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
2013-05-06 10:42:54	ga_ls7e_ard_3-0-0_105069_2013-05-06_final
2013-06-07 10:42:42	ga_ls7e_ard_3-0-0_105069_2013-06-07_final
2013-07-25 10:42:19	ga_ls7e_ard_3-0-0_105069_2013-07-25_final
2013-08-10 10:42:13	ga_ls7e_ard_3-0-0_105069_2013-08-10_final
2013-08-26 10:42:24	ga_ls7e_ard_3-0-0_105069_2013-08-26_final
2013-09-11 10:42:37	ga_ls7e_ard_3-0-0_105069_2013-09-11_final
2013-10-13 10:42:59	ga_ls7e_ard_3-0-0_105069_2013-10-13_final
2013-10-29 10:43:05	ga_ls7e_ard_3-0-0_105069_2013-10-29_final
2013-11-14 10:43:11	ga_ls7e_ard_3-0-0_105069_2013-11-14_final
2013-11-30 10:43:19	ga_ls7e_ard_3-0-0_105069_2013-11-30_final
2014-01-01 10:43:27	ga_ls7e_ard_3-0-0_105069_2014-01-01_final
2014-01-17 10:43:37	ga_ls7e_ard_3-0-0_105069_2014-01-17_final
2014-02-18 10:43:43	ga_ls7e_ard_3-0-0_105069_2014-02-18_final
2014-04-07 10:43:59	ga_ls7e_ard_3-0-0_105069_2014-04-07_final
2014-04-23 10:44:11	ga_ls7e_ard_3-0-0_105069_2014-04-23_final
2014-06-26 10:44:28	ga_ls7e_ard_3-0-0_105069_2014-06-26_final
2014-07-12 10:44:32	ga_ls7e_ard_3-0-0_105069_2014-07-12_final
2014-07-28 10:44:37	ga_ls7e_ard_3-0-0_105069_2014-07-28_final
2014-08-13 10:44:40	ga_ls7e_ard_3-0-0_105069_2014-08-13_final
2014-08-29 10:44:38	ga_ls7e_ard_3-0-0_105069_2014-08-29_final
2014-09-14 10:44:39	ga_ls7e_ard_3-0-0_105069_2014-09-14_final
2014-09-30 10:44:51	ga_ls7e_ard_3-0-0_105069_2014-09-30_final
2014-10-16 10:45:00	ga_ls7e_ard_3-0-0_105069_2014-10-16_final
2014-11-01 10:45:10	ga_ls7e_ard_3-0-0_105069_2014-11-01_final
2014-11-17 10:45:15	ga_ls7e_ard_3-0-0_105069_2014-11-17_final
2014-12-19 10:45:32	ga_ls7e_ard_3-0-0_105069_2014-12-19_final
2015-02-05 10:45:42	ga_ls7e_ard_3-0-0_105069_2015-02-05_final
2015-02-21 10:45:47	ga_ls7e_ard_3-0-0_105069_2015-02-21_final
2015-03-25 10:46:03	ga_ls7e_ard_3-0-0_105069_2015-03-25_final
2015-04-10 10:46:11	ga_ls7e_ard_3-0-0_105069_2015-04-10_final
2015-04-26 10:46:17	ga_ls7e_ard_3-0-0_105069_2015-04-26_final
2015-05-12 10:46:25	ga_ls7e_ard_3-0-0_105069_2015-05-12_final
2015-05-28 10:46:29	ga_ls7e_ard_3-0-0_105069_2015-05-28_final
2015-06-29 10:46:39	ga_ls7e_ard_3-0-0_105069_2015-06-29_final
2015-07-15 10:46:45	ga_ls7e_ard_3-0-0_105069_2015-07-15_final
2015-07-31 10:46:47	ga_ls7e_ard_3-0-0_105069_2015-07-31_final
2015-08-16 10:46:51	ga_ls7e_ard_3-0-0_105069_2015-08-16_final
2015-09-01 10:46:50	ga_ls7e_ard_3-0-0_105069_2015-09-01_final
2015-09-17 10:46:57	ga_ls7e_ard_3-0-0_105069_2015-09-17_final
2015-10-03 10:46:57	ga_ls7e_ard_3-0-0_105069_2015-10-03_final
2015-10-19 10:47:17	ga_ls7e_ard_3-0-0_105069_2015-10-19_final
2015-11-04 10:47:30	ga_ls7e_ard_3-0-0_105069_2015-11-04_final
2015-11-20 10:47:48	ga_ls7e_ard_3-0-0_105069_2015-11-20_final
2015-12-06 10:48:01	ga_ls7e_ard_3-0-0_105069_2015-12-06_final
2016-01-07 10:48:31	ga_ls7e_ard_3-0-0_105069_2016-01-07_final
2016-01-23 10:48:44	ga_ls7e_ard_3-0-0_105069_2016-01-23_final
2016-02-08 10:48:52	ga_ls7e_ard_3-0-0_105069_2016-02-08_final
2016-02-24 10:48:53	ga_ls7e_ard_3-0-0_105069_2016-02-24_final
2016-03-11 10:49:04	ga_ls7e_ard_3-0-0_105069_2016-03-11_final
2016-03-27 10:49:10	ga_ls7e_ard_3-0-0_105069_2016-03-27_final
