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
2009-09-05 09:24:49	ga_ls7e_ard_3-0-0_092089_2009-09-04_final
2009-10-16 09:18:37	ga_ls7e_ard_3-0-0_091089_2009-10-15_final
2009-10-16 09:19:01	ga_ls7e_ard_3-0-0_091090_2009-10-15_final
2009-10-18 09:06:41	ga_ls7e_ard_3-0-0_089090_2009-10-17_final
2010-01-13 09:13:46	ga_ls7e_ard_3-0-0_090089_2010-01-12_final
2010-01-13 09:14:10	ga_ls7e_ard_3-0-0_090090_2010-01-12_final
2010-03-11 09:08:13	ga_ls7e_ard_3-0-0_089089_2010-03-10_final
2010-03-11 09:08:37	ga_ls7e_ard_3-0-0_089090_2010-03-10_final
2010-03-16 09:26:47	ga_ls7e_ard_3-0-0_092089_2010-03-15_final
2014-11-06 09:32:52	ga_ls7e_ard_3-0-0_092089_2014-11-06_final
2014-11-15 09:26:43	ga_ls7e_ard_3-0-0_091089_2014-11-14_final
2014-11-15 09:27:07	ga_ls7e_ard_3-0-0_091090_2014-11-14_final
2014-11-17 09:14:21	ga_ls7e_ard_3-0-0_089089_2014-11-16_final
2014-11-17 09:14:45	ga_ls7e_ard_3-0-0_089090_2014-11-16_final
2014-11-22 09:32:55	ga_ls7e_ard_3-0-0_092089_2014-11-22_final
2014-12-24 09:33:11	ga_ls7e_ard_3-0-0_092089_2014-12-24_final
2014-12-26 09:20:49	ga_ls7e_ard_3-0-0_090089_2014-12-25_final
2014-12-26 09:21:13	ga_ls7e_ard_3-0-0_090090_2014-12-25_final
2015-01-02 09:26:59	ga_ls7e_ard_3-0-0_091089_2015-01-01_final
2015-01-02 09:27:23	ga_ls7e_ard_3-0-0_091090_2015-01-01_final
2015-01-04 09:14:38	ga_ls7e_ard_3-0-0_089089_2015-01-03_final
2015-01-04 09:15:02	ga_ls7e_ard_3-0-0_089090_2015-01-03_final
2015-01-09 09:33:13	ga_ls7e_ard_3-0-0_092089_2015-01-09_final
2015-01-11 09:20:51	ga_ls7e_ard_3-0-0_090089_2015-01-10_final
2015-01-11 09:21:15	ga_ls7e_ard_3-0-0_090090_2015-01-10_final
2015-01-18 09:27:01	ga_ls7e_ard_3-0-0_091089_2015-01-17_final
2015-01-18 09:27:25	ga_ls7e_ard_3-0-0_091090_2015-01-17_final
2015-01-20 09:14:39	ga_ls7e_ard_3-0-0_089089_2015-01-19_final
2015-01-20 09:15:03	ga_ls7e_ard_3-0-0_089090_2015-01-19_final
2015-01-27 09:20:55	ga_ls7e_ard_3-0-0_090089_2015-01-26_final
2015-01-27 09:21:19	ga_ls7e_ard_3-0-0_090090_2015-01-26_final
2015-02-10 09:33:20	ga_ls7e_ard_3-0-0_092089_2015-02-10_final
2015-02-12 09:20:57	ga_ls7e_ard_3-0-0_090089_2015-02-11_final
2015-02-12 09:21:21	ga_ls7e_ard_3-0-0_090090_2015-02-11_final
2015-03-16 09:21:15	ga_ls7e_ard_3-0-0_090089_2015-03-15_final
2015-03-16 09:21:39	ga_ls7e_ard_3-0-0_090090_2015-03-15_final
2015-04-08 09:27:38	ga_ls7e_ard_3-0-0_091089_2015-04-07_final
2015-04-10 09:15:17	ga_ls7e_ard_3-0-0_089089_2015-04-09_final
2015-04-26 09:15:23	ga_ls7e_ard_3-1-0_089089_2015-04-25_final
2015-05-01 09:33:57	ga_ls7e_ard_3-0-0_092089_2015-05-01_final
2015-05-03 09:21:36	ga_ls7e_ard_3-0-0_090089_2015-05-02_final
2015-05-03 09:22:00	ga_ls7e_ard_3-0-0_090090_2015-05-02_final
2015-05-19 09:21:45	ga_ls7e_ard_3-0-0_090089_2015-05-18_final
2015-05-19 09:22:08	ga_ls7e_ard_3-0-0_090090_2015-05-18_final
2015-05-26 09:27:55	ga_ls7e_ard_3-0-0_091089_2015-05-25_final
2015-05-26 09:28:19	ga_ls7e_ard_3-0-0_091090_2015-05-25_final
2015-05-28 09:15:35	ga_ls7e_ard_3-1-0_089089_2015-05-27_final
2015-05-28 09:15:59	ga_ls7e_ard_3-0-0_089090_2015-05-27_final
2015-06-11 09:28:04	ga_ls7e_ard_3-0-0_091089_2015-06-10_final
