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
2003-12-21 09:04:57	ga_ls7e_ard_3-1-0_089089_2003-12-20_final
2003-12-26 09:23:32	ga_ls7e_ard_3-0-0_092089_2003-12-25_final
2004-01-11 09:23:34	ga_ls7e_ard_3-0-0_092089_2004-01-10_final
2004-01-13 09:11:12	ga_ls7e_ard_3-0-0_090089_2004-01-12_final
2004-01-27 09:23:42	ga_ls7e_ard_3-0-0_092089_2004-01-26_final
2004-02-12 09:23:46	ga_ls7e_ard_3-0-0_092089_2004-02-11_final
2004-02-14 09:11:24	ga_ls7e_ard_3-0-0_090089_2004-02-13_final
2004-03-17 09:11:33	ga_ls7e_ard_3-0-0_090089_2004-03-16_final
2004-04-02 09:11:33	ga_ls7e_ard_3-0-0_090089_2004-04-01_final
2004-04-25 09:17:36	ga_ls7e_ard_3-0-0_091089_2004-04-24_final
2004-06-05 09:11:24	ga_ls7e_ard_3-0-0_090089_2004-06-04_final
2004-06-21 09:11:18	ga_ls7e_ard_3-0-0_090089_2004-06-20_final
2004-07-30 09:17:19	ga_ls7e_ard_3-0-0_091089_2004-07-29_final
2004-08-15 09:17:16	ga_ls7e_ard_3-0-0_091089_2004-08-14_final
2004-10-04 09:04:40	ga_ls7e_ard_3-0-0_089089_2004-10-03_final
2005-03-02 09:24:20	ga_ls7e_ard_3-0-0_092089_2005-03-01_final
2005-03-04 09:11:58	ga_ls7e_ard_3-0-0_090089_2005-03-03_final
2005-03-11 09:18:10	ga_ls7e_ard_3-0-0_091089_2005-03-10_final
2009-02-18 09:18:24	ga_ls7e_ard_3-0-0_091089_2009-02-17_final
2009-02-25 09:24:39	ga_ls7e_ard_3-1-0_092089_2009-02-24_final
2009-03-13 09:24:47	ga_ls7e_ard_3-0-0_092089_2009-03-12_final
2009-03-15 09:12:26	ga_ls7e_ard_3-0-0_090089_2009-03-14_final
2009-06-10 09:18:54	ga_ls7e_ard_3-0-0_091089_2009-06-09_final
2009-06-19 09:12:42	ga_ls7e_ard_3-0-0_090089_2009-06-18_final
2009-07-03 09:25:01	ga_ls7e_ard_3-0-0_092089_2009-07-02_final
2009-07-05 09:12:39	ga_ls7e_ard_3-0-0_090089_2009-07-04_final
2009-07-28 09:18:44	ga_ls7e_ard_3-0-0_091089_2009-07-27_final
2011-05-22 09:28:13	ga_ls7e_ard_3-0-0_092089_2011-05-21_final
2011-07-02 09:21:59	ga_ls7e_ard_3-0-0_091089_2011-07-01_final
2011-07-11 09:15:49	ga_ls7e_ard_3-0-0_090089_2011-07-10_final
2011-08-26 09:28:02	ga_ls7e_ard_3-0-0_092089_2011-08-25_final
2014-04-12 09:31:41	ga_ls7e_ard_3-0-0_092089_2014-04-12_final
2014-04-14 09:19:21	ga_ls7e_ard_3-0-0_090089_2014-04-13_final
2014-04-23 09:13:17	ga_ls7e_ard_3-1-0_089089_2014-04-22_final
2014-05-07 09:25:41	ga_ls7e_ard_3-0-0_091089_2014-05-06_final
2014-06-08 09:25:52	ga_ls7e_ard_3-0-0_091089_2014-06-07_final
2014-06-15 09:32:03	ga_ls7e_ard_3-0-0_092089_2014-06-15_final
2014-06-17 09:19:41	ga_ls7e_ard_3-0-0_090089_2014-06-16_final
2014-07-28 09:13:43	ga_ls7e_ard_3-1-0_089089_2014-07-27_final
2014-08-20 09:19:55	ga_ls7e_ard_3-0-0_090089_2014-08-19_final
2014-08-29 09:13:43	ga_ls7e_ard_3-1-0_089089_2014-08-28_final
2014-09-05 09:19:56	ga_ls7e_ard_3-0-0_090089_2014-09-04_final
2014-09-19 09:32:21	ga_ls7e_ard_3-0-0_092089_2014-09-19_final
2014-09-21 09:20:01	ga_ls7e_ard_3-0-0_090089_2014-09-20_final
2014-09-30 09:13:57	ga_ls7e_ard_3-1-0_089089_2014-09-29_final
2014-10-30 09:26:36	ga_ls7e_ard_3-0-0_091089_2014-10-29_final
2016-05-28 09:30:57	ga_ls7e_ard_3-0-0_091089_2016-05-28_final
2016-07-08 09:24:51	ga_ls7e_ard_3-0-0_090089_2016-07-07_final
2016-07-31 09:30:41	ga_ls7e_ard_3-0-0_091088_2016-07-31_final
