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

55 results

Time (local)	Label
1999-12-26 10:41:02	ga_ls7e_ard_3-0-0_105072_1999-12-26_final
2000-07-11 11:43:54	ga_ls7e_ard_3-0-0_115078_2000-07-11_final
2001-01-30 09:42:41	ga_ls7e_ard_3-0-0_096071_2001-01-30_final
2002-08-19 09:05:39	ga_ls7e_ard_3-0-0_090077_2002-08-18_final
2003-01-09 09:59:27	ga_ls7e_ard_3-0-0_099072_2003-01-09_final
2003-01-27 11:26:57	ga_ls7e_ard_3-0-0_113074_2003-01-27_final
2003-08-05 11:40:47	ga_ls7e_ard_3-0-0_115078_2003-08-05_final
2003-10-18 10:37:38	ga_ls7e_ard_3-0-0_105075_2003-10-18_final
2003-10-26 09:49:32	ga_ls7e_ard_3-0-0_097078_2003-10-26_final
2004-04-30 09:34:58	ga_ls7e_ard_3-0-0_094086_2004-04-30_final
2005-03-13 09:02:37	ga_ls7e_ard_3-1-0_089081_2005-03-12_final
2005-08-20 09:01:25	ga_ls7e_ard_3-0-0_089079_2005-08-19_final
2005-12-11 11:21:53	ga_ls7e_ard_3-0-0_112074_2005-12-11_final
2006-02-21 08:57:13	ga_ls7e_ard_3-0-0_088082_2006-02-20_final
2006-08-12 10:55:37	ga_ls7e_ard_3-0-0_108070_2006-08-12_final
2006-09-23 09:54:02	ga_ls7e_ard_3-0-0_098071_2006-09-23_final
2007-10-08 10:17:45	ga_ls7e_ard_3-0-0_102068_2007-10-08_final
2007-10-29 10:39:45	ga_ls7e_ard_3-0-0_105076_2007-10-29_final
2007-11-06 09:51:11	ga_ls7e_ard_3-0-0_097078_2007-11-06_final
2007-11-09 10:23:19	ga_ls7e_ard_3-0-0_102081_2007-11-09_final
2009-02-19 10:00:05	ga_ls7e_ard_3-0-0_098085_2009-02-19_final
2009-09-05 09:23:37	ga_ls7e_ard_3-0-0_092086_2009-09-04_final
2009-12-03 10:50:59	ga_ls7e_ard_3-0-0_107071_2009-12-03_final
2010-12-28 10:19:01	ga_ls7e_ard_3-0-0_101078_2010-12-28_final
2011-02-13 09:37:39	ga_ls7e_ard_3-0-0_094082_2011-02-13_final
2011-03-04 10:04:40	ga_ls7e_ard_3-0-0_099072_2011-03-04_final
2011-10-30 10:03:17	ga_ls7e_ard_3-0-0_099069_2011-10-30_final
2012-11-08 10:12:45	ga_ls7e_ard_3-0-0_100071_2012-11-08_final
2013-07-16 10:52:57	ga_ls7e_ard_3-0-0_106080_2013-07-16_final
2013-07-30 09:28:42	ga_ls7e_ard_3-0-0_092086_2013-07-29_final
2014-05-19 11:23:26	ga_ls7e_ard_3-0-0_111074_2014-05-19_final
2014-07-06 09:49:07	ga_ls7e_ard_3-0-0_095085_2014-07-06_final
2014-09-02 10:21:07	ga_ls7e_ard_3-0-0_101072_2014-09-02_final
2015-06-07 11:25:15	ga_ls7e_ard_3-0-0_111073_2015-06-07_final
2015-09-07 10:13:00	ga_ls7e_ard_3-0-0_099077_2015-09-07_final
2017-03-10 11:14:16	ga_ls7e_ard_3-0-0_109070_2017-03-10_final
2017-08-17 09:41:50	ga_ls7e_ard_3-0-0_093085_2017-08-17_final
2017-08-18 10:24:42	ga_ls7e_ard_3-0-0_100084_2017-08-18_final
2017-11-15 10:13:43	ga_ls7e_ard_3-0-0_099072_2017-11-15_final
2018-05-19 10:09:30	ga_ls7e_ard_3-0-0_098083_2018-05-19_final
2018-08-11 11:18:57	ga_ls7e_ard_3-0-0_110075_2018-08-11_final
2018-12-04 10:06:45	ga_ls7e_ard_3-0-0_099071_2018-12-04_final
2019-04-05 09:04:21	ga_ls7e_ard_3-0-0_089079_2019-04-04_final
2020-02-10 08:56:47	ga_ls7e_ard_3-1-0_090078_2020-02-09_final
2020-04-06 09:43:59	ga_ls7e_ard_3-1-0_098080_2020-04-06_final
2020-04-30 08:57:07	ga_ls7e_ard_3-1-0_090090_2020-04-29_final
2020-10-09 10:04:48	ga_ls7e_ard_3-1-0_104068_2020-10-09_final
2020-11-22 08:54:04	ga_ls7e_ard_3-1-0_092084_2020-11-21_final
2021-03-24 09:19:41	ga_ls7e_ard_3-2-0_098078_2021-03-23_final
2021-04-01 10:04:29	ga_ls7e_ard_3-2-0_106068_2021-04-01_final
2021-04-22 08:49:10	ga_ls7e_ard_3-2-0_093085_2021-04-21_final
2021-05-10 10:10:35	ga_ls7e_ard_3-2-0_107076_2021-05-10_final
2021-05-14 09:47:08	ga_ls7e_ard_3-2-0_103080_2021-05-14_final
2021-11-04 09:39:35	ga_ls7e_ard_3-2-0_105068_2021-11-04_final
2022-04-03 10:31:10	ga_ls7e_ard_3-2-1_115079_2022-04-03_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