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

45 results

Time (local)	Label
1999-07-25 10:06:21	ga_ls7e_ard_3-0-0_099078_1999-07-25_final
1999-09-11 10:06:24	ga_ls7e_ard_3-0-0_099078_1999-09-11_final
1999-09-23 10:32:23	ga_ls7e_ard_3-0-0_103081_1999-09-23_final
2000-10-15 10:03:13	ga_ls7e_ard_3-0-0_099077_2000-10-15_final
2001-02-04 10:00:46	ga_ls7e_ard_3-0-0_099070_2001-02-04_final
2001-03-04 10:26:11	ga_ls7e_ard_3-0-0_103072_2001-03-04_final
2001-12-10 10:16:41	ga_ls7e_ard_3-0-0_102068_2001-12-10_final
2003-01-14 10:21:40	ga_ls7e_ard_3-0-0_102081_2003-01-14_final
2003-05-17 10:02:13	ga_ls7e_ard_3-0-0_099078_2003-05-17_final
2003-06-01 09:19:45	ga_ls7e_ard_3-0-0_092080_2003-05-31_final
2004-06-26 11:03:09	ga_ls7e_ard_3-0-0_109075_2004-06-26_final
2004-08-14 10:08:06	ga_ls7e_ard_3-0-0_100077_2004-08-14_final
2005-10-04 10:08:22	ga_ls7e_ard_3-0-0_100077_2005-10-04_final
2005-12-26 09:05:48	ga_ls7e_ard_3-1-0_089089_2005-12-25_final
2006-03-12 09:30:32	ga_ls7e_ard_3-0-0_093088_2006-03-12_final
2007-07-31 10:01:15	ga_ls7e_ard_3-0-0_099072_2007-07-31_final
2008-03-25 10:18:01	ga_ls7e_ard_3-0-0_101083_2008-03-25_final
2009-12-03 09:14:06	ga_ls7e_ard_3-0-0_091076_2009-12-02_final
2010-05-23 10:34:56	ga_ls7e_ard_3-0-0_104074_2010-05-23_final
2010-10-11 10:02:40	ga_ls7e_ard_3-0-0_099070_2010-10-11_final
2011-03-01 11:10:38	ga_ls7e_ard_3-0-0_110067_2011-03-01_final
2013-06-09 10:35:07	ga_ls7e_ard_3-0-0_103081_2013-06-09_final
2013-06-16 09:02:47	ga_ls7e_ard_3-0-0_088082_2013-06-15_final
2014-01-19 10:36:05	ga_ls7e_ard_3-0-0_103081_2014-01-19_final
2015-06-30 09:57:49	ga_ls7e_ard_3-1-0_096086_2015-06-30_final
2016-06-28 10:21:52	ga_ls7e_ard_3-0-0_100077_2016-06-28_final
2016-10-14 10:48:46	ga_ls7e_ard_3-0-0_104082_2016-10-14_final
2017-03-13 10:11:54	ga_ls7e_ard_3-0-0_098084_2017-03-13_final
2017-04-04 11:08:12	ga_ls7e_ard_3-0-0_108070_2017-04-04_final
2018-01-25 10:21:07	ga_ls7e_ard_3-0-0_100077_2018-01-25_final
2018-03-04 11:23:38	ga_ls7e_ard_3-0-0_110080_2018-03-04_final
2018-05-10 10:13:49	ga_ls7e_ard_3-0-0_099078_2018-05-10_final
2018-06-02 10:19:38	ga_ls7e_ard_3-0-0_100078_2018-06-02_final
2018-12-04 10:09:09	ga_ls7e_ard_3-0-0_099077_2018-12-04_final
2019-01-06 09:12:35	ga_ls7e_ard_3-0-0_090077_2019-01-05_final
2019-05-13 10:03:57	ga_ls7e_ard_3-0-0_099077_2019-05-13_final
2019-08-05 09:36:02	ga_ls7e_ard_3-0-0_095077_2019-08-05_final
2019-12-23 09:54:53	ga_ls7e_ard_3-1-0_099078_2019-12-23_final
2020-02-26 10:32:26	ga_ls7e_ard_3-1-0_106072_2020-02-26_final
2020-12-30 09:47:30	ga_ls7e_ard_3-1-0_102070_2020-12-30_final
2021-01-02 08:46:05	ga_ls7e_ard_3-1-0_091087_2021-01-01_final
2021-01-13 10:03:40	ga_ls7e_ard_3-1-0_104082_2021-01-13_final
2021-02-22 09:12:29	ga_ls7e_ard_3-2-0_096085_2021-02-21_final
2021-07-18 10:22:09	ga_ls7e_ard_3-2-0_110073_2021-07-18_final
2022-01-14 08:08:25	ga_ls7e_ard_3-2-1_090089_2022-01-13_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years