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
2013-05-18 09:33:06	ga_ls7e_ard_3-0-0_093080_2013-05-18_final
2013-06-19 09:32:53	ga_ls7e_ard_3-0-0_093080_2013-06-19_final
2013-07-05 09:32:43	ga_ls7e_ard_3-0-0_093080_2013-07-05_final
2013-07-21 09:32:35	ga_ls7e_ard_3-0-0_093080_2013-07-21_final
2013-08-22 09:32:36	ga_ls7e_ard_3-0-0_093080_2013-08-22_final
2013-09-07 09:32:48	ga_ls7e_ard_3-0-0_093080_2013-09-07_final
2013-12-28 09:33:39	ga_ls7e_ard_3-0-0_093080_2013-12-28_final
2014-01-13 09:33:45	ga_ls7e_ard_3-0-0_093080_2014-01-13_final
2014-03-02 09:33:59	ga_ls7e_ard_3-0-0_093080_2014-03-02_final
2014-03-18 09:34:07	ga_ls7e_ard_3-0-0_093080_2014-03-18_final
2014-04-03 09:34:13	ga_ls7e_ard_3-0-0_093080_2014-04-03_final
2014-04-19 09:34:22	ga_ls7e_ard_3-0-0_093080_2014-04-19_final
2014-05-21 09:34:35	ga_ls7e_ard_3-0-0_093080_2014-05-21_final
2014-06-06 09:34:38	ga_ls7e_ard_3-0-0_093080_2014-06-06_final
2014-08-09 09:34:53	ga_ls7e_ard_3-0-0_093080_2014-08-09_final
2014-10-12 09:35:12	ga_ls7e_ard_3-0-0_093080_2014-10-12_final
2014-11-13 09:35:29	ga_ls7e_ard_3-0-0_093080_2014-11-13_final
2014-11-29 09:35:35	ga_ls7e_ard_3-0-0_093080_2014-11-29_final
2014-12-15 09:35:43	ga_ls7e_ard_3-0-0_093080_2014-12-15_final
2014-12-31 09:35:44	ga_ls7e_ard_3-0-0_093080_2014-12-31_final
2015-02-17 09:35:57	ga_ls7e_ard_3-0-0_093080_2015-02-17_final
2015-03-05 09:36:07	ga_ls7e_ard_3-0-0_093080_2015-03-05_final
2015-03-21 09:36:15	ga_ls7e_ard_3-0-0_093080_2015-03-21_final
2015-04-06 09:36:22	ga_ls7e_ard_3-0-0_093080_2015-04-06_final
2015-06-09 09:36:49	ga_ls7e_ard_3-0-0_093080_2015-06-09_final
2015-07-11 09:36:57	ga_ls7e_ard_3-0-0_093080_2015-07-11_final
2015-07-27 09:36:59	ga_ls7e_ard_3-0-0_093080_2015-07-27_final
2015-08-12 09:37:04	ga_ls7e_ard_3-0-0_093080_2015-08-12_final
2015-08-28 09:37:05	ga_ls7e_ard_3-0-0_093080_2015-08-28_final
2015-09-13 09:37:09	ga_ls7e_ard_3-0-0_093080_2015-09-13_final
2015-09-29 09:37:12	ga_ls7e_ard_3-0-0_093080_2015-09-29_final
2015-10-15 09:37:26	ga_ls7e_ard_3-0-0_093080_2015-10-15_final
2015-11-16 09:37:58	ga_ls7e_ard_3-0-0_093080_2015-11-16_final
2015-12-02 09:38:09	ga_ls7e_ard_3-0-0_093080_2015-12-02_final
2015-12-18 09:38:27	ga_ls7e_ard_3-0-0_093080_2015-12-18_final
2016-01-19 09:38:55	ga_ls7e_ard_3-0-0_093080_2016-01-19_final
2016-02-04 09:39:04	ga_ls7e_ard_3-0-0_093080_2016-02-04_final
2016-02-20 09:39:07	ga_ls7e_ard_3-0-0_093080_2016-02-20_final
2016-03-07 09:39:15	ga_ls7e_ard_3-0-0_093080_2016-03-07_final
2016-03-23 09:39:22	ga_ls7e_ard_3-0-0_093080_2016-03-23_final
2016-04-08 09:39:26	ga_ls7e_ard_3-0-0_093080_2016-04-08_final
2016-05-10 09:39:38	ga_ls7e_ard_3-0-0_093080_2016-05-10_final
2016-05-26 09:39:42	ga_ls7e_ard_3-0-0_093080_2016-05-26_final
2016-06-11 09:39:46	ga_ls7e_ard_3-0-0_093080_2016-06-11_final
2016-07-13 09:39:47	ga_ls7e_ard_3-0-0_093080_2016-07-13_final
2016-07-29 09:39:50	ga_ls7e_ard_3-0-0_093080_2016-07-29_final
2016-08-14 09:39:51	ga_ls7e_ard_3-0-0_093080_2016-08-14_final
2016-08-30 09:39:55	ga_ls7e_ard_3-0-0_093080_2016-08-30_final
2016-10-01 09:39:59	ga_ls7e_ard_3-0-0_093080_2016-10-01_final
2016-10-17 09:39:59	ga_ls7e_ard_3-0-0_093080_2016-10-17_final
