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
1999-12-03 10:34:03	ga_ls7e_ard_3-1-0_104070_1999-12-03_final
2000-04-03 09:30:43	ga_ls7e_ard_3-1-0_094067_2000-04-03_final
2000-04-03 09:37:06	ga_ls7e_ard_3-1-0_094083_2000-04-03_final
2000-10-03 11:19:42	ga_ls7e_ard_3-1-0_111082_2000-10-03_final
2001-03-22 10:14:52	ga_ls7e_ard_3-1-0_101075_2001-03-22_final
2001-08-02 10:30:21	ga_ls7e_ard_3-1-0_104070_2001-08-02_final
2001-10-19 10:44:40	ga_ls7e_ard_3-1-0_106077_2001-10-19_final
2001-10-24 09:26:43	ga_ls7e_ard_3-1-0_093083_2001-10-23_final
2001-10-28 09:01:13	ga_ls7e_ard_3-1-0_089081_2001-10-27_final
2002-10-01 10:27:33	ga_ls7e_ard_3-1-0_103082_2002-10-01_final
2002-10-06 10:45:41	ga_ls7e_ard_3-1-0_106081_2002-10-06_final
2002-12-14 09:26:41	ga_ls7e_ard_3-1-0_093083_2002-12-13_final
2004-04-19 09:49:29	ga_ls7e_ard_3-1-0_097076_2004-04-19_final
2004-12-31 09:49:42	ga_ls7e_ard_3-1-0_097076_2004-12-31_final
2005-05-20 10:13:05	ga_ls7e_ard_3-1-0_101072_2005-05-20_final
2005-08-13 10:30:34	ga_ls7e_ard_3-1-0_104070_2005-08-13_final
2005-09-13 09:49:25	ga_ls7e_ard_3-1-0_097076_2005-09-13_final
2006-04-25 09:50:23	ga_ls7e_ard_3-1-0_097076_2006-04-25_final
2007-01-16 10:30:03	ga_ls7e_ard_3-1-0_103082_2007-01-16_final
2007-08-06 11:06:37	ga_ls7e_ard_3-1-0_109081_2007-08-06_final
2007-09-23 11:06:18	ga_ls7e_ard_3-1-0_109081_2007-09-23_final
2008-04-25 09:34:42	ga_ls7e_ard_3-1-0_094083_2008-04-25_final
2008-09-26 10:09:42	ga_ls7e_ard_3-1-0_100081_2008-09-26_final
2008-10-23 09:49:10	ga_ls7e_ard_3-1-0_097076_2008-10-23_final
2009-05-11 09:03:21	ga_ls7e_ard_3-1-0_089081_2009-05-10_final
2009-06-08 11:06:57	ga_ls7e_ard_3-1-0_109081_2009-06-08_final
2010-04-08 11:08:44	ga_ls7e_ard_3-1-0_109081_2010-04-08_final
2010-09-27 11:33:07	ga_ls7e_ard_3-1-0_113080_2010-09-27_final
2011-03-15 11:27:01	ga_ls7e_ard_3-1-0_112077_2011-03-15_final
2011-08-30 10:34:36	ga_ls7e_ard_3-1-0_104070_2011-08-30_final
2012-02-09 09:32:32	ga_ls7e_ard_3-1-0_093083_2012-02-09_final
2012-07-13 10:51:08	ga_ls7e_ard_3-1-0_106077_2012-07-13_final
2013-05-15 10:37:06	ga_ls7e_ard_3-1-0_104070_2013-05-15_final
2013-09-04 10:36:45	ga_ls7e_ard_3-1-0_104070_2013-09-04_final
2014-07-27 10:05:44	ga_ls7e_ard_3-1-0_098080_2014-07-27_final
2014-08-22 10:38:51	ga_ls7e_ard_3-1-0_104070_2014-08-22_final
2015-07-18 09:44:21	ga_ls7e_ard_3-1-0_094083_2015-07-18_final
2015-07-25 09:46:33	ga_ls7e_ard_3-1-0_095073_2015-07-25_final
2015-10-23 10:23:49	ga_ls7e_ard_3-1-0_101072_2015-10-23_final
2015-12-09 09:45:41	ga_ls7e_ard_3-1-0_094083_2015-12-09_final
2016-01-16 10:42:52	ga_ls7e_ard_3-1-0_104070_2016-01-16_final
2016-05-18 10:25:53	ga_ls7e_ard_3-1-0_101072_2016-05-18_final
2016-08-24 10:18:58	ga_ls7e_ard_3-1-0_099085_2016-08-24_final
2016-10-17 11:19:16	ga_ls7e_ard_3-1-0_109081_2016-10-17_final
2017-03-08 11:31:24	ga_ls7e_ard_3-1-0_111082_2017-03-08_final
2017-04-11 09:40:44	ga_ls7e_ard_3-1-0_093083_2017-04-11_final
2017-12-07 11:18:58	ga_ls7e_ard_3-1-0_109081_2017-12-07_final
2018-01-08 11:18:35	ga_ls7e_ard_3-1-0_109081_2018-01-08_final
2018-01-21 10:45:06	ga_ls7e_ard_3-1-0_104075_2018-01-21_final
2018-02-21 10:01:49	ga_ls7e_ard_3-1-0_097076_2018-02-21_final
