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

51 results

Time (local)	Label
1999-07-10 09:10:17	ga_ls7e_ard_3-0-0_090077_1999-07-09_final
1999-07-27 11:34:53	ga_ls7e_ard_3-0-0_113083_1999-07-27_final
2000-10-03 11:16:31	ga_ls7e_ard_3-0-0_111074_2000-10-03_final
2002-02-24 10:44:30	ga_ls7e_ard_3-1-0_106075_2002-02-24_final
2002-03-02 10:08:16	ga_ls7e_ard_3-0-0_100077_2002-03-02_final
2002-03-03 10:48:43	ga_ls7e_ard_3-0-0_107070_2002-03-03_final
2002-07-21 09:35:06	ga_ls7e_ard_3-1-0_095073_2002-07-21_final
2003-04-16 10:44:20	ga_ls7e_ard_3-1-0_106075_2003-04-16_final
2003-05-05 09:33:10	ga_ls7e_ard_3-0-0_095067_2003-05-05_final
2003-08-13 10:48:10	ga_ls7e_ard_3-0-0_107070_2003-08-13_final
2003-08-13 10:50:10	ga_ls7e_ard_3-0-0_107075_2003-08-13_final
2003-08-28 10:07:40	ga_ls7e_ard_3-0-0_100077_2003-08-28_final
2003-10-13 10:21:22	ga_ls7e_ard_3-0-0_102081_2003-10-13_final
2003-11-30 10:21:55	ga_ls7e_ard_3-0-0_102081_2003-11-30_final
2004-01-12 10:02:26	ga_ls7e_ard_3-0-0_099078_2004-01-12_final
2004-11-23 10:24:52	ga_ls7e_ard_3-0-0_103072_2004-11-23_final
2004-12-29 11:42:08	ga_ls7e_ard_3-0-0_115079_2004-12-29_final
2005-03-29 10:39:04	ga_ls7e_ard_3-0-0_105075_2005-03-29_final
2005-07-19 10:38:49	ga_ls7e_ard_3-0-0_105075_2005-07-19_final
2005-07-27 09:53:22	ga_ls7e_ard_3-0-0_097085_2005-07-27_final
2005-08-24 10:17:09	ga_ls7e_ard_3-0-0_101083_2005-08-24_final
2006-04-20 09:36:12	ga_ls7e_ard_3-0-0_094087_2006-04-20_final
2006-07-02 09:29:08	ga_ls7e_ard_3-0-0_093085_2006-07-01_final
2007-01-05 10:45:00	ga_ls7e_ard_3-0-0_106073_2007-01-05_final
2007-03-15 11:04:39	ga_ls7e_ard_3-0-0_109075_2007-03-15_final
2008-05-20 11:04:05	ga_ls7e_ard_3-0-0_109075_2008-05-20_final
2008-09-23 11:14:31	ga_ls7e_ard_3-0-0_111073_2008-09-23_final
2008-11-30 10:49:54	ga_ls7e_ard_3-0-0_107072_2008-11-30_final
2009-05-23 11:04:34	ga_ls7e_ard_3-0-0_109075_2009-05-23_final
2009-10-21 09:36:03	ga_ls7e_ard_3-0-0_094086_2009-10-21_final
2009-11-29 09:38:22	ga_ls7e_ard_3-0-0_095075_2009-11-29_final
2010-09-25 10:06:12	ga_ls7e_ard_3-0-0_099079_2010-09-25_final
2010-12-30 10:04:17	ga_ls7e_ard_3-0-0_099072_2010-12-30_final
2011-03-16 10:29:24	ga_ls7e_ard_3-0-0_103072_2011-03-16_final
2012-01-31 11:15:09	ga_ls7e_ard_3-0-0_110077_2012-01-31_final
2013-09-28 09:53:56	ga_ls7e_ard_3-1-0_096086_2013-09-28_final
2013-09-28 11:25:14	ga_ls7e_ard_3-0-0_112067_2013-09-28_final
2013-10-25 11:10:11	ga_ls7e_ard_3-0-0_109075_2013-10-25_final
2014-04-15 11:35:31	ga_ls7e_ard_3-0-0_113074_2014-04-15_final
2015-09-11 09:51:54	ga_ls7e_ard_3-0-0_095086_2015-09-11_final
2015-12-21 10:11:23	ga_ls7e_ard_3-0-0_098085_2015-12-21_final
2016-01-12 11:09:32	ga_ls7e_ard_3-0-0_108075_2016-01-12_final
2018-11-21 10:42:23	ga_ls7e_ard_3-0-0_104082_2018-11-21_final
2019-02-24 11:36:00	ga_ls7e_ard_3-1-0_113084_2019-02-24_final
2019-06-24 10:39:05	ga_ls7e_ard_3-0-0_105076_2019-06-24_final
2020-02-13 11:02:25	ga_ls7e_ard_3-1-0_111068_2020-02-13_final
2020-05-16 10:29:02	ga_ls7e_ard_3-1-0_106075_2020-05-16_final
2020-08-04 08:50:32	ga_ls7e_ard_3-1-0_090088_2020-08-03_final
2021-07-05 10:55:45	ga_ls7e_ard_3-2-0_115077_2021-07-05_final
2021-10-08 08:24:30	ga_ls7e_ard_3-2-0_092075_2021-10-07_final
2022-02-04 09:58:11	ga_ls7e_ard_3-2-1_109075_2022-02-04_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