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
2005-11-06 09:18:16	ga_ls7e_ard_3-0-0_091090_2005-11-05_final
2006-02-03 09:12:18	ga_ls7e_ard_3-0-0_090089_2006-02-02_final
2006-02-03 09:12:42	ga_ls7e_ard_3-0-0_090090_2006-02-02_final
2006-04-17 09:06:06	ga_ls7e_ard_3-1-0_089089_2006-04-16_final
2006-04-17 09:06:30	ga_ls7e_ard_3-0-0_089090_2006-04-16_final
2006-05-10 09:12:21	ga_ls7e_ard_3-0-0_090089_2006-05-09_final
2006-05-10 09:12:45	ga_ls7e_ard_3-0-0_090090_2006-05-09_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
2010-06-13 09:21:00	ga_ls7e_ard_3-0-0_091090_2010-06-12_final
2010-10-03 09:21:06	ga_ls7e_ard_3-0-0_091090_2010-10-02_final
2010-10-28 09:15:11	ga_ls7e_ard_3-0-0_090090_2010-10-27_final
2010-11-06 09:09:06	ga_ls7e_ard_3-0-0_089090_2010-11-05_final
2011-01-16 09:15:59	ga_ls7e_ard_3-0-0_090090_2011-01-15_final
2015-08-14 09:28:42	ga_ls7e_ard_3-0-0_091090_2015-08-13_final
2015-08-16 09:15:57	ga_ls7e_ard_3-0-0_089089_2015-08-15_final
2015-08-23 09:22:32	ga_ls7e_ard_3-0-0_090090_2015-08-22_final
2015-08-30 09:28:42	ga_ls7e_ard_3-0-0_091090_2015-08-29_final
2015-09-08 09:22:10	ga_ls7e_ard_3-0-0_090089_2015-09-07_final
2015-09-15 09:28:24	ga_ls7e_ard_3-0-0_091089_2015-09-14_final
2015-09-17 09:16:27	ga_ls7e_ard_3-0-0_089090_2015-09-16_final
2015-09-24 09:22:39	ga_ls7e_ard_3-0-0_090090_2015-09-23_final
2015-10-03 09:16:27	ga_ls7e_ard_3-0-0_089090_2015-10-02_final
2015-10-10 09:22:47	ga_ls7e_ard_3-0-0_090090_2015-10-09_final
2015-10-19 09:16:47	ga_ls7e_ard_3-0-0_089090_2015-10-18_final
2015-10-26 09:23:04	ga_ls7e_ard_3-0-0_090090_2015-10-25_final
2015-11-02 09:29:20	ga_ls7e_ard_3-0-0_091090_2015-11-01_final
2015-11-11 09:23:19	ga_ls7e_ard_3-0-0_090090_2015-11-10_final
2015-11-20 09:17:18	ga_ls7e_ard_3-0-0_089090_2015-11-19_final
2015-11-27 09:23:34	ga_ls7e_ard_3-0-0_090090_2015-11-26_final
2015-12-13 09:23:50	ga_ls7e_ard_3-0-0_090090_2015-12-12_final
2015-12-22 09:17:47	ga_ls7e_ard_3-0-0_089090_2015-12-21_final
2016-01-05 09:30:20	ga_ls7e_ard_3-0-0_091090_2016-01-05_final
2016-01-07 09:18:01	ga_ls7e_ard_3-0-0_089090_2016-01-06_final
2016-01-21 09:30:34	ga_ls7e_ard_3-0-0_091090_2016-01-21_final
2016-01-30 09:24:29	ga_ls7e_ard_3-0-0_090090_2016-01-29_final
2016-02-08 09:18:21	ga_ls7e_ard_3-0-0_089090_2016-02-07_final
2016-03-02 09:24:39	ga_ls7e_ard_3-0-0_090090_2016-03-01_final
2016-03-27 09:18:39	ga_ls7e_ard_3-0-0_089090_2016-03-26_final
2016-04-03 09:24:51	ga_ls7e_ard_3-0-0_090090_2016-04-02_final
2016-04-10 09:31:05	ga_ls7e_ard_3-0-0_091090_2016-04-10_final
2016-04-19 09:24:59	ga_ls7e_ard_3-0-0_090090_2016-04-18_final
2016-04-26 09:31:13	ga_ls7e_ard_3-0-0_091090_2016-04-26_final
2016-05-05 09:25:04	ga_ls7e_ard_3-0-0_090090_2016-05-04_final
2017-03-21 09:24:53	ga_ls7e_ard_3-0-0_090090_2017-03-20_final
2017-04-29 09:31:18	ga_ls7e_ard_3-0-0_091090_2017-04-29_final
2017-08-19 09:31:28	ga_ls7e_ard_3-0-0_091090_2017-08-19_final
2017-10-31 09:25:19	ga_ls7e_ard_3-0-0_090090_2017-10-30_final
