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
2000-12-11 11:37:24	ga_ls7e_ard_3-0-0_114080_2000-12-11_final
2002-02-23 11:39:42	ga_ls7e_ard_3-0-0_115074_2002-02-23_final
2002-06-08 11:34:48	ga_ls7e_ard_3-0-0_114078_2002-06-08_final
2002-07-10 11:35:01	ga_ls7e_ard_3-1-0_114079_2002-07-10_final
2002-09-03 11:39:36	ga_ls7e_ard_3-0-0_115076_2002-09-03_final
2003-01-25 11:39:42	ga_ls7e_ard_3-0-0_115075_2003-01-25_final
2004-02-06 11:34:56	ga_ls7e_ard_3-0-0_114077_2004-02-06_final
2004-02-15 11:30:21	ga_ls7e_ard_3-0-0_113081_2004-02-15_final
2004-11-27 11:40:41	ga_ls7e_ard_3-0-0_115076_2004-11-27_final
2005-05-22 11:41:12	ga_ls7e_ard_3-0-0_115076_2005-05-22_final
2006-11-03 11:30:13	ga_ls7e_ard_3-0-0_113079_2006-11-03_final
2007-02-14 11:37:03	ga_ls7e_ard_3-0-0_114079_2007-02-14_final
2007-05-14 11:32:01	ga_ls7e_ard_3-0-0_113082_2007-05-14_final
2007-08-09 11:36:42	ga_ls7e_ard_3-0-0_114079_2007-08-09_final
2008-01-25 11:30:47	ga_ls7e_ard_3-0-0_113079_2008-01-25_final
2008-03-20 11:35:58	ga_ls7e_ard_3-0-0_114077_2008-03-20_final
2008-06-01 11:32:18	ga_ls7e_ard_3-0-0_113084_2008-06-01_final
2009-01-02 11:36:14	ga_ls7e_ard_3-0-0_114079_2009-01-02_final
2009-02-12 11:30:19	ga_ls7e_ard_3-0-0_113079_2009-02-12_final
2010-02-06 11:36:50	ga_ls7e_ard_3-0-0_114075_2010-02-06_final
2010-04-27 11:38:25	ga_ls7e_ard_3-0-0_114078_2010-04-27_final
2010-08-01 11:38:26	ga_ls7e_ard_3-0-0_114078_2010-08-01_final
2010-10-04 11:38:04	ga_ls7e_ard_3-0-0_114077_2010-10-04_final
2011-01-08 11:39:52	ga_ls7e_ard_3-0-0_114079_2011-01-08_final
2011-03-22 11:35:59	ga_ls7e_ard_3-0-0_113084_2011-03-22_final
2012-08-29 11:48:03	ga_ls7e_ard_3-0-0_115079_2012-08-29_final
2013-01-29 11:41:14	ga_ls7e_ard_3-0-0_114075_2013-01-29_final
2013-02-23 11:36:36	ga_ls7e_ard_3-0-0_113079_2013-02-23_final
2013-05-05 11:42:55	ga_ls7e_ard_3-0-0_114080_2013-05-05_final
2013-07-24 11:41:09	ga_ls7e_ard_3-0-0_114077_2013-07-24_final
2014-05-24 11:41:59	ga_ls7e_ard_3-0-0_114074_2014-05-24_final
2014-12-18 11:45:08	ga_ls7e_ard_3-0-0_114079_2014-12-18_final
2015-10-27 11:40:50	ga_ls7e_ard_3-0-0_113079_2015-10-27_final
2016-03-26 11:48:22	ga_ls7e_ard_3-0-0_114078_2016-03-26_final
2016-05-06 11:43:38	ga_ls7e_ard_3-0-0_113081_2016-05-06_final
2016-06-14 11:48:22	ga_ls7e_ard_3-1-0_114077_2016-06-14_final
2016-07-16 11:47:35	ga_ls7e_ard_3-0-0_114075_2016-07-16_final
2017-03-29 11:48:27	ga_ls7e_ard_3-0-0_114078_2017-03-29_final
2017-08-20 11:48:02	ga_ls7e_ard_3-0-0_114076_2017-08-20_final
2017-08-29 11:44:39	ga_ls7e_ard_3-0-0_113083_2017-08-29_final
2018-02-12 11:48:34	ga_ls7e_ard_3-0-0_114080_2018-02-12_final
2018-02-19 11:53:29	ga_ls7e_ard_3-1-0_115077_2018-02-19_final
2018-05-19 11:45:11	ga_ls7e_ard_3-0-0_114075_2018-05-19_final
2018-06-29 11:40:41	ga_ls7e_ard_3-0-0_113081_2018-06-29_final
2018-08-16 11:39:47	ga_ls7e_ard_3-0-0_113081_2018-08-16_final
2018-09-08 11:43:06	ga_ls7e_ard_3-0-0_114075_2018-09-08_final
2019-04-13 11:33:36	ga_ls7e_ard_3-0-0_113082_2019-04-13_final
2020-01-01 11:26:43	ga_ls7e_ard_3-1-0_114077_2020-01-01_final
2020-10-15 11:10:12	ga_ls7e_ard_3-1-0_114078_2020-10-15_final
2020-12-05 09:57:06	ga_ls7e_ard_3-1-0_103074_2020-12-05_final
