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
2002-02-24 09:11:36	ga_ls7e_ard_3-0-0_090090_2002-02-23_final
2002-04-04 09:17:37	ga_ls7e_ard_3-0-0_091090_2002-04-03_final
2002-05-24 09:05:11	ga_ls7e_ard_3-0-0_089090_2002-05-23_final
2002-07-18 09:10:37	ga_ls7e_ard_3-0-0_090089_2002-07-17_final
2002-07-18 09:11:01	ga_ls7e_ard_3-0-0_090090_2002-07-17_final
2005-09-10 09:23:45	ga_ls7e_ard_3-0-0_092089_2005-09-09_final
2005-09-12 09:11:22	ga_ls7e_ard_3-0-0_090089_2005-09-11_final
2005-09-12 09:11:46	ga_ls7e_ard_3-0-0_090090_2005-09-11_final
2005-10-12 09:23:43	ga_ls7e_ard_3-0-0_092089_2005-10-11_final
2005-10-14 09:11:23	ga_ls7e_ard_3-0-0_090089_2005-10-13_final
2005-10-14 09:11:47	ga_ls7e_ard_3-0-0_090090_2005-10-13_final
2005-11-24 09:05:39	ga_ls7e_ard_3-1-0_089089_2005-11-23_final
2005-11-24 09:06:03	ga_ls7e_ard_3-0-0_089090_2005-11-23_final
2006-01-27 09:06:04	ga_ls7e_ard_3-0-0_089089_2006-01-26_final
2006-01-27 09:06:28	ga_ls7e_ard_3-0-0_089090_2006-01-26_final
2006-02-26 09:18:33	ga_ls7e_ard_3-0-0_091089_2006-02-25_final
2006-03-07 09:12:23	ga_ls7e_ard_3-0-0_090089_2006-03-06_final
2006-03-07 09:12:47	ga_ls7e_ard_3-0-0_090090_2006-03-06_final
2006-12-20 09:12:29	ga_ls7e_ard_3-0-0_090089_2006-12-19_final
2006-12-20 09:12:53	ga_ls7e_ard_3-0-0_090090_2006-12-19_final
2007-01-05 09:12:30	ga_ls7e_ard_3-0-0_090089_2007-01-04_final
2007-01-12 09:18:41	ga_ls7e_ard_3-0-0_091089_2007-01-11_final
2007-01-12 09:19:05	ga_ls7e_ard_3-0-0_091090_2007-01-11_final
2007-01-14 09:06:19	ga_ls7e_ard_3-0-0_089089_2007-01-13_final
2007-01-14 09:06:43	ga_ls7e_ard_3-0-0_089090_2007-01-13_final
2007-02-15 09:06:32	ga_ls7e_ard_3-0-0_089089_2007-02-14_final
2007-03-01 09:18:57	ga_ls7e_ard_3-0-0_091089_2007-02-28_final
2007-03-01 09:19:21	ga_ls7e_ard_3-0-0_091090_2007-02-28_final
2007-03-10 09:12:48	ga_ls7e_ard_3-0-0_090089_2007-03-09_final
2007-03-10 09:13:12	ga_ls7e_ard_3-0-0_090090_2007-03-09_final
2007-03-19 09:06:38	ga_ls7e_ard_3-0-0_089089_2007-03-18_final
2007-03-19 09:07:02	ga_ls7e_ard_3-0-0_089090_2007-03-18_final
2007-04-02 09:19:24	ga_ls7e_ard_3-0-0_091090_2007-04-01_final
2007-04-04 09:07:02	ga_ls7e_ard_3-0-0_089090_2007-04-03_final
2007-04-11 09:13:12	ga_ls7e_ard_3-0-0_090090_2007-04-10_final
2007-04-20 09:07:00	ga_ls7e_ard_3-0-0_089090_2007-04-19_final
2007-04-27 09:13:09	ga_ls7e_ard_3-0-0_090090_2007-04-26_final
2007-05-11 09:25:03	ga_ls7e_ard_3-0-0_092089_2007-05-10_final
2007-05-13 09:13:04	ga_ls7e_ard_3-0-0_090090_2007-05-12_final
2007-06-05 09:19:08	ga_ls7e_ard_3-0-0_091090_2007-06-04_final
2007-06-14 09:12:57	ga_ls7e_ard_3-0-0_090090_2007-06-13_final
2007-06-30 09:12:56	ga_ls7e_ard_3-0-0_090090_2007-06-29_final
2007-07-23 09:19:02	ga_ls7e_ard_3-0-0_091090_2007-07-22_final
2007-08-17 09:12:43	ga_ls7e_ard_3-0-0_090090_2007-08-16_final
2007-09-18 09:12:05	ga_ls7e_ard_3-0-0_090089_2007-09-17_final
2007-09-18 09:12:29	ga_ls7e_ard_3-0-0_090090_2007-09-17_final
2008-04-20 09:18:59	ga_ls7e_ard_3-0-0_091090_2008-04-19_final
2008-04-29 09:12:46	ga_ls7e_ard_3-0-0_090090_2008-04-28_final
2010-09-03 09:08:47	ga_ls7e_ard_3-0-0_089090_2010-09-02_final
