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
1999-07-29 09:44:52	ga_ls7e_ard_3-0-0_095086_1999-07-29_final
1999-11-30 11:44:47	ga_ls7e_ard_3-1-0_115077_1999-11-30_final
2000-03-09 09:36:58	ga_ls7e_ard_3-0-0_095067_2000-03-09_final
2000-03-25 09:39:47	ga_ls7e_ard_3-0-0_095074_2000-03-25_final
2000-07-11 11:43:30	ga_ls7e_ard_3-1-0_115077_2000-07-11_final
2001-05-15 09:41:28	ga_ls7e_ard_3-0-0_095085_2001-05-15_final
2001-11-07 09:40:24	ga_ls7e_ard_3-0-0_095086_2001-11-07_final
2002-02-27 09:39:45	ga_ls7e_ard_3-0-0_095083_2002-02-27_final
2002-05-02 09:38:26	ga_ls7e_ard_3-0-0_095080_2002-05-02_final
2003-02-26 11:40:15	ga_ls7e_ard_3-0-0_115076_2003-02-26_final
2003-03-18 09:41:06	ga_ls7e_ard_3-0-0_095087_2003-03-18_final
2003-08-25 09:36:23	ga_ls7e_ard_3-0-0_095076_2003-08-25_final
2004-04-05 09:37:15	ga_ls7e_ard_3-0-0_095076_2004-04-05_final
2004-06-24 09:36:13	ga_ls7e_ard_3-0-0_095074_2004-06-24_final
2004-08-11 09:33:13	ga_ls7e_ard_3-0-0_095067_2004-08-11_final
2004-10-10 11:40:07	ga_ls7e_ard_3-0-0_115076_2004-10-10_final
2004-11-27 11:41:05	ga_ls7e_ard_3-1-0_115077_2004-11-27_final
2005-06-11 09:37:05	ga_ls7e_ard_3-0-0_095075_2005-06-11_final
2006-04-27 09:40:49	ga_ls7e_ard_3-0-0_095083_2006-04-27_final
2006-06-14 09:38:48	ga_ls7e_ard_3-0-0_095078_2006-06-14_final
2006-12-23 09:39:48	ga_ls7e_ard_3-0-0_095080_2006-12-23_final
2007-03-13 09:38:31	ga_ls7e_ard_3-0-0_095076_2007-03-13_final
2007-08-20 09:38:00	ga_ls7e_ard_3-0-0_095076_2007-08-20_final
2007-11-08 09:34:28	ga_ls7e_ard_3-0-0_095067_2007-11-08_final
2008-01-11 09:41:09	ga_ls7e_ard_3-0-0_095083_2008-01-11_final
2009-11-29 09:40:22	ga_ls7e_ard_3-0-0_095080_2009-11-29_final
2009-12-15 09:35:24	ga_ls7e_ard_3-0-0_095067_2009-12-15_final
2010-04-02 11:44:12	ga_ls7e_ard_3-1-0_115077_2010-04-02_final
2010-04-22 09:39:48	ga_ls7e_ard_3-0-0_095075_2010-04-22_final
2010-07-11 09:39:25	ga_ls7e_ard_3-0-0_095074_2010-07-11_final
2010-08-12 09:39:24	ga_ls7e_ard_3-0-0_095074_2010-08-12_final
2011-03-24 09:40:46	ga_ls7e_ard_3-0-0_095074_2011-03-24_final
2011-03-24 09:41:34	ga_ls7e_ard_3-0-0_095076_2011-03-24_final
2011-04-09 09:43:37	ga_ls7e_ard_3-0-0_095081_2011-04-09_final
2011-10-02 09:42:51	ga_ls7e_ard_3-0-0_095080_2011-10-02_final
2011-10-18 09:44:30	ga_ls7e_ard_3-0-0_095084_2011-10-18_final
2012-02-07 09:42:06	ga_ls7e_ard_3-0-0_095076_2012-02-07_final
2012-03-10 09:43:41	ga_ls7e_ard_3-0-0_095080_2012-03-10_final
2012-03-26 09:45:19	ga_ls7e_ard_3-0-0_095084_2012-03-26_final
2012-10-20 09:46:35	ga_ls7e_ard_3-0-0_095083_2012-10-20_final
2013-10-03 11:47:27	ga_ls7e_ard_3-0-0_115076_2013-10-03_final
2014-11-11 09:48:39	ga_ls7e_ard_3-0-0_095082_2014-11-11_final
2014-12-13 09:48:27	ga_ls7e_ard_3-0-0_095081_2014-12-13_final
2015-01-30 09:49:27	ga_ls7e_ard_3-0-0_095083_2015-01-30_final
2015-06-07 09:50:22	ga_ls7e_ard_3-0-0_095083_2015-06-07_final
2015-09-11 09:49:30	ga_ls7e_ard_3-0-0_095080_2015-09-11_final
2016-11-12 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-11-12_final
2016-12-18 09:50:01	ga_ls7e_ard_3-0-0_095075_2016-12-18_final
2017-06-28 09:51:03	ga_ls7e_ard_3-0-0_095077_2017-06-28_final
2018-08-18 09:48:07	ga_ls7e_ard_3-0-0_095080_2018-08-18_final
