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
1999-11-23 10:02:31	ga_ls7e_ard_3-0-0_098084_1999-11-23_final
2000-01-08 10:12:08	ga_ls7e_ard_3-0-0_100077_2000-01-08_final
2003-07-17 09:34:46	ga_ls7e_ard_3-0-0_094087_2003-07-17_final
2003-07-20 09:58:52	ga_ls7e_ard_3-0-0_099070_2003-07-20_final
2003-09-19 09:33:38	ga_ls7e_ard_3-0-0_094085_2003-09-19_final
2003-12-03 09:16:44	ga_ls7e_ard_3-0-0_091088_2003-12-02_final
2004-09-07 09:20:33	ga_ls7e_ard_3-0-0_092082_2004-09-06_final
2005-01-09 11:24:27	ga_ls7e_ard_3-0-0_112081_2005-01-09_final
2005-07-17 10:51:35	ga_ls7e_ard_3-0-0_107076_2005-07-17_final
2006-01-25 10:54:55	ga_ls7e_ard_3-0-0_107083_2006-01-25_final
2006-06-02 09:17:19	ga_ls7e_ard_3-1-0_091086_2006-06-01_final
2006-07-29 10:44:05	ga_ls7e_ard_3-0-0_106072_2006-07-29_final
2006-09-03 10:19:40	ga_ls7e_ard_3-0-0_102073_2006-09-03_final
2007-06-10 11:10:34	ga_ls7e_ard_3-0-0_110075_2007-06-10_final
2008-02-03 11:22:35	ga_ls7e_ard_3-0-0_112074_2008-02-03_final
2008-03-01 11:03:55	ga_ls7e_ard_3-0-0_109074_2008-03-01_final
2008-06-01 11:25:31	ga_ls7e_ard_3-0-0_113067_2008-06-01_final
2008-07-01 10:03:05	ga_ls7e_ard_3-0-0_099078_2008-07-01_final
2009-05-26 11:37:28	ga_ls7e_ard_3-0-0_114080_2009-05-26_final
2009-07-14 10:40:08	ga_ls7e_ard_3-0-0_105076_2009-07-14_final
2009-12-11 10:06:25	ga_ls7e_ard_3-0-0_099083_2009-12-11_final
2009-12-16 10:20:16	ga_ls7e_ard_3-0-0_102071_2009-12-16_final
2010-04-18 10:05:44	ga_ls7e_ard_3-0-0_099078_2010-04-18_final
2011-01-27 10:29:13	ga_ls7e_ard_3-0-0_103072_2011-01-27_final
2011-03-04 10:04:16	ga_ls7e_ard_3-0-0_099071_2011-03-04_final
2011-09-11 09:27:09	ga_ls7e_ard_3-0-0_092087_2011-09-10_final
2011-09-13 09:10:47	ga_ls7e_ard_3-0-0_090077_2011-09-12_final
2012-03-13 10:13:48	ga_ls7e_ard_3-0-0_100078_2012-03-13_final
2013-12-18 10:35:45	ga_ls7e_ard_3-0-0_103081_2013-12-18_final
2015-03-01 11:37:18	ga_ls7e_ard_3-0-0_113074_2015-03-01_final
2015-06-19 10:13:08	ga_ls7e_ard_3-0-0_099078_2015-06-19_final
2016-01-19 09:33:44	ga_ls7e_ard_3-0-0_093067_2016-01-19_final
2016-04-02 10:15:17	ga_ls7e_ard_3-0-0_099077_2016-04-02_final
2017-10-09 11:34:53	ga_ls7e_ard_3-1-0_112074_2017-10-09_final
2017-11-19 11:28:39	ga_ls7e_ard_3-0-0_111074_2017-11-19_final
2018-01-12 09:15:44	ga_ls7e_ard_3-0-0_089083_2018-01-11_final
2018-06-29 10:01:24	ga_ls7e_ard_3-0-0_097080_2018-06-29_final
2019-05-20 10:10:15	ga_ls7e_ard_3-0-0_100078_2019-05-20_final
2019-05-30 09:11:17	ga_ls7e_ard_3-0-0_090086_2019-05-29_final
2019-05-30 09:12:53	ga_ls7e_ard_3-0-0_090090_2019-05-29_final
2020-02-01 10:39:07	ga_ls7e_ard_3-1-0_107070_2020-02-01_final
2020-03-27 09:10:15	ga_ls7e_ard_3-1-0_092087_2020-03-26_final
2020-07-07 09:58:26	ga_ls7e_ard_3-1-0_102068_2020-07-07_final
2020-07-16 09:57:42	ga_ls7e_ard_3-1-0_101083_2020-07-16_final
2020-08-22 10:13:30	ga_ls7e_ard_3-1-0_104082_2020-08-22_final
2020-08-25 10:41:25	ga_ls7e_ard_3-1-0_109075_2020-08-25_final
2021-03-09 10:00:09	ga_ls7e_ard_3-2-0_105068_2021-03-09_final
2021-05-18 09:21:16	ga_ls7e_ard_3-2-0_099078_2021-05-17_final
2021-07-14 09:10:43	ga_ls7e_ard_3-2-0_098079_2021-07-13_final
2021-09-01 09:45:43	ga_ls7e_ard_3-2-0_105069_2021-09-01_final
2021-09-28 09:29:34	ga_ls7e_ard_3-2-0_102081_2021-09-27_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years