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
2013-09-14 11:17:08	ga_ls7e_ard_3-0-0_110078_2013-09-14_final
2013-09-30 11:17:18	ga_ls7e_ard_3-0-0_110078_2013-09-30_final
2013-12-03 11:17:50	ga_ls7e_ard_3-0-0_110078_2013-12-03_final
2014-01-20 11:18:11	ga_ls7e_ard_3-0-0_110078_2014-01-20_final
2014-03-25 11:18:25	ga_ls7e_ard_3-0-0_110078_2014-03-25_final
2014-04-10 11:18:30	ga_ls7e_ard_3-0-0_110078_2014-04-10_final
2014-04-26 11:18:42	ga_ls7e_ard_3-0-0_110078_2014-04-26_final
2014-06-29 11:18:59	ga_ls7e_ard_3-0-0_110078_2014-06-29_final
2014-07-31 11:19:08	ga_ls7e_ard_3-0-0_110078_2014-07-31_final
2014-08-16 11:19:09	ga_ls7e_ard_3-0-0_110078_2014-08-16_final
2014-09-01 11:19:08	ga_ls7e_ard_3-0-0_110078_2014-09-01_final
2014-09-17 11:19:11	ga_ls7e_ard_3-0-0_110078_2014-09-17_final
2014-10-03 11:19:23	ga_ls7e_ard_3-0-0_110078_2014-10-03_final
2014-11-04 11:19:42	ga_ls7e_ard_3-0-0_110078_2014-11-04_final
2014-11-20 11:19:45	ga_ls7e_ard_3-0-0_110078_2014-11-20_final
2015-01-07 11:20:03	ga_ls7e_ard_3-0-0_110078_2015-01-07_final
2015-02-24 11:20:19	ga_ls7e_ard_3-0-0_110078_2015-02-24_final
2015-03-28 11:20:33	ga_ls7e_ard_3-0-0_110078_2015-03-28_final
2015-04-29 11:20:48	ga_ls7e_ard_3-0-0_110078_2015-04-29_final
2015-06-16 11:21:07	ga_ls7e_ard_3-0-0_110078_2015-06-16_final
2015-08-19 11:21:21	ga_ls7e_ard_3-0-0_110078_2015-08-19_final
2015-09-04 11:21:21	ga_ls7e_ard_3-0-0_110078_2015-09-04_final
2015-09-20 11:21:27	ga_ls7e_ard_3-0-0_110078_2015-09-20_final
2015-10-06 11:21:31	ga_ls7e_ard_3-0-0_110078_2015-10-06_final
2015-10-22 11:21:49	ga_ls7e_ard_3-0-0_110078_2015-10-22_final
2015-11-07 11:22:03	ga_ls7e_ard_3-0-0_110078_2015-11-07_final
2015-11-23 11:22:20	ga_ls7e_ard_3-0-0_110078_2015-11-23_final
2015-12-09 11:22:34	ga_ls7e_ard_3-0-0_110078_2015-12-09_final
2015-12-25 11:22:48	ga_ls7e_ard_3-0-0_110078_2015-12-25_final
2016-01-10 11:23:03	ga_ls7e_ard_3-0-0_110078_2016-01-10_final
2016-01-26 11:23:15	ga_ls7e_ard_3-0-0_110078_2016-01-26_final
2016-02-11 11:23:22	ga_ls7e_ard_3-0-0_110078_2016-02-11_final
2016-02-27 11:23:25	ga_ls7e_ard_3-0-0_110078_2016-02-27_final
2016-03-14 11:23:35	ga_ls7e_ard_3-0-0_110078_2016-03-14_final
2016-03-30 11:23:40	ga_ls7e_ard_3-0-0_110078_2016-03-30_final
2016-04-15 11:23:46	ga_ls7e_ard_3-0-0_110078_2016-04-15_final
2016-05-01 11:23:52	ga_ls7e_ard_3-0-0_110078_2016-05-01_final
2016-05-17 11:23:54	ga_ls7e_ard_3-0-0_110078_2016-05-17_final
2016-06-18 11:24:03	ga_ls7e_ard_3-0-0_110078_2016-06-18_final
2016-07-04 11:24:04	ga_ls7e_ard_3-0-0_110078_2016-07-04_final
2016-07-20 11:24:05	ga_ls7e_ard_3-0-0_110078_2016-07-20_final
2016-08-05 11:24:07	ga_ls7e_ard_3-0-0_110078_2016-08-05_final
2016-08-21 11:24:09	ga_ls7e_ard_3-0-0_110078_2016-08-21_final
2016-09-06 11:24:12	ga_ls7e_ard_3-0-0_110078_2016-09-06_final
2016-09-22 11:24:14	ga_ls7e_ard_3-0-0_110078_2016-09-22_final
2016-10-08 11:24:15	ga_ls7e_ard_3-0-0_110078_2016-10-08_final
2016-10-24 11:24:13	ga_ls7e_ard_3-0-0_110078_2016-10-24_final
2016-11-09 11:24:06	ga_ls7e_ard_3-0-0_110078_2016-11-09_final
2016-11-25 11:24:01	ga_ls7e_ard_3-0-0_110078_2016-11-25_final
2016-12-11 11:23:58	ga_ls7e_ard_3-0-0_110078_2016-12-11_final
