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:

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First 100 results (query limit)

Time (local)	Label
2000-10-28 09:36:32	ga_ls7e_ard_3-0-0_094087_2000-10-28_final
2000-10-30 09:24:12	ga_ls7e_ard_3-0-0_092087_2000-10-29_final
2000-10-30 09:24:36	ga_ls7e_ard_3-0-0_092088_2000-10-29_final
2000-11-24 09:18:23	ga_ls7e_ard_3-0-0_091088_2000-11-23_final
2001-01-02 09:24:38	ga_ls7e_ard_3-0-0_092088_2001-01-01_final
2001-01-18 09:24:44	ga_ls7e_ard_3-0-0_092088_2001-01-17_final
2001-02-05 09:12:19	ga_ls7e_ard_3-0-0_090088_2001-02-04_final
2001-03-12 09:42:42	ga_ls7e_ard_3-0-0_095087_2001-03-12_final
2007-05-04 09:18:30	ga_ls7e_ard_3-0-0_091088_2007-05-03_final
2007-09-07 09:30:18	ga_ls7e_ard_3-0-0_093088_2007-09-07_final
2007-09-09 09:17:31	ga_ls7e_ard_3-0-0_091087_2007-09-08_final
2007-09-09 09:17:55	ga_ls7e_ard_3-0-0_091088_2007-09-08_final
2007-10-20 09:11:44	ga_ls7e_ard_3-0-0_090088_2007-10-19_final
2007-11-19 09:24:24	ga_ls7e_ard_3-0-0_092088_2007-11-18_final
2007-12-23 09:12:13	ga_ls7e_ard_3-0-0_090088_2007-12-22_final
2008-01-06 09:24:36	ga_ls7e_ard_3-0-0_092088_2008-01-05_final
2008-01-31 09:18:24	ga_ls7e_ard_3-0-0_091088_2008-01-30_final
2009-10-09 09:11:55	ga_ls7e_ard_3-0-0_090088_2009-10-08_final
2009-10-23 09:24:31	ga_ls7e_ard_3-0-0_092088_2009-10-22_final
2009-11-01 09:18:29	ga_ls7e_ard_3-0-0_091088_2009-10-31_final
2010-01-29 09:13:36	ga_ls7e_ard_3-0-0_090088_2010-01-28_final
2010-02-19 09:32:23	ga_ls7e_ard_3-0-0_093088_2010-02-19_final
2010-02-21 09:20:02	ga_ls7e_ard_3-0-0_091088_2010-02-20_final
2010-03-25 09:20:15	ga_ls7e_ard_3-0-0_091088_2010-03-24_final
2011-10-04 09:33:42	ga_ls7e_ard_3-0-0_093088_2011-10-04_final
2011-10-13 09:27:29	ga_ls7e_ard_3-0-0_092088_2011-10-12_final
2011-12-02 09:15:37	ga_ls7e_ard_3-0-0_090088_2011-12-01_final
2011-12-07 09:34:12	ga_ls7e_ard_3-0-0_093088_2011-12-07_final
2011-12-09 09:21:51	ga_ls7e_ard_3-0-0_091088_2011-12-08_final
2012-01-03 09:15:54	ga_ls7e_ard_3-0-0_090088_2012-01-02_final
2012-02-20 09:16:02	ga_ls7e_ard_3-0-0_090088_2012-02-19_final
2012-03-23 09:16:01	ga_ls7e_ard_3-0-0_090088_2012-03-22_final
2012-04-15 09:22:07	ga_ls7e_ard_3-0-0_091088_2012-04-14_final
2012-04-24 09:16:09	ga_ls7e_ard_3-0-0_090088_2012-04-23_final
2015-08-14 09:27:30	ga_ls7e_ard_3-0-0_091087_2015-08-13_final
2015-08-14 09:27:54	ga_ls7e_ard_3-0-0_091088_2015-08-13_final
2015-08-28 09:40:16	ga_ls7e_ard_3-0-0_093088_2015-08-28_final
2015-08-30 09:27:54	ga_ls7e_ard_3-0-0_091088_2015-08-29_final
2015-09-15 09:28:00	ga_ls7e_ard_3-0-0_091088_2015-09-14_final
2015-11-18 09:28:50	ga_ls7e_ard_3-0-0_091088_2015-11-17_final
2016-01-19 09:42:06	ga_ls7e_ard_3-0-0_093088_2016-01-19_final
2016-04-10 09:30:17	ga_ls7e_ard_3-0-0_091088_2016-04-10_final
2016-06-11 09:42:58	ga_ls7e_ard_3-0-0_093088_2016-06-11_final
2016-06-22 09:24:27	ga_ls7e_ard_3-0-0_090088_2016-06-21_final
2016-07-06 09:36:49	ga_ls7e_ard_3-0-0_092088_2016-07-06_final
2016-07-22 09:36:50	ga_ls7e_ard_3-0-0_092088_2016-07-22_final
2016-09-08 09:36:57	ga_ls7e_ard_3-0-0_092088_2016-09-08_final
2016-09-24 09:36:59	ga_ls7e_ard_3-0-0_092088_2016-09-24_final
2016-10-19 09:30:24	ga_ls7e_ard_3-0-0_091087_2016-10-19_final
