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
2000-08-28 11:42:56	ga_ls7e_ard_3-1-0_115077_2000-08-28_final
2002-07-18 09:09:01	ga_ls7e_ard_3-1-0_090085_2002-07-17_final
2002-09-01 10:12:40	ga_ls7e_ard_3-1-0_101075_2002-09-01_final
2003-03-09 09:46:55	ga_ls7e_ard_3-1-0_096086_2003-03-09_final
2003-08-05 11:40:23	ga_ls7e_ard_3-1-0_115077_2003-08-05_final
2004-10-16 09:28:39	ga_ls7e_ard_3-1-0_093087_2004-10-15_final
2005-02-15 11:41:36	ga_ls7e_ard_3-1-0_115077_2005-02-15_final
2005-02-28 09:27:54	ga_ls7e_ard_3-1-0_094067_2005-02-27_final
2005-03-07 09:36:30	ga_ls7e_ard_3-1-0_095073_2005-03-07_final
2005-04-04 11:41:39	ga_ls7e_ard_3-1-0_115077_2005-04-04_final
2005-04-17 09:27:46	ga_ls7e_ard_3-1-0_094067_2005-04-16_final
2005-05-03 09:27:49	ga_ls7e_ard_3-1-0_094067_2005-05-02_final
2005-09-12 09:09:46	ga_ls7e_ard_3-1-0_090085_2005-09-11_final
2006-03-06 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-06_final
2006-11-17 11:41:57	ga_ls7e_ard_3-1-0_115077_2006-11-17_final
2006-12-19 10:04:54	ga_ls7e_ard_3-1-0_099081_2006-12-19_final
2006-12-19 10:06:06	ga_ls7e_ard_3-1-0_099084_2006-12-19_final
2007-12-07 10:45:51	ga_ls7e_ard_3-1-0_106075_2007-12-07_final
2007-12-30 09:17:37	ga_ls7e_ard_3-1-0_091086_2007-12-29_final
2009-02-05 09:47:58	ga_ls7e_ard_3-1-0_096086_2009-02-05_final
2009-04-26 11:26:39	ga_ls7e_ard_3-1-0_112084_2009-04-26_final
2009-12-24 11:10:16	ga_ls7e_ard_3-1-0_110072_2009-12-24_final
2010-03-21 09:38:58	ga_ls7e_ard_3-1-0_095073_2010-03-21_final
2010-06-22 09:11:39	ga_ls7e_ard_3-1-0_090082_2010-06-21_final
2011-04-15 10:46:12	ga_ls7e_ard_3-1-0_105083_2011-04-15_final
2011-08-02 10:14:21	ga_ls7e_ard_3-1-0_100081_2011-08-02_final
2011-10-11 09:31:27	ga_ls7e_ard_3-1-0_094067_2011-10-11_final
2012-01-15 11:13:08	ga_ls7e_ard_3-1-0_110072_2012-01-15_final
2012-11-05 09:42:38	ga_ls7e_ard_3-1-0_095073_2012-11-05_final
2012-11-30 09:34:13	ga_ls7e_ard_3-1-0_094067_2012-11-30_final
2012-12-18 11:04:03	ga_ls7e_ard_3-1-0_108075_2012-12-18_final
2013-06-21 09:22:54	ga_ls7e_ard_3-1-0_091086_2013-06-20_final
2014-06-06 09:37:26	ga_ls7e_ard_3-1-0_093087_2014-06-06_final
2014-12-31 09:38:31	ga_ls7e_ard_3-1-0_093087_2014-12-31_final
2015-05-24 09:39:29	ga_ls7e_ard_3-1-0_093087_2015-05-24_final
2015-09-22 11:06:18	ga_ls7e_ard_3-1-0_108071_2015-09-22_final
2015-12-02 09:40:57	ga_ls7e_ard_3-1-0_093087_2015-12-02_final
2016-01-10 09:39:47	ga_ls7e_ard_3-1-0_094067_2016-01-10_final
2016-07-11 09:49:21	ga_ls7e_ard_3-1-0_095073_2016-07-11_final
2016-07-15 09:31:02	ga_ls7e_ard_3-1-0_091089_2016-07-15_final
2016-10-24 11:21:49	ga_ls7e_ard_3-1-0_110072_2016-10-24_final
2017-07-09 11:10:36	ga_ls7e_ard_3-1-0_108075_2017-07-09_final
2017-08-12 09:23:18	ga_ls7e_ard_3-1-0_090085_2017-08-11_final
2017-12-30 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-12-30_final
2018-02-04 10:57:13	ga_ls7e_ard_3-1-0_106075_2018-02-04_final
2018-02-24 10:31:29	ga_ls7e_ard_3-1-0_102073_2018-02-24_final
2018-04-03 11:33:12	ga_ls7e_ard_3-1-0_112074_2018-04-03_final
2018-04-21 09:38:52	ga_ls7e_ard_3-1-0_094067_2018-04-21_final
2018-10-02 10:53:06	ga_ls7e_ard_3-1-0_106075_2018-10-02_final
2019-02-15 10:01:58	ga_ls7e_ard_3-1-0_098080_2019-02-15_final
