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
2009-08-22 09:12:52	ga_ls7e_ard_3-0-0_090090_2009-08-21_final
2009-09-07 09:12:51	ga_ls7e_ard_3-0-0_090090_2009-09-06_final
2009-10-02 09:06:37	ga_ls7e_ard_3-0-0_089090_2009-10-01_final
2009-10-09 09:12:43	ga_ls7e_ard_3-0-0_090090_2009-10-08_final
2009-11-10 09:13:14	ga_ls7e_ard_3-0-0_090090_2009-11-09_final
2009-12-28 09:13:55	ga_ls7e_ard_3-0-0_090090_2009-12-27_final
2010-01-29 09:14:24	ga_ls7e_ard_3-0-0_090090_2010-01-28_final
2010-03-09 09:20:58	ga_ls7e_ard_3-0-0_091090_2010-03-08_final
2010-03-25 09:21:03	ga_ls7e_ard_3-0-0_091090_2010-03-24_final
2010-05-05 09:14:51	ga_ls7e_ard_3-0-0_090090_2010-05-04_final
2010-05-30 09:08:38	ga_ls7e_ard_3-0-0_089090_2010-05-29_final
2010-06-06 09:14:49	ga_ls7e_ard_3-0-0_090090_2010-06-05_final
2010-06-13 09:21:00	ga_ls7e_ard_3-0-0_091090_2010-06-12_final
2010-06-15 09:08:38	ga_ls7e_ard_3-0-0_089090_2010-06-14_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
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
2010-09-08 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
2010-11-13 09:15:23	ga_ls7e_ard_3-0-0_090090_2010-11-12_final
2010-12-15 09:15:42	ga_ls7e_ard_3-0-0_090090_2010-12-14_final
2010-12-22 09:21:56	ga_ls7e_ard_3-0-0_091090_2010-12-21_final
2011-01-16 09:15:59	ga_ls7e_ard_3-0-0_090090_2011-01-15_final
2012-06-18 09:23:18	ga_ls7e_ard_3-0-0_091090_2012-06-17_final
2012-06-20 09:10:58	ga_ls7e_ard_3-0-0_089090_2012-06-19_final
2012-07-22 09:11:22	ga_ls7e_ard_3-0-0_089090_2012-07-21_final
2012-08-07 09:11:32	ga_ls7e_ard_3-0-0_089090_2012-08-06_final
2015-05-12 09:15:55	ga_ls7e_ard_3-0-0_089090_2015-05-11_final
2015-05-26 09:28:19	ga_ls7e_ard_3-0-0_091090_2015-05-25_final
2015-05-28 09:15:59	ga_ls7e_ard_3-0-0_089090_2015-05-27_final
2015-08-14 09:28:42	ga_ls7e_ard_3-0-0_091090_2015-08-13_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
2015-09-01 09:16:20	ga_ls7e_ard_3-0-0_089090_2015-08-31_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
2015-11-27 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
2015-12-29 09:24:02	ga_ls7e_ard_3-0-0_090090_2015-12-28_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
2016-04-12 09:18:45	ga_ls7e_ard_3-0-0_089090_2016-04-11_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
2017-05-24 09:25:12	ga_ls7e_ard_3-0-0_090090_2017-05-23_final
2017-06-25 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-06-24_final
2017-07-11 09:25:21	ga_ls7e_ard_3-0-0_090090_2017-07-10_final
2017-07-27 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-07-26_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
2019-05-30 09:12:29	ga_ls7e_ard_3-0-0_090089_2019-05-29_final
2019-05-30 09:12:53	ga_ls7e_ard_3-0-0_090090_2019-05-29_final
2019-07-01 09:11:19	ga_ls7e_ard_3-0-0_090089_2019-06-30_final
2019-07-01 09:11:43	ga_ls7e_ard_3-0-0_090090_2019-06-30_final
2019-07-24 09:16:35	ga_ls7e_ard_3-0-0_091089_2019-07-23_final
2019-07-31 09:22:29	ga_ls7e_ard_3-0-0_092089_2019-07-30_final
2019-08-02 09:10:03	ga_ls7e_ard_3-0-0_090089_2019-08-01_final
2019-08-02 09:10:27	ga_ls7e_ard_3-0-0_090090_2019-08-01_final
2019-08-09 09:15:56	ga_ls7e_ard_3-0-0_091089_2019-08-08_final
2019-08-09 09:16:20	ga_ls7e_ard_3-0-0_091090_2019-08-08_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_final
2019-08-18 09:09:47	ga_ls7e_ard_3-0-0_090090_2019-08-17_final
2019-09-17 09:20:27	ga_ls7e_ard_3-1-0_092089_2019-09-16_final
2019-09-19 09:08:00	ga_ls7e_ard_3-1-0_090089_2019-09-18_final
2019-09-19 09:08:24	ga_ls7e_ard_3-1-0_090090_2019-09-18_final
2019-10-03 09:19:46	ga_ls7e_ard_3-1-0_092089_2019-10-02_final
2019-10-12 09:13:12	ga_ls7e_ard_3-1-0_091089_2019-10-11_final
2019-10-12 09:13:36	ga_ls7e_ard_3-1-0_091090_2019-10-11_final
2019-10-21 09:06:39	ga_ls7e_ard_3-1-0_090089_2019-10-20_final
2019-10-21 09:07:03	ga_ls7e_ard_3-1-0_090090_2019-10-20_final
2019-11-04 09:18:23	ga_ls7e_ard_3-1-0_092089_2019-11-03_final
2019-11-29 09:11:02	ga_ls7e_ard_3-1-0_091089_2019-11-28_final
2019-11-29 09:11:26	ga_ls7e_ard_3-1-0_091090_2019-11-28_final
2019-12-22 09:16:04	ga_ls7e_ard_3-1-0_092089_2019-12-21_final
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_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

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