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
1999-11-24 10:40:58	ga_ls7e_ard_3-0-0_105072_1999-11-24_final
2001-01-22 10:30:57	ga_ls7e_ard_3-0-0_104068_2001-01-22_final
2001-03-03 09:48:06	ga_ls7e_ard_3-0-0_096085_2001-03-03_final
2001-06-10 10:15:30	ga_ls7e_ard_3-0-0_101078_2001-06-10_final
2002-03-31 11:15:16	ga_ls7e_ard_3-0-0_111075_2002-03-31_final
2002-06-14 10:56:04	ga_ls7e_ard_3-0-0_108074_2002-06-14_final
2002-08-02 10:02:08	ga_ls7e_ard_3-0-0_099079_2002-08-02_final
2002-10-25 11:13:53	ga_ls7e_ard_3-0-0_111074_2002-10-25_final
2004-06-11 10:08:21	ga_ls7e_ard_3-0-0_100077_2004-06-11_final
2004-09-18 09:05:08	ga_ls7e_ard_3-0-0_089090_2004-09-17_final
2004-12-11 10:13:51	ga_ls7e_ard_3-1-0_101075_2004-12-11_final
2005-04-06 09:50:47	ga_ls7e_ard_3-0-0_097078_2005-04-06_final
2005-08-04 10:40:47	ga_ls7e_ard_3-1-0_105080_2005-08-04_final
2005-08-29 10:35:15	ga_ls7e_ard_3-0-0_104082_2005-08-29_final
2005-10-14 09:08:12	ga_ls7e_ard_3-0-0_090081_2005-10-13_final
2006-11-13 10:29:44	ga_ls7e_ard_3-0-0_103082_2006-11-13_final
2007-05-18 09:29:11	ga_ls7e_ard_3-0-0_093084_2007-05-17_final
2007-05-19 10:11:38	ga_ls7e_ard_3-0-0_100082_2007-05-19_final
2007-05-25 11:10:36	ga_ls7e_ard_3-0-0_110075_2007-05-25_final
2007-06-16 10:36:17	ga_ls7e_ard_3-0-0_104082_2007-06-16_final
2007-12-30 09:13:37	ga_ls7e_ard_3-0-0_091076_2007-12-29_final
2009-11-29 11:14:04	ga_ls7e_ard_3-0-0_111067_2009-11-29_final
2010-12-12 10:17:17	ga_ls7e_ard_3-0-0_101074_2010-12-12_final
2010-12-25 11:25:46	ga_ls7e_ard_3-0-0_112075_2010-12-25_final
2012-06-25 09:27:32	ga_ls7e_ard_3-0-0_092085_2012-06-24_final
2013-03-05 10:35:35	ga_ls7e_ard_3-0-0_103081_2013-03-05_final
2013-03-20 09:54:16	ga_ls7e_ard_3-1-0_096086_2013-03-20_final
2014-06-29 11:17:47	ga_ls7e_ard_3-0-0_110075_2014-06-29_final
2015-01-03 11:45:09	ga_ls7e_ard_3-0-0_114079_2015-01-03_final
2015-05-18 11:51:51	ga_ls7e_ard_3-0-0_115078_2015-05-18_final
2016-09-13 09:47:07	ga_ls7e_ard_3-0-0_095067_2016-09-13_final
2017-05-16 10:05:26	ga_ls7e_ard_3-0-0_098067_2017-05-16_final
2017-10-14 10:18:09	ga_ls7e_ard_3-0-0_099083_2017-10-14_final
2018-02-07 11:25:17	ga_ls7e_ard_3-0-0_111068_2018-02-07_final
2018-03-05 10:24:25	ga_ls7e_ard_3-0-0_101071_2018-03-05_final
2018-03-14 10:18:31	ga_ls7e_ard_3-0-0_100072_2018-03-14_final
2018-04-01 11:42:48	ga_ls7e_ard_3-0-0_114067_2018-04-01_final
2018-06-24 11:19:27	ga_ls7e_ard_3-0-0_110074_2018-06-24_final
2018-08-11 09:43:16	ga_ls7e_ard_3-1-0_094083_2018-08-11_final
2018-09-16 10:55:29	ga_ls7e_ard_3-0-0_106080_2018-09-16_final
2018-10-11 10:46:42	ga_ls7e_ard_3-0-0_105075_2018-10-11_final
2019-03-26 11:43:47	ga_ls7e_ard_3-1-0_115075_2019-03-26_final
2019-07-27 09:45:22	ga_ls7e_ard_3-0-0_096084_2019-07-27_final
2020-02-01 09:04:37	ga_ls7e_ard_3-1-0_091081_2020-01-31_final
2020-03-02 09:16:37	ga_ls7e_ard_3-1-0_093084_2020-03-01_final
2020-07-27 11:10:58	ga_ls7e_ard_3-1-0_114067_2020-07-27_final
2020-07-28 10:21:16	ga_ls7e_ard_3-1-0_105082_2020-07-28_final
2020-11-29 10:35:26	ga_ls7e_ard_3-1-0_109076_2020-11-29_final
2021-07-16 10:37:52	ga_ls7e_ard_3-2-0_112081_2021-07-16_final
2022-01-17 10:11:55	ga_ls7e_ard_3-2-1_111074_2022-01-17_final
2022-03-12 09:32:42	ga_ls7e_ard_3-2-1_105082_2022-03-12_final
2022-04-01 09:06:03	ga_ls7e_ard_3-2-1_101082_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