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
2006-02-03 09:12:42	ga_ls7e_ard_3-0-0_090090_2006-02-02_final
2006-02-19 09:12:45	ga_ls7e_ard_3-0-0_090090_2006-02-18_final
2006-04-17 09:06:30	ga_ls7e_ard_3-0-0_089090_2006-04-16_final
2006-05-10 09:12:45	ga_ls7e_ard_3-0-0_090090_2006-05-09_final
2009-09-07 09:12:51	ga_ls7e_ard_3-0-0_090090_2009-09-06_final
2009-09-16 09:06:40	ga_ls7e_ard_3-0-0_089090_2009-09-15_final
2009-10-02 09:06:37	ga_ls7e_ard_3-0-0_089090_2009-10-01_final
2009-11-17 09:19:30	ga_ls7e_ard_3-0-0_091090_2009-11-16_final
2010-04-10 09:21:05	ga_ls7e_ard_3-0-0_091090_2010-04-09_final
2010-04-26 09:21:04	ga_ls7e_ard_3-0-0_091090_2010-04-25_final
2010-04-28 09:08:42	ga_ls7e_ard_3-0-0_089090_2010-04-27_final
2010-05-05 09:14:51	ga_ls7e_ard_3-0-0_090090_2010-05-04_final
2010-05-21 09:14:47	ga_ls7e_ard_3-0-0_090090_2010-05-20_final
2010-05-28 09:20:59	ga_ls7e_ard_3-0-0_091090_2010-05-27_final
2010-05-30 09:08:38	ga_ls7e_ard_3-0-0_089090_2010-05-29_final
2010-06-13 09:21:00	ga_ls7e_ard_3-0-0_091090_2010-06-12_final
2010-06-29 09:21:03	ga_ls7e_ard_3-0-0_091090_2010-06-28_final
2010-07-01 09:08:42	ga_ls7e_ard_3-0-0_089090_2010-06-30_final
2010-07-08 09:14:54	ga_ls7e_ard_3-0-0_090090_2010-07-07_final
2010-08-09 09:14:53	ga_ls7e_ard_3-0-0_090090_2010-08-08_final
2010-08-25 09:14:57	ga_ls7e_ard_3-0-0_090090_2010-08-24_final
2010-09-03 09:08:47	ga_ls7e_ard_3-0-0_089090_2010-09-02_final
2010-09-08 09:27:20	ga_ls7e_ard_3-1-0_092090_2010-09-07_final
2010-09-10 09:14:58	ga_ls7e_ard_3-0-0_090090_2010-09-09_final
2010-09-19 09:08:48	ga_ls7e_ard_3-0-0_089090_2010-09-18_final
2010-09-26 09:14:58	ga_ls7e_ard_3-0-0_090090_2010-09-25_final
2010-10-03 09:21:06	ga_ls7e_ard_3-0-0_091090_2010-10-02_final
2010-10-05 09:08:46	ga_ls7e_ard_3-0-0_089090_2010-10-04_final
2010-10-10 09:27:22	ga_ls7e_ard_3-1-0_092090_2010-10-09_final
2010-10-21 09:08:57	ga_ls7e_ard_3-0-0_089090_2010-10-20_final
2010-10-28 09:15:11	ga_ls7e_ard_3-0-0_090090_2010-10-27_final
2010-11-22 09:09:19	ga_ls7e_ard_3-0-0_089090_2010-11-21_final
2010-11-29 09:15:34	ga_ls7e_ard_3-0-0_090090_2010-11-28_final
2010-12-22 09:21:56	ga_ls7e_ard_3-0-0_091090_2010-12-21_final
2010-12-24 09:09:36	ga_ls7e_ard_3-0-0_089090_2010-12-23_final
2011-01-16 09:15:59	ga_ls7e_ard_3-0-0_090090_2011-01-15_final
2014-12-17 09:27:22	ga_ls7e_ard_3-0-0_091090_2014-12-16_final
2014-12-19 09:15:02	ga_ls7e_ard_3-0-0_089090_2014-12-18_final
2015-05-12 09:15:55	ga_ls7e_ard_3-0-0_089090_2015-05-11_final
2015-06-13 09:16:07	ga_ls7e_ard_3-0-0_089090_2015-06-12_final
2016-05-21 09:25:07	ga_ls7e_ard_3-0-0_090090_2016-05-20_final
2016-05-28 09:31:20	ga_ls7e_ard_3-0-0_091090_2016-05-28_final
2016-07-08 09:25:15	ga_ls7e_ard_3-0-0_090090_2016-07-07_final
2016-07-24 09:25:17	ga_ls7e_ard_3-0-0_090090_2016-07-23_final
2016-07-31 09:31:29	ga_ls7e_ard_3-0-0_091090_2016-07-31_final
2016-08-09 09:25:18	ga_ls7e_ard_3-0-0_090090_2016-08-08_final
2016-08-16 09:31:29	ga_ls7e_ard_3-0-0_091090_2016-08-16_final
2016-08-25 09:25:21	ga_ls7e_ard_3-0-0_090090_2016-08-24_final
