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

47 results

Time (local)	Label
1999-07-18 10:00:08	ga_ls7e_ard_3-0-0_098078_1999-07-18_final
1999-12-24 10:54:38	ga_ls7e_ard_3-0-0_107075_1999-12-24_final
2000-08-07 09:41:41	ga_ls7e_ard_3-0-0_096067_2000-08-07_final
2000-12-10 10:50:32	ga_ls7e_ard_3-0-0_107071_2000-12-10_final
2001-04-03 10:39:28	ga_ls7e_ard_3-0-0_105075_2001-04-03_final
2002-09-02 10:55:56	ga_ls7e_ard_3-1-0_108075_2002-09-02_final
2003-05-11 10:40:08	ga_ls7e_ard_3-1-0_105080_2003-05-11_final
2004-03-16 09:59:59	ga_ls7e_ard_3-0-0_099071_2004-03-16_final
2004-08-06 09:23:27	ga_ls7e_ard_3-0-0_092089_2004-08-05_final
2004-09-04 10:28:09	ga_ls7e_ard_3-0-0_103081_2004-09-04_final
2004-10-25 09:23:01	ga_ls7e_ard_3-0-0_092088_2004-10-24_final
2005-06-11 09:33:53	ga_ls7e_ard_3-0-0_095067_2005-06-11_final
2005-09-03 10:50:56	ga_ls7e_ard_3-0-0_107075_2005-09-03_final
2006-01-12 09:40:27	ga_ls7e_ard_3-0-0_096067_2006-01-12_final
2006-03-23 09:08:23	ga_ls7e_ard_3-0-0_090079_2006-03-22_final
2006-04-27 09:34:26	ga_ls7e_ard_3-0-0_095067_2006-04-27_final
2006-07-14 11:31:50	ga_ls7e_ard_3-0-0_113083_2006-07-14_final
2006-09-03 10:22:28	ga_ls7e_ard_3-0-0_102080_2006-09-03_final
2007-07-06 10:09:32	ga_ls7e_ard_3-0-0_100077_2007-07-06_final
2007-09-07 09:26:18	ga_ls7e_ard_3-0-0_093078_2007-09-06_final
2008-01-04 09:28:35	ga_ls7e_ard_3-1-0_094067_2008-01-03_final
2008-05-07 09:59:22	ga_ls7e_ard_3-0-0_098083_2008-05-07_final
2009-03-25 09:40:49	ga_ls7e_ard_3-0-0_096067_2009-03-25_final
2009-09-29 10:09:25	ga_ls7e_ard_3-0-0_100077_2009-09-29_final
2010-01-16 09:35:56	ga_ls7e_ard_3-0-0_095067_2010-01-16_final
2010-09-16 10:10:47	ga_ls7e_ard_3-0-0_100075_2010-09-16_final
2010-09-24 10:59:49	ga_ls7e_ard_3-0-0_108074_2010-09-24_final
2011-02-23 10:12:47	ga_ls7e_ard_3-0-0_100077_2011-02-23_final
2011-03-22 09:51:55	ga_ls7e_ard_3-0-0_097071_2011-03-22_final
2011-12-27 10:41:46	ga_ls7e_ard_3-0-0_105071_2011-12-27_final
2012-03-13 10:13:48	ga_ls7e_ard_3-0-0_100078_2012-03-13_final
2012-11-28 09:46:35	ga_ls7e_ard_3-0-0_096067_2012-11-28_final
2013-08-31 09:29:43	ga_ls7e_ard_3-0-0_092088_2013-08-30_final
2014-04-12 11:04:34	ga_ls7e_ard_3-0-0_108074_2014-04-12_final
2014-10-31 11:39:59	ga_ls7e_ard_3-0-0_114067_2014-10-31_final
2016-01-13 10:17:07	ga_ls7e_ard_3-0-0_099083_2016-01-13_final
2016-10-10 09:37:24	ga_ls7e_ard_3-0-0_092089_2016-10-10_final
2016-11-01 10:32:20	ga_ls7e_ard_3-0-0_102072_2016-11-01_final
2018-03-21 10:24:13	ga_ls7e_ard_3-0-0_101071_2018-03-21_final
2018-06-27 10:13:00	ga_ls7e_ard_3-0-0_099078_2018-06-27_final
2019-10-15 09:35:12	ga_ls7e_ard_3-1-0_096067_2019-10-15_final
2020-06-04 09:16:44	ga_ls7e_ard_3-1-0_095067_2020-06-03_final
2020-06-13 09:12:49	ga_ls7e_ard_3-1-0_094074_2020-06-12_final
2020-08-09 09:03:10	ga_ls7e_ard_3-1-0_093074_2020-08-08_final
2020-10-07 10:22:29	ga_ls7e_ard_3-1-0_106081_2020-10-07_final
2020-10-30 08:51:04	ga_ls7e_ard_3-1-0_091088_2020-10-29_final
2022-03-04 08:40:04	ga_ls7e_ard_3-2-1_097072_2022-03-03_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years