2016-11-02 09:39:53	ga_ls7e_ard_3-0-0_093080_2016-11-02_final
2016-11-18 09:39:46	ga_ls7e_ard_3-0-0_093080_2016-11-18_final
2016-12-04 09:39:44	ga_ls7e_ard_3-0-0_093080_2016-12-04_final
2016-12-20 09:39:38	ga_ls7e_ard_3-0-0_093080_2016-12-20_final
2017-01-05 09:39:29	ga_ls7e_ard_3-0-0_093080_2017-01-05_final
2017-02-06 09:39:13	ga_ls7e_ard_3-0-0_093080_2017-02-06_final
2017-02-22 09:39:15	ga_ls7e_ard_3-0-0_093080_2017-02-22_final
2017-03-10 09:39:23	ga_ls7e_ard_3-0-0_093080_2017-03-10_final
2017-03-26 09:39:28	ga_ls7e_ard_3-0-0_093080_2017-03-26_final
2017-04-11 09:39:33	ga_ls7e_ard_3-0-0_093080_2017-04-11_final
2017-04-27 09:39:39	ga_ls7e_ard_3-0-0_093080_2017-04-27_final
2017-05-13 09:39:43	ga_ls7e_ard_3-0-0_093080_2017-05-13_final
2017-05-29 09:39:46	ga_ls7e_ard_3-0-0_093080_2017-05-29_final
2017-06-14 09:39:51	ga_ls7e_ard_3-0-0_093080_2017-06-14_final
2017-06-30 09:39:53	ga_ls7e_ard_3-0-0_093080_2017-06-30_final
2017-07-16 09:39:54	ga_ls7e_ard_3-0-0_093080_2017-07-16_final
2017-08-01 09:39:52	ga_ls7e_ard_3-0-0_093080_2017-08-01_final
2017-08-17 09:39:50	ga_ls7e_ard_3-0-0_093080_2017-08-17_final
2017-09-02 09:39:51	ga_ls7e_ard_3-0-0_093080_2017-09-02_final
2017-09-18 09:39:48	ga_ls7e_ard_3-0-0_093080_2017-09-18_final
2017-10-04 09:39:50	ga_ls7e_ard_3-0-0_093080_2017-10-04_final
2017-11-21 09:39:48	ga_ls7e_ard_3-0-0_093080_2017-11-21_final
2017-12-07 09:39:41	ga_ls7e_ard_3-0-0_093080_2017-12-07_final
2017-12-23 09:39:31	ga_ls7e_ard_3-0-0_093080_2017-12-23_final
2018-01-08 09:39:18	ga_ls7e_ard_3-0-0_093080_2018-01-08_final
2018-01-24 09:39:04	ga_ls7e_ard_3-0-0_093080_2018-01-24_final
2018-02-25 09:38:39	ga_ls7e_ard_3-0-0_093080_2018-02-25_final
2018-03-13 09:38:28	ga_ls7e_ard_3-0-0_093080_2018-03-13_final
2018-03-29 09:38:15	ga_ls7e_ard_3-0-0_093080_2018-03-29_final
2018-04-14 09:38:00	ga_ls7e_ard_3-0-0_093080_2018-04-14_final
2018-04-30 09:37:43	ga_ls7e_ard_3-0-0_093080_2018-04-30_final
2018-07-03 09:36:36	ga_ls7e_ard_3-0-0_093080_2018-07-03_final
2018-07-19 09:36:18	ga_ls7e_ard_3-0-0_093080_2018-07-19_final
2018-09-21 09:35:01	ga_ls7e_ard_3-0-0_093080_2018-09-21_final
2018-10-07 09:34:38	ga_ls7e_ard_3-0-0_093080_2018-10-07_final
2018-10-23 09:34:16	ga_ls7e_ard_3-0-0_093080_2018-10-23_final
2018-11-08 09:33:55	ga_ls7e_ard_3-0-0_093080_2018-11-08_final
2018-12-26 09:32:39	ga_ls7e_ard_3-0-0_093080_2018-12-26_final
2019-01-11 09:32:09	ga_ls7e_ard_3-0-0_093080_2019-01-11_final
2019-01-27 09:31:38	ga_ls7e_ard_3-0-0_093080_2019-01-27_final
2019-02-12 09:31:10	ga_ls7e_ard_3-0-0_093080_2019-02-12_final
2019-04-01 09:29:37	ga_ls7e_ard_3-0-0_093080_2019-03-31_final
2019-04-17 09:29:03	ga_ls7e_ard_3-0-0_093080_2019-04-16_final
2019-05-19 09:27:49	ga_ls7e_ard_3-0-0_093080_2019-05-18_final
2019-06-04 09:27:15	ga_ls7e_ard_3-0-0_093080_2019-06-03_final
2019-06-20 09:26:40	ga_ls7e_ard_3-0-0_093080_2019-06-19_final
2019-07-06 09:26:04	ga_ls7e_ard_3-0-0_093080_2019-07-05_final
2019-07-22 09:25:26	ga_ls7e_ard_3-0-0_093080_2019-07-21_final
2019-08-23 09:24:07	ga_ls7e_ard_3-0-0_093080_2019-08-22_final
2019-09-08 09:23:26	ga_ls7e_ard_3-1-0_093080_2019-09-07_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