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
2005-03-20 09:12:23	ga_ls7e_ard_3-0-0_090090_2005-03-19_final
2005-04-05 09:12:19	ga_ls7e_ard_3-0-0_090090_2005-04-04_final
2005-04-12 09:18:27	ga_ls7e_ard_3-0-0_091090_2005-04-11_final
2005-04-21 09:12:13	ga_ls7e_ard_3-0-0_090090_2005-04-20_final
2005-04-30 09:06:05	ga_ls7e_ard_3-0-0_089090_2005-04-29_final
2005-05-16 09:06:07	ga_ls7e_ard_3-0-0_089090_2005-05-15_final
2005-05-23 09:12:17	ga_ls7e_ard_3-0-0_090090_2005-05-22_final
2005-06-15 09:18:19	ga_ls7e_ard_3-0-0_091090_2005-06-14_final
2005-06-17 09:05:57	ga_ls7e_ard_3-0-0_089090_2005-06-16_final
2005-07-10 09:12:07	ga_ls7e_ard_3-0-0_090090_2005-07-09_final
2005-07-17 09:18:17	ga_ls7e_ard_3-0-0_091090_2005-07-16_final
2005-07-19 09:05:56	ga_ls7e_ard_3-0-0_089090_2005-07-18_final
2005-07-26 09:12:06	ga_ls7e_ard_3-0-0_090090_2005-07-25_final
2005-08-02 09:18:16	ga_ls7e_ard_3-0-0_091090_2005-08-01_final
2005-08-04 09:05:54	ga_ls7e_ard_3-0-0_089090_2005-08-03_final
2005-08-27 09:11:56	ga_ls7e_ard_3-0-0_090090_2005-08-26_final
2005-09-03 09:18:03	ga_ls7e_ard_3-0-0_091090_2005-09-02_final
2005-09-05 09:05:40	ga_ls7e_ard_3-0-0_089090_2005-09-04_final
2005-09-12 09:11:46	ga_ls7e_ard_3-0-0_090090_2005-09-11_final
2005-09-19 09:17:56	ga_ls7e_ard_3-0-0_091090_2005-09-18_final
2005-09-21 09:05:35	ga_ls7e_ard_3-0-0_089090_2005-09-20_final
2005-09-28 09:11:45	ga_ls7e_ard_3-0-0_090090_2005-09-27_final
2005-10-14 09:11:47	ga_ls7e_ard_3-0-0_090090_2005-10-13_final
2005-10-30 09:12:00	ga_ls7e_ard_3-0-0_090090_2005-10-29_final
2008-06-07 09:18:41	ga_ls7e_ard_3-0-0_091090_2008-06-06_final
2008-06-16 09:12:25	ga_ls7e_ard_3-0-0_090090_2008-06-15_final
2008-07-02 09:12:15	ga_ls7e_ard_3-0-0_090090_2008-07-01_final
2008-07-25 09:18:09	ga_ls7e_ard_3-0-0_091090_2008-07-24_final
2008-08-28 09:05:34	ga_ls7e_ard_3-0-0_089090_2008-08-27_final
2008-09-11 09:17:49	ga_ls7e_ard_3-0-0_091090_2008-09-10_final
2008-09-13 09:05:26	ga_ls7e_ard_3-0-0_089090_2008-09-12_final
2008-09-20 09:11:33	ga_ls7e_ard_3-0-0_090090_2008-09-19_final
2008-09-27 09:17:39	ga_ls7e_ard_3-0-0_091090_2008-09-26_final
2008-09-29 09:05:17	ga_ls7e_ard_3-0-0_089090_2008-09-28_final
2008-10-29 09:17:46	ga_ls7e_ard_3-0-0_091090_2008-10-28_final
2008-12-02 09:05:52	ga_ls7e_ard_3-0-0_089090_2008-12-01_final
2015-01-11 09:21:15	ga_ls7e_ard_3-0-0_090090_2015-01-10_final
2015-02-05 09:15:12	ga_ls7e_ard_3-0-0_089090_2015-02-04_final
2015-02-12 09:21:21	ga_ls7e_ard_3-0-0_090090_2015-02-11_final
2015-03-25 09:15:33	ga_ls7e_ard_3-0-0_089090_2015-03-24_final
2015-05-19 09:22:08	ga_ls7e_ard_3-0-0_090090_2015-05-18_final
2015-06-11 09:28:28	ga_ls7e_ard_3-0-0_091090_2015-06-10_final
2015-07-06 09:22:22	ga_ls7e_ard_3-0-0_090090_2015-07-05_final
2017-12-18 09:25:01	ga_ls7e_ard_3-0-0_090090_2017-12-17_final
2018-01-03 09:24:50	ga_ls7e_ard_3-0-0_090090_2018-01-02_final
2018-01-10 09:30:55	ga_ls7e_ard_3-0-0_091090_2018-01-10_final
2018-01-19 09:24:36	ga_ls7e_ard_3-0-0_090090_2018-01-18_final
2018-01-26 09:30:40	ga_ls7e_ard_3-0-0_091090_2018-01-26_final
2018-02-04 09:24:20	ga_ls7e_ard_3-0-0_090090_2018-02-03_final
2018-02-20 09:24:09	ga_ls7e_ard_3-0-0_090090_2018-02-19_final
