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
1999-08-21 11:26:20	ga_ls7e_ard_3-1-0_112077_1999-08-21_final
1999-09-06 11:26:23	ga_ls7e_ard_3-1-0_112077_1999-09-06_final
2000-01-17 11:44:48	ga_ls7e_ard_3-1-0_115077_2000-01-17_final
2000-08-23 11:24:27	ga_ls7e_ard_3-1-0_112077_2000-08-23_final
2000-09-01 11:20:09	ga_ls7e_ard_3-1-0_111082_2000-09-01_final
2001-01-06 10:31:39	ga_ls7e_ard_3-1-0_104070_2001-01-06_final
2001-02-13 09:58:34	ga_ls7e_ard_3-1-0_098080_2001-02-13_final
2001-02-26 09:29:58	ga_ls7e_ard_3-1-0_093086_2001-02-25_final
2001-03-28 11:19:26	ga_ls7e_ard_3-1-0_111082_2001-03-28_final
2001-04-11 09:50:28	ga_ls7e_ard_3-1-0_097076_2001-04-11_final
2001-08-28 09:26:58	ga_ls7e_ard_3-1-0_094067_2001-08-27_final
2002-05-08 09:01:45	ga_ls7e_ard_3-1-0_089081_2002-05-07_final
2002-08-13 11:21:38	ga_ls7e_ard_3-1-0_112077_2002-08-13_final
2002-08-30 10:27:49	ga_ls7e_ard_3-1-0_103082_2002-08-30_final
2002-09-19 11:39:46	ga_ls7e_ard_3-1-0_115077_2002-09-19_final
2002-10-22 10:45:46	ga_ls7e_ard_3-1-0_106081_2002-10-22_final
2002-12-27 10:29:34	ga_ls7e_ard_3-1-0_104070_2002-12-27_final
2003-09-19 09:32:50	ga_ls7e_ard_3-1-0_094083_2003-09-19_final
2004-06-15 11:22:29	ga_ls7e_ard_3-1-0_112077_2004-06-15_final
2004-10-28 09:49:10	ga_ls7e_ard_3-1-0_097076_2004-10-28_final
2006-06-23 09:34:34	ga_ls7e_ard_3-1-0_094083_2006-06-23_final
2007-09-23 09:28:13	ga_ls7e_ard_3-1-0_093083_2007-09-22_final
2008-10-07 09:49:02	ga_ls7e_ard_3-1-0_097076_2008-10-07_final
2008-12-12 11:18:44	ga_ls7e_ard_3-1-0_111082_2008-12-12_final
2009-05-04 10:35:14	ga_ls7e_ard_3-1-0_104079_2009-05-04_final
2009-08-07 09:50:33	ga_ls7e_ard_3-1-0_097076_2009-08-07_final
2009-11-27 09:51:07	ga_ls7e_ard_3-1-0_097076_2009-11-27_final
2009-12-25 10:15:51	ga_ls7e_ard_3-1-0_101075_2009-12-25_final
2010-06-24 10:33:24	ga_ls7e_ard_3-1-0_104070_2010-06-24_final
2011-09-14 09:53:38	ga_ls7e_ard_3-1-0_097076_2011-09-14_final
2011-11-10 11:26:58	ga_ls7e_ard_3-1-0_112077_2011-11-10_final
2012-10-20 11:25:04	ga_ls7e_ard_3-1-0_111082_2012-10-20_final
2013-01-21 10:52:57	ga_ls7e_ard_3-1-0_106078_2013-01-21_final
2013-03-29 11:25:19	ga_ls7e_ard_3-1-0_111082_2013-03-29_final
2013-05-03 10:16:48	ga_ls7e_ard_3-1-0_100081_2013-05-03_final
2013-10-23 11:25:20	ga_ls7e_ard_3-1-0_111082_2013-10-23_final
2015-05-31 09:44:07	ga_ls7e_ard_3-1-0_094083_2015-05-31_final
2015-06-01 10:24:12	ga_ls7e_ard_3-1-0_101075_2015-06-01_final
2015-07-09 11:28:59	ga_ls7e_ard_3-1-0_111082_2015-07-09_final
2017-01-19 11:31:23	ga_ls7e_ard_3-1-0_111082_2017-01-19_final
2017-06-14 09:41:03	ga_ls7e_ard_3-1-0_093083_2017-06-14_final
2017-08-21 09:15:31	ga_ls7e_ard_3-1-0_089081_2017-08-20_final
2018-01-03 10:58:31	ga_ls7e_ard_3-1-0_106077_2018-01-03_final
2018-02-22 10:42:41	ga_ls7e_ard_3-1-0_104070_2018-02-22_final
2018-05-08 10:25:00	ga_ls7e_ard_3-1-0_101075_2018-05-08_final
2018-05-17 10:21:05	ga_ls7e_ard_3-1-0_100081_2018-05-17_final
2018-09-17 09:58:14	ga_ls7e_ard_3-1-0_097076_2018-09-17_final
2018-11-24 09:34:43	ga_ls7e_ard_3-1-0_093083_2018-11-24_final
2019-01-25 11:23:45	ga_ls7e_ard_3-1-0_111082_2019-01-25_final
2019-02-17 11:26:26	ga_ls7e_ard_3-1-0_112075_2019-02-17_final
