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
1999-07-25 11:44:50	ga_ls7e_ard_3-1-0_115077_1999-07-25_final
1999-08-14 11:18:34	ga_ls7e_ard_3-0-0_111073_1999-08-14_final
1999-08-14 11:22:33	ga_ls7e_ard_3-0-0_111083_1999-08-14_final
2000-11-16 11:42:20	ga_ls7e_ard_3-1-0_115077_2000-11-16_final
2001-04-20 11:22:46	ga_ls7e_ard_3-0-0_112075_2001-04-20_final
2001-04-25 11:42:04	ga_ls7e_ard_3-0-0_115077_2001-04-25_final
2001-06-12 11:41:37	ga_ls7e_ard_3-1-0_115077_2001-06-12_final
2001-10-22 11:13:11	ga_ls7e_ard_3-0-0_111071_2001-10-22_final
2004-02-13 11:40:19	ga_ls7e_ard_3-0-0_115075_2004-02-13_final
2004-05-23 11:18:51	ga_ls7e_ard_3-0-0_111083_2004-05-23_final
2004-09-12 11:14:20	ga_ls7e_ard_3-0-0_111073_2004-09-12_final
2004-10-10 11:40:31	ga_ls7e_ard_3-1-0_115077_2004-10-10_final
2004-10-14 11:18:16	ga_ls7e_ard_3-0-0_111083_2004-10-14_final
2005-01-18 11:15:29	ga_ls7e_ard_3-0-0_111074_2005-01-18_final
2005-03-07 09:41:17	ga_ls7e_ard_3-0-0_095085_2005-03-07_final
2005-06-10 08:56:13	ga_ls7e_ard_3-0-0_088081_2005-06-09_final
2005-06-27 11:15:29	ga_ls7e_ard_3-0-0_111074_2005-06-27_final
2005-09-15 09:40:39	ga_ls7e_ard_3-0-0_095085_2005-09-15_final
2005-12-04 11:19:16	ga_ls7e_ard_3-0-0_111083_2005-12-04_final
2006-08-01 11:15:46	ga_ls7e_ard_3-0-0_111074_2006-08-01_final
2006-08-13 11:42:05	ga_ls7e_ard_3-0-0_115078_2006-08-13_final
2006-10-16 11:41:30	ga_ls7e_ard_3-1-0_115077_2006-10-16_final
2007-06-13 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-06-13_final
2007-06-15 11:32:42	ga_ls7e_ard_3-0-0_113084_2007-06-15_final
2007-09-21 11:15:52	ga_ls7e_ard_3-0-0_111074_2007-09-21_final
2007-10-19 11:41:02	ga_ls7e_ard_3-0-0_115075_2007-10-19_final
2008-01-27 11:16:49	ga_ls7e_ard_3-0-0_111075_2008-01-27_final
2008-02-28 11:16:18	ga_ls7e_ard_3-0-0_111074_2008-02-28_final
2008-08-27 11:35:18	ga_ls7e_ard_3-0-0_114078_2008-08-27_final
2008-09-23 11:13:43	ga_ls7e_ard_3-0-0_111071_2008-09-23_final
2008-11-26 11:15:46	ga_ls7e_ard_3-0-0_111075_2008-11-26_final
2009-01-13 11:15:46	ga_ls7e_ard_3-0-0_111074_2009-01-13_final
2009-08-25 11:15:52	ga_ls7e_ard_3-0-0_111073_2009-08-25_final
2010-01-14 11:30:45	ga_ls7e_ard_3-0-0_113076_2010-01-14_final
2010-03-21 09:44:33	ga_ls7e_ard_3-0-0_095087_2010-03-21_final
2010-05-08 11:17:51	ga_ls7e_ard_3-0-0_111073_2010-05-08_final
2010-12-23 11:38:54	ga_ls7e_ard_3-0-0_114077_2010-12-23_final
2011-05-25 11:35:37	ga_ls7e_ard_3-0-0_113083_2011-05-25_final
2011-07-30 11:18:22	ga_ls7e_ard_3-0-0_111071_2011-07-30_final
2011-11-17 11:32:26	ga_ls7e_ard_3-0-0_113075_2011-11-17_final
2012-06-28 11:35:45	ga_ls7e_ard_3-0-0_113081_2012-06-28_final
2012-06-30 09:40:58	ga_ls7e_ard_3-0-0_095072_2012-06-30_final
2013-11-08 11:22:38	ga_ls7e_ard_3-0-0_111075_2013-11-08_final
2013-12-08 11:35:12	ga_ls7e_ard_3-0-0_113075_2013-12-08_final
2013-12-10 11:22:50	ga_ls7e_ard_3-0-0_111075_2013-12-10_final
2014-06-27 11:32:56	ga_ls7e_ard_3-0-0_112082_2014-06-27_final
2014-07-20 11:38:23	ga_ls7e_ard_3-0-0_113080_2014-07-20_final
2015-05-06 11:29:01	ga_ls7e_ard_3-0-0_111083_2015-05-06_final
2015-05-20 11:41:54	ga_ls7e_ard_3-0-0_113084_2015-05-20_final
