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
2004-08-04 09:35:00	ga_ls7e_ard_3-0-0_094087_2004-08-04_final
2004-08-06 09:22:15	ga_ls7e_ard_3-0-0_092086_2004-08-05_final
2004-08-06 09:22:39	ga_ls7e_ard_3-0-0_092087_2004-08-05_final
2004-08-08 09:09:54	ga_ls7e_ard_3-0-0_090086_2004-08-07_final
2004-08-11 09:40:48	ga_ls7e_ard_3-0-0_095086_2004-08-11_final
2004-08-24 09:09:52	ga_ls7e_ard_3-0-0_090086_2004-08-23_final
2004-10-11 09:09:37	ga_ls7e_ard_3-0-0_090086_2004-10-10_final
2004-11-01 09:28:53	ga_ls7e_ard_3-1-0_093087_2004-10-31_final
2004-11-03 09:16:09	ga_ls7e_ard_3-1-0_091086_2004-11-02_final
2004-12-01 09:41:06	ga_ls7e_ard_3-0-0_095086_2004-12-01_final
2004-12-03 09:28:45	ga_ls7e_ard_3-0-0_093086_2004-12-02_final
2004-12-03 09:29:09	ga_ls7e_ard_3-1-0_093087_2004-12-02_final
2005-02-21 09:29:16	ga_ls7e_ard_3-0-0_093086_2005-02-20_final
2005-02-23 09:16:55	ga_ls7e_ard_3-1-0_091086_2005-02-22_final
2005-02-23 09:17:19	ga_ls7e_ard_3-0-0_091087_2005-02-22_final
2005-02-26 09:47:50	ga_ls7e_ard_3-1-0_096086_2005-02-26_final
2005-02-28 09:35:29	ga_ls7e_ard_3-0-0_094086_2005-02-28_final
2005-02-28 09:35:53	ga_ls7e_ard_3-0-0_094087_2005-02-28_final
2005-03-02 09:23:08	ga_ls7e_ard_3-0-0_092086_2005-03-01_final
2005-03-02 09:23:32	ga_ls7e_ard_3-0-0_092087_2005-03-01_final
2005-03-09 09:29:20	ga_ls7e_ard_3-0-0_093086_2005-03-08_final
2005-03-11 09:16:58	ga_ls7e_ard_3-1-0_091086_2005-03-10_final
2005-03-11 09:17:22	ga_ls7e_ard_3-0-0_091087_2005-03-10_final
2009-11-17 09:18:18	ga_ls7e_ard_3-0-0_091087_2009-11-16_final
2010-01-09 09:37:38	ga_ls7e_ard_3-0-0_094087_2010-01-09_final
2010-01-11 09:25:18	ga_ls7e_ard_3-0-0_092087_2010-01-10_final
2013-07-07 09:23:07	ga_ls7e_ard_3-0-0_091087_2013-07-06_final
2013-07-12 09:41:37	ga_ls7e_ard_3-0-0_094087_2013-07-12_final
2016-07-20 09:48:47	ga_ls7e_ard_3-0-0_094087_2016-07-20_final
2016-09-06 09:48:55	ga_ls7e_ard_3-0-0_094087_2016-09-06_final
2016-09-08 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-09-08_final
2016-11-27 09:35:58	ga_ls7e_ard_3-0-0_092086_2016-11-27_final
2016-12-02 09:54:54	ga_ls7e_ard_3-0-0_095087_2016-12-02_final
2017-01-03 09:54:16	ga_ls7e_ard_3-0-0_095086_2017-01-03_final
2017-01-05 09:41:53	ga_ls7e_ard_3-0-0_093086_2017-01-05_final
2017-01-05 09:42:17	ga_ls7e_ard_3-1-0_093087_2017-01-05_final
2017-01-07 09:29:54	ga_ls7e_ard_3-1-0_091087_2017-01-06_final
2017-01-10 10:00:22	ga_ls7e_ard_3-1-0_096086_2017-01-10_final
2017-01-12 09:48:23	ga_ls7e_ard_3-0-0_094087_2017-01-12_final
2017-03-08 09:54:31	ga_ls7e_ard_3-0-0_095087_2017-03-08_final
2017-03-10 09:42:10	ga_ls7e_ard_3-0-0_093087_2017-03-10_final
2017-04-27 09:42:27	ga_ls7e_ard_3-1-0_093087_2017-04-27_final
2017-05-20 09:48:43	ga_ls7e_ard_3-0-0_094087_2017-05-20_final
2017-05-22 09:36:21	ga_ls7e_ard_3-0-0_092087_2017-05-22_final
2017-08-03 09:30:18	ga_ls7e_ard_3-0-0_091087_2017-08-03_final
2017-08-06 10:00:48	ga_ls7e_ard_3-1-0_096086_2017-08-06_final
2017-12-23 09:42:18	ga_ls7e_ard_3-1-0_093087_2017-12-23_final
2018-01-15 09:47:47	ga_ls7e_ard_3-0-0_094086_2018-01-15_final
2018-01-17 09:35:47	ga_ls7e_ard_3-0-0_092087_2018-01-17_final