2018-02-27 09:30:16	ga_ls7e_ard_3-0-0_091090_2018-02-27_final
2018-03-08 09:23:59	ga_ls7e_ard_3-0-0_090090_2018-03-07_final
2018-04-09 09:23:32	ga_ls7e_ard_3-0-0_090090_2018-04-08_final
2018-04-16 09:29:36	ga_ls7e_ard_3-0-0_091090_2018-04-15_final
2018-04-25 09:23:16	ga_ls7e_ard_3-0-0_090090_2018-04-24_final
2018-05-27 09:22:44	ga_ls7e_ard_3-0-0_090090_2018-05-26_final
2018-06-12 09:22:27	ga_ls7e_ard_3-0-0_090090_2018-06-11_final
2018-06-19 09:28:30	ga_ls7e_ard_3-0-0_091090_2018-06-18_final
2018-06-28 09:22:09	ga_ls7e_ard_3-0-0_090090_2018-06-27_final
2018-07-05 09:28:11	ga_ls7e_ard_3-0-0_091090_2018-07-04_final
2018-07-14 09:21:50	ga_ls7e_ard_3-0-0_090090_2018-07-13_final
2018-07-30 09:21:33	ga_ls7e_ard_3-0-0_090090_2018-07-29_final
2018-10-02 09:20:13	ga_ls7e_ard_3-0-0_090090_2018-10-01_final
2018-10-18 09:19:49	ga_ls7e_ard_3-0-0_090090_2018-10-17_final
2018-11-26 09:25:06	ga_ls7e_ard_3-0-0_091090_2018-11-25_final
2018-12-05 09:18:42	ga_ls7e_ard_3-0-0_090090_2018-12-04_final
2018-12-28 09:24:13	ga_ls7e_ard_3-0-0_091090_2018-12-27_final
2019-01-06 09:17:46	ga_ls7e_ard_3-0-0_090090_2019-01-05_final
2019-01-13 09:23:43	ga_ls7e_ard_3-0-0_091090_2019-01-12_final
2019-01-29 09:23:12	ga_ls7e_ard_3-0-0_091090_2019-01-28_final
2019-02-23 09:16:17	ga_ls7e_ard_3-1-0_090090_2019-02-22_final
2019-03-02 09:22:14	ga_ls7e_ard_3-1-0_091090_2019-03-01_final
2019-03-11 09:15:46	ga_ls7e_ard_3-1-0_090090_2019-03-10_final
2019-03-27 09:15:14	ga_ls7e_ard_3-1-0_090090_2019-03-26_final
2019-04-03 09:21:11	ga_ls7e_ard_3-0-0_091090_2019-04-02_final
2019-04-19 09:20:36	ga_ls7e_ard_3-0-0_091090_2019-04-18_final
2019-04-28 09:14:06	ga_ls7e_ard_3-0-0_090090_2019-04-27_final
2019-05-05 09:20:00	ga_ls7e_ard_3-0-0_091090_2019-05-04_final
2019-05-14 09:13:29	ga_ls7e_ard_3-0-0_090090_2019-05-13_final
2019-06-15 09:12:18	ga_ls7e_ard_3-0-0_090090_2019-06-14_final
2019-06-22 09:18:14	ga_ls7e_ard_3-0-0_091090_2019-06-21_final
2019-07-01 09:11:43	ga_ls7e_ard_3-0-0_090090_2019-06-30_final
2019-08-02 09:10:27	ga_ls7e_ard_3-0-0_090090_2019-08-01_final
2019-08-09 09:16:20	ga_ls7e_ard_3-0-0_091090_2019-08-08_final
2019-08-18 09:09:47	ga_ls7e_ard_3-0-0_090090_2019-08-17_final
2019-08-25 09:15:40	ga_ls7e_ard_3-1-0_091090_2019-08-24_final
2019-09-03 09:09:06	ga_ls7e_ard_3-1-0_090090_2019-09-02_final
2019-09-10 09:14:58	ga_ls7e_ard_3-1-0_091090_2019-09-09_final
2019-09-19 09:08:24	ga_ls7e_ard_3-1-0_090090_2019-09-18_final
2019-09-26 09:14:16	ga_ls7e_ard_3-1-0_091090_2019-09-25_final
2019-10-05 09:07:43	ga_ls7e_ard_3-1-0_090090_2019-10-04_final
2019-10-12 09:13:36	ga_ls7e_ard_3-1-0_091090_2019-10-11_final
2019-10-21 09:07:03	ga_ls7e_ard_3-1-0_090090_2019-10-20_final
2019-10-28 09:12:55	ga_ls7e_ard_3-1-0_091090_2019-10-27_final
2019-11-06 09:06:20	ga_ls7e_ard_3-1-0_090090_2019-11-05_final
2019-11-22 09:05:36	ga_ls7e_ard_3-1-0_090090_2019-11-21_final
2019-11-29 09:11:26	ga_ls7e_ard_3-1-0_091090_2019-11-28_final
2019-12-08 09:04:49	ga_ls7e_ard_3-1-0_090090_2019-12-07_final
2019-12-24 09:04:00	ga_ls7e_ard_3-1-0_090090_2019-12-23_final
2020-01-09 09:03:10	ga_ls7e_ard_3-1-0_090090_2020-01-08_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