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

54 results

Time (local)	Label
1999-09-04 09:59:53	ga_ls7e_ard_3-0-0_098077_1999-09-04_final
2000-05-29 10:25:12	ga_ls7e_ard_3-0-0_102081_2000-05-29_final
2000-06-16 10:11:09	ga_ls7e_ard_3-0-0_100077_2000-06-16_final
2000-07-28 10:46:47	ga_ls7e_ard_3-1-0_106075_2000-07-28_final
2000-09-18 10:23:46	ga_ls7e_ard_3-0-0_102081_2000-09-18_final
2002-04-01 10:22:02	ga_ls7e_ard_3-0-0_102081_2002-04-01_final
2002-09-02 10:55:32	ga_ls7e_ard_3-0-0_108074_2002-09-02_final
2002-09-16 11:08:07	ga_ls7e_ard_3-0-0_110075_2002-09-16_final
2003-03-31 10:44:17	ga_ls7e_ard_3-1-0_106075_2003-03-31_final
2003-04-16 10:44:20	ga_ls7e_ard_3-1-0_106075_2003-04-16_final
2003-11-25 10:02:11	ga_ls7e_ard_3-0-0_099078_2003-11-25_final
2005-02-07 09:17:12	ga_ls7e_ard_3-0-0_091087_2005-02-06_final
2005-04-27 10:09:16	ga_ls7e_ard_3-0-0_100078_2005-04-27_final
2005-10-20 10:08:29	ga_ls7e_ard_3-0-0_100077_2005-10-20_final
2006-04-04 09:36:16	ga_ls7e_ard_3-0-0_094087_2006-04-04_final
2006-07-01 10:23:10	ga_ls7e_ard_3-0-0_102081_2006-07-01_final
2006-11-20 10:36:00	ga_ls7e_ard_3-0-0_104082_2006-11-20_final
2007-03-08 09:24:21	ga_ls7e_ard_3-0-0_092087_2007-03-07_final
2007-06-13 10:03:47	ga_ls7e_ard_3-0-0_099078_2007-06-13_final
2007-08-23 10:09:17	ga_ls7e_ard_3-0-0_100077_2007-08-23_final
2007-10-02 09:24:23	ga_ls7e_ard_3-0-0_092089_2007-10-01_final
2008-01-28 10:20:24	ga_ls7e_ard_3-0-0_102073_2008-01-28_final
2008-03-27 09:59:41	ga_ls7e_ard_3-0-0_099068_2008-03-27_final
2008-06-07 10:49:35	ga_ls7e_ard_3-0-0_107070_2008-06-07_final
2009-01-10 09:11:33	ga_ls7e_ard_3-0-0_090088_2009-01-09_final
2009-02-04 10:38:47	ga_ls7e_ard_3-0-0_105074_2009-02-04_final
2010-04-22 11:22:17	ga_ls7e_ard_3-0-0_111084_2010-04-22_final
2011-04-14 10:03:21	ga_ls7e_ard_3-0-0_098084_2011-04-14_final
2011-07-01 10:15:13	ga_ls7e_ard_3-0-0_100083_2011-07-01_final
2012-04-10 09:01:11	ga_ls7e_ard_3-0-0_088082_2012-04-09_final
2012-07-27 11:02:51	ga_ls7e_ard_3-0-0_108075_2012-07-27_final
2013-04-23 09:36:32	ga_ls7e_ard_3-0-0_094073_2013-04-23_final
2013-12-15 10:06:28	ga_ls7e_ard_3-0-0_098085_2013-12-15_final
2015-02-12 09:19:45	ga_ls7e_ard_3-0-0_090086_2015-02-11_final
2015-08-19 09:40:28	ga_ls7e_ard_3-0-0_094073_2015-08-19_final
2016-03-26 11:43:59	ga_ls7e_ard_3-0-0_114067_2016-03-26_final
2017-03-28 11:03:36	ga_ls7e_ard_3-0-0_107074_2017-03-28_final
2017-07-26 10:15:46	ga_ls7e_ard_3-0-0_099077_2017-07-26_final
2017-10-03 10:35:51	ga_ls7e_ard_3-0-0_102081_2017-10-03_final
2017-10-12 10:30:06	ga_ls7e_ard_3-0-0_101082_2017-10-12_final
2018-02-17 10:28:58	ga_ls7e_ard_3-0-0_101082_2018-02-17_final
2018-03-18 11:30:38	ga_ls7e_ard_3-0-0_112067_2018-03-18_final
2018-12-26 11:12:44	ga_ls7e_ard_3-0-0_109083_2018-12-26_final
2019-08-22 10:20:11	ga_ls7e_ard_3-0-0_102081_2019-08-22_final
2019-09-20 11:24:06	ga_ls7e_ard_3-1-0_113074_2019-09-20_final
2019-09-23 10:18:47	ga_ls7e_ard_3-1-0_102081_2019-09-23_final
2020-01-16 09:06:13	ga_ls7e_ard_3-1-0_091083_2020-01-15_final
2020-04-07 10:27:35	ga_ls7e_ard_3-1-0_105081_2020-04-07_final
2020-06-10 08:46:29	ga_ls7e_ard_3-1-0_089085_2020-06-09_final
2020-07-11 09:37:28	ga_ls7e_ard_3-1-0_098078_2020-07-11_final
2021-01-02 08:46:05	ga_ls7e_ard_3-1-0_091087_2021-01-01_final
2021-05-22 08:51:49	ga_ls7e_ard_3-2-0_095067_2021-05-21_final
2021-08-14 08:29:08	ga_ls7e_ard_3-2-0_091090_2021-08-13_final
2021-08-17 08:58:10	ga_ls7e_ard_3-2-0_096086_2021-08-16_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