16:01	ga_ls7e_ard_3-1-0_110080_2019-02-19_final
2019-03-06 10:31:05	ga_ls7e_ard_3-1-0_103077_2019-03-06_final
2019-03-11 10:50:16	ga_ls7e_ard_3-1-0_106079_2019-03-11_final
2019-03-22 10:28:58	ga_ls7e_ard_3-1-0_103073_2019-03-22_final
2019-04-09 10:16:47	ga_ls7e_ard_3-1-0_101075_2019-04-09_final
2019-06-12 10:14:25	ga_ls7e_ard_3-1-0_101075_2019-06-12_final
2019-08-23 11:02:36	ga_ls7e_ard_3-1-0_109079_2019-08-23_final
2019-09-04 09:44:44	ga_ls7e_ard_3-1-0_097071_2019-09-04_final
2019-09-22 09:33:10	ga_ls7e_ard_3-1-0_095075_2019-09-22_final
2019-09-26 09:11:28	ga_ls7e_ard_3-1-0_091083_2019-09-25_final
2019-10-10 11:01:20	ga_ls7e_ard_3-1-0_109081_2019-10-10_final
2019-10-18 10:08:46	ga_ls7e_ard_3-1-0_101074_2019-10-18_final
2019-10-26 10:59:04	ga_ls7e_ard_3-1-0_109077_2019-10-26_final
2019-11-11 09:18:16	ga_ls7e_ard_3-1-0_093074_2019-11-10_final
2019-11-15 10:31:03	ga_ls7e_ard_3-1-0_105071_2019-11-15_final
2019-11-16 09:35:46	ga_ls7e_ard_3-1-0_096072_2019-11-16_final
2019-11-21 09:55:41	ga_ls7e_ard_3-1-0_099076_2019-11-21_final
2019-11-22 09:01:36	ga_ls7e_ard_3-1-0_090080_2019-11-21_final
2019-11-22 09:02:00	ga_ls7e_ard_3-1-0_090081_2019-11-21_final
2019-12-04 09:26:56	ga_ls7e_ard_3-1-0_094083_2019-12-03_final
2019-12-04 11:06:13	ga_ls7e_ard_3-1-0_110084_2019-12-04_final
2019-12-20 11:03:01	ga_ls7e_ard_3-1-0_110078_2019-12-20_final
2019-12-31 10:44:19	ga_ls7e_ard_3-1-0_107079_2019-12-31_final
2020-01-14 09:18:16	ga_ls7e_ard_3-1-0_093082_2020-01-13_final
2020-02-16 09:58:40	ga_ls7e_ard_3-1-0_100079_2020-02-16_final
2020-03-17 10:08:37	ga_ls7e_ard_3-1-0_102077_2020-03-17_final
2020-03-25 10:58:49	ga_ls7e_ard_3-1-0_110080_2020-03-25_final
2020-04-12 09:05:21	ga_ls7e_ard_3-1-0_092077_2020-04-11_final
2020-04-14 10:32:57	ga_ls7e_ard_3-1-0_106080_2020-04-14_final
2021-04-01 10:08:28	ga_ls7e_ard_3-2-0_106078_2021-04-01_final
2021-04-18 10:50:43	ga_ls7e_ard_3-2-0_113079_2021-04-18_final
2021-04-25 10:56:18	ga_ls7e_ard_3-2-0_114079_2021-04-25_final
2021-05-08 08:43:50	ga_ls7e_ard_3-2-0_093075_2021-05-07_final
2021-06-07 10:33:44	ga_ls7e_ard_3-2-0_111078_2021-06-07_final
2021-06-23 08:52:21	ga_ls7e_ard_3-2-0_095075_2021-06-22_final
2021-07-05 09:16:04	ga_ls7e_ard_3-2-0_099075_2021-07-04_final
2021-07-13 08:26:45	ga_ls7e_ard_3-2-0_091077_2021-07-12_final
2021-07-15 09:53:54	ga_ls7e_ard_3-2-0_105079_2021-07-15_final
2021-07-16 08:57:47	ga_ls7e_ard_3-2-0_096078_2021-07-15_final
2021-07-16 10:37:28	ga_ls7e_ard_3-2-0_112080_2021-07-16_final
2021-08-01 08:54:00	ga_ls7e_ard_3-2-0_096072_2021-07-31_final
2021-08-12 08:36:05	ga_ls7e_ard_3-2-0_093076_2021-08-11_final
2021-08-12 10:13:22	ga_ls7e_ard_3-2-0_109072_2021-08-12_final
2021-08-19 10:21:43	ga_ls7e_ard_3-2-0_110079_2021-08-19_final
2021-08-24 10:39:50	ga_ls7e_ard_3-2-0_113079_2021-08-24_final
2021-09-29 10:08:20	ga_ls7e_ard_3-2-0_109070_2021-09-29_final
2021-10-02 10:37:47	ga_ls7e_ard_3-2-0_114067_2021-10-02_final
2021-10-20 10:28:37	ga_ls7e_ard_3-2-0_112079_2021-10-20_final
2021-11-02 09:55:19	ga_ls7e_ard_3-2-0_107076_2021-11-02_final
2021-11-04 09:44:22	ga_ls7e_ard_3-2-0_105080_2021-11-04_final
2021-11-05 08:49:51	ga_ls7e_ard_3-2-0_096083_2021-11-04_final
2021-11-05 10:26:20	ga_ls7e_ard_3-2-0_112077_2021-11-05_final
2021-11-22 09:28:40	ga_ls7e_ard_3-2-1_103076_2021-11-21_final
2021-11-26 09:02:22	ga_ls7e_ard_3-2-1_099073_2021-11-25_final
2021-11-27 09:47:08	ga_ls7e_ard_3-2-1_106077_2021-11-27_final
2021-11-29 09:34:59	ga_ls7e_ard_3-2-1_104078_2021-11-29_final
2021-12-04 08:14:11	ga_ls7e_ard_3-2-1_091078_2021-12-03_final
2022-03-29 08:33:26	ga_ls7e_ard_3-2-1_096077_2022-03-28_final
2022-03-30 09:15:00	ga_ls7e_ard_3-2-1_103073_2022-03-29_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years