2015-06-11 09:28:28	ga_ls7e_ard_3-0-0_091090_2015-06-10_final
2015-06-13 09:15:43	ga_ls7e_ard_3-0-0_089089_2015-06-12_final
2015-06-13 09:16:07	ga_ls7e_ard_3-0-0_089090_2015-06-12_final
2015-06-18 09:34:16	ga_ls7e_ard_3-0-0_092089_2015-06-18_final
2015-06-20 09:21:54	ga_ls7e_ard_3-0-0_090089_2015-06-19_final
2015-06-20 09:22:18	ga_ls7e_ard_3-0-0_090090_2015-06-19_final
2015-06-29 09:15:44	ga_ls7e_ard_3-0-0_089089_2015-06-28_final
2015-06-29 09:16:08	ga_ls7e_ard_3-0-0_089090_2015-06-28_final
2015-07-06 09:21:58	ga_ls7e_ard_3-0-0_090089_2015-07-05_final
2015-07-06 09:22:22	ga_ls7e_ard_3-0-0_090090_2015-07-05_final
2015-08-30 09:28:18	ga_ls7e_ard_3-0-0_091089_2015-08-29_final
2015-08-30 09:28:42	ga_ls7e_ard_3-0-0_091090_2015-08-29_final
2015-09-01 09:15:56	ga_ls7e_ard_3-0-0_089089_2015-08-31_final
2015-09-01 09:16:20	ga_ls7e_ard_3-0-0_089090_2015-08-31_final
2015-09-06 09:34:31	ga_ls7e_ard_3-0-0_092089_2015-09-06_final
2015-09-08 09:22:10	ga_ls7e_ard_3-0-0_090089_2015-09-07_final
2015-09-24 09:22:15	ga_ls7e_ard_3-0-0_090089_2015-09-23_final
2015-09-24 09:22:39	ga_ls7e_ard_3-0-0_090090_2015-09-23_final
2015-10-24 09:35:00	ga_ls7e_ard_3-0-0_092089_2015-10-24_final
2015-11-09 09:35:15	ga_ls7e_ard_3-0-0_092089_2015-11-09_final
2015-11-11 09:23:19	ga_ls7e_ard_3-0-0_090090_2015-11-10_final
2015-11-27 09:23:10	ga_ls7e_ard_3-0-0_090089_2015-11-26_final
2015-11-27 09:23:34	ga_ls7e_ard_3-0-0_090090_2015-11-26_final
2015-12-20 09:29:43	ga_ls7e_ard_3-0-0_091089_2015-12-19_final
2015-12-22 09:17:23	ga_ls7e_ard_3-0-0_089089_2015-12-21_final
2015-12-22 09:17:47	ga_ls7e_ard_3-0-0_089090_2015-12-21_final
2015-12-27 09:35:58	ga_ls7e_ard_3-0-0_092089_2015-12-27_final
2015-12-29 09:24:02	ga_ls7e_ard_3-0-0_090090_2015-12-28_final
2016-02-08 09:17:57	ga_ls7e_ard_3-0-0_089089_2016-02-07_final
2016-02-08 09:18:21	ga_ls7e_ard_3-0-0_089090_2016-02-07_final
2016-02-15 09:24:10	ga_ls7e_ard_3-0-0_090089_2016-02-14_final
2016-03-16 09:36:45	ga_ls7e_ard_3-0-0_092089_2016-03-16_final
2016-03-27 09:18:15	ga_ls7e_ard_3-1-0_089089_2016-03-26_final
2016-03-27 09:18:39	ga_ls7e_ard_3-0-0_089090_2016-03-26_final
2016-04-01 09:36:49	ga_ls7e_ard_3-0-0_092089_2016-04-01_final
2016-04-12 09:18:21	ga_ls7e_ard_3-0-0_089089_2016-04-11_final
2016-04-12 09:18:45	ga_ls7e_ard_3-0-0_089090_2016-04-11_final
2016-04-26 09:31:13	ga_ls7e_ard_3-0-0_091090_2016-04-26_final
2016-05-12 09:30:52	ga_ls7e_ard_3-0-0_091089_2016-05-12_final
2016-09-26 09:25:02	ga_ls7e_ard_3-0-0_090089_2016-09-25_final
2016-09-26 09:25:26	ga_ls7e_ard_3-0-0_090090_2016-09-25_final
2016-10-28 09:24:59	ga_ls7e_ard_3-0-0_090089_2016-10-27_final
2016-10-28 09:25:23	ga_ls7e_ard_3-0-0_090090_2016-10-27_final
2017-11-30 09:37:09	ga_ls7e_ard_3-0-0_092089_2017-11-30_final
2018-03-31 09:29:27	ga_ls7e_ard_3-0-0_091089_2018-03-30_final
2018-09-23 09:26:12	ga_ls7e_ard_3-0-0_091089_2018-09-22_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
2019-04-12 09:14:17	ga_ls7e_ard_3-0-0_090089_2019-04-11_final
2019-04-12 09:14:41	ga_ls7e_ard_3-0-0_090090_2019-04-11_final
2019-05-30 09:12:29	ga_ls7e_ard_3-0-0_090089_2019-05-29_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