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
2000-04-23 09:13:00	ga_ls7e_ard_3-1-0_090085_2000-04-22_final
2000-04-28 09:32:21	ga_ls7e_ard_3-1-0_093087_2000-04-28_final
2001-04-20 11:26:22	ga_ls7e_ard_3-1-0_112084_2001-04-20_final
2001-06-15 10:30:48	ga_ls7e_ard_3-1-0_104070_2001-06-15_final
2001-07-15 09:10:02	ga_ls7e_ard_3-1-0_090085_2001-07-14_final
2002-03-01 09:29:00	ga_ls7e_ard_3-1-0_093087_2002-02-28_final
2002-10-24 10:29:01	ga_ls7e_ard_3-1-0_104070_2002-10-24_final
2003-01-28 10:29:43	ga_ls7e_ard_3-1-0_104070_2003-01-28_final
2003-08-28 10:09:16	ga_ls7e_ard_3-1-0_100081_2003-08-28_final
2003-09-19 09:32:50	ga_ls7e_ard_3-1-0_094083_2003-09-19_final
2004-02-24 11:23:21	ga_ls7e_ard_3-1-0_112079_2004-02-24_final
2004-05-26 10:10:04	ga_ls7e_ard_3-1-0_100081_2004-05-26_final
2005-02-06 10:10:25	ga_ls7e_ard_3-1-0_100081_2005-02-06_final
2005-04-01 09:34:16	ga_ls7e_ard_3-1-0_094083_2005-04-01_final
2006-01-14 09:35:41	ga_ls7e_ard_3-1-0_094086_2006-01-14_final
2006-03-03 09:34:42	ga_ls7e_ard_3-1-0_094083_2006-03-03_final
2007-04-05 11:24:47	ga_ls7e_ard_3-1-0_112079_2007-04-05_final
2008-03-30 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-30_final
2008-08-03 09:08:44	ga_ls7e_ard_3-1-0_090082_2008-08-02_final
2009-03-17 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-03-17_final
2009-09-03 09:34:47	ga_ls7e_ard_3-1-0_094083_2009-09-03_final
2010-02-20 10:12:51	ga_ls7e_ard_3-1-0_100081_2010-02-20_final
2010-05-10 09:30:35	ga_ls7e_ard_3-1-0_093083_2010-05-10_final
2010-10-01 09:29:26	ga_ls7e_ard_3-1-0_093080_2010-09-30_final
2011-02-22 09:31:55	ga_ls7e_ard_3-1-0_093083_2011-02-22_final
2012-01-15 09:38:38	ga_ls7e_ard_3-1-0_094083_2012-01-15_final
2012-05-06 09:39:11	ga_ls7e_ard_3-1-0_094083_2012-05-06_final
2012-11-14 09:40:33	ga_ls7e_ard_3-1-0_094083_2012-11-14_final
2013-03-12 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-03-12_final
2013-03-20 11:29:34	ga_ls7e_ard_3-1-0_112077_2013-03-20_final
2013-09-24 10:16:37	ga_ls7e_ard_3-1-0_100081_2013-09-24_final
2013-11-01 09:40:41	ga_ls7e_ard_3-1-0_094083_2013-11-01_final
2013-12-01 11:29:46	ga_ls7e_ard_3-1-0_112077_2013-12-01_final
2014-03-03 10:17:39	ga_ls7e_ard_3-1-0_100081_2014-03-03_final
2014-07-31 09:42:15	ga_ls7e_ard_3-1-0_094083_2014-07-31_final
2014-10-19 09:42:39	ga_ls7e_ard_3-1-0_094083_2014-10-19_final
2015-02-18 10:19:38	ga_ls7e_ard_3-1-0_100081_2015-02-18_final
2015-03-10 11:32:21	ga_ls7e_ard_3-1-0_112077_2015-03-10_final
2015-09-26 10:41:12	ga_ls7e_ard_3-1-0_104070_2015-09-26_final
2015-10-28 10:41:38	ga_ls7e_ard_3-1-0_104070_2015-10-28_final
2016-02-21 10:22:46	ga_ls7e_ard_3-1-0_100081_2016-02-21_final
2016-09-28 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-09-28_final
2017-04-24 10:43:38	ga_ls7e_ard_3-1-0_104070_2017-04-24_final
2018-01-05 10:45:20	ga_ls7e_ard_3-1-0_104075_2018-01-05_final
2018-06-30 10:44:14	ga_ls7e_ard_3-1-0_104079_2018-06-30_final
2018-10-14 09:41:50	ga_ls7e_ard_3-1-0_094083_2018-10-14_final
2019-02-03 09:38:48	ga_ls7e_ard_3-1-0_094083_2019-02-03_final
2019-02-17 11:27:14	ga_ls7e_ard_3-1-0_112077_2019-02-17_final
2019-02-18 10:30:47	ga_ls7e_ard_3-1-0_103075_2019-02-18_final