2016-04-12 10:49:15	ga_ls7e_ard_3-0-0_105069_2016-04-12_final
2016-04-28 10:49:22	ga_ls7e_ard_3-0-0_105069_2016-04-28_final
2016-05-14 10:49:24	ga_ls7e_ard_3-0-0_105069_2016-05-14_final
2016-05-30 10:49:30	ga_ls7e_ard_3-0-0_105069_2016-05-30_final
2016-06-15 10:49:34	ga_ls7e_ard_3-0-0_105069_2016-06-15_final
2016-07-01 10:49:34	ga_ls7e_ard_3-0-0_105069_2016-07-01_final
2016-07-17 10:49:35	ga_ls7e_ard_3-0-0_105069_2016-07-17_final
2016-08-02 10:49:37	ga_ls7e_ard_3-0-0_105069_2016-08-02_final
2016-08-18 10:49:38	ga_ls7e_ard_3-0-0_105069_2016-08-18_final
2016-09-03 10:49:42	ga_ls7e_ard_3-0-0_105069_2016-09-03_final
2016-10-05 10:49:46	ga_ls7e_ard_3-0-0_105069_2016-10-05_final
2016-10-21 10:49:44	ga_ls7e_ard_3-0-0_105069_2016-10-21_final
2016-11-06 10:49:38	ga_ls7e_ard_3-0-0_105069_2016-11-06_final
2016-11-22 10:49:32	ga_ls7e_ard_3-0-0_105069_2016-11-22_final
2016-12-08 10:49:29	ga_ls7e_ard_3-0-0_105069_2016-12-08_final
2016-12-24 10:49:23	ga_ls7e_ard_3-0-0_105069_2016-12-24_final
2017-01-09 10:49:13	ga_ls7e_ard_3-0-0_105069_2017-01-09_final
2017-01-25 10:49:02	ga_ls7e_ard_3-0-0_105069_2017-01-25_final
2017-02-26 10:49:04	ga_ls7e_ard_3-0-0_105069_2017-02-26_final
2017-03-14 10:49:10	ga_ls7e_ard_3-0-0_105069_2017-03-14_final
2017-03-30 10:49:15	ga_ls7e_ard_3-0-0_105069_2017-03-30_final
2017-04-15 10:49:21	ga_ls7e_ard_3-0-0_105069_2017-04-15_final
2017-05-01 10:49:27	ga_ls7e_ard_3-0-0_105069_2017-05-01_final
2017-05-17 10:49:30	ga_ls7e_ard_3-0-0_105069_2017-05-17_final
2017-06-02 10:49:34	ga_ls7e_ard_3-0-0_105069_2017-06-02_final
2017-06-18 10:49:38	ga_ls7e_ard_3-0-0_105069_2017-06-18_final
2017-07-04 10:49:40	ga_ls7e_ard_3-0-0_105069_2017-07-04_final
2017-07-20 10:49:40	ga_ls7e_ard_3-0-0_105069_2017-07-20_final
2017-08-05 10:49:38	ga_ls7e_ard_3-0-0_105069_2017-08-05_final
2017-08-21 10:49:37	ga_ls7e_ard_3-0-0_105069_2017-08-21_final
2017-09-22 10:49:35	ga_ls7e_ard_3-0-0_105069_2017-09-22_final
2017-10-08 10:49:37	ga_ls7e_ard_3-0-0_105069_2017-10-08_final
2017-11-09 10:49:37	ga_ls7e_ard_3-0-0_105069_2017-11-09_final
2017-12-27 10:49:14	ga_ls7e_ard_3-0-0_105069_2017-12-27_final
2018-03-01 10:48:23	ga_ls7e_ard_3-0-0_105069_2018-03-01_final
2018-03-17 10:48:11	ga_ls7e_ard_3-0-0_105069_2018-03-17_final
2018-04-02 10:47:58	ga_ls7e_ard_3-0-0_105069_2018-04-02_final
2018-05-04 10:47:25	ga_ls7e_ard_3-0-0_105069_2018-05-04_final
2018-07-23 10:46:00	ga_ls7e_ard_3-0-0_105069_2018-07-23_final
2018-08-24 10:45:24	ga_ls7e_ard_3-0-0_105069_2018-08-24_final
2018-09-09 10:45:04	ga_ls7e_ard_3-0-0_105069_2018-09-09_final
2018-09-25 10:44:42	ga_ls7e_ard_3-0-0_105069_2018-09-25_final
2018-10-27 10:43:57	ga_ls7e_ard_3-0-0_105069_2018-10-27_final
2018-11-12 10:43:36	ga_ls7e_ard_3-0-0_105069_2018-11-12_final
2018-12-30 10:42:18	ga_ls7e_ard_3-0-0_105069_2018-12-30_final
2019-01-15 10:41:48	ga_ls7e_ard_3-0-0_105069_2019-01-15_final
2019-03-04 10:40:19	ga_ls7e_ard_3-1-0_105069_2019-03-04_final
2019-04-21 10:38:40	ga_ls7e_ard_3-0-0_105069_2019-04-21_final
2019-07-10 10:35:41	ga_ls7e_ard_3-0-0_105069_2019-07-10_final
2019-09-28 10:32:19	ga_ls7e_ard_3-1-0_105069_2019-09-28_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