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
2012-10-17 09:18:02	ga_ls7e_ard_3-0-0_090089_2012-10-16_final
2012-11-02 09:18:08	ga_ls7e_ard_3-0-0_090089_2012-11-01_final
2012-11-18 09:18:15	ga_ls7e_ard_3-0-0_090089_2012-11-17_final
2012-12-04 09:18:15	ga_ls7e_ard_3-0-0_090089_2012-12-03_final
2012-12-20 09:18:24	ga_ls7e_ard_3-0-0_090089_2012-12-19_final
2013-01-21 09:18:28	ga_ls7e_ard_3-0-0_090089_2013-01-20_final
2013-02-06 09:18:30	ga_ls7e_ard_3-0-0_090089_2013-02-05_final
2013-02-22 09:18:27	ga_ls7e_ard_3-0-0_090089_2013-02-21_final
2013-03-10 09:18:26	ga_ls7e_ard_3-0-0_090089_2013-03-09_final
2013-05-13 09:18:10	ga_ls7e_ard_3-0-0_090089_2013-05-12_final
2013-06-14 09:17:57	ga_ls7e_ard_3-0-0_090089_2013-06-13_final
2013-06-30 09:17:50	ga_ls7e_ard_3-0-0_090089_2013-06-29_final
2013-07-16 09:17:40	ga_ls7e_ard_3-0-0_090089_2013-07-15_final
2013-08-17 09:17:35	ga_ls7e_ard_3-0-0_090089_2013-08-16_final
2013-09-02 09:17:47	ga_ls7e_ard_3-0-0_090089_2013-09-01_final
2013-10-04 09:18:08	ga_ls7e_ard_3-0-0_090089_2013-10-03_final
2013-10-20 09:18:20	ga_ls7e_ard_3-0-0_090089_2013-10-19_final
2013-11-05 09:18:25	ga_ls7e_ard_3-0-0_090089_2013-11-04_final
2014-02-09 09:19:09	ga_ls7e_ard_3-0-0_090089_2014-02-08_final
2014-02-25 09:19:00	ga_ls7e_ard_3-0-0_090089_2014-02-24_final
2014-03-13 09:19:07	ga_ls7e_ard_3-0-0_090089_2014-03-12_final
2014-04-14 09:19:21	ga_ls7e_ard_3-0-0_090089_2014-04-13_final
2014-05-16 09:19:37	ga_ls7e_ard_3-0-0_090089_2014-05-15_final
2014-06-17 09:19:41	ga_ls7e_ard_3-0-0_090089_2014-06-16_final
2014-07-03 09:19:48	ga_ls7e_ard_3-0-0_090089_2014-07-02_final
2014-07-19 09:19:50	ga_ls7e_ard_3-0-0_090089_2014-07-18_final
2014-08-04 09:19:56	ga_ls7e_ard_3-0-0_090089_2014-08-03_final
2014-08-20 09:19:55	ga_ls7e_ard_3-0-0_090089_2014-08-19_final
2014-09-21 09:20:01	ga_ls7e_ard_3-0-0_090089_2014-09-20_final
2014-10-07 09:20:13	ga_ls7e_ard_3-0-0_090089_2014-10-06_final
2015-01-11 09:20:51	ga_ls7e_ard_3-0-0_090089_2015-01-10_final
2015-01-27 09:20:55	ga_ls7e_ard_3-0-0_090089_2015-01-26_final
2015-02-12 09:20:57	ga_ls7e_ard_3-0-0_090089_2015-02-11_final
2015-03-16 09:21:15	ga_ls7e_ard_3-0-0_090089_2015-03-15_final
2015-04-01 09:21:21	ga_ls7e_ard_3-0-0_090089_2015-03-31_final
2015-04-17 09:21:31	ga_ls7e_ard_3-0-0_090089_2015-04-16_final
2015-05-03 09:21:36	ga_ls7e_ard_3-0-0_090089_2015-05-02_final
2015-05-19 09:21:45	ga_ls7e_ard_3-0-0_090089_2015-05-18_final
2015-06-04 09:21:50	ga_ls7e_ard_3-0-0_090089_2015-06-03_final
2015-06-20 09:21:54	ga_ls7e_ard_3-0-0_090089_2015-06-19_final
2015-07-06 09:21:58	ga_ls7e_ard_3-0-0_090089_2015-07-05_final
2015-07-22 09:22:02	ga_ls7e_ard_3-0-0_090089_2015-07-21_final
2015-08-07 09:22:06	ga_ls7e_ard_3-0-0_090089_2015-08-06_final
2015-08-23 09:22:08	ga_ls7e_ard_3-0-0_090089_2015-08-22_final
2015-09-08 09:22:10	ga_ls7e_ard_3-0-0_090089_2015-09-07_final
2015-09-24 09:22:15	ga_ls7e_ard_3-0-0_090089_2015-09-23_final
2015-10-10 09:22:23	ga_ls7e_ard_3-0-0_090089_2015-10-09_final
2015-11-27 09:23:10	ga_ls7e_ard_3-0-0_090089_2015-11-26_final
2015-12-13 09:23:26	ga_ls7e_ard_3-0-0_090089_2015-12-12_final
2015-12-29 09:23:38	ga_ls7e_ard_3-0-0_090089_2015-12-28_final