2019-02-23 10:46:47	ga_ls7e_ard_3-1-0_106069_2019-02-23_final
2019-02-26 09:37:54	ga_ls7e_ard_3-1-0_095067_2019-02-26_final
2019-03-12 11:31:30	ga_ls7e_ard_3-1-0_113074_2019-03-12_final
2019-03-14 11:19:28	ga_ls7e_ard_3-1-0_111075_2019-03-14_final
2019-03-21 11:22:14	ga_ls7e_ard_3-1-0_112067_2019-03-21_final
2019-03-26 10:06:30	ga_ls7e_ard_3-1-0_099079_2019-03-26_final
2019-07-22 09:28:14	ga_ls7e_ard_3-1-0_093087_2019-07-21_final
2019-09-01 10:52:51	ga_ls7e_ard_3-1-0_108071_2019-09-01_final
2019-09-06 09:38:40	ga_ls7e_ard_3-1-0_095087_2019-09-06_final
2019-09-10 10:47:28	ga_ls7e_ard_3-1-0_107074_2019-09-10_final
2019-09-11 09:49:01	ga_ls7e_ard_3-1-0_098067_2019-09-11_final
2019-10-01 11:04:18	ga_ls7e_ard_3-1-0_110072_2019-10-01_final
2019-10-12 09:10:25	ga_ls7e_ard_3-1-0_091082_2019-10-11_final
2019-10-21 10:40:44	ga_ls7e_ard_3-1-0_106077_2019-10-21_final
2019-10-22 09:45:52	ga_ls7e_ard_3-1-0_097079_2019-10-22_final
2019-10-24 11:14:18	ga_ls7e_ard_3-1-0_111084_2019-10-24_final
2019-10-26 09:23:22	ga_ls7e_ard_3-1-0_093085_2019-10-25_final
2019-10-30 10:33:22	ga_ls7e_ard_3-1-0_105075_2019-10-30_final
2019-11-21 09:52:29	ga_ls7e_ard_3-1-0_099068_2019-11-21_final
2019-11-30 09:46:16	ga_ls7e_ard_3-1-0_098069_2019-11-30_final
2019-12-08 10:37:43	ga_ls7e_ard_3-1-0_106075_2019-12-08_final
2019-12-09 09:44:26	ga_ls7e_ard_3-1-0_097081_2019-12-09_final
2019-12-17 08:54:59	ga_ls7e_ard_3-1-0_089082_2019-12-16_final
2019-12-24 10:34:54	ga_ls7e_ard_3-1-0_106070_2019-12-24_final
2020-01-03 09:32:59	ga_ls7e_ard_3-1-0_096071_2020-01-03_final
2020-01-16 09:06:37	ga_ls7e_ard_3-1-0_091084_2020-01-15_final
2020-01-17 09:50:13	ga_ls7e_ard_3-1-0_098085_2020-01-17_final
2020-01-24 11:32:09	ga_ls7e_ard_3-1-0_115078_2020-01-24_final
2020-02-17 09:07:23	ga_ls7e_ard_3-1-0_091090_2020-02-16_final
2020-02-20 09:28:57	ga_ls7e_ard_3-1-0_096067_2020-02-19_final
2020-02-22 10:57:22	ga_ls7e_ard_3-1-0_110072_2020-02-22_final
2020-03-14 09:41:05	ga_ls7e_ard_3-1-0_097085_2020-03-14_final
2020-04-08 11:11:11	ga_ls7e_ard_3-1-0_112082_2020-04-08_final
2020-04-19 10:49:12	ga_ls7e_ard_3-1-0_109075_2020-04-19_final
2020-04-26 10:52:59	ga_ls7e_ard_3-1-0_110070_2020-04-26_final
2020-07-13 09:28:10	ga_ls7e_ard_3-1-0_096086_2020-07-12_final
2021-03-26 09:04:46	ga_ls7e_ard_3-2-0_096072_2021-03-25_final
2021-03-30 08:43:43	ga_ls7e_ard_3-2-0_092082_2021-03-29_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-07-15 08:17:49	ga_ls7e_ard_3-2-0_089086_2021-07-14_final
2021-07-22 08:19:48	ga_ls7e_ard_3-2-0_090077_2021-07-21_final
2021-07-22 08:24:59	ga_ls7e_ard_3-2-0_090090_2021-07-21_final
2021-07-23 09:03:46	ga_ls7e_ard_3-2-0_097079_2021-07-22_final
2021-10-01 09:57:24	ga_ls7e_ard_3-2-0_107074_2021-10-01_final
2021-10-18 08:59:05	ga_ls7e_ard_3-2-0_098071_2021-10-17_final
2021-10-22 10:14:53	ga_ls7e_ard_3-2-0_110076_2021-10-22_final
2021-12-04 09:55:03	ga_ls7e_ard_3-2-1_107083_2021-12-04_final
2022-03-28 09:25:58	ga_ls7e_ard_3-2-1_105069_2022-03-27_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_final
2022-04-03 08:52:17	ga_ls7e_ard_3-2-1_099079_2022-04-02_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