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

52 results

Time (local)	Label
1999-12-13 11:12:51	ga_ls7e_ard_3-0-0_110074_1999-12-13_final
2000-02-02 10:06:18	ga_ls7e_ard_3-0-0_099078_2000-02-02_final
2000-02-26 09:19:54	ga_ls7e_ard_3-1-0_091086_2000-02-25_final
2001-04-25 10:04:23	ga_ls7e_ard_3-0-0_099080_2001-04-25_final
2001-07-14 09:59:41	ga_ls7e_ard_3-0-0_099070_2001-07-14_final
2002-01-16 09:00:28	ga_ls7e_ard_3-0-0_089078_2002-01-15_final
2003-01-14 10:21:40	ga_ls7e_ard_3-0-0_102081_2003-01-14_final
2003-10-21 11:12:11	ga_ls7e_ard_3-0-0_110084_2003-10-21_final
2003-11-20 09:40:50	ga_ls7e_ard_3-0-0_096071_2003-11-20_final
2004-02-07 09:00:25	ga_ls7e_ard_3-0-0_089077_2004-02-06_final
2004-05-16 09:35:24	ga_ls7e_ard_3-0-0_094087_2004-05-16_final
2004-08-24 10:44:22	ga_ls7e_ard_3-1-0_106075_2004-08-24_final
2005-01-09 09:41:10	ga_ls7e_ard_3-0-0_096070_2005-01-09_final
2005-01-24 09:01:54	ga_ls7e_ard_3-0-0_089080_2005-01-23_final
2005-06-25 09:51:46	ga_ls7e_ard_3-0-0_097081_2005-06-25_final
2005-10-14 10:43:05	ga_ls7e_ard_3-0-0_106071_2005-10-14_final
2006-02-02 10:03:07	ga_ls7e_ard_3-0-0_099077_2006-02-02_final
2006-04-20 11:10:18	ga_ls7e_ard_3-0-0_110075_2006-04-20_final
2006-06-10 10:00:45	ga_ls7e_ard_3-0-0_099071_2006-06-10_final
2006-07-24 10:28:45	ga_ls7e_ard_3-0-0_103080_2006-07-24_final
2007-05-28 09:59:48	ga_ls7e_ard_3-0-0_099068_2007-05-28_final
2007-06-19 11:06:47	ga_ls7e_ard_3-1-0_109081_2007-06-19_final
2007-10-19 10:02:57	ga_ls7e_ard_3-0-0_099077_2007-10-19_final
2008-05-30 09:59:49	ga_ls7e_ard_3-0-0_099069_2008-05-30_final
2009-04-16 09:13:02	ga_ls7e_ard_3-0-0_090090_2009-04-15_final
2009-05-27 09:02:10	ga_ls7e_ard_3-0-0_089078_2009-05-26_final
2010-04-25 10:11:30	ga_ls7e_ard_3-0-0_100077_2010-04-25_final
2010-05-29 09:59:28	ga_ls7e_ard_3-0-0_098078_2010-05-29_final
2011-05-10 09:00:20	ga_ls7e_ard_3-0-0_088081_2011-05-09_final
2011-07-03 10:02:03	ga_ls7e_ard_3-0-0_098081_2011-07-03_final
2012-04-19 10:28:21	ga_ls7e_ard_3-0-0_103068_2012-04-19_final
2013-06-01 09:42:33	ga_ls7e_ard_3-1-0_095073_2013-06-01_final
2014-01-23 10:07:51	ga_ls7e_ard_3-0-0_099072_2014-01-23_final
2014-06-05 10:25:52	ga_ls7e_ard_3-0-0_102069_2014-06-05_final
2016-03-26 11:43:59	ga_ls7e_ard_3-0-0_114067_2016-03-26_final
2016-06-16 09:54:44	ga_ls7e_ard_3-0-0_096071_2016-06-16_final
2017-06-28 09:49:03	ga_ls7e_ard_3-0-0_095072_2017-06-28_final
2018-01-15 09:40:12	ga_ls7e_ard_3-1-0_094067_2018-01-15_final
2018-07-21 09:27:54	ga_ls7e_ard_3-0-0_091090_2018-07-20_final
2019-06-29 10:57:02	ga_ls7e_ard_3-1-0_108075_2019-06-29_final
2020-01-13 10:13:33	ga_ls7e_ard_3-1-0_102081_2020-01-13_final
2020-01-18 10:31:50	ga_ls7e_ard_3-1-0_105081_2020-01-18_final
2020-01-24 09:49:41	ga_ls7e_ard_3-1-0_099069_2020-01-24_final
2020-03-28 09:47:05	ga_ls7e_ard_3-1-0_099071_2020-03-28_final
2021-01-19 09:21:46	ga_ls7e_ard_3-1-0_098071_2021-01-18_final
2021-02-15 08:59:39	ga_ls7e_ard_3-2-0_095067_2021-02-14_final
2021-04-05 09:39:26	ga_ls7e_ard_3-2-0_102068_2021-04-05_final
2021-05-18 09:17:17	ga_ls7e_ard_3-2-0_099068_2021-05-17_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-08-26 10:28:54	ga_ls7e_ard_3-2-0_111083_2021-08-26_final
2022-01-28 09:50:43	ga_ls7e_ard_3-2-1_108070_2022-01-28_final
2022-02-18 10:09:31	ga_ls7e_ard_3-2-1_111076_2022-02-18_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