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

54 results

Time (local)	Label
1999-07-06 11:13:04	ga_ls7e_ard_3-0-0_110075_1999-07-06_final
2000-03-26 10:25:50	ga_ls7e_ard_3-0-0_102081_2000-03-26_final
2000-04-27 10:25:34	ga_ls7e_ard_3-0-0_102081_2000-04-27_final
2000-06-23 10:17:15	ga_ls7e_ard_3-0-0_101077_2000-06-23_final
2000-10-03 11:16:31	ga_ls7e_ard_3-0-0_111074_2000-10-03_final
2002-02-23 09:59:37	ga_ls7e_ard_3-0-0_099071_2002-02-23_final
2002-03-02 10:08:16	ga_ls7e_ard_3-0-0_100077_2002-03-02_final
2002-05-27 11:08:57	ga_ls7e_ard_3-0-0_110075_2002-05-27_final
2004-04-25 09:16:24	ga_ls7e_ard_3-1-0_091086_2004-04-24_final
2004-08-03 10:28:14	ga_ls7e_ard_3-0-0_103081_2004-08-03_final
2004-08-07 10:01:55	ga_ls7e_ard_3-0-0_099077_2004-08-07_final
2004-09-12 09:41:03	ga_ls7e_ard_3-0-0_095087_2004-09-12_final
2005-08-17 10:08:37	ga_ls7e_ard_3-0-0_100077_2005-08-17_final
2005-09-27 10:00:12	ga_ls7e_ard_3-0-0_099072_2005-09-27_final
2006-01-24 10:09:15	ga_ls7e_ard_3-0-0_100077_2006-01-24_final
2006-04-10 10:36:03	ga_ls7e_ard_3-0-0_104082_2006-04-10_final
2006-05-19 10:37:29	ga_ls7e_ard_3-0-0_105070_2006-05-19_final
2007-04-27 09:07:58	ga_ls7e_ard_3-0-0_090077_2007-04-26_final
2007-05-28 11:42:40	ga_ls7e_ard_3-0-0_115078_2007-05-28_final
2007-05-29 10:47:50	ga_ls7e_ard_3-0-0_106080_2007-05-29_final
2007-06-10 11:10:34	ga_ls7e_ard_3-0-0_110075_2007-06-10_final
2007-10-15 10:29:13	ga_ls7e_ard_3-0-0_103081_2007-10-15_final
2007-11-16 10:29:34	ga_ls7e_ard_3-0-0_103081_2007-11-16_final
2008-05-30 10:00:37	ga_ls7e_ard_3-0-0_099071_2008-05-30_final
2008-07-05 11:15:36	ga_ls7e_ard_3-0-0_111074_2008-07-05_final
2009-01-25 10:00:04	ga_ls7e_ard_3-0-0_099070_2009-01-25_final
2009-01-28 08:56:53	ga_ls7e_ard_3-0-0_088082_2009-01-27_final
2009-09-11 10:23:25	ga_ls7e_ard_3-1-0_102081_2009-09-11_final
2010-09-12 08:59:25	ga_ls7e_ard_3-0-0_088082_2010-09-11_final
2010-10-08 11:11:24	ga_ls7e_ard_3-1-0_110072_2010-10-08_final
2010-10-28 09:15:11	ga_ls7e_ard_3-0-0_090090_2010-10-27_final
2012-07-18 11:08:32	ga_ls7e_ard_3-0-0_109074_2012-07-18_final
2013-06-18 10:27:18	ga_ls7e_ard_3-0-0_102077_2013-06-18_final
2015-01-07 11:15:40	ga_ls7e_ard_3-0-0_110067_2015-01-07_final
2015-05-23 10:32:43	ga_ls7e_ard_3-0-0_102081_2015-05-23_final
2015-10-10 10:58:28	ga_ls7e_ard_3-0-0_106082_2015-10-10_final
2016-04-12 09:13:57	ga_ls7e_ard_3-0-0_089078_2016-04-11_final
2016-09-13 11:28:24	ga_ls7e_ard_3-0-0_111073_2016-09-13_final
2016-10-26 09:36:33	ga_ls7e_ard_3-0-0_092087_2016-10-26_final
2017-07-17 10:22:21	ga_ls7e_ard_3-0-0_100078_2017-07-17_final
2018-09-10 11:30:18	ga_ls7e_ard_3-0-0_112074_2018-09-10_final
2018-12-25 10:28:42	ga_ls7e_ard_3-0-0_102081_2018-12-25_final
2019-09-09 10:05:51	ga_ls7e_ard_3-1-0_100078_2019-09-09_final
2020-05-15 09:46:38	ga_ls7e_ard_3-1-0_099077_2020-05-15_final
2020-08-03 11:21:06	ga_ls7e_ard_3-1-0_115078_2020-08-03_final
2020-09-08 10:52:28	ga_ls7e_ard_3-1-0_111074_2020-09-08_final
2020-12-19 10:11:36	ga_ls7e_ard_3-1-0_105082_2020-12-19_final
2021-02-01 10:30:24	ga_ls7e_ard_3-2-0_109075_2021-02-01_final
2021-03-05 10:31:34	ga_ls7e_ard_3-2-0_109084_2021-03-05_final
2021-06-11 10:10:41	ga_ls7e_ard_3-2-0_107083_2021-06-11_final
2021-07-25 08:54:02	ga_ls7e_ard_3-2-0_095086_2021-07-24_final
2021-08-21 08:33:30	ga_ls7e_ard_3-2-0_092087_2021-08-20_final
2021-12-09 10:10:20	ga_ls7e_ard_3-2-1_110076_2021-12-09_final
2022-02-27 10:00:53	ga_ls7e_ard_3-2-1_110072_2022-02-27_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