2016-02-15 09:24:10	ga_ls7e_ard_3-0-0_090089_2016-02-14_final
2016-03-02 09:24:15	ga_ls7e_ard_3-0-0_090089_2016-03-01_final
2016-04-03 09:24:27	ga_ls7e_ard_3-0-0_090089_2016-04-02_final
2016-04-19 09:24:35	ga_ls7e_ard_3-0-0_090089_2016-04-18_final
2016-05-05 09:24:40	ga_ls7e_ard_3-0-0_090089_2016-05-04_final
2016-05-21 09:24:43	ga_ls7e_ard_3-0-0_090089_2016-05-20_final
2016-06-22 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-06-21_final
2016-07-08 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-07-07_final
2016-07-24 09:24:53	ga_ls7e_ard_3-0-0_090089_2016-07-23_final
2016-08-09 09:24:54	ga_ls7e_ard_3-0-0_090089_2016-08-08_final
2016-08-25 09:24:57	ga_ls7e_ard_3-0-0_090089_2016-08-24_final
2016-09-10 09:25:00	ga_ls7e_ard_3-0-0_090089_2016-09-09_final
2016-09-26 09:25:02	ga_ls7e_ard_3-0-0_090089_2016-09-25_final
2016-10-12 09:25:02	ga_ls7e_ard_3-0-0_090089_2016-10-11_final
2016-10-28 09:24:59	ga_ls7e_ard_3-0-0_090089_2016-10-27_final
2016-11-13 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-11-12_final
2016-11-29 09:24:48	ga_ls7e_ard_3-0-0_090089_2016-11-28_final
2016-12-15 09:24:44	ga_ls7e_ard_3-0-0_090089_2016-12-14_final
2016-12-31 09:24:36	ga_ls7e_ard_3-0-0_090089_2016-12-30_final
2017-01-16 09:24:25	ga_ls7e_ard_3-0-0_090089_2017-01-15_final
2017-02-01 09:24:17	ga_ls7e_ard_3-0-0_090089_2017-01-31_final
2017-02-17 09:24:15	ga_ls7e_ard_3-0-0_090089_2017-02-16_final
2017-03-05 09:24:24	ga_ls7e_ard_3-0-0_090089_2017-03-04_final
2017-03-21 09:24:29	ga_ls7e_ard_3-0-0_090089_2017-03-20_final
2017-04-06 09:24:33	ga_ls7e_ard_3-0-0_090089_2017-04-05_final
2017-05-08 09:24:45	ga_ls7e_ard_3-0-0_090089_2017-05-07_final
2017-05-24 09:24:48	ga_ls7e_ard_3-0-0_090089_2017-05-23_final
2017-06-09 09:24:53	ga_ls7e_ard_3-0-0_090089_2017-06-08_final
2017-07-27 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-07-26_final
2017-08-12 09:24:54	ga_ls7e_ard_3-0-0_090089_2017-08-11_final
2017-09-29 09:24:53	ga_ls7e_ard_3-0-0_090089_2017-09-28_final
2017-10-15 09:24:55	ga_ls7e_ard_3-0-0_090089_2017-10-14_final
2017-11-16 09:24:53	ga_ls7e_ard_3-0-0_090089_2017-11-15_final
2018-02-20 09:23:45	ga_ls7e_ard_3-0-0_090089_2018-02-19_final
2018-04-09 09:23:08	ga_ls7e_ard_3-0-0_090089_2018-04-08_final
2018-05-27 09:22:20	ga_ls7e_ard_3-0-0_090089_2018-05-26_final
2018-06-28 09:21:45	ga_ls7e_ard_3-0-0_090089_2018-06-27_final
2018-07-14 09:21:26	ga_ls7e_ard_3-0-0_090089_2018-07-13_final
2018-09-16 09:20:11	ga_ls7e_ard_3-0-0_090089_2018-09-15_final
2018-11-19 09:18:42	ga_ls7e_ard_3-0-0_090089_2018-11-18_final
2018-12-21 09:17:51	ga_ls7e_ard_3-0-0_090089_2018-12-20_final
2019-01-06 09:17:22	ga_ls7e_ard_3-0-0_090089_2019-01-05_final
2019-02-23 09:15:53	ga_ls7e_ard_3-1-0_090089_2019-02-22_final
2019-03-11 09:15:22	ga_ls7e_ard_3-1-0_090089_2019-03-10_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-04-12 09:14:17	ga_ls7e_ard_3-0-0_090089_2019-04-11_final
2019-04-28 09:13:42	ga_ls7e_ard_3-0-0_090089_2019-04-27_final
2019-06-15 09:11:54	ga_ls7e_ard_3-0-0_090089_2019-06-14_final
2019-07-01 09:11:19	ga_ls7e_ard_3-0-0_090089_2019-06-30_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_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