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
1999-09-17 11:09:21	ga_ls7e_ard_3-1-0_109081_1999-09-17_final
2000-12-24 11:06:58	ga_ls7e_ard_3-1-0_109081_2000-12-24_final
2001-08-13 10:13:34	ga_ls7e_ard_3-1-0_101075_2001-08-13_final
2002-06-29 10:13:07	ga_ls7e_ard_3-1-0_101075_2002-06-29_final
2003-05-05 11:18:02	ga_ls7e_ard_3-1-0_111082_2003-05-05_final
2003-08-13 09:12:29	ga_ls7e_ard_3-1-0_091078_2003-08-12_final
2004-05-13 10:40:35	ga_ls7e_ard_3-1-0_105080_2004-05-13_final
2004-07-10 11:18:16	ga_ls7e_ard_3-1-0_111082_2004-07-10_final
2005-08-18 09:14:35	ga_ls7e_ard_3-1-0_091081_2005-08-17_final
2006-05-08 11:00:48	ga_ls7e_ard_3-1-0_108082_2006-05-08_final
2006-10-02 09:49:46	ga_ls7e_ard_3-1-0_097076_2006-10-02_final
2006-12-23 09:39:24	ga_ls7e_ard_3-1-0_095079_2006-12-23_final
2007-08-17 10:46:24	ga_ls7e_ard_3-1-0_106077_2007-08-17_final
2007-09-23 09:28:13	ga_ls7e_ard_3-1-0_093083_2007-09-22_final
2007-10-23 11:19:09	ga_ls7e_ard_3-1-0_111082_2007-10-23_final
2009-09-25 10:31:22	ga_ls7e_ard_3-1-0_104070_2009-09-25_final
2010-01-12 11:43:28	ga_ls7e_ard_3-1-0_115077_2010-01-12_final
2010-09-28 10:33:30	ga_ls7e_ard_3-1-0_104070_2010-09-28_final
2011-05-11 09:42:47	ga_ls7e_ard_3-1-0_095079_2011-05-11_final
2011-12-12 09:49:57	ga_ls7e_ard_3-1-0_096081_2011-12-12_final
2012-04-11 09:43:14	ga_ls7e_ard_3-1-0_095079_2012-04-11_final
2013-05-15 10:37:06	ga_ls7e_ard_3-1-0_104070_2013-05-15_final
2013-06-29 11:47:33	ga_ls7e_ard_3-1-0_115077_2013-06-29_final
2014-02-24 11:48:43	ga_ls7e_ard_3-1-0_115077_2014-02-24_final
2014-08-22 10:38:51	ga_ls7e_ard_3-1-0_104070_2014-08-22_final
2014-09-18 10:22:23	ga_ls7e_ard_3-1-0_101075_2014-09-18_final
2014-09-24 11:27:02	ga_ls7e_ard_3-1-0_111082_2014-09-24_final
2014-10-28 11:14:38	ga_ls7e_ard_3-1-0_109081_2014-10-28_final
2014-11-05 10:22:54	ga_ls7e_ard_3-1-0_101075_2014-11-05_final
2015-01-02 09:25:47	ga_ls7e_ard_3-1-0_091086_2015-01-01_final
2015-01-09 09:30:01	ga_ls7e_ard_3-1-0_092081_2015-01-09_final
2016-05-14 10:53:48	ga_ls7e_ard_3-1-0_105080_2016-05-14_final
2016-08-21 09:47:15	ga_ls7e_ard_3-1-0_094083_2016-08-21_final
2017-02-22 09:40:27	ga_ls7e_ard_3-1-0_093083_2017-02-22_final
2017-08-17 11:19:07	ga_ls7e_ard_3-1-0_109081_2017-08-17_final
2018-01-24 11:18:21	ga_ls7e_ard_3-1-0_109081_2018-01-24_final
2019-02-20 10:17:58	ga_ls7e_ard_3-1-0_101074_2019-02-20_final
2019-02-21 11:04:23	ga_ls7e_ard_3-1-0_108082_2019-02-21_final
2019-02-23 10:49:58	ga_ls7e_ard_3-1-0_106077_2019-02-23_final
2019-03-02 09:22:14	ga_ls7e_ard_3-1-0_091090_2019-03-01_final
2019-03-03 10:01:53	ga_ls7e_ard_3-1-0_098081_2019-03-03_final
2019-03-05 09:49:51	ga_ls7e_ard_3-1-0_096082_2019-03-05_final
2019-03-08 10:17:28	ga_ls7e_ard_3-1-0_101074_2019-03-08_final
2019-03-21 11:25:25	ga_ls7e_ard_3-1-0_112075_2019-03-21_final
2019-03-22 10:28:10	ga_ls7e_ard_3-1-0_103071_2019-03-22_final
2019-03-22 10:30:10	ga_ls7e_ard_3-1-0_103076_2019-03-22_final
2019-03-26 10:07:18	ga_ls7e_ard_3-1-0_099081_2019-03-26_final
2019-03-29 10:33:43	ga_ls7e_ard_3-1-0_104070_2019-03-29_final
2019-03-30 11:21:43	ga_ls7e_ard_3-1-0_111082_2019-03-30_final
2019-06-30 11:41:04	ga_ls7e_ard_3-1-0_115077_2019-06-30_final
