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
2009-09-01 11:26:26	ga_ls7e_ard_3-1-0_112084_2009-09-01_final
2009-10-17 11:35:36	ga_ls7e_ard_3-0-0_114076_2009-10-17_final
2009-10-17 11:36:00	ga_ls7e_ard_3-0-0_114077_2009-10-17_final
2009-10-17 11:36:23	ga_ls7e_ard_3-0-0_114078_2009-10-17_final
2009-10-17 11:36:47	ga_ls7e_ard_3-0-0_114079_2009-10-17_final
2009-10-17 11:37:11	ga_ls7e_ard_3-0-0_114080_2009-10-17_final
2009-10-17 11:37:35	ga_ls7e_ard_3-0-0_114081_2009-10-17_final
2009-10-19 11:26:28	ga_ls7e_ard_3-1-0_112084_2009-10-19_final
2009-11-04 11:26:43	ga_ls7e_ard_3-1-0_112084_2009-11-04_final
2009-12-04 11:36:15	ga_ls7e_ard_3-0-0_114076_2009-12-04_final
2009-12-04 11:36:39	ga_ls7e_ard_3-0-0_114077_2009-12-04_final
2009-12-04 11:37:03	ga_ls7e_ard_3-0-0_114078_2009-12-04_final
2009-12-04 11:37:27	ga_ls7e_ard_3-0-0_114079_2009-12-04_final
2009-12-04 11:37:51	ga_ls7e_ard_3-0-0_114080_2009-12-04_final
2009-12-04 11:38:15	ga_ls7e_ard_3-0-0_114081_2009-12-04_final
2010-01-14 11:32:20	ga_ls7e_ard_3-0-0_113080_2010-01-14_final
2010-01-14 11:32:44	ga_ls7e_ard_3-0-0_113081_2010-01-14_final
2010-01-14 11:33:08	ga_ls7e_ard_3-0-0_113082_2010-01-14_final
2010-01-14 11:33:32	ga_ls7e_ard_3-0-0_113083_2010-01-14_final
2010-01-14 11:33:56	ga_ls7e_ard_3-0-0_113084_2010-01-14_final
2010-03-12 11:28:22	ga_ls7e_ard_3-0-0_112084_2010-03-12_final
2015-09-09 11:41:08	ga_ls7e_ard_3-0-0_113081_2015-09-09_final
2015-09-09 11:41:32	ga_ls7e_ard_3-0-0_113082_2015-09-09_final
2015-09-09 11:41:56	ga_ls7e_ard_3-0-0_113083_2015-09-09_final
2015-09-09 11:42:20	ga_ls7e_ard_3-0-0_113084_2015-09-09_final
2015-09-23 11:50:46	ga_ls7e_ard_3-0-0_115074_2015-09-23_final
2015-09-23 11:51:10	ga_ls7e_ard_3-0-0_115075_2015-09-23_final
2015-09-23 11:51:34	ga_ls7e_ard_3-0-0_115076_2015-09-23_final
2015-09-23 11:51:58	ga_ls7e_ard_3-0-0_115077_2015-09-23_final
2015-09-23 11:52:22	ga_ls7e_ard_3-0-0_115078_2015-09-23_final
2015-10-02 11:45:20	ga_ls7e_ard_3-0-0_114076_2015-10-02_final
2015-10-02 11:45:44	ga_ls7e_ard_3-0-0_114077_2015-10-02_final
2015-10-02 11:46:08	ga_ls7e_ard_3-0-0_114078_2015-10-02_final
2015-10-02 11:46:32	ga_ls7e_ard_3-0-0_114079_2015-10-02_final
2015-10-02 11:46:56	ga_ls7e_ard_3-0-0_114080_2015-10-02_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2015-10-11 11:41:21	ga_ls7e_ard_3-0-0_113081_2015-10-11_final
2015-10-11 11:41:45	ga_ls7e_ard_3-0-0_113082_2015-10-11_final
2015-10-11 11:42:09	ga_ls7e_ard_3-0-0_113083_2015-10-11_final
2015-10-11 11:42:33	ga_ls7e_ard_3-0-0_113084_2015-10-11_final
2016-01-08 11:37:47	ga_ls7e_ard_3-0-0_112084_2016-01-08_final
2016-02-14 11:52:41	ga_ls7e_ard_3-0-0_115074_2016-02-14_final
2016-02-14 11:53:05	ga_ls7e_ard_3-0-0_115075_2016-02-14_final
2016-02-14 11:53:29	ga_ls7e_ard_3-0-0_115076_2016-02-14_final
2016-02-14 11:53:53	ga_ls7e_ard_3-1-0_115077_2016-02-14_final
2016-02-14 11:54:16	ga_ls7e_ard_3-0-0_115078_2016-02-14_final
2016-03-17 11:52:55	ga_ls7e_ard_3-0-0_115074_2016-03-17_final
2016-03-17 11:53:19	ga_ls7e_ard_3-0-0_115075_2016-03-17_final
2016-03-17 11:53:43	ga_ls7e_ard_3-0-0_115076_2016-03-17_final
2016-03-17 11:54:07	ga_ls7e_ard_3-1-0_115077_2016-03-17_final
