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
2009-10-09 09:12:43	ga_ls7e_ard_3-0-0_090090_2009-10-08_final
2009-10-25 09:12:59	ga_ls7e_ard_3-0-0_090090_2009-10-24_final
2009-11-01 09:19:17	ga_ls7e_ard_3-0-0_091090_2009-10-31_final
2009-11-19 09:06:46	ga_ls7e_ard_3-1-0_089089_2009-11-18_final
2009-11-19 09:07:10	ga_ls7e_ard_3-0-0_089090_2009-11-18_final
2009-11-26 09:13:26	ga_ls7e_ard_3-0-0_090090_2009-11-25_final
2009-12-12 09:13:37	ga_ls7e_ard_3-0-0_090090_2009-12-11_final
2010-01-04 09:20:12	ga_ls7e_ard_3-0-0_091090_2010-01-03_final
2010-01-22 09:08:07	ga_ls7e_ard_3-0-0_089090_2010-01-21_final
2010-01-29 09:14:24	ga_ls7e_ard_3-0-0_090090_2010-01-28_final
2010-02-14 09:14:35	ga_ls7e_ard_3-0-0_090090_2010-02-13_final
2010-02-23 09:08:29	ga_ls7e_ard_3-0-0_089090_2010-02-22_final
2010-03-25 09:20:39	ga_ls7e_ard_3-0-0_091089_2010-03-24_final
2010-03-25 09:21:03	ga_ls7e_ard_3-0-0_091090_2010-03-24_final
2014-11-17 09:14:45	ga_ls7e_ard_3-0-0_089090_2014-11-16_final
2014-12-17 09:26:58	ga_ls7e_ard_3-0-0_091089_2014-12-16_final
2014-12-17 09:27:22	ga_ls7e_ard_3-0-0_091090_2014-12-16_final
2014-12-19 09:14:38	ga_ls7e_ard_3-0-0_089089_2014-12-18_final
2014-12-19 09:15:02	ga_ls7e_ard_3-0-0_089090_2014-12-18_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 09:21:19	ga_ls7e_ard_3-0-0_090090_2015-01-26_final
2015-02-03 09:27:33	ga_ls7e_ard_3-0-0_091090_2015-02-02_final
2015-02-05 09:15:12	ga_ls7e_ard_3-0-0_089090_2015-02-04_final
2015-02-19 09:27:37	ga_ls7e_ard_3-0-0_091090_2015-02-18_final
2015-02-21 09:15:17	ga_ls7e_ard_3-0-0_089090_2015-02-20_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
2015-03-25 09:15:09	ga_ls7e_ard_3-0-0_089089_2015-03-24_final
2015-03-25 09:15:33	ga_ls7e_ard_3-0-0_089090_2015-03-24_final
2015-04-01 09:21:45	ga_ls7e_ard_3-0-0_090090_2015-03-31_final
2015-04-08 09:27:38	ga_ls7e_ard_3-0-0_091089_2015-04-07_final
2015-04-26 09:15:23	ga_ls7e_ard_3-1-0_089089_2015-04-25_final
2015-05-03 09:22:00	ga_ls7e_ard_3-0-0_090090_2015-05-02_final
2015-05-12 09:15:55	ga_ls7e_ard_3-0-0_089090_2015-05-11_final
2015-05-19 09:22:08	ga_ls7e_ard_3-0-0_090090_2015-05-18_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
2015-06-27 09:28:29	ga_ls7e_ard_3-0-0_091090_2015-06-26_final
2015-07-06 09:22:22	ga_ls7e_ard_3-0-0_090090_2015-07-05_final
2015-07-15 09:15:51	ga_ls7e_ard_3-1-0_089089_2015-07-14_final
2015-07-22 09:22:02	ga_ls7e_ard_3-0-0_090089_2015-07-21_final
2015-07-22 09:22:26	ga_ls7e_ard_3-0-0_090090_2015-07-21_final
2015-08-07 09:22:30	ga_ls7e_ard_3-0-0_090090_2015-08-06_final
2017-04-29 09:30:54	ga_ls7e_ard_3-0-0_091089_2017-04-29_final
2017-04-29 09:31:18	ga_ls7e_ard_3-0-0_091090_2017-04-29_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
2017-07-27 09:24:56	ga_ls7e_ard_3-0-0_090089_2017-07-26_final
2017-07-27 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-07-26_final
2017-08-19 09:31:28	ga_ls7e_ard_3-0-0_091090_2017-08-19_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
2018-09-23 09:26:12	ga_ls7e_ard_3-0-0_091089_2018-09-22_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
2019-07-01 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
2019-08-09 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
2019-09-03 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
2019-09-26 09:13:52	ga_ls7e_ard_3-1-0_091089_2019-09-25_final
2019-09-26 09:14:16	ga_ls7e_ard_3-1-0_091090_2019-09-25_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
2019-12-06 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
2019-12-22 09:16:04	ga_ls7e_ard_3-1-0_092089_2019-12-21_final
2019-12-24 09:03:36	ga_ls7e_ard_3-1-0_090089_2019-12-23_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_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