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
1999-10-20 10:10:11	ga_ls7e_ard_3-0-0_100072_1999-10-20_final
1999-12-07 10:14:11	ga_ls7e_ard_3-0-0_100082_1999-12-07_final
2000-02-22 09:43:25	ga_ls7e_ard_3-0-0_095083_2000-02-22_final
2000-04-22 11:44:42	ga_ls7e_ard_3-0-0_115078_2000-04-22_final
2001-06-18 09:24:22	ga_ls7e_ard_3-0-0_093074_2001-06-17_final
2002-05-04 11:04:58	ga_ls7e_ard_3-0-0_109080_2002-05-04_final
2003-12-04 11:34:54	ga_ls7e_ard_3-0-0_114078_2003-12-04_final
2003-12-11 09:59:04	ga_ls7e_ard_3-0-0_099070_2003-12-11_final
2005-04-11 10:08:54	ga_ls7e_ard_3-0-0_100077_2005-04-11_final
2005-04-20 10:03:26	ga_ls7e_ard_3-0-0_099079_2005-04-20_final
2005-06-28 10:17:52	ga_ls7e_ard_3-0-0_102069_2005-06-28_final
2006-06-21 09:47:20	ga_ls7e_ard_3-1-0_096084_2006-06-21_final
2006-07-15 10:33:01	ga_ls7e_ard_3-0-0_104075_2006-07-15_final
2006-08-06 09:57:01	ga_ls7e_ard_3-0-0_098078_2006-08-06_final
2007-05-18 09:27:59	ga_ls7e_ard_3-0-0_093081_2007-05-17_final
2008-04-11 10:57:17	ga_ls7e_ard_3-0-0_108073_2008-04-11_final
2008-11-16 09:04:04	ga_ls7e_ard_3-0-0_089086_2008-11-15_final
2010-01-26 10:17:09	ga_ls7e_ard_3-0-0_101077_2010-01-26_final
2010-09-28 08:59:24	ga_ls7e_ard_3-0-0_088082_2010-09-27_final
2011-03-22 09:52:19	ga_ls7e_ard_3-0-0_097072_2011-03-22_final
2011-11-13 10:16:38	ga_ls7e_ard_3-0-0_101071_2011-11-13_final
2012-01-07 10:22:30	ga_ls7e_ard_3-0-0_102069_2012-01-07_final
2012-07-29 10:49:18	ga_ls7e_ard_3-0-0_106072_2012-07-29_final
2013-08-11 11:27:29	ga_ls7e_ard_3-0-0_112074_2013-08-11_final
2013-08-18 09:56:28	ga_ls7e_ard_3-0-0_097078_2013-08-18_final
2013-09-01 10:08:36	ga_ls7e_ard_3-0-0_099077_2013-09-01_final
2013-11-13 10:00:19	ga_ls7e_ard_3-0-0_098070_2013-11-13_final
2014-01-29 09:37:15	ga_ls7e_ard_3-0-0_093088_2014-01-29_final
2014-05-20 10:27:49	ga_ls7e_ard_3-0-0_102074_2014-05-20_final
2014-09-12 10:57:23	ga_ls7e_ard_3-0-0_107070_2014-09-12_final
2015-03-03 11:24:34	ga_ls7e_ard_3-0-0_111073_2015-03-03_final
2016-04-06 11:27:52	ga_ls7e_ard_3-0-0_111073_2016-04-06_final
2016-07-26 10:46:13	ga_ls7e_ard_3-0-0_104076_2016-07-26_final
2017-02-04 11:27:16	ga_ls7e_ard_3-0-0_111072_2017-02-04_final
2018-03-28 10:32:41	ga_ls7e_ard_3-0-0_102077_2018-03-28_final
2018-04-30 11:15:00	ga_ls7e_ard_3-0-0_109076_2018-04-30_final
2018-06-27 10:09:48	ga_ls7e_ard_3-0-0_099070_2018-06-27_final
2018-07-17 11:28:22	ga_ls7e_ard_3-1-0_111082_2018-07-17_final
2018-07-26 09:37:10	ga_ls7e_ard_3-1-0_094067_2018-07-26_final
2018-08-04 11:15:18	ga_ls7e_ard_3-1-0_109081_2018-08-04_final
2019-02-22 10:07:32	ga_ls7e_ard_3-1-0_099079_2019-02-22_final
2019-09-06 09:38:16	ga_ls7e_ard_3-1-0_095086_2019-09-06_final
2019-12-07 09:52:30	ga_ls7e_ard_3-1-0_099070_2019-12-07_final
2020-02-19 08:51:44	ga_ls7e_ard_3-1-0_089082_2020-02-18_final
2020-06-20 09:17:47	ga_ls7e_ard_3-1-0_095072_2020-06-19_final
2021-08-07 09:54:29	ga_ls7e_ard_3-2-0_106070_2021-08-07_final
2021-08-17 10:36:15	ga_ls7e_ard_3-2-0_112084_2021-08-17_final
2021-10-25 09:07:02	ga_ls7e_ard_3-2-0_099077_2021-10-24_final
2022-01-11 09:11:53	ga_ls7e_ard_3-2-1_101077_2022-01-10_final
2022-02-14 08:57:21	ga_ls7e_ard_3-2-1_099080_2022-02-13_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