2018-03-20 09:45:45	ga_ls7e_ard_3-1-0_094083_2018-03-20_final
2018-10-04 10:38:42	ga_ls7e_ard_3-1-0_104070_2018-10-04_final
2019-02-25 10:36:45	ga_ls7e_ard_3-1-0_104075_2019-02-25_final
2019-02-26 11:22:46	ga_ls7e_ard_3-1-0_111082_2019-02-26_final
2019-03-14 11:22:16	ga_ls7e_ard_3-1-0_111082_2019-03-14_final
2019-03-28 09:55:16	ga_ls7e_ard_3-1-0_097082_2019-03-28_final
2019-03-29 10:34:30	ga_ls7e_ard_3-1-0_104072_2019-03-29_final
2019-03-29 10:37:42	ga_ls7e_ard_3-1-0_104080_2019-03-29_final
2019-07-18 09:48:43	ga_ls7e_ard_3-1-0_097076_2019-07-18_final
2019-08-25 10:47:22	ga_ls7e_ard_3-1-0_107072_2019-08-25_final
2019-09-03 09:05:54	ga_ls7e_ard_3-1-0_090082_2019-09-02_final
2019-09-04 09:49:07	ga_ls7e_ard_3-1-0_097082_2019-09-04_final
2019-09-08 09:22:38	ga_ls7e_ard_3-1-0_093078_2019-09-07_final
2019-09-09 10:03:51	ga_ls7e_ard_3-1-0_100073_2019-09-09_final
2019-09-20 09:44:25	ga_ls7e_ard_3-1-0_097072_2019-09-20_final
2019-09-21 10:26:50	ga_ls7e_ard_3-1-0_104070_2019-09-21_final
2019-09-24 11:01:36	ga_ls7e_ard_3-1-0_109080_2019-09-24_final
2019-09-27 09:51:30	ga_ls7e_ard_3-1-0_098075_2019-09-27_final
2019-10-01 11:03:54	ga_ls7e_ard_3-1-0_110071_2019-10-01_final
2019-10-05 10:41:48	ga_ls7e_ard_3-1-0_106078_2019-10-05_final
2019-10-16 10:23:12	ga_ls7e_ard_3-1-0_103079_2019-10-16_final
2019-10-22 11:26:45	ga_ls7e_ard_3-1-0_113084_2019-10-22_final
2019-11-09 11:11:59	ga_ls7e_ard_3-1-0_111080_2019-11-09_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-11-11 09:21:03	ga_ls7e_ard_3-1-0_093081_2019-11-10_final
2019-11-23 09:43:13	ga_ls7e_ard_3-1-0_097076_2019-11-23_final
2019-11-25 11:11:15	ga_ls7e_ard_3-1-0_111080_2019-11-25_final
2019-11-30 09:49:04	ga_ls7e_ard_3-1-0_098076_2019-11-30_final
2019-12-04 11:04:13	ga_ls7e_ard_3-1-0_110079_2019-12-04_final
2019-12-05 10:08:57	ga_ls7e_ard_3-1-0_101080_2019-12-05_final
2019-12-09 11:22:07	ga_ls7e_ard_3-1-0_113078_2019-12-09_final
2019-12-10 10:24:03	ga_ls7e_ard_3-1-0_104072_2019-12-10_final
2019-12-11 11:09:39	ga_ls7e_ard_3-1-0_111078_2019-12-11_final
2019-12-13 09:17:55	ga_ls7e_ard_3-1-0_093077_2019-12-12_final
2019-12-13 09:18:19	ga_ls7e_ard_3-1-0_093078_2019-12-12_final
2019-12-24 10:38:30	ga_ls7e_ard_3-1-0_106079_2019-12-24_final
2020-01-21 09:25:18	ga_ls7e_ard_3-1-0_094085_2020-01-20_final
2020-02-10 10:36:04	ga_ls7e_ard_3-1-0_106079_2020-02-10_final
2020-02-23 10:04:29	ga_ls7e_ard_3-1-0_101079_2020-02-23_final
2020-02-26 10:36:01	ga_ls7e_ard_3-1-0_106081_2020-02-26_final
2020-03-06 08:51:41	ga_ls7e_ard_3-1-0_089084_2020-03-05_final
2020-03-07 11:11:22	ga_ls7e_ard_3-1-0_112078_2020-03-07_final
2020-03-18 09:16:32	ga_ls7e_ard_3-1-0_093086_2020-03-17_final
2020-03-25 09:18:20	ga_ls7e_ard_3-1-0_094076_2020-03-24_final
2020-04-15 09:36:05	ga_ls7e_ard_3-1-0_097077_2020-04-15_final
2020-04-24 11:08:39	ga_ls7e_ard_3-1-0_112078_2020-04-24_final
2022-03-13 08:34:59	ga_ls7e_ard_3-2-1_096077_2022-03-12_final
2022-03-17 08:11:51	ga_ls7e_ard_3-2-1_092082_2022-03-16_final
2022-03-23 09:11:29	ga_ls7e_ard_3-2-1_102078_2022-03-22_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_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