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
1999-11-05 10:13:47	ga_ls7e_ard_3-1-0_100081_1999-11-05_final
2000-04-03 09:37:06	ga_ls7e_ard_3-1-0_094083_2000-04-03_final
2000-07-28 09:11:53	ga_ls7e_ard_3-1-0_090085_2000-07-27_final
2000-08-23 11:24:27	ga_ls7e_ard_3-1-0_112077_2000-08-23_final
2000-10-22 10:11:08	ga_ls7e_ard_3-1-0_100081_2000-10-22_final
2001-02-26 09:29:58	ga_ls7e_ard_3-1-0_093086_2001-02-25_final
2001-06-25 09:33:59	ga_ls7e_ard_3-1-0_094083_2001-06-25_final
2001-07-21 10:10:12	ga_ls7e_ard_3-1-0_100081_2001-07-21_final
2001-08-02 10:30:21	ga_ls7e_ard_3-1-0_104070_2001-08-02_final
2001-11-30 11:22:48	ga_ls7e_ard_3-1-0_112079_2001-11-30_final
2002-04-13 09:09:30	ga_ls7e_ard_3-1-0_090085_2002-04-12_final
2002-05-17 10:29:57	ga_ls7e_ard_3-1-0_104070_2002-05-17_final
2002-07-28 11:21:42	ga_ls7e_ard_3-1-0_112077_2002-07-28_final
2002-08-15 09:32:47	ga_ls7e_ard_3-1-0_094083_2002-08-15_final
2002-08-31 09:32:36	ga_ls7e_ard_3-1-0_094083_2002-08-31_final
2003-04-22 10:09:37	ga_ls7e_ard_3-1-0_100081_2003-04-22_final
2003-05-08 10:09:39	ga_ls7e_ard_3-1-0_100081_2003-05-08_final
2004-03-13 09:30:40	ga_ls7e_ard_3-1-0_094075_2004-03-13_final
2005-04-26 09:29:59	ga_ls7e_ard_3-1-0_093088_2005-04-25_final
2005-06-13 09:29:53	ga_ls7e_ard_3-1-0_093088_2005-06-12_final
2005-10-20 10:10:05	ga_ls7e_ard_3-1-0_100081_2005-10-20_final
2006-10-13 09:35:39	ga_ls7e_ard_3-1-0_094087_2006-10-13_final
2008-02-05 09:34:56	ga_ls7e_ard_3-1-0_094083_2008-02-05_final
2008-10-27 09:27:18	ga_ls7e_ard_3-1-0_093083_2008-10-26_final
2008-12-30 09:28:03	ga_ls7e_ard_3-1-0_093083_2008-12-29_final
2009-01-15 09:30:08	ga_ls7e_ard_3-1-0_093088_2009-01-15_final
2009-06-19 09:09:55	ga_ls7e_ard_3-1-0_090082_2009-06-18_final
2009-08-08 10:31:25	ga_ls7e_ard_3-1-0_104070_2009-08-08_final
2010-09-04 11:26:32	ga_ls7e_ard_3-1-0_112079_2010-09-04_final
2011-01-21 09:30:10	ga_ls7e_ard_3-1-0_093079_2011-01-21_final
2011-06-19 11:29:49	ga_ls7e_ard_3-1-0_112084_2011-06-19_final
2012-04-26 10:35:33	ga_ls7e_ard_3-1-0_104070_2012-04-26_final
2013-01-23 10:40:12	ga_ls7e_ard_3-1-0_104077_2013-01-23_final
2013-02-08 10:37:26	ga_ls7e_ard_3-1-0_104070_2013-02-08_final
2013-09-28 11:28:02	ga_ls7e_ard_3-1-0_112074_2013-09-28_final
2014-09-07 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-09-07_final
2014-11-02 11:34:26	ga_ls7e_ard_3-1-0_112084_2014-11-02_final
2014-11-13 09:38:17	ga_ls7e_ard_3-1-0_093087_2014-11-13_final
2015-07-08 10:40:56	ga_ls7e_ard_3-1-0_104070_2015-07-08_final
2016-03-04 10:43:13	ga_ls7e_ard_3-1-0_104070_2016-03-04_final
2016-11-18 09:42:34	ga_ls7e_ard_3-1-0_093087_2016-11-18_final
2016-12-04 09:42:32	ga_ls7e_ard_3-1-0_093087_2016-12-04_final
2017-10-17 10:43:52	ga_ls7e_ard_3-1-0_104070_2017-10-17_final
2017-10-31 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-10-30_final
2018-09-02 10:39:26	ga_ls7e_ard_3-1-0_104070_2018-09-02_final
2018-10-07 09:35:50	ga_ls7e_ard_3-1-0_093083_2018-10-07_final
2018-11-24 09:34:43	ga_ls7e_ard_3-1-0_093083_2018-11-24_final
2019-01-24 10:35:44	ga_ls7e_ard_3-1-0_104070_2019-01-24_final
2019-02-17 11:28:02	ga_ls7e_ard_3-1-0_112079_2019-02-17_final
2019-02-17 11:30:02	ga_ls7e_ard_3-1-0_112084_2019-02-17_final