2010-12-31 09:15:51	ga_ls7e_ard_3-0-0_090090_2010-12-30_final
2011-03-21 09:16:14	ga_ls7e_ard_3-0-0_090090_2011-03-20_final
2011-04-29 09:22:29	ga_ls7e_ard_3-0-0_091090_2011-04-28_final
2012-04-24 09:16:33	ga_ls7e_ard_3-0-0_090089_2012-04-23_final
2012-04-24 09:16:57	ga_ls7e_ard_3-0-0_090090_2012-04-23_final
2012-05-10 09:16:56	ga_ls7e_ard_3-0-0_090089_2012-05-09_final
2012-05-10 09:17:20	ga_ls7e_ard_3-0-0_090090_2012-05-09_final
2012-06-11 09:17:03	ga_ls7e_ard_3-0-0_090090_2012-06-10_final
2012-06-27 09:17:11	ga_ls7e_ard_3-0-0_090090_2012-06-26_final
2015-03-16 09:21:39	ga_ls7e_ard_3-0-0_090090_2015-03-15_final
2015-05-12 09:15:55	ga_ls7e_ard_3-0-0_089090_2015-05-11_final
2015-09-01 09:16:20	ga_ls7e_ard_3-0-0_089090_2015-08-31_final
2016-02-13 09:36:31	ga_ls7e_ard_3-0-0_092089_2016-02-13_final
2018-05-18 09:28:39	ga_ls7e_ard_3-0-0_091089_2018-05-17_final
2018-05-25 09:34:43	ga_ls7e_ard_3-0-0_092089_2018-05-25_final
2018-05-27 09:22:20	ga_ls7e_ard_3-0-0_090089_2018-05-26_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-03 09:28:23	ga_ls7e_ard_3-0-0_091089_2018-06-02_final
2018-06-03 09:28:47	ga_ls7e_ard_3-0-0_091090_2018-06-02_final
2018-06-10 09:34:27	ga_ls7e_ard_3-0-0_092089_2018-06-10_final
2018-06-10 09:34:51	ga_ls7e_ard_3-1-0_092090_2018-06-10_final
2018-06-12 09:22:27	ga_ls7e_ard_3-0-0_090090_2018-06-11_final
2018-06-19 09:28:30	ga_ls7e_ard_3-0-0_091090_2018-06-18_final
2018-06-28 09:22:09	ga_ls7e_ard_3-0-0_090090_2018-06-27_final
2018-07-12 09:33:49	ga_ls7e_ard_3-0-0_092089_2018-07-12_final
2018-07-14 09:21:26	ga_ls7e_ard_3-0-0_090089_2018-07-13_final
2018-07-14 09:21:50	ga_ls7e_ard_3-0-0_090090_2018-07-13_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-07-28 09:33:33	ga_ls7e_ard_3-0-0_092089_2018-07-28_final
2018-07-30 09:21:09	ga_ls7e_ard_3-0-0_090089_2018-07-29_final
2018-07-30 09:21:33	ga_ls7e_ard_3-0-0_090090_2018-07-29_final
2018-08-15 09:21:16	ga_ls7e_ard_3-0-0_090090_2018-08-14_final
2018-08-22 09:26:54	ga_ls7e_ard_3-0-0_091089_2018-08-21_final
2018-08-22 09:27:18	ga_ls7e_ard_3-0-0_091090_2018-08-21_final
2018-10-02 09:19:49	ga_ls7e_ard_3-0-0_090089_2018-10-01_final
2018-10-02 09:20:13	ga_ls7e_ard_3-0-0_090090_2018-10-01_final
2019-02-14 09:22:20	ga_ls7e_ard_3-0-0_091089_2019-02-13_final
2019-03-02 09:21:50	ga_ls7e_ard_3-1-0_091089_2019-03-01_final
2019-03-02 09:22:14	ga_ls7e_ard_3-1-0_091090_2019-03-01_final
2019-10-21 09:06:39	ga_ls7e_ard_3-1-0_090089_2019-10-20_final
2019-10-21 09:07:03	ga_ls7e_ard_3-1-0_090090_2019-10-20_final
2020-01-25 09:01:59	ga_ls7e_ard_3-1-0_090089_2020-01-24_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-02-17 09:07:00	ga_ls7e_ard_3-1-0_091089_2020-02-16_final
2020-02-17 09:07:23	ga_ls7e_ard_3-1-0_091090_2020-02-16_final
2020-04-14 08:57:40	ga_ls7e_ard_3-1-0_090089_2020-04-13_final
2020-04-14 08:58:04	ga_ls7e_ard_3-1-0_090090_2020-04-13_final
2020-06-08 09:00:33	ga_ls7e_ard_3-1-0_091089_2020-06-07_final
2020-06-08 09:00:57	ga_ls7e_ard_3-1-0_091090_2020-06-07_final
2020-06-17 08:53:51	ga_ls7e_ard_3-1-0_090089_2020-06-16_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