2019-02-19 09:36:44	ga_ls7e_ard_3-1-0_094079_2019-02-19_final
2019-02-24 09:55:55	ga_ls7e_ard_3-1-0_097081_2019-02-24_final
2019-03-01 10:13:30	ga_ls7e_ard_3-1-0_100079_2019-03-01_final
2019-03-07 09:35:02	ga_ls7e_ard_3-1-0_094076_2019-03-07_final
2019-03-10 10:05:02	ga_ls7e_ard_3-1-0_099074_2019-03-10_final
2019-03-18 10:57:01	ga_ls7e_ard_3-1-0_107081_2019-03-18_final
2019-03-19 09:58:10	ga_ls7e_ard_3-1-0_098073_2019-03-19_final
2019-05-31 09:50:31	ga_ls7e_ard_3-1-0_097076_2019-05-31_final
2019-07-23 10:09:03	ga_ls7e_ard_3-1-0_100081_2019-07-23_final
2019-09-06 11:14:22	ga_ls7e_ard_3-1-0_111079_2019-09-06_final
2019-09-13 11:20:14	ga_ls7e_ard_3-1-0_112079_2019-09-13_final
2019-09-15 09:28:54	ga_ls7e_ard_3-1-0_094079_2019-09-14_final
2019-09-20 11:24:30	ga_ls7e_ard_3-1-0_113075_2019-09-20_final
2019-09-24 09:21:07	ga_ls7e_ard_3-1-0_093076_2019-09-23_final
2019-09-25 10:06:20	ga_ls7e_ard_3-1-0_100081_2019-09-25_final
2019-10-04 09:57:00	ga_ls7e_ard_3-1-0_099074_2019-10-04_final
2019-10-07 10:29:22	ga_ls7e_ard_3-1-0_104078_2019-10-07_final
2019-10-08 11:12:35	ga_ls7e_ard_3-1-0_111078_2019-10-08_final
2019-10-21 09:04:15	ga_ls7e_ard_3-1-0_090083_2019-10-20_final
2019-10-22 11:25:33	ga_ls7e_ard_3-1-0_113081_2019-10-22_final
2019-11-06 09:02:45	ga_ls7e_ard_3-1-0_090081_2019-11-05_final
2019-11-06 10:40:26	ga_ls7e_ard_3-1-0_106078_2019-11-06_final
2019-11-06 10:40:50	ga_ls7e_ard_3-1-0_106079_2019-11-06_final
2019-11-08 10:27:59	ga_ls7e_ard_3-1-0_104078_2019-11-08_final
2019-11-16 11:15:51	ga_ls7e_ard_3-1-0_112075_2019-11-16_final
2019-11-17 10:19:47	ga_ls7e_ard_3-1-0_103074_2019-11-17_final
2019-11-18 11:05:00	ga_ls7e_ard_3-1-0_110079_2019-11-18_final
2019-12-21 10:08:33	ga_ls7e_ard_3-1-0_101081_2019-12-21_final
2019-12-26 10:25:14	ga_ls7e_ard_3-1-0_104077_2019-12-26_final
2019-12-29 10:56:46	ga_ls7e_ard_3-1-0_109079_2019-12-29_final
2019-12-30 10:01:30	ga_ls7e_ard_3-1-0_100080_2019-12-30_final
2020-01-01 09:47:26	ga_ls7e_ard_3-1-0_098076_2020-01-01_final
2020-01-03 11:14:15	ga_ls7e_ard_3-1-0_112077_2020-01-03_final
2020-01-19 11:13:27	ga_ls7e_ard_3-1-0_112077_2020-01-19_final
2020-01-25 08:59:12	ga_ls7e_ard_3-1-0_090082_2020-01-24_final
2020-01-30 09:15:29	ga_ls7e_ard_3-1-0_093077_2020-01-29_final
2020-01-30 10:55:10	ga_ls7e_ard_3-1-0_109079_2020-01-30_final
2020-02-12 10:20:48	ga_ls7e_ard_3-1-0_104072_2020-02-12_final
2020-02-15 09:15:04	ga_ls7e_ard_3-1-0_093078_2020-02-14_final
2020-02-15 09:15:52	ga_ls7e_ard_3-1-0_093080_2020-02-14_final
2020-02-21 10:16:33	ga_ls7e_ard_3-1-0_103078_2020-02-21_final
2020-03-02 10:53:06	ga_ls7e_ard_3-1-0_109078_2020-03-02_final
2020-03-07 11:10:10	ga_ls7e_ard_3-1-0_112075_2020-03-07_final
2020-03-15 10:20:42	ga_ls7e_ard_3-1-0_104076_2020-03-15_final
2020-03-21 11:22:10	ga_ls7e_ard_3-1-0_114076_2020-03-21_final
2020-03-29 10:33:28	ga_ls7e_ard_3-1-0_106079_2020-03-29_final
2020-04-01 11:02:36	ga_ls7e_ard_3-1-0_111075_2020-04-01_final
2020-04-04 09:53:39	ga_ls7e_ard_3-1-0_100073_2020-04-04_final
2020-04-27 10:00:53	ga_ls7e_ard_3-1-0_101079_2020-04-27_final
2022-03-21 09:20:50	ga_ls7e_ard_3-2-1_104070_2022-03-20_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