2019-02-22 10:03:33	ga_ls7e_ard_3-1-0_099069_2019-02-22_final
2019-02-22 10:08:44	ga_ls7e_ard_3-1-0_099082_2019-02-22_final
2019-02-25 10:38:45	ga_ls7e_ard_3-1-0_104080_2019-02-25_final
2019-02-28 09:31:52	ga_ls7e_ard_3-1-0_093083_2019-02-28_final
2019-03-06 10:29:05	ga_ls7e_ard_3-1-0_103072_2019-03-06_final
2019-03-06 10:32:17	ga_ls7e_ard_3-1-0_103080_2019-03-06_final
2019-03-13 10:38:14	ga_ls7e_ard_3-1-0_104080_2019-03-13_final
2019-03-29 10:34:06	ga_ls7e_ard_3-1-0_104071_2019-03-29_final
2019-07-03 10:30:10	ga_ls7e_ard_3-1-0_104070_2019-07-03_final
2019-08-24 10:06:32	ga_ls7e_ard_3-1-0_100078_2019-08-24_final
2019-08-25 10:46:34	ga_ls7e_ard_3-1-0_107070_2019-08-25_final
2019-09-03 09:05:30	ga_ls7e_ard_3-1-0_090081_2019-09-02_final
2019-09-09 10:03:03	ga_ls7e_ard_3-1-0_100071_2019-09-09_final
2019-09-09 10:03:51	ga_ls7e_ard_3-1-0_100073_2019-09-09_final
2019-09-21 10:28:26	ga_ls7e_ard_3-1-0_104074_2019-09-21_final
2019-09-26 10:49:57	ga_ls7e_ard_3-1-0_107082_2019-09-26_final
2019-10-01 09:26:13	ga_ls7e_ard_3-1-0_094074_2019-09-30_final
2019-10-20 09:53:32	ga_ls7e_ard_3-1-0_099067_2019-10-20_final
2019-10-28 10:48:36	ga_ls7e_ard_3-1-0_107082_2019-10-28_final
2019-11-02 09:24:51	ga_ls7e_ard_3-1-0_094074_2019-11-01_final
2019-11-29 10:46:20	ga_ls7e_ard_3-1-0_107080_2019-11-29_final
2019-12-03 10:16:37	ga_ls7e_ard_3-1-0_103068_2019-12-03_final
2019-12-03 10:18:13	ga_ls7e_ard_3-1-0_103072_2019-12-03_final
2019-12-07 09:51:18	ga_ls7e_ard_3-1-0_099067_2019-12-07_final
2019-12-08 09:04:01	ga_ls7e_ard_3-1-0_090088_2019-12-07_final
2019-12-14 09:58:44	ga_ls7e_ard_3-1-0_100071_2019-12-14_final
2019-12-14 10:03:31	ga_ls7e_ard_3-1-0_100083_2019-12-14_final
2019-12-15 10:46:44	ga_ls7e_ard_3-1-0_107083_2019-12-15_final
2019-12-29 09:19:05	ga_ls7e_ard_3-1-0_093082_2019-12-28_final
2020-01-03 11:13:51	ga_ls7e_ard_3-1-0_112076_2020-01-03_final
2020-01-03 11:16:39	ga_ls7e_ard_3-1-0_112083_2020-01-03_final
2020-01-11 10:22:01	ga_ls7e_ard_3-1-0_104071_2020-01-11_final
2020-02-04 11:12:15	ga_ls7e_ard_3-1-0_112076_2020-02-04_final
2020-02-05 10:18:59	ga_ls7e_ard_3-1-0_103082_2020-02-05_final
2020-02-12 10:24:00	ga_ls7e_ard_3-1-0_104080_2020-02-12_final
2020-03-02 09:15:01	ga_ls7e_ard_3-1-0_093080_2020-03-01_final
2020-03-09 09:21:13	ga_ls7e_ard_3-1-0_094081_2020-03-08_final
2020-03-25 09:22:20	ga_ls7e_ard_3-1-0_094086_2020-03-24_final
2020-03-29 08:55:47	ga_ls7e_ard_3-1-0_090082_2020-03-28_final
2020-04-03 09:12:03	ga_ls7e_ard_3-1-0_093077_2020-04-02_final
2020-04-04 09:58:03	ga_ls7e_ard_3-1-0_100084_2020-04-04_final
2020-04-05 10:38:27	ga_ls7e_ard_3-1-0_107077_2020-04-05_final
2020-04-10 09:18:38	ga_ls7e_ard_3-1-0_094079_2020-04-09_final
2020-04-13 09:44:34	ga_ls7e_ard_3-1-0_099067_2020-04-13_final
2020-04-13 09:49:21	ga_ls7e_ard_3-1-0_099079_2020-04-13_final
2020-04-16 10:15:41	ga_ls7e_ard_3-1-0_104068_2020-04-16_final
2022-03-17 09:47:56	ga_ls7e_ard_3-2-1_108075_2022-03-17_final
2022-03-22 08:26:19	ga_ls7e_ard_3-2-1_095073_2022-03-21_final
2022-03-28 09:29:33	ga_ls7e_ard_3-2-1_105078_2022-03-27_final
2022-04-02 08:11:07	ga_ls7e_ard_3-2-1_092084_2022-04-01_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