2016-07-31 09:31:05	ga_ls7e_ard_3-1-0_091089_2016-07-31_final
2016-08-09 09:24:54	ga_ls7e_ard_3-0-0_090089_2016-08-08_final
2016-09-26 09:25:02	ga_ls7e_ard_3-0-0_090089_2016-09-25_final
2016-10-10 09:37:24	ga_ls7e_ard_3-0-0_092089_2016-10-10_final
2016-10-12 09:25:02	ga_ls7e_ard_3-0-0_090089_2016-10-11_final
2016-10-28 09:24:59	ga_ls7e_ard_3-0-0_090089_2016-10-27_final
2016-12-15 09:24:44	ga_ls7e_ard_3-0-0_090089_2016-12-14_final
2017-02-24 09:30:30	ga_ls7e_ard_3-0-0_091089_2017-02-24_final
2018-01-03 09:24:26	ga_ls7e_ard_3-0-0_090089_2018-01-02_final
2018-01-10 09:30:31	ga_ls7e_ard_3-0-0_091089_2018-01-10_final
2018-01-19 09:24:12	ga_ls7e_ard_3-0-0_090089_2018-01-18_final
2018-02-11 09:30:01	ga_ls7e_ard_3-1-0_091089_2018-02-11_final
2018-03-06 09:35:58	ga_ls7e_ard_3-0-0_092089_2018-03-06_final
2018-03-22 09:35:46	ga_ls7e_ard_3-0-0_092089_2018-03-22_final
2018-05-02 09:28:55	ga_ls7e_ard_3-0-0_091089_2018-05-01_final
2018-05-18 09:28:39	ga_ls7e_ard_3-0-0_091089_2018-05-17_final
2018-05-25 09:34:43	ga_ls7e_ard_3-0-0_092089_2018-05-25_final
2018-06-03 09:28:23	ga_ls7e_ard_3-0-0_091089_2018-06-02_final
2018-07-05 09:27:47	ga_ls7e_ard_3-0-0_091089_2018-07-04_final
2018-07-21 09:27:30	ga_ls7e_ard_3-0-0_091089_2018-07-20_final
2018-07-28 09:33:33	ga_ls7e_ard_3-0-0_092089_2018-07-28_final
2018-07-30 09:21:09	ga_ls7e_ard_3-0-0_090089_2018-07-29_final
2018-09-14 09:32:36	ga_ls7e_ard_3-0-0_092089_2018-09-14_final
2018-09-16 09:20:11	ga_ls7e_ard_3-0-0_090089_2018-09-15_final
2018-09-23 09:26:12	ga_ls7e_ard_3-0-0_091089_2018-09-22_final
2018-10-02 09:19:49	ga_ls7e_ard_3-0-0_090089_2018-10-01_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
2018-11-26 09:24:42	ga_ls7e_ard_3-0-0_091089_2018-11-25_final
2018-12-05 09:18:18	ga_ls7e_ard_3-0-0_090089_2018-12-04_final
2018-12-21 09:17:51	ga_ls7e_ard_3-0-0_090089_2018-12-20_final
2019-01-13 09:23:20	ga_ls7e_ard_3-0-0_091089_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
2019-04-12 09:14:17	ga_ls7e_ard_3-0-0_090089_2019-04-11_final
2019-04-26 09:26:08	ga_ls7e_ard_3-0-0_092089_2019-04-25_final
2019-04-28 09:13:42	ga_ls7e_ard_3-0-0_090089_2019-04-27_final
2019-05-21 09:18:59	ga_ls7e_ard_3-0-0_091089_2019-05-20_final
2019-07-24 09:16:35	ga_ls7e_ard_3-0-0_091089_2019-07-23_final
2019-08-02 09:10:03	ga_ls7e_ard_3-0-0_090089_2019-08-01_final
2019-08-18 09:09:23	ga_ls7e_ard_3-0-0_090089_2019-08-17_final
2019-09-03 09:08:42	ga_ls7e_ard_3-1-0_090089_2019-09-02_final
2019-09-10 09:14:34	ga_ls7e_ard_3-1-0_091089_2019-09-09_final
2019-12-06 09:16:53	ga_ls7e_ard_3-1-0_092089_2019-12-05_final
2019-12-08 09:04:25	ga_ls7e_ard_3-1-0_090089_2019-12-07_final
2019-12-31 09:09:25	ga_ls7e_ard_3-1-0_091089_2019-12-30_final
2020-01-09 09:02:22	ga_ls7e_ard_3-1-0_090088_2020-01-08_final
2020-01-09 09:02:46	ga_ls7e_ard_3-1-0_090089_2020-01-08_final
2020-01-14 09:20:40	ga_ls7e_ard_3-1-0_093088_2020-01-13_final
2020-01-16 09:08:37	ga_ls7e_ard_3-1-0_091089_2020-01-15_final
2020-02-08 09:13:14	ga_ls7e_ard_3-1-0_092088_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