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
2002-03-05 09:05:26	ga_ls7e_ard_3-0-0_089090_2002-03-04_final
2002-03-10 09:23:58	ga_ls7e_ard_3-0-0_092090_2002-03-09_final
2002-03-12 09:11:36	ga_ls7e_ard_3-0-0_090090_2002-03-11_final
2002-03-28 09:11:30	ga_ls7e_ard_3-0-0_090090_2002-03-27_final
2002-04-06 09:05:18	ga_ls7e_ard_3-0-0_089090_2002-04-05_final
2002-04-13 09:11:30	ga_ls7e_ard_3-0-0_090090_2002-04-12_final
2002-04-29 09:11:31	ga_ls7e_ard_3-0-0_090090_2002-04-28_final
2002-05-15 09:11:24	ga_ls7e_ard_3-0-0_090090_2002-05-14_final
2002-05-31 09:11:18	ga_ls7e_ard_3-0-0_090090_2002-05-30_final
2002-06-07 09:17:27	ga_ls7e_ard_3-0-0_091090_2002-06-06_final
2002-06-16 09:11:12	ga_ls7e_ard_3-0-0_090090_2002-06-15_final
2002-06-25 09:04:57	ga_ls7e_ard_3-0-0_089090_2002-06-24_final
2002-07-09 09:17:17	ga_ls7e_ard_3-0-0_091090_2002-07-08_final
2002-07-11 09:04:54	ga_ls7e_ard_3-0-0_089090_2002-07-10_final
2002-07-25 09:17:07	ga_ls7e_ard_3-0-0_091090_2002-07-24_final
2002-08-03 09:10:53	ga_ls7e_ard_3-0-0_090090_2002-08-02_final
2007-12-30 09:19:13	ga_ls7e_ard_3-0-0_091090_2007-12-29_final
2008-05-22 09:18:49	ga_ls7e_ard_3-0-0_091090_2008-05-21_final
2009-04-07 09:19:10	ga_ls7e_ard_3-0-0_091090_2009-04-06_final
2010-01-29 09:14:24	ga_ls7e_ard_3-0-0_090090_2010-01-28_final
2010-02-05 09:20:40	ga_ls7e_ard_3-0-0_091090_2010-02-04_final
2010-02-14 09:14:35	ga_ls7e_ard_3-0-0_090090_2010-02-13_final
2010-02-23 09:08:29	ga_ls7e_ard_3-0-0_089090_2010-02-22_final
2010-03-02 09:14:44	ga_ls7e_ard_3-0-0_090090_2010-03-01_final
2010-03-09 09:20:58	ga_ls7e_ard_3-0-0_091090_2010-03-08_final
2010-03-18 09:14:50	ga_ls7e_ard_3-0-0_090090_2010-03-17_final
2010-04-03 09:14:53	ga_ls7e_ard_3-0-0_090090_2010-04-02_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
2010-05-05 09:14:51	ga_ls7e_ard_3-0-0_090090_2010-05-04_final
2010-06-06 09:14:49	ga_ls7e_ard_3-0-0_090090_2010-06-05_final
2010-06-15 09:08:38	ga_ls7e_ard_3-0-0_089090_2010-06-14_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
2010-07-24 09:14:55	ga_ls7e_ard_3-0-0_090090_2010-07-23_final
2018-04-25 09:23:16	ga_ls7e_ard_3-0-0_090090_2018-04-24_final
2018-05-02 09:29:19	ga_ls7e_ard_3-0-0_091090_2018-05-01_final
2018-05-25 09:34:43	ga_ls7e_ard_3-0-0_092089_2018-05-25_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-03 09:28:47	ga_ls7e_ard_3-0-0_091090_2018-06-02_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
2018-07-05 09:27:47	ga_ls7e_ard_3-0-0_091089_2018-07-04_final
2018-07-05 09:28:11	ga_ls7e_ard_3-0-0_091090_2018-07-04_final
2018-07-14 09:21:26	ga_ls7e_ard_3-0-0_090089_2018-07-13_final