2016-12-27 11:23:51	ga_ls7e_ard_3-0-0_110078_2016-12-27_final
2017-01-12 11:23:41	ga_ls7e_ard_3-0-0_110078_2017-01-12_final
2017-01-28 11:23:31	ga_ls7e_ard_3-0-0_110078_2017-01-28_final
2017-02-13 11:23:26	ga_ls7e_ard_3-0-0_110078_2017-02-13_final
2017-03-01 11:23:35	ga_ls7e_ard_3-0-0_110078_2017-03-01_final
2017-03-17 11:23:41	ga_ls7e_ard_3-0-0_110078_2017-03-17_final
2017-04-02 11:23:45	ga_ls7e_ard_3-0-0_110078_2017-04-02_final
2017-04-18 11:23:52	ga_ls7e_ard_3-0-0_110078_2017-04-18_final
2017-05-04 11:23:57	ga_ls7e_ard_3-0-0_110078_2017-05-04_final
2017-05-20 11:24:00	ga_ls7e_ard_3-0-0_110078_2017-05-20_final
2017-06-05 11:24:05	ga_ls7e_ard_3-0-0_110078_2017-06-05_final
2017-06-21 11:24:08	ga_ls7e_ard_3-0-0_110078_2017-06-21_final
2017-07-07 11:24:10	ga_ls7e_ard_3-0-0_110078_2017-07-07_final
2017-07-23 11:24:09	ga_ls7e_ard_3-0-0_110078_2017-07-23_final
2017-08-08 11:24:07	ga_ls7e_ard_3-0-0_110078_2017-08-08_final
2017-08-24 11:24:07	ga_ls7e_ard_3-0-0_110078_2017-08-24_final
2017-09-09 11:24:06	ga_ls7e_ard_3-0-0_110078_2017-09-09_final
2017-09-25 11:24:05	ga_ls7e_ard_3-0-0_110078_2017-09-25_final
2017-10-11 11:24:07	ga_ls7e_ard_3-0-0_110078_2017-10-11_final
2017-10-27 11:24:08	ga_ls7e_ard_3-0-0_110078_2017-10-27_final
2017-12-14 11:23:53	ga_ls7e_ard_3-0-0_110078_2017-12-14_final
2018-01-15 11:23:28	ga_ls7e_ard_3-0-0_110078_2018-01-15_final
2018-02-16 11:23:01	ga_ls7e_ard_3-0-0_110078_2018-02-16_final
2018-03-04 11:22:50	ga_ls7e_ard_3-0-0_110078_2018-03-04_final
2018-03-20 11:22:38	ga_ls7e_ard_3-0-0_110078_2018-03-20_final
2018-04-21 11:22:09	ga_ls7e_ard_3-0-0_110078_2018-04-21_final
2018-05-07 11:21:51	ga_ls7e_ard_3-0-0_110078_2018-05-07_final
2018-06-08 11:21:20	ga_ls7e_ard_3-0-0_110078_2018-06-08_final
2018-07-10 11:20:43	ga_ls7e_ard_3-0-0_110078_2018-07-10_final
2018-08-11 11:20:09	ga_ls7e_ard_3-0-0_110078_2018-08-11_final
2018-08-27 11:19:50	ga_ls7e_ard_3-0-0_110078_2018-08-27_final
2018-09-12 11:19:29	ga_ls7e_ard_3-0-0_110078_2018-09-12_final
2018-09-28 11:19:07	ga_ls7e_ard_3-0-0_110078_2018-09-28_final
2018-11-15 11:18:01	ga_ls7e_ard_3-0-0_110078_2018-11-15_final
2018-12-17 11:17:10	ga_ls7e_ard_3-0-0_110078_2018-12-17_final
2019-01-02 11:16:42	ga_ls7e_ard_3-0-0_110078_2019-01-02_final
2019-01-18 11:16:12	ga_ls7e_ard_3-0-0_110078_2019-01-18_final
2019-02-03 11:15:41	ga_ls7e_ard_3-0-0_110078_2019-02-03_final
2019-02-19 11:15:13	ga_ls7e_ard_3-1-0_110078_2019-02-19_final
2019-03-07 11:14:43	ga_ls7e_ard_3-1-0_110078_2019-03-07_final
2019-04-08 11:13:38	ga_ls7e_ard_3-0-0_110078_2019-04-08_final
2019-04-24 11:13:03	ga_ls7e_ard_3-0-0_110078_2019-04-24_final
2019-05-10 11:12:27	ga_ls7e_ard_3-0-0_110078_2019-05-10_final
2019-06-11 11:11:16	ga_ls7e_ard_3-0-0_110078_2019-06-11_final
2019-07-13 11:10:03	ga_ls7e_ard_3-0-0_110078_2019-07-13_final
2019-07-29 11:09:25	ga_ls7e_ard_3-0-0_110078_2019-07-29_final
2019-08-14 11:08:46	ga_ls7e_ard_3-0-0_110078_2019-08-14_final
2019-08-30 11:08:05	ga_ls7e_ard_3-1-0_110078_2019-08-30_final
2019-10-01 11:06:42	ga_ls7e_ard_3-1-0_110078_2019-10-01_final
2019-11-02 11:05:20	ga_ls7e_ard_3-1-0_110078_2019-11-02_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