2018-10-21 09:44:16	ga_ls7e_ard_3-0-0_095074_2018-10-21_final
2019-01-21 11:46:36	ga_ls7e_ard_3-0-0_115077_2019-01-21_final
2019-02-10 09:43:35	ga_ls7e_ard_3-0-0_095080_2019-02-10_final
2019-04-15 09:43:29	ga_ls7e_ard_3-0-0_095085_2019-04-15_final
2019-05-13 11:43:38	ga_ls7e_ard_3-0-0_115079_2019-05-13_final
2019-06-30 11:40:40	ga_ls7e_ard_3-0-0_115076_2019-06-30_final
2020-05-03 09:25:03	ga_ls7e_ard_3-1-0_095083_2020-05-02_final
2021-02-08 09:00:46	ga_ls7e_ard_3-2-0_094084_2021-02-07_final
2021-02-10 08:46:40	ga_ls7e_ard_3-2-0_092080_2021-02-09_final
2021-02-17 10:30:48	ga_ls7e_ard_3-2-0_109079_2021-02-17_final
2021-02-22 09:11:41	ga_ls7e_ard_3-2-0_096083_2021-02-21_final
2021-02-24 08:59:10	ga_ls7e_ard_3-2-0_094083_2021-02-23_final
2021-02-25 09:38:22	ga_ls7e_ard_3-2-0_101073_2021-02-25_final
2021-02-26 10:20:45	ga_ls7e_ard_3-2-0_108071_2021-02-26_final
2021-03-17 10:53:21	ga_ls7e_ard_3-2-0_113079_2021-03-17_final
2021-04-04 09:01:03	ga_ls7e_ard_3-2-0_095080_2021-04-03_final
2021-04-08 08:35:12	ga_ls7e_ard_3-2-0_091078_2021-04-07_final
2021-04-10 10:02:45	ga_ls7e_ard_3-2-0_105081_2021-04-10_final
2021-04-22 10:22:04	ga_ls7e_ard_3-2-0_109070_2021-04-22_final
2021-04-25 09:16:13	ga_ls7e_ard_3-2-0_098076_2021-04-24_final
2021-05-08 10:20:43	ga_ls7e_ard_3-2-0_109070_2021-05-08_final
2021-05-12 09:58:28	ga_ls7e_ard_3-2-0_105077_2021-05-12_final
2021-05-22 08:59:48	ga_ls7e_ard_3-2-0_095087_2021-05-21_final
2021-05-29 09:01:23	ga_ls7e_ard_3-2-0_096077_2021-05-28_final
2021-06-14 10:41:45	ga_ls7e_ard_3-2-0_112084_2021-06-14_final
2021-06-23 08:53:33	ga_ls7e_ard_3-2-0_095078_2021-06-22_final
2021-06-25 10:21:06	ga_ls7e_ard_3-2-0_109081_2021-06-25_final
2021-06-28 10:50:57	ga_ls7e_ard_3-2-0_114079_2021-06-28_final
2021-07-04 10:14:10	ga_ls7e_ard_3-2-0_108081_2021-07-04_final
2021-07-16 10:36:16	ga_ls7e_ard_3-2-0_112077_2021-07-16_final
2021-08-17 08:56:34	ga_ls7e_ard_3-2-0_096082_2021-08-16_final
2021-08-24 10:40:38	ga_ls7e_ard_3-2-0_113081_2021-08-24_final
2021-08-30 10:01:50	ga_ls7e_ard_3-2-0_107078_2021-08-30_final
2021-09-05 09:22:15	ga_ls7e_ard_3-2-0_101073_2021-09-04_final
2021-09-15 08:23:33	ga_ls7e_ard_3-2-0_091083_2021-09-14_final
2021-09-19 09:33:22	ga_ls7e_ard_3-2-0_103073_2021-09-19_final
2021-10-06 08:40:37	ga_ls7e_ard_3-2-0_094084_2021-10-05_final
2021-10-10 08:14:45	ga_ls7e_ard_3-2-0_090082_2021-10-09_final
2021-10-15 10:07:20	ga_ls7e_ard_3-2-0_109071_2021-10-15_final
2021-10-24 10:03:32	ga_ls7e_ard_3-2-0_108079_2021-10-24_final
2021-10-31 10:09:52	ga_ls7e_ard_3-2-0_109081_2021-10-31_final
2021-11-14 10:18:29	ga_ls7e_ard_3-2-1_111075_2021-11-14_final
2021-12-09 08:34:15	ga_ls7e_ard_3-2-1_094083_2021-12-08_final
2021-12-18 10:00:54	ga_ls7e_ard_3-2-1_109070_2021-12-18_final
2021-12-23 10:22:56	ga_ls7e_ard_3-2-1_112080_2021-12-23_final
2022-03-01 09:53:07	ga_ls7e_ard_3-2-1_108084_2022-03-01_final
2022-03-06 10:07:35	ga_ls7e_ard_3-2-1_111075_2022-03-06_final
2022-03-21 09:21:38	ga_ls7e_ard_3-2-1_104072_2022-03-20_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-31 08:22:05	ga_ls7e_ard_3-2-1_094080_2022-03-30_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