2019-07-16 11:40:26	ga_ls7e_ard_3-1-0_115077_2019-07-16_final
2019-09-06 11:15:09	ga_ls7e_ard_3-1-0_111081_2019-09-06_final
2019-09-14 10:20:35	ga_ls7e_ard_3-1-0_103069_2019-09-14_final
2019-09-30 10:20:17	ga_ls7e_ard_3-1-0_103070_2019-09-30_final
2019-10-10 11:00:09	ga_ls7e_ard_3-1-0_109078_2019-10-10_final
2019-10-21 09:04:15	ga_ls7e_ard_3-1-0_090083_2019-10-20_final
2019-10-23 10:28:17	ga_ls7e_ard_3-1-0_104077_2019-10-23_final
2019-10-26 11:00:39	ga_ls7e_ard_3-1-0_109081_2019-10-26_final
2019-10-30 10:34:34	ga_ls7e_ard_3-1-0_105078_2019-10-30_final
2019-11-16 09:38:10	ga_ls7e_ard_3-1-0_096078_2019-11-16_final
2019-11-29 09:07:03	ga_ls7e_ard_3-1-0_091079_2019-11-28_final
2019-12-02 11:16:41	ga_ls7e_ard_3-1-0_112079_2019-12-02_final
2019-12-04 09:24:33	ga_ls7e_ard_3-1-0_094077_2019-12-03_final
2019-12-25 09:41:14	ga_ls7e_ard_3-1-0_097075_2019-12-25_final
2019-12-25 09:42:01	ga_ls7e_ard_3-1-0_097077_2019-12-25_final
2020-01-02 10:29:27	ga_ls7e_ard_3-1-0_105073_2020-01-02_final
2020-01-04 10:17:47	ga_ls7e_ard_3-1-0_103075_2020-01-04_final
2020-01-17 09:45:26	ga_ls7e_ard_3-1-0_098073_2020-01-17_final
2020-01-23 09:11:39	ga_ls7e_ard_3-1-0_092082_2020-01-22_final
2020-01-25 10:37:16	ga_ls7e_ard_3-1-0_106080_2020-01-25_final
2020-02-22 09:20:53	ga_ls7e_ard_3-1-0_094078_2020-02-21_final
2020-02-28 10:21:34	ga_ls7e_ard_3-1-0_104076_2020-02-28_final
2020-03-11 09:09:33	ga_ls7e_ard_3-1-0_092083_2020-03-10_final
2020-03-26 10:00:45	ga_ls7e_ard_3-1-0_101074_2020-03-26_final
2020-04-01 09:24:08	ga_ls7e_ard_3-1-0_095076_2020-03-31_final
2020-04-01 11:03:24	ga_ls7e_ard_3-1-0_111077_2020-04-01_final
2020-04-19 10:47:13	ga_ls7e_ard_3-1-0_109070_2020-04-19_final
2021-01-21 09:12:03	ga_ls7e_ard_3-2-0_096078_2021-01-20_final
2021-04-06 08:49:19	ga_ls7e_ard_3-2-0_093082_2021-04-05_final
2021-04-14 09:35:42	ga_ls7e_ard_3-2-0_101076_2021-04-14_final
2021-05-03 08:28:30	ga_ls7e_ard_3-2-0_090082_2021-05-02_final
2021-05-31 08:48:03	ga_ls7e_ard_3-2-0_094075_2021-05-30_final
2021-06-15 09:41:39	ga_ls7e_ard_3-2-0_103073_2021-06-15_final
2021-06-17 09:29:32	ga_ls7e_ard_3-2-0_101074_2021-06-16_final
2021-07-04 08:34:30	ga_ls7e_ard_3-2-0_092079_2021-07-03_final
2021-07-15 09:50:42	ga_ls7e_ard_3-2-0_105071_2021-07-15_final
2021-07-23 09:04:34	ga_ls7e_ard_3-2-0_097081_2021-07-22_final
2021-07-25 08:49:14	ga_ls7e_ard_3-2-0_095074_2021-07-24_final
2021-07-28 09:22:40	ga_ls7e_ard_3-2-0_100081_2021-07-27_final
2021-07-30 09:07:44	ga_ls7e_ard_3-2-0_098075_2021-07-29_final
2021-08-03 10:23:32	ga_ls7e_ard_3-2-0_110080_2021-08-03_final
2021-09-10 09:41:56	ga_ls7e_ard_3-2-0_104077_2021-09-10_final
2021-10-11 08:57:31	ga_ls7e_ard_3-2-0_097081_2021-10-10_final
2021-10-20 10:27:25	ga_ls7e_ard_3-2-0_112076_2021-10-20_final
2021-11-21 08:48:18	ga_ls7e_ard_3-2-1_096083_2021-11-20_final
2021-11-28 10:30:18	ga_ls7e_ard_3-2-1_113077_2021-11-28_final
2021-12-16 10:16:14	ga_ls7e_ard_3-2-1_111077_2021-12-16_final
2021-12-18 08:24:25	ga_ls7e_ard_3-2-1_093076_2021-12-17_final
2022-03-21 09:23:14	ga_ls7e_ard_3-2-1_104076_2022-03-20_final
2022-03-29 08:31:27	ga_ls7e_ard_3-2-1_096072_2022-03-28_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