2018-07-14 09:21:50	ga_ls7e_ard_3-0-0_090090_2018-07-13_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2018-07-30 09:21:33	ga_ls7e_ard_3-0-0_090090_2018-07-29_final
2018-08-15 09:21:16	ga_ls7e_ard_3-0-0_090090_2018-08-14_final
2018-08-22 09:27:18	ga_ls7e_ard_3-0-0_091090_2018-08-21_final
2018-09-07 09:26:58	ga_ls7e_ard_3-0-0_091090_2018-09-06_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 09:19:29	ga_ls7e_ard_3-0-0_090090_2018-11-02_final
2018-11-17 09:31:07	ga_ls7e_ard_3-0-0_092089_2018-11-17_final
2018-11-19 09:19:06	ga_ls7e_ard_3-0-0_090090_2018-11-18_final
2018-11-26 09:25:06	ga_ls7e_ard_3-0-0_091090_2018-11-25_final
2018-12-05 09:18:42	ga_ls7e_ard_3-0-0_090090_2018-12-04_final
2018-12-12 09:24:41	ga_ls7e_ard_3-0-0_091090_2018-12-11_final
2018-12-21 09:17:51	ga_ls7e_ard_3-0-0_090089_2018-12-20_final
2018-12-28 09:23:49	ga_ls7e_ard_3-0-0_091089_2018-12-27_final
2018-12-28 09:24:13	ga_ls7e_ard_3-0-0_091090_2018-12-27_final
2019-01-06 09:17:46	ga_ls7e_ard_3-0-0_090090_2019-01-05_final
2019-01-13 09:23:43	ga_ls7e_ard_3-0-0_091090_2019-01-12_final
2019-01-20 09:29:17	ga_ls7e_ard_3-0-0_092089_2019-01-19_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
2019-01-29 09:23:12	ga_ls7e_ard_3-0-0_091090_2019-01-28_final
2019-02-05 09:28:47	ga_ls7e_ard_3-0-0_092089_2019-02-04_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
2019-03-02 09:21:50	ga_ls7e_ard_3-1-0_091089_2019-03-01_final
2019-03-02 09:22:14	ga_ls7e_ard_3-1-0_091090_2019-03-01_final
2019-03-11 09:15:22	ga_ls7e_ard_3-1-0_090089_2019-03-10_final
2019-03-11 09:15:46	ga_ls7e_ard_3-1-0_090090_2019-03-10_final
2019-03-18 09:21:43	ga_ls7e_ard_3-1-0_091090_2019-03-17_final
2019-03-27 09:14:50	ga_ls7e_ard_3-1-0_090089_2019-03-26_final
2019-03-27 09:15:14	ga_ls7e_ard_3-1-0_090090_2019-03-26_final
2019-04-03 09:21:11	ga_ls7e_ard_3-0-0_091090_2019-04-02_final
2019-04-12 09:14:41	ga_ls7e_ard_3-0-0_090090_2019-04-11_final
2019-04-19 09:20:36	ga_ls7e_ard_3-0-0_091090_2019-04-18_final
2019-06-15 09:11:54	ga_ls7e_ard_3-0-0_090089_2019-06-14_final
2019-06-15 09:12:18	ga_ls7e_ard_3-0-0_090090_2019-06-14_final
2019-08-25 09:15:16	ga_ls7e_ard_3-1-0_091089_2019-08-24_final
2019-08-25 09:15:40	ga_ls7e_ard_3-1-0_091090_2019-08-24_final
2019-09-03 09:08:42	ga_ls7e_ard_3-1-0_090089_2019-09-02_final
2019-09-03 09:09:06	ga_ls7e_ard_3-1-0_090090_2019-09-02_final
2019-09-17 09:20:27	ga_ls7e_ard_3-1-0_092089_2019-09-16_final
2019-09-26 09:13:52	ga_ls7e_ard_3-1-0_091089_2019-09-25_final
2019-09-26 09:14:16	ga_ls7e_ard_3-1-0_091090_2019-09-25_final
2019-10-03 09:19:46	ga_ls7e_ard_3-1-0_092089_2019-10-02_final
2019-10-05 09:07:19	ga_ls7e_ard_3-1-0_090089_2019-10-04_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