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
2005-12-01 09:11:52	ga_ls7e_ard_3-0-0_090089_2005-11-30_final
2005-12-01 09:12:16	ga_ls7e_ard_3-0-0_090090_2005-11-30_final
2005-12-08 09:18:05	ga_ls7e_ard_3-0-0_091089_2005-12-07_final
2005-12-08 09:18:28	ga_ls7e_ard_3-0-0_091090_2005-12-07_final
2005-12-26 09:05:48	ga_ls7e_ard_3-1-0_089089_2005-12-25_final
2006-01-02 09:12:03	ga_ls7e_ard_3-0-0_090089_2006-01-01_final
2006-01-02 09:12:27	ga_ls7e_ard_3-0-0_090090_2006-01-01_final
2006-04-08 09:12:20	ga_ls7e_ard_3-0-0_090089_2006-04-07_final
2006-04-08 09:12:44	ga_ls7e_ard_3-0-0_090090_2006-04-07_final
2006-05-03 09:06:09	ga_ls7e_ard_3-0-0_089089_2006-05-02_final
2006-05-03 09:06:33	ga_ls7e_ard_3-0-0_089090_2006-05-02_final
2006-05-19 09:06:11	ga_ls7e_ard_3-0-0_089089_2006-05-18_final
2006-05-19 09:06:35	ga_ls7e_ard_3-0-0_089090_2006-05-18_final
2006-06-04 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-06-03_final
2010-05-28 09:20:59	ga_ls7e_ard_3-0-0_091090_2010-05-27_final
2010-09-17 09:20:45	ga_ls7e_ard_3-0-0_091089_2010-09-16_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
2015-08-23 09:22:32	ga_ls7e_ard_3-0-0_090090_2015-08-22_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
2015-10-10 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
2015-11-27 09:23:34	ga_ls7e_ard_3-0-0_090090_2015-11-26_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
2016-01-05 09:30:20	ga_ls7e_ard_3-0-0_091090_2016-01-05_final
2016-01-21 09:30:34	ga_ls7e_ard_3-0-0_091090_2016-01-21_final
2016-03-02 09:24:39	ga_ls7e_ard_3-0-0_090090_2016-03-01_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
2016-05-05 09:25:04	ga_ls7e_ard_3-0-0_090090_2016-05-04_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
2018-09-16 09:20:35	ga_ls7e_ard_3-0-0_090090_2018-09-15_final
2018-10-02 09:19:49	ga_ls7e_ard_3-0-0_090089_2018-10-01_final
2018-10-02 09:20:13	ga_ls7e_ard_3-0-0_090090_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
2018-11-03 09:19:29	ga_ls7e_ard_3-0-0_090090_2018-11-02_final
2018-11-10 09:25:06	ga_ls7e_ard_3-0-0_091089_2018-11-09_final
2018-11-19 09:18:42	ga_ls7e_ard_3-0-0_090089_2018-11-18_final
2018-11-19 09:19:06	ga_ls7e_ard_3-0-0_090090_2018-11-18_final
2018-11-26 09:24:42	ga_ls7e_ard_3-0-0_091089_2018-11-25_final
2018-11-26 09:25:06	ga_ls7e_ard_3-0-0_091090_2018-11-25_final
2018-12-05 09:18:18	ga_ls7e_ard_3-0-0_090089_2018-12-04_final
2018-12-05 09:18:42	ga_ls7e_ard_3-0-0_090090_2018-12-04_final
2018-12-12 09:24:17	ga_ls7e_ard_3-0-0_091089_2018-12-11_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
2019-01-04 09:29:47	ga_ls7e_ard_3-1-0_092089_2019-01-03_final
2019-01-06 09:17:22	ga_ls7e_ard_3-0-0_090089_2019-01-05_final
2019-01-06 09:17:46	ga_ls7e_ard_3-0-0_090090_2019-01-05_final
2019-01-13 09:23:20	ga_ls7e_ard_3-0-0_091089_2019-01-12_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
2019-02-05 09:28:47	ga_ls7e_ard_3-0-0_092089_2019-02-04_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
2019-03-11 09:15:22	ga_ls7e_ard_3-1-0_090089_2019-03-10_final
2019-03-18 09:21:19	ga_ls7e_ard_3-1-0_091089_2019-03-17_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
2019-04-10 09:26:43	ga_ls7e_ard_3-0-0_092089_2019-04-09_final
2019-04-19 09:20:12	ga_ls7e_ard_3-0-0_091089_2019-04-18_final
2019-04-19 09:20:36	ga_ls7e_ard_3-0-0_091090_2019-04-18_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
2019-04-28 09:14:06	ga_ls7e_ard_3-0-0_090090_2019-04-27_final
2019-05-12 09:25:31	ga_ls7e_ard_3-0-0_092089_2019-05-11_final
2019-05-14 09:13:05	ga_ls7e_ard_3-0-0_090089_2019-05-13_final
2019-05-14 09:13:29	ga_ls7e_ard_3-0-0_090090_2019-05-13_final
2019-05-21 09:18:59	ga_ls7e_ard_3-0-0_091089_2019-05-20_final
2019-06-06 09:18:25	ga_ls7e_ard_3-0-0_091089_2019-06-05_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
2019-09-03 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
2019-09-10 09:14:34	ga_ls7e_ard_3-1-0_091089_2019-09-09_final
2019-09-10 09:14:58	ga_ls7e_ard_3-1-0_091090_2019-09-09_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
2019-10-12 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
2019-12-06 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
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_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
2020-01-25 09:01:59	ga_ls7e_ard_3-1-0_090089_2020-01-24_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-02-08 09:13:38	ga_ls7e_ard_3-1-0_092089_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