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
2000-04-16 09:04:01	ga_ls7e_ard_3-0-0_089078_2000-04-15_final
2000-05-13 10:25:23	ga_ls7e_ard_3-1-0_102081_2000-05-13_final
2001-03-02 09:02:50	ga_ls7e_ard_3-0-0_089080_2001-03-01_final
2001-06-28 10:03:15	ga_ls7e_ard_3-0-0_099079_2001-06-28_final
2002-08-07 10:21:25	ga_ls7e_ard_3-0-0_102081_2002-08-07_final
2002-12-24 10:02:15	ga_ls7e_ard_3-0-0_099079_2002-12-24_final
2003-01-25 10:01:37	ga_ls7e_ard_3-0-0_099077_2003-01-25_final
2003-07-27 10:08:11	ga_ls7e_ard_3-0-0_100078_2003-07-27_final
2003-10-18 09:00:21	ga_ls7e_ard_3-0-0_089079_2003-10-17_final
2003-11-18 09:55:33	ga_ls7e_ard_3-0-0_098077_2003-11-18_final
2004-04-30 11:09:28	ga_ls7e_ard_3-0-0_110075_2004-04-30_final
2005-04-29 09:57:43	ga_ls7e_ard_3-0-0_098080_2005-04-29_final
2005-05-06 10:03:31	ga_ls7e_ard_3-0-0_099079_2005-05-06_final
2005-07-02 09:59:32	ga_ls7e_ard_3-0-0_098085_2005-07-02_final
2006-04-16 09:57:44	ga_ls7e_ard_3-0-0_098079_2006-04-16_final
2007-02-14 09:54:58	ga_ls7e_ard_3-0-0_098071_2007-02-14_final
2007-06-13 10:04:11	ga_ls7e_ard_3-0-0_099079_2007-06-13_final
2008-01-05 10:13:26	ga_ls7e_ard_3-0-0_101071_2008-01-05_final
2009-03-18 09:36:59	ga_ls7e_ard_3-1-0_095073_2009-03-18_final
2009-06-02 09:59:58	ga_ls7e_ard_3-0-0_099068_2009-06-02_final
2009-07-14 09:06:50	ga_ls7e_ard_3-0-0_089090_2009-07-13_final
2009-11-27 09:48:19	ga_ls7e_ard_3-0-0_097069_2009-11-27_final
2010-02-04 10:11:05	ga_ls7e_ard_3-0-0_100077_2010-02-04_final
2010-04-19 09:12:30	ga_ls7e_ard_3-0-0_090084_2010-04-18_final
2010-07-26 08:59:21	ga_ls7e_ard_3-0-0_088082_2010-07-25_final
2011-05-14 10:13:40	ga_ls7e_ard_3-0-0_100079_2011-05-14_final
2011-07-19 10:00:51	ga_ls7e_ard_3-0-0_098078_2011-07-19_final
2011-07-27 09:10:59	ga_ls7e_ard_3-0-0_090077_2011-07-26_final
2011-12-02 10:49:43	ga_ls7e_ard_3-0-0_106076_2011-12-02_final
2012-06-26 10:04:01	ga_ls7e_ard_3-0-0_099068_2012-06-26_final
2013-01-29 10:00:45	ga_ls7e_ard_3-0-0_098071_2013-01-29_final
2013-11-04 10:07:14	ga_ls7e_ard_3-0-0_099072_2013-11-04_final
2013-12-16 09:08:03	ga_ls7e_ard_3-0-0_089078_2013-12-15_final
2014-03-24 10:36:21	ga_ls7e_ard_3-0-0_103081_2014-03-24_final
2014-05-31 10:11:18	ga_ls7e_ard_3-0-0_099079_2014-05-31_final
2015-03-21 11:13:33	ga_ls7e_ard_3-0-0_109076_2015-03-21_final
2016-06-21 10:12:29	ga_ls7e_ard_3-0-0_099069_2016-06-21_final
2017-06-14 11:16:44	ga_ls7e_ard_3-0-0_109075_2017-06-14_final
2017-10-06 09:25:53	ga_ls7e_ard_3-0-0_091076_2017-10-05_final
2017-11-18 10:48:36	ga_ls7e_ard_3-0-0_104082_2017-11-18_final
2018-01-23 10:35:06	ga_ls7e_ard_3-0-0_102081_2018-01-23_final
2020-03-27 09:10:39	ga_ls7e_ard_3-1-0_092088_2020-03-26_final
2020-09-16 10:01:42	ga_ls7e_ard_3-1-0_103072_2020-09-16_final
2020-12-31 08:58:35	ga_ls7e_ard_3-1-0_093087_2020-12-30_final
2021-02-03 10:21:05	ga_ls7e_ard_3-2-0_107083_2021-02-03_final
2021-05-19 10:05:39	ga_ls7e_ard_3-2-0_106081_2021-05-19_final
2021-09-18 10:33:28	ga_ls7e_ard_3-2-0_112084_2021-09-18_final
2022-01-17 10:10:43	ga_ls7e_ard_3-2-1_111071_2022-01-17_final
2022-03-03 09:35:23	ga_ls7e_ard_3-2-1_106071_2022-03-03_final
2022-03-10 08:09:35	ga_ls7e_ard_3-2-1_091090_2022-03-09_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