2016-10-19 09:30:48	ga_ls7e_ard_3-0-0_091088_2016-10-19_final
2016-11-18 09:42:34	ga_ls7e_ard_3-1-0_093087_2016-11-18_final
2016-11-18 09:42:58	ga_ls7e_ard_3-0-0_093088_2016-11-18_final
2016-11-20 09:30:36	ga_ls7e_ard_3-0-0_091088_2016-11-20_final
2016-11-27 09:36:46	ga_ls7e_ard_3-0-0_092088_2016-11-27_final
2016-11-29 09:24:24	ga_ls7e_ard_3-0-0_090088_2016-11-28_final
2016-12-04 09:42:55	ga_ls7e_ard_3-0-0_093088_2016-12-04_final
2016-12-06 09:30:09	ga_ls7e_ard_3-1-0_091087_2016-12-06_final
2016-12-06 09:30:33	ga_ls7e_ard_3-0-0_091088_2016-12-06_final
2016-12-13 09:36:18	ga_ls7e_ard_3-0-0_092087_2016-12-13_final
2016-12-15 09:24:20	ga_ls7e_ard_3-0-0_090088_2016-12-14_final
2016-12-31 09:24:12	ga_ls7e_ard_3-0-0_090088_2016-12-30_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-01-05 09:42:41	ga_ls7e_ard_3-0-0_093088_2017-01-05_final
2017-01-07 09:30:18	ga_ls7e_ard_3-0-0_091088_2017-01-07_final
2017-01-23 09:30:07	ga_ls7e_ard_3-1-0_091088_2017-01-23_final
2017-01-28 09:48:14	ga_ls7e_ard_3-0-0_094087_2017-01-28_final
2017-02-01 09:23:53	ga_ls7e_ard_3-0-0_090088_2017-01-31_final
2017-02-17 09:23:52	ga_ls7e_ard_3-0-0_090088_2017-02-16_final
2017-02-22 09:42:27	ga_ls7e_ard_3-0-0_093088_2017-02-22_final
2018-09-16 09:19:47	ga_ls7e_ard_3-0-0_090088_2018-09-15_final
2018-09-23 09:25:49	ga_ls7e_ard_3-0-0_091088_2018-09-22_final
2018-10-25 09:24:39	ga_ls7e_ard_3-0-0_091087_2018-10-24_final
2018-11-03 09:18:41	ga_ls7e_ard_3-0-0_090088_2018-11-02_final
2018-11-08 09:36:42	ga_ls7e_ard_3-1-0_093087_2018-11-08_final
2018-11-17 09:30:19	ga_ls7e_ard_3-0-0_092087_2018-11-17_final
2018-11-17 09:30:43	ga_ls7e_ard_3-0-0_092088_2018-11-17_final
2018-12-01 09:42:19	ga_ls7e_ard_3-0-0_094087_2018-12-01_final
2018-12-12 09:23:29	ga_ls7e_ard_3-0-0_091087_2018-12-11_final
2018-12-12 09:23:53	ga_ls7e_ard_3-0-0_091088_2018-12-11_final
2018-12-28 09:23:01	ga_ls7e_ard_3-0-0_091087_2018-12-27_final
2018-12-28 09:23:25	ga_ls7e_ard_3-0-0_091088_2018-12-27_final
2019-02-21 09:27:54	ga_ls7e_ard_3-1-0_092088_2019-02-20_final
2019-02-23 09:15:29	ga_ls7e_ard_3-1-0_090088_2019-02-22_final
2019-03-07 09:39:25	ga_ls7e_ard_3-1-0_094087_2019-03-07_final
2019-03-09 09:27:00	ga_ls7e_ard_3-1-0_092087_2019-03-08_final
2019-03-09 09:27:24	ga_ls7e_ard_3-1-0_092088_2019-03-08_final
2019-03-11 09:14:58	ga_ls7e_ard_3-1-0_090088_2019-03-10_final
2019-03-14 09:45:23	ga_ls7e_ard_3-1-0_095087_2019-03-14_final
2019-03-16 09:32:57	ga_ls7e_ard_3-1-0_093087_2019-03-16_final
2019-03-16 09:33:21	ga_ls7e_ard_3-1-0_093088_2019-03-16_final
2019-03-18 09:20:55	ga_ls7e_ard_3-1-0_091088_2019-03-17_final
2019-03-23 09:38:54	ga_ls7e_ard_3-1-0_094087_2019-03-23_final
2019-03-25 09:26:28	ga_ls7e_ard_3-1-0_092087_2019-03-24_final
2019-03-25 09:26:52	ga_ls7e_ard_3-1-0_092088_2019-03-24_final
2019-03-27 09:14:26	ga_ls7e_ard_3-1-0_090088_2019-03-26_final
2019-04-24 09:37:46	ga_ls7e_ard_3-0-0_094087_2019-04-24_final
2019-04-26 09:25:20	ga_ls7e_ard_3-0-0_092087_2019-04-25_final
2019-04-26 09:25:44	ga_ls7e_ard_3-0-0_092088_2019-04-25_final
2019-05-12 09:25:07	ga_ls7e_ard_3-0-0_092088_2019-05-11_final
2019-05-26 09:36:32	ga_ls7e_ard_3-0-0_094087_2019-05-26_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