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
1999-07-09 11:44:47	ga_ls7e_ard_3-0-0_115077_1999-07-09_final
2000-01-05 09:37:14	ga_ls7e_ard_3-0-0_095067_2000-01-05_final
2000-03-05 11:43:49	ga_ls7e_ard_3-0-0_115075_2000-03-05_final
2002-02-07 11:40:53	ga_ls7e_ard_3-1-0_115077_2002-02-07_final
2002-03-15 09:40:27	ga_ls7e_ard_3-0-0_095085_2002-03-15_final
2002-03-31 09:40:23	ga_ls7e_ard_3-0-0_095085_2002-03-31_final
2002-12-28 09:35:57	ga_ls7e_ard_3-0-0_095075_2002-12-28_final
2003-10-12 09:39:17	ga_ls7e_ard_3-0-0_095084_2003-10-12_final
2004-02-29 11:40:44	ga_ls7e_ard_3-0-0_115076_2004-02-29_final
2004-05-03 11:41:11	ga_ls7e_ard_3-0-0_115077_2004-05-03_final
2004-06-20 11:41:01	ga_ls7e_ard_3-0-0_115077_2004-06-20_final
2004-08-11 09:35:36	ga_ls7e_ard_3-1-0_095073_2004-08-11_final
2004-10-14 09:39:46	ga_ls7e_ard_3-0-0_095084_2004-10-14_final
2004-10-26 11:40:47	ga_ls7e_ard_3-1-0_115077_2004-10-26_final
2006-12-07 09:42:07	ga_ls7e_ard_3-0-0_095086_2006-12-07_final
2006-12-19 11:41:47	ga_ls7e_ard_3-0-0_115076_2006-12-19_final
2007-01-08 09:40:13	ga_ls7e_ard_3-0-0_095081_2007-01-08_final
2007-04-30 09:40:51	ga_ls7e_ard_3-0-0_095082_2007-04-30_final
2007-11-20 11:41:46	ga_ls7e_ard_3-0-0_115076_2007-11-20_final
2008-01-07 11:41:10	ga_ls7e_ard_3-0-0_115074_2008-01-07_final
2008-02-01 11:37:21	ga_ls7e_ard_3-0-0_114080_2008-02-01_final
2008-02-28 09:41:48	ga_ls7e_ard_3-0-0_095085_2008-02-28_final
2008-04-16 09:40:55	ga_ls7e_ard_3-0-0_095083_2008-04-16_final
2008-08-06 09:40:25	ga_ls7e_ard_3-0-0_095084_2008-08-06_final
2008-09-23 09:41:13	ga_ls7e_ard_3-0-0_095087_2008-09-23_final
2008-10-25 09:41:14	ga_ls7e_ard_3-0-0_095087_2008-10-25_final
2008-12-28 09:36:48	ga_ls7e_ard_3-0-0_095074_2008-12-28_final
2009-02-26 11:42:01	ga_ls7e_ard_3-1-0_115077_2009-02-26_final
2009-11-13 09:40:59	ga_ls7e_ard_3-0-0_095082_2009-11-13_final
2010-07-11 09:39:49	ga_ls7e_ard_3-0-0_095075_2010-07-11_final
2010-12-02 09:44:06	ga_ls7e_ard_3-0-0_095084_2010-12-02_final
2011-01-19 09:44:31	ga_ls7e_ard_3-0-0_095084_2011-01-19_final
2011-06-08 11:45:12	ga_ls7e_ard_3-0-0_115076_2011-06-08_final
2011-08-27 11:44:35	ga_ls7e_ard_3-0-0_115075_2011-08-27_final
2013-09-21 09:42:30	ga_ls7e_ard_3-1-0_095073_2013-09-21_final
2013-12-15 11:42:57	ga_ls7e_ard_3-0-0_114079_2013-12-15_final
2013-12-22 11:48:22	ga_ls7e_ard_3-1-0_115077_2013-12-22_final
2014-10-10 09:48:21	ga_ls7e_ard_3-0-0_095082_2014-10-10_final
2015-07-25 09:49:45	ga_ls7e_ard_3-0-0_095081_2015-07-25_final
2015-10-13 09:48:09	ga_ls7e_ard_3-0-0_095076_2015-10-13_final
2016-02-18 09:49:05	ga_ls7e_ard_3-0-0_095074_2016-02-18_final
2017-08-31 09:54:12	ga_ls7e_ard_3-0-0_095085_2017-08-31_final
2017-10-02 09:53:23	ga_ls7e_ard_3-0-0_095083_2017-10-02_final
2017-11-19 09:54:34	ga_ls7e_ard_3-0-0_095086_2017-11-19_final
2018-01-06 09:52:54	ga_ls7e_ard_3-0-0_095083_2018-01-06_final
2018-03-27 09:50:38	ga_ls7e_ard_3-0-0_095080_2018-03-27_final
2018-07-17 09:49:29	ga_ls7e_ard_3-0-0_095082_2018-07-17_final
2018-07-17 09:49:53	ga_ls7e_ard_3-0-0_095083_2018-07-17_final
2018-09-03 09:48:35	ga_ls7e_ard_3-0-0_095082_2018-09-03_final
2018-11-06 09:43:55	ga_ls7e_ard_3-0-0_095074_2018-11-06_final
