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
1999-10-01 09:39:50	ga_ls7e_ard_3-1-0_095073_1999-10-01_final
1999-10-13 11:44:13	ga_ls7e_ard_3-0-0_115075_1999-10-13_final
2000-05-28 09:38:45	ga_ls7e_ard_3-1-0_095073_2000-05-28_final
2000-10-03 09:36:50	ga_ls7e_ard_3-0-0_095072_2000-10-03_final
2001-11-03 11:40:21	ga_ls7e_ard_3-1-0_115077_2001-11-03_final
2002-08-21 08:55:15	ga_ls7e_ard_3-0-0_088082_2002-08-20_final
2002-12-28 09:32:45	ga_ls7e_ard_3-0-0_095067_2002-12-28_final
2003-03-30 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-03-30_final
2003-04-03 09:35:08	ga_ls7e_ard_3-0-0_095072_2003-04-03_final
2003-08-25 09:34:47	ga_ls7e_ard_3-0-0_095072_2003-08-25_final
2004-03-16 11:40:04	ga_ls7e_ard_3-0-0_115074_2004-03-16_final
2004-04-26 11:36:10	ga_ls7e_ard_3-0-0_114080_2004-04-26_final
2004-09-08 11:39:54	ga_ls7e_ard_3-0-0_115075_2004-09-08_final
2004-12-29 11:40:32	ga_ls7e_ard_3-0-0_115075_2004-12-29_final
2005-02-19 09:36:26	ga_ls7e_ard_3-1-0_095073_2005-02-19_final
2005-03-03 11:40:29	ga_ls7e_ard_3-0-0_115074_2005-03-03_final
2005-03-23 09:36:06	ga_ls7e_ard_3-0-0_095072_2005-03-23_final
2005-06-11 09:39:04	ga_ls7e_ard_3-0-0_095080_2005-06-11_final
2005-07-25 11:40:13	ga_ls7e_ard_3-0-0_115074_2005-07-25_final
2005-08-10 11:41:22	ga_ls7e_ard_3-1-0_115077_2005-08-10_final
2005-08-26 11:41:15	ga_ls7e_ard_3-1-0_115077_2005-08-26_final
2005-10-01 09:35:28	ga_ls7e_ard_3-0-0_095072_2005-10-01_final
2006-02-18 11:42:28	ga_ls7e_ard_3-0-0_115078_2006-02-18_final
2006-03-06 11:42:30	ga_ls7e_ard_3-0-0_115078_2006-03-06_final
2006-04-23 11:41:13	ga_ls7e_ard_3-0-0_115075_2006-04-23_final
2006-05-29 09:36:28	ga_ls7e_ard_3-0-0_095072_2006-05-29_final
2006-08-29 11:40:26	ga_ls7e_ard_3-0-0_115074_2006-08-29_final
2006-08-29 11:40:50	ga_ls7e_ard_3-0-0_115075_2006-08-29_final
2006-09-30 11:40:38	ga_ls7e_ard_3-0-0_115075_2006-09-30_final
2006-12-03 11:41:18	ga_ls7e_ard_3-0-0_115075_2006-12-03_final
2007-07-15 11:41:24	ga_ls7e_ard_3-0-0_115075_2007-07-15_final
2007-10-23 09:36:41	ga_ls7e_ard_3-1-0_095073_2007-10-23_final
2008-05-18 09:42:22	ga_ls7e_ard_3-0-0_095087_2008-05-18_final
2009-05-05 09:37:37	ga_ls7e_ard_3-0-0_095074_2009-05-05_final
2009-06-05 08:57:10	ga_ls7e_ard_3-0-0_088081_2009-06-04_final
2010-05-24 09:41:43	ga_ls7e_ard_3-0-0_095080_2010-05-24_final
2010-07-27 09:42:13	ga_ls7e_ard_3-0-0_095081_2010-07-27_final
2012-01-18 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-18_final
2012-05-12 09:01:49	ga_ls7e_ard_3-0-0_088082_2012-05-11_final
2012-10-04 09:42:01	ga_ls7e_ard_3-0-0_095072_2012-10-04_final
2013-07-19 09:42:34	ga_ls7e_ard_3-0-0_095074_2013-07-19_final
2013-08-16 11:47:42	ga_ls7e_ard_3-0-0_115078_2013-08-16_final
2013-11-07 09:03:16	ga_ls7e_ard_3-0-0_088082_2013-11-06_final
2013-12-09 09:03:29	ga_ls7e_ard_3-0-0_088082_2013-12-08_final
2014-03-16 09:48:04	ga_ls7e_ard_3-0-0_095084_2014-03-16_final
2014-04-06 11:42:00	ga_ls7e_ard_3-0-0_114075_2014-04-06_final
2014-10-26 09:49:18	ga_ls7e_ard_3-0-0_095084_2014-10-26_final
2015-06-19 11:52:25	ga_ls7e_ard_3-0-0_115079_2015-06-19_final
2016-07-07 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-07-07_final
2016-10-27 11:55:30	ga_ls7e_ard_3-0-0_115079_2016-10-27_final