2016-09-17 09:31:11	ga_ls7e_ard_3-0-0_091089_2016-09-17_final
2016-09-17 09:31:35	ga_ls7e_ard_3-0-0_091090_2016-09-17_final
2016-09-26 09:25:26	ga_ls7e_ard_3-0-0_090090_2016-09-25_final
2016-10-12 09:25:26	ga_ls7e_ard_3-0-0_090090_2016-10-11_final
2016-10-19 09:31:36	ga_ls7e_ard_3-0-0_091090_2016-10-19_final
2016-10-28 09:25:23	ga_ls7e_ard_3-0-0_090090_2016-10-27_final
2016-11-04 09:31:30	ga_ls7e_ard_3-0-0_091090_2016-11-04_final
2016-11-29 09:25:12	ga_ls7e_ard_3-0-0_090090_2016-11-28_final
2016-12-15 09:25:08	ga_ls7e_ard_3-0-0_090090_2016-12-14_final
2016-12-22 09:31:16	ga_ls7e_ard_3-0-0_091090_2016-12-22_final
2016-12-31 09:25:00	ga_ls7e_ard_3-0-0_090090_2016-12-30_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-04-16 09:29:36	ga_ls7e_ard_3-0-0_091090_2018-04-15_final
2018-05-02 09:29:19	ga_ls7e_ard_3-0-0_091090_2018-05-01_final
2018-06-03 09:28:47	ga_ls7e_ard_3-0-0_091090_2018-06-02_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
2018-07-05 09:28:11	ga_ls7e_ard_3-0-0_091090_2018-07-04_final
2018-09-16 09:20:35	ga_ls7e_ard_3-0-0_090090_2018-09-15_final
2019-01-22 09:17:15	ga_ls7e_ard_3-0-0_090090_2019-01-21_final
2019-04-12 09:14:41	ga_ls7e_ard_3-0-0_090090_2019-04-11_final
2019-05-30 09:12:53	ga_ls7e_ard_3-0-0_090090_2019-05-29_final
2019-06-15 09:12:18	ga_ls7e_ard_3-0-0_090090_2019-06-14_final
2019-06-22 09:18:14	ga_ls7e_ard_3-0-0_091090_2019-06-21_final
2019-07-01 09:11:43	ga_ls7e_ard_3-0-0_090090_2019-06-30_final
2019-07-17 09:10:41	ga_ls7e_ard_3-0-0_090089_2019-07-16_final
2019-08-02 09:10:27	ga_ls7e_ard_3-0-0_090090_2019-08-01_final
2019-08-09 09:16:20	ga_ls7e_ard_3-0-0_091090_2019-08-08_final
2019-08-18 09:09:47	ga_ls7e_ard_3-0-0_090090_2019-08-17_final
2019-08-25 09:15:40	ga_ls7e_ard_3-1-0_091090_2019-08-24_final
2019-09-03 09:09:06	ga_ls7e_ard_3-1-0_090090_2019-09-02_final
2019-09-10 09:14:58	ga_ls7e_ard_3-1-0_091090_2019-09-09_final
2019-09-19 09:08:24	ga_ls7e_ard_3-1-0_090090_2019-09-18_final
2019-09-26 09:14:16	ga_ls7e_ard_3-1-0_091090_2019-09-25_final
2019-10-05 09:07:43	ga_ls7e_ard_3-1-0_090090_2019-10-04_final
2019-10-12 09:13:36	ga_ls7e_ard_3-1-0_091090_2019-10-11_final
2019-10-21 09:07:03	ga_ls7e_ard_3-1-0_090090_2019-10-20_final
2019-10-28 09:12:55	ga_ls7e_ard_3-1-0_091090_2019-10-27_final
2019-11-06 09:06:20	ga_ls7e_ard_3-1-0_090090_2019-11-05_final
2019-11-22 09:05:12	ga_ls7e_ard_3-1-0_090089_2019-11-21_final
2019-11-22 09:05:36	ga_ls7e_ard_3-1-0_090090_2019-11-21_final
2019-11-29 09:11:26	ga_ls7e_ard_3-1-0_091090_2019-11-28_final
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_final
2019-12-24 09:03:36	ga_ls7e_ard_3-1-0_090089_2019-12-23_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_final
2019-12-31 09:09:49	ga_ls7e_ard_3-1-0_091090_2019-12-30_final
2020-01-09 09:02:46	ga_ls7e_ard_3-1-0_090089_2020-01-08_final
2020-01-09 09:03:10	ga_ls7e_ard_3-1-0_090090_2020-01-08_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-02-08 09:13:38	ga_ls7e_ard_3-1-0_092089_2020-02-07_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