2020-12-05 09:58:18	ga_ls7e_ard_3-1-0_103077_2020-12-05_final
2020-12-15 08:54:33	ga_ls7e_ard_3-1-0_093074_2020-12-14_final
2020-12-15 10:32:38	ga_ls7e_ard_3-1-0_109072_2020-12-15_final
2020-12-24 10:30:34	ga_ls7e_ard_3-1-0_108084_2020-12-24_final
2021-01-31 09:46:01	ga_ls7e_ard_3-2-0_102072_2021-01-31_final
2021-02-08 10:36:52	ga_ls7e_ard_3-2-0_110077_2021-02-08_final
2021-02-28 10:11:01	ga_ls7e_ard_3-2-0_106078_2021-02-28_final
2021-03-01 09:14:32	ga_ls7e_ard_3-2-0_097076_2021-02-28_final
2021-03-14 10:22:41	ga_ls7e_ard_3-2-0_108079_2021-03-14_final
2021-04-10 09:59:09	ga_ls7e_ard_3-2-0_105072_2021-04-10_final
2021-04-11 09:03:03	ga_ls7e_ard_3-2-0_096071_2021-04-10_final
2021-04-13 08:54:31	ga_ls7e_ard_3-2-0_094081_2021-04-12_final
2021-04-15 08:43:11	ga_ls7e_ard_3-2-0_092084_2021-04-14_final
2021-04-15 10:20:52	ga_ls7e_ard_3-2-0_108081_2021-04-15_final
2021-04-22 10:26:51	ga_ls7e_ard_3-2-0_109082_2021-04-22_final
2021-04-27 10:45:22	ga_ls7e_ard_3-2-0_112083_2021-04-27_final
2021-05-06 09:00:21	ga_ls7e_ard_3-2-0_095085_2021-05-05_final
2021-05-15 10:30:42	ga_ls7e_ard_3-2-0_110081_2021-05-15_final
2021-05-26 08:33:09	ga_ls7e_ard_3-2-0_091083_2021-05-25_final
2021-05-29 09:01:47	ga_ls7e_ard_3-2-0_096078_2021-05-28_final
2021-07-06 09:58:03	ga_ls7e_ard_3-2-0_106072_2021-07-06_final
2021-07-15 09:53:30	ga_ls7e_ard_3-2-0_105078_2021-07-15_final
2021-07-22 08:20:12	ga_ls7e_ard_3-2-0_090078_2021-07-21_final
2021-07-25 10:30:07	ga_ls7e_ard_3-2-0_111079_2021-07-25_final
2021-07-26 09:34:48	ga_ls7e_ard_3-2-0_102080_2021-07-26_final
2021-07-29 08:27:22	ga_ls7e_ard_3-2-0_091082_2021-07-28_final
2021-08-27 09:32:00	ga_ls7e_ard_3-2-0_102080_2021-08-27_final
2021-09-09 08:57:10	ga_ls7e_ard_3-2-0_097073_2021-09-08_final
2021-09-20 08:38:27	ga_ls7e_ard_3-2-0_094075_2021-09-19_final
2021-10-02 10:41:46	ga_ls7e_ard_3-2-0_114077_2021-10-02_final
2021-10-03 08:08:23	ga_ls7e_ard_3-2-0_089080_2021-10-02_final
2021-10-07 09:22:36	ga_ls7e_ard_3-2-0_101081_2021-10-06_final
2021-10-08 08:26:53	ga_ls7e_ard_3-2-0_092081_2021-10-07_final
2021-10-08 08:28:53	ga_ls7e_ard_3-2-0_092086_2021-10-07_final
2021-10-09 09:08:04	ga_ls7e_ard_3-2-0_099076_2021-10-08_final
2021-10-18 08:59:29	ga_ls7e_ard_3-2-0_098072_2021-10-17_final
2021-10-23 09:18:46	ga_ls7e_ard_3-2-0_101075_2021-10-22_final
2021-10-28 09:34:27	ga_ls7e_ard_3-2-0_104069_2021-10-28_final
2021-10-31 08:30:35	ga_ls7e_ard_3-2-0_093080_2021-10-30_final
2021-11-03 10:38:29	ga_ls7e_ard_3-2-0_114076_2021-11-03_final
2021-11-29 09:32:12	ga_ls7e_ard_3-2-1_104071_2021-11-29_final
2021-12-14 10:29:11	ga_ls7e_ard_3-2-1_113078_2021-12-14_final
2021-12-16 10:13:51	ga_ls7e_ard_3-2-1_111071_2021-12-16_final
2021-12-27 09:58:13	ga_ls7e_ard_3-2-1_108081_2021-12-27_final
2022-01-03 08:22:48	ga_ls7e_ard_3-2-1_093076_2022-01-02_final
2022-01-03 10:03:17	ga_ls7e_ard_3-2-1_109080_2022-01-03_final
2022-01-05 08:12:14	ga_ls7e_ard_3-2-1_091081_2022-01-04_final
2022-01-14 08:04:01	ga_ls7e_ard_3-2-1_090078_2022-01-13_final
2022-01-30 08:03:40	ga_ls7e_ard_3-2-1_090081_2022-01-29_final
2022-03-08 08:18:09	ga_ls7e_ard_3-2-1_093080_2022-03-07_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years