2018-02-09 09:41:36	ga_ls7e_ard_3-0-0_093087_2018-02-09_final
2018-02-11 09:29:13	ga_ls7e_ard_3-0-0_091087_2018-02-10_final
2018-02-16 09:47:43	ga_ls7e_ard_3-0-0_094087_2018-02-16_final
2018-02-18 09:34:56	ga_ls7e_ard_3-0-0_092086_2018-02-18_final
2018-02-18 09:35:20	ga_ls7e_ard_3-0-0_092087_2018-02-18_final
2018-03-06 09:35:10	ga_ls7e_ard_3-0-0_092087_2018-03-06_final
2018-03-20 09:46:57	ga_ls7e_ard_3-0-0_094086_2018-03-20_final
2018-03-22 09:34:58	ga_ls7e_ard_3-0-0_092087_2018-03-22_final
2018-04-21 09:46:51	ga_ls7e_ard_3-0-0_094087_2018-04-21_final
2018-04-28 09:52:54	ga_ls7e_ard_3-0-0_095087_2018-04-28_final
2018-04-30 09:40:07	ga_ls7e_ard_3-0-0_093086_2018-04-30_final
2018-04-30 09:40:31	ga_ls7e_ard_3-0-0_093087_2018-04-30_final
2018-05-02 09:28:07	ga_ls7e_ard_3-0-0_091087_2018-05-01_final
2018-05-25 09:33:31	ga_ls7e_ard_3-0-0_092086_2018-05-25_final
2018-05-25 09:33:55	ga_ls7e_ard_3-0-0_092087_2018-05-25_final
2018-05-30 09:51:59	ga_ls7e_ard_3-0-0_095086_2018-05-30_final
2018-05-30 09:52:23	ga_ls7e_ard_3-0-0_095087_2018-05-30_final
2018-06-01 09:39:35	ga_ls7e_ard_3-0-0_093086_2018-06-01_final
2018-06-01 09:39:59	ga_ls7e_ard_3-0-0_093087_2018-06-01_final
2018-06-03 09:27:36	ga_ls7e_ard_3-0-0_091087_2018-06-02_final
2018-06-05 09:14:48	ga_ls7e_ard_3-0-0_089086_2018-06-04_final
2018-06-06 09:58:03	ga_ls7e_ard_3-1-0_096086_2018-06-06_final
2018-06-15 09:51:42	ga_ls7e_ard_3-0-0_095086_2018-06-15_final
2018-06-17 09:39:42	ga_ls7e_ard_3-1-0_093087_2018-06-17_final
2018-06-19 09:26:54	ga_ls7e_ard_3-1-0_091086_2018-06-18_final
2018-06-19 09:27:18	ga_ls7e_ard_3-0-0_091087_2018-06-18_final
2018-06-24 09:45:21	ga_ls7e_ard_3-0-0_094086_2018-06-24_final
2018-06-26 09:32:57	ga_ls7e_ard_3-0-0_092086_2018-06-26_final
2018-06-26 09:33:21	ga_ls7e_ard_3-0-0_092087_2018-06-26_final
2018-07-21 09:26:42	ga_ls7e_ard_3-0-0_091087_2018-07-20_final
2018-07-26 09:45:09	ga_ls7e_ard_3-0-0_094087_2018-07-26_final
2018-07-28 09:32:45	ga_ls7e_ard_3-0-0_092087_2018-07-28_final
2019-02-26 09:45:29	ga_ls7e_ard_3-1-0_095086_2019-02-26_final
2019-02-28 09:33:04	ga_ls7e_ard_3-1-0_093086_2019-02-28_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-02 09:20:39	ga_ls7e_ard_3-1-0_091086_2019-03-01_final
2019-03-02 09:21:03	ga_ls7e_ard_3-1-0_091087_2019-03-01_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-04-01 09:32:01	ga_ls7e_ard_3-0-0_093086_2019-04-01_final
2019-06-06 09:17:13	ga_ls7e_ard_3-1-0_091086_2019-06-05_final
2019-06-06 09:17:37	ga_ls7e_ard_3-0-0_091087_2019-06-05_final
2019-06-08 09:04:47	ga_ls7e_ard_3-0-0_089086_2019-06-07_final
2019-09-03 09:07:30	ga_ls7e_ard_3-1-0_090086_2019-09-02_final
2019-11-20 09:16:27	ga_ls7e_ard_3-1-0_092086_2019-11-19_final
2019-11-20 09:16:51	ga_ls7e_ard_3-1-0_092087_2019-11-19_final
2019-12-08 09:03:13	ga_ls7e_ard_3-1-0_090086_2019-12-07_final
2020-01-02 08:55:45	ga_ls7e_ard_3-1-0_089086_2020-01-01_final
2020-01-03 09:38:58	ga_ls7e_ard_3-1-0_096086_2020-01-03_final
2020-02-06 09:24:54	ga_ls7e_ard_3-1-0_094086_2020-02-05_final
2020-02-06 09:25:18	ga_ls7e_ard_3-1-0_094087_2020-02-05_final
2020-02-08 09:12:26	ga_ls7e_ard_3-1-0_092086_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