2018-12-24 09:43:04	ga_ls7e_ard_3-0-0_095075_2018-12-24_final
2019-07-04 09:39:18	ga_ls7e_ard_3-0-0_095082_2019-07-04_final
2019-10-24 09:31:26	ga_ls7e_ard_3-1-0_095074_2019-10-24_final
2019-11-21 11:34:57	ga_ls7e_ard_3-1-0_115077_2019-11-21_final
2020-01-12 09:30:20	ga_ls7e_ard_3-1-0_095081_2020-01-12_final
2020-05-03 09:24:39	ga_ls7e_ard_3-1-0_095082_2020-05-02_final
2020-10-22 11:15:08	ga_ls7e_ard_3-1-0_115076_2020-10-22_final
2021-01-30 09:06:49	ga_ls7e_ard_3-2-0_095082_2021-01-29_final
2021-02-27 11:05:55	ga_ls7e_ard_3-2-0_115076_2021-02-27_final
2021-02-28 10:08:38	ga_ls7e_ard_3-2-0_106072_2021-02-28_final
2021-03-05 08:49:06	ga_ls7e_ard_3-2-0_093075_2021-03-04_final
2021-03-25 10:04:51	ga_ls7e_ard_3-2-0_105083_2021-03-25_final
2021-03-26 09:05:58	ga_ls7e_ard_3-2-0_096075_2021-03-25_final
2021-03-27 09:51:56	ga_ls7e_ard_3-2-0_103082_2021-03-27_final
2021-03-28 10:31:31	ga_ls7e_ard_3-2-0_110073_2021-03-28_final
2021-04-06 10:24:12	ga_ls7e_ard_3-2-0_109072_2021-04-06_final
2021-04-09 09:18:46	ga_ls7e_ard_3-2-0_098079_2021-04-08_final
2021-04-17 10:04:45	ga_ls7e_ard_3-2-0_106072_2021-04-17_final
2021-05-17 08:39:18	ga_ls7e_ard_3-2-0_092081_2021-05-16_final
2021-05-20 09:06:45	ga_ls7e_ard_3-2-0_097073_2021-05-19_final
2021-05-20 09:07:09	ga_ls7e_ard_3-2-0_097074_2021-05-19_final
2021-05-20 10:48:01	ga_ls7e_ard_3-2-0_113079_2021-05-20_final
2021-05-30 09:41:22	ga_ls7e_ard_3-2-0_103069_2021-05-30_final
2021-06-16 08:47:57	ga_ls7e_ard_3-2-0_094078_2021-06-15_final
2021-07-27 10:19:10	ga_ls7e_ard_3-2-0_109083_2021-07-27_final
2021-08-19 10:22:31	ga_ls7e_ard_3-2-0_110081_2021-08-19_final
2021-08-22 10:51:34	ga_ls7e_ard_3-2-0_115077_2021-08-22_final
2021-09-19 09:32:34	ga_ls7e_ard_3-2-0_103071_2021-09-19_final
2021-09-27 08:48:47	ga_ls7e_ard_3-2-0_095087_2021-09-26_final
2021-10-09 09:08:04	ga_ls7e_ard_3-2-0_099076_2021-10-08_final
2021-10-17 08:19:31	ga_ls7e_ard_3-2-0_091080_2021-10-16_final
2021-10-24 10:03:56	ga_ls7e_ard_3-2-0_108080_2021-10-24_final
2021-10-26 09:47:00	ga_ls7e_ard_3-2-0_106069_2021-10-26_final
2021-11-02 08:19:14	ga_ls7e_ard_3-2-0_091083_2021-11-01_final
2021-11-19 08:59:39	ga_ls7e_ard_3-2-1_098080_2021-11-18_final
2021-11-22 09:25:52	ga_ls7e_ard_3-2-1_103069_2021-11-21_final
2021-12-06 09:40:31	ga_ls7e_ard_3-2-1_105078_2021-12-06_final
2021-12-07 08:42:00	ga_ls7e_ard_3-2-1_096071_2021-12-06_final
2021-12-16 10:15:26	ga_ls7e_ard_3-2-1_111075_2021-12-16_final
2021-12-25 10:07:59	ga_ls7e_ard_3-2-1_110074_2021-12-25_final
2022-01-06 10:32:17	ga_ls7e_ard_3-2-1_114076_2022-01-06_final
2022-01-14 08:04:49	ga_ls7e_ard_3-2-1_090080_2022-01-13_final
2022-01-15 08:49:59	ga_ls7e_ard_3-2-1_097085_2022-01-14_final
2022-01-25 09:23:42	ga_ls7e_ard_3-2-1_103079_2022-01-24_final
2022-02-06 09:49:13	ga_ls7e_ard_3-2-1_107084_2022-02-06_final
2022-02-10 09:22:29	ga_ls7e_ard_3-2-1_103080_2022-02-09_final
2022-02-11 10:06:50	ga_ls7e_ard_3-2-1_110083_2022-02-11_final
2022-02-12 09:07:08	ga_ls7e_ard_3-2-1_101073_2022-02-11_final
2022-02-16 08:45:59	ga_ls7e_ard_3-2-1_097083_2022-02-15_final
2022-03-04 08:42:51	ga_ls7e_ard_3-2-1_097079_2022-03-03_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