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
2000-04-19 11:14:57	ga_ls7e_ard_3-0-0_110081_2000-04-19_final
2000-07-31 11:16:52	ga_ls7e_ard_3-0-0_111073_2000-07-31_final
2001-03-12 11:16:00	ga_ls7e_ard_3-0-0_111073_2001-03-12_final
2002-01-17 11:21:03	ga_ls7e_ard_3-0-0_112074_2002-01-17_final
2002-03-31 11:14:52	ga_ls7e_ard_3-0-0_111074_2002-03-31_final
2003-01-22 11:11:35	ga_ls7e_ard_3-0-0_110082_2003-01-22_final
2003-09-26 11:13:29	ga_ls7e_ard_3-0-0_111072_2003-09-26_final
2004-01-25 11:11:44	ga_ls7e_ard_3-0-0_110081_2004-01-25_final
2004-10-30 11:14:31	ga_ls7e_ard_3-0-0_111073_2004-10-30_final
2004-12-10 11:09:52	ga_ls7e_ard_3-0-0_110076_2004-12-10_final
2004-12-24 11:21:57	ga_ls7e_ard_3-0-0_112075_2004-12-24_final
2005-08-21 11:21:33	ga_ls7e_ard_3-0-0_112074_2005-08-21_final
2005-10-26 11:09:58	ga_ls7e_ard_3-0-0_110076_2005-10-26_final
2005-12-11 11:22:17	ga_ls7e_ard_3-0-0_112075_2005-12-11_final
2005-12-13 11:13:07	ga_ls7e_ard_3-0-0_110083_2005-12-13_final
2006-02-13 11:22:43	ga_ls7e_ard_3-0-0_112075_2006-02-13_final
2006-04-20 11:10:42	ga_ls7e_ard_3-0-0_110076_2006-04-20_final
2006-05-22 11:10:22	ga_ls7e_ard_3-0-0_110075_2006-05-22_final
2006-10-20 11:16:26	ga_ls7e_ard_3-0-0_111076_2006-10-20_final
2007-01-08 11:16:42	ga_ls7e_ard_3-0-0_111075_2007-01-08_final
2007-01-15 11:22:53	ga_ls7e_ard_3-0-0_112075_2007-01-15_final
2007-03-06 11:14:24	ga_ls7e_ard_3-0-0_110084_2007-03-06_final
2007-03-29 11:17:01	ga_ls7e_ard_3-0-0_111075_2007-03-29_final
2008-08-29 11:21:43	ga_ls7e_ard_3-0-0_112075_2008-08-29_final
2009-11-04 11:22:43	ga_ls7e_ard_3-0-0_112074_2009-11-04_final
2010-06-18 11:12:27	ga_ls7e_ard_3-0-0_110075_2010-06-18_final
2010-12-18 11:22:19	ga_ls7e_ard_3-1-0_111082_2010-12-18_final
2012-10-20 11:25:28	ga_ls7e_ard_3-0-0_111083_2012-10-20_final
2013-08-13 11:19:09	ga_ls7e_ard_3-0-0_110084_2013-08-13_final
2014-01-11 11:22:09	ga_ls7e_ard_3-0-0_111073_2014-01-11_final
2014-02-28 11:22:00	ga_ls7e_ard_3-0-0_111072_2014-02-28_final
2014-07-13 11:29:47	ga_ls7e_ard_3-0-0_112074_2014-07-13_final
2014-07-22 11:22:27	ga_ls7e_ard_3-0-0_111071_2014-07-22_final
2014-09-08 11:26:56	ga_ls7e_ard_3-1-0_111082_2014-09-08_final
2015-03-03 11:24:58	ga_ls7e_ard_3-0-0_111074_2015-03-03_final
2015-06-23 11:24:54	ga_ls7e_ard_3-0-0_111072_2015-06-23_final
2015-12-23 11:33:33	ga_ls7e_ard_3-0-0_112074_2015-12-23_final
2016-01-08 11:36:59	ga_ls7e_ard_3-0-0_112082_2016-01-08_final
2016-03-21 11:27:49	ga_ls7e_ard_3-0-0_111073_2016-03-21_final
2016-06-18 11:26:27	ga_ls7e_ard_3-0-0_110084_2016-06-18_final
2017-01-12 11:22:53	ga_ls7e_ard_3-0-0_110076_2017-01-12_final
2017-11-03 11:25:55	ga_ls7e_ard_3-0-0_111067_2017-11-03_final
2018-01-22 11:27:09	ga_ls7e_ard_3-0-0_111072_2018-01-22_final
2018-01-22 11:27:57	ga_ls7e_ard_3-0-0_111074_2018-01-22_final
2018-03-11 11:31:20	ga_ls7e_ard_3-0-0_111084_2018-03-11_final
2018-03-27 11:24:20	ga_ls7e_ard_3-0-0_111067_2018-03-27_final
2018-08-11 11:22:33	ga_ls7e_ard_3-0-0_110084_2018-08-11_final