2017-12-18 09:25:01	ga_ls7e_ard_3-0-0_090090_2017-12-17_final
2018-01-03 09:24:26	ga_ls7e_ard_3-0-0_090089_2018-01-02_final
2018-01-03 09:24:50	ga_ls7e_ard_3-0-0_090090_2018-01-02_final
2018-01-10 09:30:31	ga_ls7e_ard_3-0-0_091089_2018-01-10_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-01-17 09:36:35	ga_ls7e_ard_3-0-0_092089_2018-01-17_final
2018-02-02 09:36:19	ga_ls7e_ard_3-0-0_092089_2018-02-02_final
2018-02-04 09:23:56	ga_ls7e_ard_3-0-0_090089_2018-02-03_final
2018-02-04 09:24:20	ga_ls7e_ard_3-0-0_090090_2018-02-03_final
2018-02-20 09:23:45	ga_ls7e_ard_3-0-0_090089_2018-02-19_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-03-08 09:23:35	ga_ls7e_ard_3-0-0_090089_2018-03-07_final
2018-03-08 09:23:59	ga_ls7e_ard_3-0-0_090090_2018-03-07_final
2018-04-09 09:23:32	ga_ls7e_ard_3-0-0_090090_2018-04-08_final
2018-04-16 09:29:12	ga_ls7e_ard_3-0-0_091089_2018-04-15_final
2018-04-16 09:29:36	ga_ls7e_ard_3-0-0_091090_2018-04-15_final
2018-04-25 09:23:16	ga_ls7e_ard_3-0-0_090090_2018-04-24_final
2018-05-25 09:34:43	ga_ls7e_ard_3-0-0_092089_2018-05-25_final
2018-05-27 09:22:20	ga_ls7e_ard_3-0-0_090089_2018-05-26_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-10 09:34:27	ga_ls7e_ard_3-0-0_092089_2018-06-10_final
2018-06-10 09:34:51	ga_ls7e_ard_3-1-0_092090_2018-06-10_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
2018-07-14 09:21:26	ga_ls7e_ard_3-0-0_090089_2018-07-13_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-07-28 09:33:33	ga_ls7e_ard_3-0-0_092089_2018-07-28_final
2018-09-16 09:20:11	ga_ls7e_ard_3-0-0_090089_2018-09-15_final
2018-09-16 09:20:35	ga_ls7e_ard_3-0-0_090090_2018-09-15_final
2018-10-02 09:20:13	ga_ls7e_ard_3-0-0_090090_2018-10-01_final
2018-10-18 09:19:49	ga_ls7e_ard_3-0-0_090090_2018-10-17_final
2018-11-01 09:31:29	ga_ls7e_ard_3-0-0_092089_2018-11-01_final
2018-11-03 09:19:05	ga_ls7e_ard_3-0-0_090089_2018-11-02_final
2018-11-03 09:19:29	ga_ls7e_ard_3-0-0_090090_2018-11-02_final
2018-11-10 09:25:06	ga_ls7e_ard_3-0-0_091089_2018-11-09_final
2018-12-05 09:18:18	ga_ls7e_ard_3-0-0_090089_2018-12-04_final
2018-12-05 09:18:42	ga_ls7e_ard_3-0-0_090090_2018-12-04_final
2019-01-04 09:29:47	ga_ls7e_ard_3-1-0_092089_2019-01-03_final
2019-01-06 09:17:46	ga_ls7e_ard_3-0-0_090090_2019-01-05_final
2019-01-22 09:16:51	ga_ls7e_ard_3-0-0_090089_2019-01-21_final
2019-01-22 09:17:15	ga_ls7e_ard_3-0-0_090090_2019-01-21_final
2019-02-14 09:22:20	ga_ls7e_ard_3-0-0_091089_2019-02-13_final
2019-02-21 09:28:18	ga_ls7e_ard_3-1-0_092089_2019-02-20_final
2019-02-23 09:15:53	ga_ls7e_ard_3-1-0_090089_2019-02-22_final
2019-02-23 09:16:17	ga_ls7e_ard_3-1-0_090090_2019-02-22_final
2019-04-10 09:26:43	ga_ls7e_ard_3-0-0_092089_2019-04-09_final
2019-04-28 09:13:42	ga_ls7e_ard_3-0-0_090089_2019-04-27_final
2019-04-28 09:14:06	ga_ls7e_ard_3-0-0_090090_2019-04-27_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-05-14 09:13:05	ga_ls7e_ard_3-0-0_090089_2019-05-13_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