2015-06-21 11:40:27	ga_ls7e_ard_3-0-0_113080_2015-06-21_final
2015-09-09 11:42:20	ga_ls7e_ard_3-0-0_113084_2015-09-09_final
2016-02-18 11:27:10	ga_ls7e_ard_3-0-0_111072_2016-02-18_final
2016-07-25 11:45:02	ga_ls7e_ard_3-0-0_113084_2016-07-25_final
2016-08-03 11:38:04	ga_ls7e_ard_3-0-0_112082_2016-08-03_final
2016-08-26 11:45:06	ga_ls7e_ard_3-0-0_113084_2016-08-26_final
2016-09-29 11:32:26	ga_ls7e_ard_3-0-0_111083_2016-09-29_final
2016-11-16 11:29:01	ga_ls7e_ard_3-0-0_111075_2016-11-16_final
2016-12-02 11:28:59	ga_ls7e_ard_3-0-0_111075_2016-12-02_final
2016-12-18 09:49:13	ga_ls7e_ard_3-1-0_095073_2016-12-18_final
2017-12-03 11:43:43	ga_ls7e_ard_3-0-0_113081_2017-12-03_final
2017-12-21 11:28:47	ga_ls7e_ard_3-0-0_111075_2017-12-21_final
2018-07-01 11:29:04	ga_ls7e_ard_3-0-0_111083_2018-07-01_final
2018-08-02 11:28:29	ga_ls7e_ard_3-0-0_111083_2018-08-02_final
2018-09-01 11:40:40	ga_ls7e_ard_3-0-0_113084_2018-09-01_final
2018-12-22 11:34:22	ga_ls7e_ard_3-0-0_113075_2018-12-22_final
2019-02-10 11:20:04	ga_ls7e_ard_3-0-0_111074_2019-02-10_final
2019-04-13 11:34:23	ga_ls7e_ard_3-0-0_113084_2019-04-13_final
2019-09-20 11:28:06	ga_ls7e_ard_3-1-0_113084_2019-09-20_final
2020-10-26 10:52:56	ga_ls7e_ard_3-1-0_111083_2020-10-26_final
2021-02-20 09:18:36	ga_ls7e_ard_3-2-0_098069_2021-02-19_final
2021-03-02 09:56:31	ga_ls7e_ard_3-2-0_104073_2021-03-02_final
2021-03-07 08:42:10	ga_ls7e_ard_3-2-0_091089_2021-03-06_final
2021-03-07 08:42:34	ga_ls7e_ard_3-2-0_091090_2021-03-06_final
2021-03-24 09:20:29	ga_ls7e_ard_3-2-0_098080_2021-03-23_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-04-06 10:23:24	ga_ls7e_ard_3-2-0_109070_2021-04-06_final
2021-04-16 09:23:34	ga_ls7e_ard_3-2-0_099077_2021-04-15_final
2021-04-28 09:44:52	ga_ls7e_ard_3-2-0_103071_2021-04-28_final
2021-05-04 09:10:05	ga_ls7e_ard_3-2-0_097078_2021-05-03_final
2021-05-18 09:22:04	ga_ls7e_ard_3-2-0_099080_2021-05-17_final
2021-06-07 10:30:57	ga_ls7e_ard_3-2-0_111071_2021-06-07_final
2021-06-16 10:23:38	ga_ls7e_ard_3-2-0_110070_2021-06-16_final
2021-06-20 10:00:35	ga_ls7e_ard_3-2-0_106075_2021-06-20_final
2021-06-24 09:38:20	ga_ls7e_ard_3-2-0_102082_2021-06-24_final
2021-07-13 10:04:50	ga_ls7e_ard_3-2-0_107075_2021-07-13_final
2021-07-17 09:38:58	ga_ls7e_ard_3-2-0_103073_2021-07-17_final
2021-07-30 09:05:21	ga_ls7e_ard_3-2-0_098069_2021-07-29_final
2021-08-06 09:16:06	ga_ls7e_ard_3-2-0_099082_2021-08-05_final
2021-09-08 08:20:47	ga_ls7e_ard_3-2-0_090090_2021-09-07_final
2021-09-23 09:10:17	ga_ls7e_ard_3-2-0_099078_2021-09-22_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-11 09:56:59	ga_ls7e_ard_3-2-1_108074_2021-12-11_final
2021-12-16 08:35:22	ga_ls7e_ard_3-2-1_095072_2021-12-15_final
2021-12-20 08:14:15	ga_ls7e_ard_3-2-1_091082_2021-12-19_final
2022-01-03 09:59:17	ga_ls7e_ard_3-2-1_109070_2022-01-03_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-12 07:51:49	ga_ls7e_ard_3-2-1_089077_2022-03-11_final
2022-03-12 07:52:13	ga_ls7e_ard_3-2-1_089078_2022-03-11_final
2022-03-13 08:32:11	ga_ls7e_ard_3-2-1_096070_2022-03-12_final
2022-03-19 09:35:46	ga_ls7e_ard_3-2-1_106076_2022-03-19_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