2016-11-05 11:47:39	ga_ls7e_ard_3-0-0_114075_2016-11-05_final
2016-11-16 09:54:31	ga_ls7e_ard_3-0-0_095086_2016-11-16_final
2017-07-30 09:55:02	ga_ls7e_ard_3-0-0_095087_2017-07-30_final
2017-08-27 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-27_final
2018-03-07 11:52:54	ga_ls7e_ard_3-0-0_115076_2018-03-07_final
2018-12-20 11:46:47	ga_ls7e_ard_3-0-0_115075_2018-12-20_final
2019-05-17 09:37:28	ga_ls7e_ard_3-1-0_095073_2019-05-17_final
2019-10-08 09:37:18	ga_ls7e_ard_3-1-0_095087_2019-10-08_final
2019-11-21 11:35:21	ga_ls7e_ard_3-1-0_115078_2019-11-21_final
2020-01-17 11:27:31	ga_ls7e_ard_3-1-0_114081_2020-01-17_final
2020-09-04 11:19:03	ga_ls7e_ard_3-1-0_115078_2020-09-04_final
2021-02-24 08:55:35	ga_ls7e_ard_3-2-0_094074_2021-02-23_final
2021-02-25 09:42:21	ga_ls7e_ard_3-2-0_101083_2021-02-25_final
2021-03-11 09:48:50	ga_ls7e_ard_3-2-0_103071_2021-03-11_final
2021-03-18 09:55:15	ga_ls7e_ard_3-2-0_104073_2021-03-18_final
2021-03-23 08:41:18	ga_ls7e_ard_3-2-0_091090_2021-03-22_final
2021-03-30 08:45:43	ga_ls7e_ard_3-2-0_092087_2021-03-29_final
2021-03-31 09:27:17	ga_ls7e_ard_3-2-0_099083_2021-03-30_final
2021-04-09 10:55:39	ga_ls7e_ard_3-2-0_114074_2021-04-09_final
2021-04-23 09:31:57	ga_ls7e_ard_3-2-0_100084_2021-04-23_final
2021-04-25 09:19:25	ga_ls7e_ard_3-2-0_098084_2021-04-24_final
2021-04-26 09:56:36	ga_ls7e_ard_3-2-0_105069_2021-04-26_final
2021-05-12 08:22:22	ga_ls7e_ard_3-2-0_089084_2021-05-11_final
2021-06-05 09:09:46	ga_ls7e_ard_3-2-0_097084_2021-06-04_final
2021-06-19 09:14:37	ga_ls7e_ard_3-2-0_099068_2021-06-18_final
2021-06-25 10:18:42	ga_ls7e_ard_3-2-0_109075_2021-06-25_final
2021-06-25 10:19:06	ga_ls7e_ard_3-2-0_109076_2021-06-25_final
2021-06-27 10:09:22	ga_ls7e_ard_3-2-0_107083_2021-06-27_final
2021-07-13 10:02:50	ga_ls7e_ard_3-2-0_107070_2021-07-13_final
2021-08-21 08:28:43	ga_ls7e_ard_3-2-0_092075_2021-08-20_final
2021-09-29 08:31:27	ga_ls7e_ard_3-2-0_093075_2021-09-28_final
2021-10-22 10:17:40	ga_ls7e_ard_3-2-0_110083_2021-10-22_final
2021-10-29 08:44:20	ga_ls7e_ard_3-2-0_095083_2021-10-28_final
2021-11-11 09:46:17	ga_ls7e_ard_3-2-0_106071_2021-11-11_final
2021-11-20 09:41:13	ga_ls7e_ard_3-2-1_105076_2021-11-20_final
2021-12-29 09:43:15	ga_ls7e_ard_3-2-1_106075_2021-12-29_final
2021-12-31 09:27:54	ga_ls7e_ard_3-2-1_104068_2021-12-30_final
2022-01-15 08:44:00	ga_ls7e_ard_3-2-1_097070_2022-01-14_final
2022-01-15 10:24:52	ga_ls7e_ard_3-2-1_113075_2022-01-15_final
2022-01-25 09:19:43	ga_ls7e_ard_3-2-1_103069_2022-01-24_final
2022-01-29 10:35:52	ga_ls7e_ard_3-2-1_115075_2022-01-29_final
2022-01-31 08:48:26	ga_ls7e_ard_3-2-1_097085_2022-01-30_final
2022-01-31 10:26:30	ga_ls7e_ard_3-2-1_113083_2022-01-31_final
2022-02-03 09:15:02	ga_ls7e_ard_3-2-1_102075_2022-02-02_final
2022-02-04 09:58:35	ga_ls7e_ard_3-2-1_109076_2022-02-04_final
2022-02-08 07:56:11	ga_ls7e_ard_3-2-1_089080_2022-02-07_final
2022-02-09 10:16:13	ga_ls7e_ard_3-2-1_112075_2022-02-09_final
2022-02-24 09:31:04	ga_ls7e_ard_3-2-1_105074_2022-02-24_final
2022-03-09 08:57:43	ga_ls7e_ard_3-2-1_100071_2022-03-08_final
2022-03-19 08:01:41	ga_ls7e_ard_3-2-1_090088_2022-03-18_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