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

50 results

Time (local)	Label
1999-10-28 10:59:14	ga_ls7e_ard_3-0-0_108071_1999-10-28_final
2000-06-25 10:07:39	ga_ls7e_ard_3-0-0_099084_2000-06-25_final
2000-09-02 10:24:06	ga_ls7e_ard_3-0-0_102081_2000-09-02_final
2002-06-20 10:21:45	ga_ls7e_ard_3-0-0_102081_2002-06-20_final
2004-02-03 11:03:13	ga_ls7e_ard_3-0-0_109075_2004-02-03_final
2004-03-10 09:01:20	ga_ls7e_ard_3-0-0_089079_2004-03-09_final
2004-03-20 11:14:58	ga_ls7e_ard_3-0-0_111073_2004-03-20_final
2004-06-25 10:18:17	ga_ls7e_ard_3-0-0_102071_2004-06-25_final
2004-09-15 10:07:56	ga_ls7e_ard_3-0-0_100077_2004-09-15_final
2004-10-01 10:08:16	ga_ls7e_ard_3-0-0_100078_2004-10-01_final
2005-07-02 09:59:32	ga_ls7e_ard_3-0-0_098085_2005-07-02_final
2006-03-22 10:03:37	ga_ls7e_ard_3-0-0_099078_2006-03-22_final
2006-10-25 09:53:47	ga_ls7e_ard_3-0-0_098070_2006-10-25_final
2007-05-12 10:04:18	ga_ls7e_ard_3-0-0_099079_2007-05-12_final
2007-05-16 11:19:38	ga_ls7e_ard_3-1-0_111082_2007-05-16_final
2007-05-28 11:43:04	ga_ls7e_ard_3-0-0_115079_2007-05-28_final
2007-06-28 09:20:54	ga_ls7e_ard_3-0-0_092079_2007-06-27_final
2007-10-13 09:05:52	ga_ls7e_ard_3-1-0_089089_2007-10-12_final
2008-03-31 11:16:14	ga_ls7e_ard_3-0-0_111074_2008-03-31_final
2008-05-07 09:57:23	ga_ls7e_ard_3-0-0_098078_2008-05-07_final
2008-12-07 09:24:03	ga_ls7e_ard_3-0-0_092089_2008-12-06_final
2008-12-27 10:35:36	ga_ls7e_ard_3-0-0_104082_2008-12-27_final
2010-03-07 09:29:19	ga_ls7e_ard_3-0-0_093080_2010-03-06_final
2010-06-17 10:26:23	ga_ls7e_ard_3-0-0_103068_2010-06-17_final
2011-03-29 09:58:08	ga_ls7e_ard_3-0-0_098071_2011-03-29_final
2011-07-17 10:10:25	ga_ls7e_ard_3-0-0_100071_2011-07-17_final
2012-01-02 10:07:08	ga_ls7e_ard_3-0-0_099077_2012-01-02_final
2012-07-03 10:14:18	ga_ls7e_ard_3-0-0_100078_2012-07-03_final
2012-11-08 10:15:09	ga_ls7e_ard_3-0-0_100077_2012-11-08_final
2013-01-05 09:17:15	ga_ls7e_ard_3-0-0_090086_2013-01-04_final
2013-02-14 10:05:56	ga_ls7e_ard_3-0-0_098084_2013-02-14_final
2013-09-11 10:42:13	ga_ls7e_ard_3-0-0_105068_2013-09-11_final
2014-03-31 09:03:42	ga_ls7e_ard_3-0-0_088081_2014-03-30_final
2014-05-06 10:18:55	ga_ls7e_ard_3-0-0_100083_2014-05-06_final
2015-03-05 11:15:24	ga_ls7e_ard_3-1-0_109081_2015-03-05_final
2015-06-10 10:19:17	ga_ls7e_ard_3-0-0_100078_2015-06-10_final
2016-02-09 10:00:02	ga_ls7e_ard_3-1-0_096086_2016-02-09_final
2016-08-05 09:48:26	ga_ls7e_ard_3-0-0_094086_2016-08-05_final
2017-05-12 10:35:44	ga_ls7e_ard_3-0-0_102081_2017-05-12_final
2017-09-19 10:21:52	ga_ls7e_ard_3-0-0_100077_2017-09-19_final
2018-03-14 10:20:31	ga_ls7e_ard_3-0-0_100077_2018-03-14_final
2018-03-31 09:24:16	ga_ls7e_ard_3-0-0_091076_2018-03-30_final
2018-06-10 09:34:03	ga_ls7e_ard_3-0-0_092088_2018-06-10_final
2019-05-29 10:06:08	ga_ls7e_ard_3-0-0_099084_2019-05-29_final
2020-05-25 10:22:42	ga_ls7e_ard_3-1-0_105076_2020-05-25_final
2020-09-21 10:21:06	ga_ls7e_ard_3-1-0_106075_2020-09-21_final
2021-01-27 08:38:32	ga_ls7e_ard_3-2-0_090088_2021-01-26_final
2021-02-01 10:30:24	ga_ls7e_ard_3-2-0_109075_2021-02-01_final
2021-09-07 09:11:42	ga_ls7e_ard_3-2-0_099078_2021-09-06_final
2022-02-12 09:09:07	ga_ls7e_ard_3-2-1_101078_2022-02-11_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