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

43 results

Time (local)	Label
2000-07-28 09:08:41	ga_ls7e_ard_3-0-0_090077_2000-07-27_final
2002-12-15 10:05:09	ga_ls7e_ard_3-0-0_100071_2002-12-15_final
2003-09-01 11:17:49	ga_ls7e_ard_3-0-0_112067_2003-09-01_final
2004-03-22 11:03:00	ga_ls7e_ard_3-0-0_109074_2004-03-22_final
2004-11-11 09:58:52	ga_ls7e_ard_3-0-0_099069_2004-11-11_final
2005-03-08 10:22:57	ga_ls7e_ard_3-0-0_102081_2005-03-08_final
2005-09-18 10:08:22	ga_ls7e_ard_3-0-0_100077_2005-09-18_final
2005-11-03 10:19:26	ga_ls7e_ard_3-0-0_102073_2005-11-03_final
2007-07-20 10:23:26	ga_ls7e_ard_3-0-0_102081_2007-07-20_final
2007-09-16 09:24:03	ga_ls7e_ard_3-0-0_092088_2007-09-15_final
2008-01-28 10:20:24	ga_ls7e_ard_3-0-0_102073_2008-01-28_final
2009-03-21 10:09:54	ga_ls7e_ard_3-0-0_100078_2009-03-21_final
2009-05-03 09:49:10	ga_ls7e_ard_3-0-0_097072_2009-05-03_final
2009-08-17 10:29:36	ga_ls7e_ard_3-0-0_103081_2009-08-17_final
2010-03-19 09:49:43	ga_ls7e_ard_3-0-0_097069_2010-03-19_final
2010-04-08 09:29:27	ga_ls7e_ard_3-0-0_093080_2010-04-07_final
2010-10-30 10:38:32	ga_ls7e_ard_3-0-0_104082_2010-10-30_final
2010-11-13 09:10:11	ga_ls7e_ard_3-0-0_090077_2010-11-12_final
2011-07-18 09:21:35	ga_ls7e_ard_3-0-0_091088_2011-07-17_final
2011-10-13 11:00:23	ga_ls7e_ard_3-0-0_108073_2011-10-13_final
2012-01-08 11:09:21	ga_ls7e_ard_3-0-0_109078_2012-01-08_final
2013-02-03 10:23:41	ga_ls7e_ard_3-0-0_101082_2013-02-03_final
2013-05-30 11:31:25	ga_ls7e_ard_3-0-0_113067_2013-05-30_final
2013-06-12 09:24:44	ga_ls7e_ard_3-0-0_092075_2013-06-11_final
2014-12-12 10:44:27	ga_ls7e_ard_3-0-0_104082_2014-12-12_final
2016-01-23 10:50:44	ga_ls7e_ard_3-0-0_105074_2016-01-23_final
2016-03-23 09:41:22	ga_ls7e_ard_3-0-0_093085_2016-03-23_final
2016-07-28 10:35:52	ga_ls7e_ard_3-0-0_102081_2016-07-28_final
2017-06-03 11:32:02	ga_ls7e_ard_3-0-0_112067_2017-06-03_final
2017-06-21 09:40:52	ga_ls7e_ard_3-1-0_094067_2017-06-21_final
2017-12-03 10:06:26	ga_ls7e_ard_3-0-0_097085_2017-12-03_final
2018-07-30 09:21:33	ga_ls7e_ard_3-0-0_090090_2018-07-29_final
2019-06-25 11:18:43	ga_ls7e_ard_3-0-0_112067_2019-06-25_final
2019-11-20 10:52:56	ga_ls7e_ard_3-1-0_108080_2019-11-20_final
2020-05-03 09:20:39	ga_ls7e_ard_3-1-0_095072_2020-05-02_final
2020-07-29 09:27:11	ga_ls7e_ard_3-1-0_096086_2020-07-28_final
2020-09-13 09:35:23	ga_ls7e_ard_3-1-0_098083_2020-09-13_final
2021-07-25 08:46:27	ga_ls7e_ard_3-2-0_095067_2021-07-24_final
2021-08-05 08:33:43	ga_ls7e_ard_3-2-0_092084_2021-08-04_final
2021-08-10 08:52:37	ga_ls7e_ard_3-2-0_095086_2021-08-09_final
2021-08-12 10:14:34	ga_ls7e_ard_3-2-0_109075_2021-08-12_final
2021-10-01 08:23:19	ga_ls7e_ard_3-2-0_091086_2021-09-30_final
2022-02-20 09:54:11	ga_ls7e_ard_3-2-1_109069_2022-02-20_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