2018-09-10 11:33:29	ga_ls7e_ard_3-0-0_112082_2018-09-10_final
2018-11-22 11:22:25	ga_ls7e_ard_3-0-0_111074_2018-11-22_final
2018-11-29 11:28:26	ga_ls7e_ard_3-0-0_112074_2018-11-29_final
2018-12-17 11:15:58	ga_ls7e_ard_3-0-0_110075_2018-12-17_final
2018-12-24 11:20:45	ga_ls7e_ard_3-0-0_111072_2018-12-24_final
2018-12-31 11:27:31	ga_ls7e_ard_3-0-0_112074_2018-12-31_final
2019-02-19 11:17:36	ga_ls7e_ard_3-1-0_110084_2019-02-19_final
2019-02-26 11:18:47	ga_ls7e_ard_3-1-0_111072_2019-02-26_final
2019-03-14 11:18:16	ga_ls7e_ard_3-1-0_111072_2019-03-14_final
2019-09-06 11:11:34	ga_ls7e_ard_3-1-0_111072_2019-09-06_final
2019-09-22 11:11:39	ga_ls7e_ard_3-1-0_111074_2019-09-22_final
2019-10-01 11:05:54	ga_ls7e_ard_3-1-0_110076_2019-10-01_final
2020-06-29 10:50:45	ga_ls7e_ard_3-1-0_110074_2020-06-29_final
2020-09-24 10:50:36	ga_ls7e_ard_3-1-0_111072_2020-09-24_final
2020-10-03 10:48:39	ga_ls7e_ard_3-1-0_110084_2020-10-03_final
2021-03-18 09:55:15	ga_ls7e_ard_3-2-0_104073_2021-03-18_final
2021-05-19 08:28:22	ga_ls7e_ard_3-2-0_090085_2021-05-18_final
2021-05-22 08:53:49	ga_ls7e_ard_3-2-0_095072_2021-05-21_final
2021-05-27 09:16:19	ga_ls7e_ard_3-2-0_098083_2021-05-26_final
2021-06-19 09:21:00	ga_ls7e_ard_3-2-0_099084_2021-06-18_final
2021-06-21 10:40:34	ga_ls7e_ard_3-2-0_113067_2021-06-21_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-06-30 10:36:26	ga_ls7e_ard_3-2-0_112074_2021-06-30_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-10 09:36:59	ga_ls7e_ard_3-2-0_102082_2021-07-10_final
2021-07-18 08:40:52	ga_ls7e_ard_3-2-0_094067_2021-07-17_final
2021-07-19 09:28:02	ga_ls7e_ard_3-2-0_101077_2021-07-18_final
2021-07-20 10:10:01	ga_ls7e_ard_3-2-0_108074_2021-07-20_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-07-29 10:03:27	ga_ls7e_ard_3-2-0_107075_2021-07-29_final
2021-08-01 10:33:41	ga_ls7e_ard_3-2-0_112074_2021-08-01_final
2021-08-19 10:23:43	ga_ls7e_ard_3-2-0_110084_2021-08-19_final
2021-08-21 10:05:36	ga_ls7e_ard_3-2-0_108070_2021-08-21_final
2021-09-11 08:44:38	ga_ls7e_ard_3-2-0_095073_2021-09-10_final
2021-09-22 10:03:12	ga_ls7e_ard_3-2-0_108071_2021-09-22_final
2021-10-06 10:13:55	ga_ls7e_ard_3-2-0_110070_2021-10-06_final
2021-10-12 09:41:06	ga_ls7e_ard_3-2-0_104082_2021-10-12_final
2021-10-13 08:46:59	ga_ls7e_ard_3-2-0_095086_2021-10-12_final
2021-10-19 09:43:51	ga_ls7e_ard_3-2-0_105075_2021-10-19_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-11-07 10:09:48	ga_ls7e_ard_3-2-0_110067_2021-11-07_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2022-01-14 08:08:49	ga_ls7e_ard_3-2-1_090090_2022-01-13_final
2022-01-26 08:29:11	ga_ls7e_ard_3-2-1_094082_2022-01-25_final
2022-01-29 10:37:04	ga_ls7e_ard_3-2-1_115078_2022-01-29_final
2022-02-07 08:47:31	ga_ls7e_ard_3-2-1_098069_2022-02-06_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_final
2022-03-08 08:21:20	ga_ls7e_ard_3-2-1_093088_2022-03-07_final
2022-03-18 08:49:25	ga_ls7e_ard_3-2-1_099068_2022-03-17_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years