2016-03-17 11:54:30	ga_ls7e_ard_3-0-0_115078_2016-03-17_final
2016-04-18 11:53:06	ga_ls7e_ard_3-0-0_115074_2016-04-18_final
2016-04-18 11:53:30	ga_ls7e_ard_3-0-0_115075_2016-04-18_final
2016-04-18 11:53:54	ga_ls7e_ard_3-0-0_115076_2016-04-18_final
2016-04-18 11:54:18	ga_ls7e_ard_3-1-0_115077_2016-04-18_final
2016-04-18 11:54:42	ga_ls7e_ard_3-0-0_115078_2016-04-18_final
2016-04-20 11:43:33	ga_ls7e_ard_3-0-0_113081_2016-04-20_final
2016-04-20 11:43:57	ga_ls7e_ard_3-0-0_113082_2016-04-20_final
2016-08-24 11:53:28	ga_ls7e_ard_3-0-0_115074_2016-08-24_final
2016-08-24 11:53:52	ga_ls7e_ard_3-0-0_115075_2016-08-24_final
2016-08-24 11:54:16	ga_ls7e_ard_3-0-0_115076_2016-08-24_final
2016-08-24 11:54:40	ga_ls7e_ard_3-0-0_115077_2016-08-24_final
2016-08-24 11:55:04	ga_ls7e_ard_3-0-0_115078_2016-08-24_final
2016-08-26 11:43:54	ga_ls7e_ard_3-0-0_113081_2016-08-26_final
2016-08-26 11:44:42	ga_ls7e_ard_3-0-0_113083_2016-08-26_final
2016-08-26 11:45:06	ga_ls7e_ard_3-0-0_113084_2016-08-26_final
2016-09-18 11:48:09	ga_ls7e_ard_3-0-0_114076_2016-09-18_final
2016-09-18 11:48:33	ga_ls7e_ard_3-0-0_114077_2016-09-18_final
2016-10-29 11:43:55	ga_ls7e_ard_3-0-0_113081_2016-10-29_final
2016-10-29 11:44:43	ga_ls7e_ard_3-0-0_113083_2016-10-29_final
2016-10-29 11:45:07	ga_ls7e_ard_3-0-0_113084_2016-10-29_final
2016-11-14 11:43:47	ga_ls7e_ard_3-0-0_113081_2016-11-14_final
2016-11-14 11:44:11	ga_ls7e_ard_3-0-0_113082_2016-11-14_final
2016-11-14 11:44:35	ga_ls7e_ard_3-0-0_113083_2016-11-14_final
2016-11-14 11:44:59	ga_ls7e_ard_3-0-0_113084_2016-11-14_final
2016-11-21 11:47:57	ga_ls7e_ard_3-0-0_114076_2016-11-21_final
2016-11-21 11:48:21	ga_ls7e_ard_3-0-0_114077_2016-11-21_final
2016-11-21 11:48:45	ga_ls7e_ard_3-0-0_114078_2016-11-21_final
2016-11-21 11:49:09	ga_ls7e_ard_3-0-0_114079_2016-11-21_final
2016-11-21 11:49:33	ga_ls7e_ard_3-0-0_114080_2016-11-21_final
2016-11-23 11:38:47	ga_ls7e_ard_3-1-0_112084_2016-11-23_final
2017-01-24 11:47:28	ga_ls7e_ard_3-0-0_114076_2017-01-24_final
2017-01-24 11:47:52	ga_ls7e_ard_3-0-0_114077_2017-01-24_final
2017-01-24 11:48:16	ga_ls7e_ard_3-0-0_114078_2017-01-24_final
2017-01-24 11:48:40	ga_ls7e_ard_3-0-0_114079_2017-01-24_final
2017-01-24 11:49:03	ga_ls7e_ard_3-0-0_114080_2017-01-24_final
2017-01-26 11:38:17	ga_ls7e_ard_3-1-0_112084_2017-01-26_final
2017-12-19 11:43:10	ga_ls7e_ard_3-0-0_113080_2017-12-19_final
2017-12-19 11:43:34	ga_ls7e_ard_3-0-0_113081_2017-12-19_final
2017-12-19 11:43:58	ga_ls7e_ard_3-0-0_113082_2017-12-19_final
2018-05-12 11:41:30	ga_ls7e_ard_3-0-0_113081_2018-05-12_final
2018-05-12 11:41:54	ga_ls7e_ard_3-0-0_113082_2018-05-12_final
2018-05-12 11:42:18	ga_ls7e_ard_3-0-0_113083_2018-05-12_final
2018-05-12 11:42:42	ga_ls7e_ard_3-0-0_113084_2018-05-12_final
2018-08-07 11:44:33	ga_ls7e_ard_3-0-0_114077_2018-08-07_final
2018-08-07 11:44:57	ga_ls7e_ard_3-0-0_114078_2018-08-07_final
2018-08-07 11:45:21	ga_ls7e_ard_3-0-0_114079_2018-08-07_final
2019-05-06 11:36:55	ga_ls7e_ard_3-0-0_114077_2019-05-06_final
2019-05-06 11:37:19	ga_ls7e_ard_3-0-0_114078_2019-05-06_final
2019-05-06 11:37:43	ga_ls7e_ard_3-0-0_114079_2019-05-06_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