2019-02-18 10:32:23	ga_ls7e_ard_3-1-0_103079_2019-02-18_final
2019-02-22 10:05:33	ga_ls7e_ard_3-1-0_099074_2019-02-22_final
2019-02-25 10:35:09	ga_ls7e_ard_3-1-0_104071_2019-02-25_final
2019-02-25 10:36:45	ga_ls7e_ard_3-1-0_104075_2019-02-25_final
2019-02-25 10:38:21	ga_ls7e_ard_3-1-0_104079_2019-02-25_final
2019-03-06 10:29:53	ga_ls7e_ard_3-1-0_103074_2019-03-06_final
2019-03-07 09:37:50	ga_ls7e_ard_3-1-0_094083_2019-03-07_final
2019-03-13 10:37:26	ga_ls7e_ard_3-1-0_104078_2019-03-13_final
2019-03-18 10:53:49	ga_ls7e_ard_3-1-0_107073_2019-03-18_final
2019-03-18 10:57:01	ga_ls7e_ard_3-1-0_107081_2019-03-18_final
2019-03-22 10:30:58	ga_ls7e_ard_3-1-0_103078_2019-03-22_final
2019-03-28 11:31:46	ga_ls7e_ard_3-1-0_113076_2019-03-28_final
2019-03-29 10:33:43	ga_ls7e_ard_3-1-0_104070_2019-03-29_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-08-25 10:49:45	ga_ls7e_ard_3-1-0_107078_2019-08-25_final
2019-08-29 10:22:04	ga_ls7e_ard_3-1-0_103071_2019-08-29_final
2019-09-03 09:06:18	ga_ls7e_ard_3-1-0_090083_2019-09-02_final
2019-09-05 10:30:45	ga_ls7e_ard_3-1-0_104078_2019-09-05_final
2019-09-10 10:47:04	ga_ls7e_ard_3-1-0_107073_2019-09-10_final
2019-09-24 09:22:19	ga_ls7e_ard_3-1-0_093079_2019-09-23_final
2019-09-26 10:45:58	ga_ls7e_ard_3-1-0_107072_2019-09-26_final
2019-09-30 10:23:52	ga_ls7e_ard_3-1-0_103079_2019-09-30_final
2019-10-06 11:24:38	ga_ls7e_ard_3-1-0_113077_2019-10-06_final
2019-10-06 11:25:02	ga_ls7e_ard_3-1-0_113078_2019-10-06_final
2019-10-07 10:29:22	ga_ls7e_ard_3-1-0_104078_2019-10-07_final
2019-10-11 10:05:41	ga_ls7e_ard_3-1-0_100081_2019-10-11_final
2019-10-15 11:17:17	ga_ls7e_ard_3-1-0_112075_2019-10-15_final
2019-10-17 09:25:57	ga_ls7e_ard_3-1-0_094075_2019-10-16_final
2019-10-20 09:56:19	ga_ls7e_ard_3-1-0_099074_2019-10-20_final
2019-10-31 11:17:23	ga_ls7e_ard_3-1-0_112077_2019-10-31_final
2019-11-11 09:20:16	ga_ls7e_ard_3-1-0_093079_2019-11-10_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-11-13 10:47:53	ga_ls7e_ard_3-1-0_107082_2019-11-13_final
2019-11-17 10:21:47	ga_ls7e_ard_3-1-0_103079_2019-11-17_final
2019-11-18 09:24:55	ga_ls7e_ard_3-1-0_094076_2019-11-17_final
2019-11-23 11:22:54	ga_ls7e_ard_3-1-0_113078_2019-11-23_final
2019-12-20 09:23:21	ga_ls7e_ard_3-1-0_094076_2019-12-19_final
2019-12-29 09:17:54	ga_ls7e_ard_3-1-0_093079_2019-12-28_final
2020-01-03 11:14:15	ga_ls7e_ard_3-1-0_112077_2020-01-03_final
2020-02-05 10:16:11	ga_ls7e_ard_3-1-0_103075_2020-02-05_final
2020-03-04 10:40:14	ga_ls7e_ard_3-1-0_107077_2020-03-04_final
2020-03-15 10:22:41	ga_ls7e_ard_3-1-0_104081_2020-03-15_final
2020-03-24 10:14:49	ga_ls7e_ard_3-1-0_103078_2020-03-24_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-13 09:47:22	ga_ls7e_ard_3-1-0_099074_2020-04-13_final
2020-04-15 11:15:45	ga_ls7e_ard_3-1-0_113079_2020-04-15_final
2020-04-25 10:13:46	ga_ls7e_ard_3-1-0_103080_2020-04-25_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_final
2022-03-21 09:24:26	ga_ls7e_ard_3-2-1_104079_2022-03-20_final
2022-03-29 08:32:38	ga_ls7e_ard_3-2-1_096075_2022-03-28_final
2022-04-01 09:04:51	ga_ls7e_ard_3-2-1_101079_2022-03-31_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