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

59 results

Time (local)	Label
1999-09-04 10:02:40	ga_ls7e_ard_3-0-0_098084_1999-09-04_final
2000-08-22 09:03:07	ga_ls7e_ard_3-0-0_089079_2000-08-21_final
2000-12-25 10:07:22	ga_ls7e_ard_3-0-0_100071_2000-12-25_final
2001-06-09 11:09:56	ga_ls7e_ard_3-0-0_110075_2001-06-09_final
2001-07-12 10:14:27	ga_ls7e_ard_3-0-0_101076_2001-07-12_final
2001-12-17 10:26:30	ga_ls7e_ard_3-0-0_103077_2001-12-17_final
2002-04-09 11:11:55	ga_ls7e_ard_3-0-0_110082_2002-04-09_final
2002-12-07 10:55:48	ga_ls7e_ard_3-1-0_108074_2002-12-07_final
2003-01-13 11:14:29	ga_ls7e_ard_3-0-0_111074_2003-01-13_final
2003-04-20 10:21:36	ga_ls7e_ard_3-0-0_102080_2003-04-20_final
2003-08-25 09:32:48	ga_ls7e_ard_3-0-0_095067_2003-08-25_final
2003-11-16 10:05:30	ga_ls7e_ard_3-0-0_100071_2003-11-16_final
2004-01-05 11:33:33	ga_ls7e_ard_3-0-0_114074_2004-01-05_final
2004-03-05 10:22:26	ga_ls7e_ard_3-0-0_102081_2004-03-05_final
2005-04-05 10:42:49	ga_ls7e_ard_3-0-0_106069_2005-04-05_final
2005-08-27 10:45:14	ga_ls7e_ard_3-0-0_106076_2005-08-27_final
2005-11-19 10:17:35	ga_ls7e_ard_3-0-0_102068_2005-11-19_final
2005-11-24 10:37:45	ga_ls7e_ard_3-0-0_105072_2005-11-24_final
2006-01-27 10:39:22	ga_ls7e_ard_3-0-0_105075_2006-01-27_final
2006-02-24 11:06:36	ga_ls7e_ard_3-1-0_109081_2006-02-24_final
2006-02-25 10:09:23	ga_ls7e_ard_3-0-0_100077_2006-02-25_final
2006-05-03 10:36:40	ga_ls7e_ard_3-0-0_105068_2006-05-03_final
2006-11-09 09:17:55	ga_ls7e_ard_3-0-0_091088_2006-11-08_final
2008-03-21 10:37:57	ga_ls7e_ard_3-0-0_105071_2008-03-21_final
2008-04-04 10:53:54	ga_ls7e_ard_3-0-0_107080_2008-04-04_final
2008-04-13 10:42:55	ga_ls7e_ard_3-0-0_106068_2008-04-13_final
2010-02-13 10:03:49	ga_ls7e_ard_3-0-0_099074_2010-02-13_final
2010-04-29 11:28:03	ga_ls7e_ard_3-0-0_112083_2010-04-29_final
2010-08-20 10:31:41	ga_ls7e_ard_3-0-0_103081_2010-08-20_final
2010-09-11 09:55:03	ga_ls7e_ard_3-0-0_097082_2010-09-11_final
2010-12-26 10:27:22	ga_ls7e_ard_3-0-0_103068_2010-12-26_final
2011-03-15 09:47:20	ga_ls7e_ard_3-0-0_096075_2011-03-15_final
2011-05-20 11:13:52	ga_ls7e_ard_3-0-0_110075_2011-05-20_final
2011-10-24 10:42:45	ga_ls7e_ard_3-0-0_105075_2011-10-24_final
2012-01-02 10:09:31	ga_ls7e_ard_3-0-0_099083_2012-01-02_final
2012-01-09 10:13:20	ga_ls7e_ard_3-0-0_100077_2012-01-09_final
2012-01-15 11:14:44	ga_ls7e_ard_3-0-0_110076_2012-01-15_final
2012-05-08 09:28:51	ga_ls7e_ard_3-0-0_092088_2012-05-07_final
2012-06-15 10:26:52	ga_ls7e_ard_3-0-0_102079_2012-06-15_final
2015-11-17 10:18:03	ga_ls7e_ard_3-0-0_100072_2015-11-17_final
2016-04-10 11:07:10	ga_ls7e_ard_3-0-0_107083_2016-04-10_final
2016-09-18 11:48:56	ga_ls7e_ard_3-0-0_114078_2016-09-18_final
2017-04-02 11:22:33	ga_ls7e_ard_3-0-0_110075_2017-04-02_final
2017-07-16 11:20:23	ga_ls7e_ard_3-0-0_109084_2017-07-16_final
2017-07-27 09:25:20	ga_ls7e_ard_3-0-0_090090_2017-07-26_final
2018-01-10 09:25:19	ga_ls7e_ard_3-0-0_091076_2018-01-09_final
2018-02-21 11:39:54	ga_ls7e_ard_3-0-0_113074_2018-02-21_final
2018-04-01 10:06:43	ga_ls7e_ard_3-0-0_098074_2018-04-01_final
2018-04-09 10:53:38	ga_ls7e_ard_3-0-0_106068_2018-04-09_final
2018-06-24 11:19:50	ga_ls7e_ard_3-0-0_110075_2018-06-24_final
2018-10-04 10:43:29	ga_ls7e_ard_3-0-0_104082_2018-10-04_final
2020-03-15 10:17:30	ga_ls7e_ard_3-1-0_104068_2020-03-15_final
2020-06-24 08:58:25	ga_ls7e_ard_3-1-0_091086_2020-06-23_final
2020-10-30 10:24:45	ga_ls7e_ard_3-1-0_107075_2020-10-30_final
2021-04-04 10:36:44	ga_ls7e_ard_3-2-0_111072_2021-04-04_final
2021-06-06 09:52:09	ga_ls7e_ard_3-2-0_104082_2021-06-06_final
2021-08-14 10:00:02	ga_ls7e_ard_3-2-0_107070_2021-08-14_final
2022-01-30 09:38:33	ga_ls7e_ard_3-2-1_106071_2022-01-30_final
2022-04-01 09:01:39	ga_ls7e_ard_3-2-1_101071_2022-03-31_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