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

48 results

Time (local)	Label
2000-05-30 11:06:04	ga_ls7e_ard_3-0-0_109075_2000-05-30_final
2002-02-23 09:58:25	ga_ls7e_ard_3-0-0_099068_2002-02-23_final
2002-06-29 10:14:19	ga_ls7e_ard_3-0-0_101078_2002-06-29_final
2002-07-17 10:01:28	ga_ls7e_ard_3-0-0_099077_2002-07-17_final
2003-05-30 11:09:24	ga_ls7e_ard_3-1-0_110076_2003-05-30_final
2003-07-27 10:08:11	ga_ls7e_ard_3-0-0_100078_2003-07-27_final
2003-10-04 10:22:25	ga_ls7e_ard_3-0-0_103068_2003-10-04_final
2003-12-09 10:13:24	ga_ls7e_ard_3-1-0_101075_2003-12-09_final
2003-12-26 09:22:44	ga_ls7e_ard_3-0-0_092087_2003-12-25_final
2004-11-08 11:09:14	ga_ls7e_ard_3-0-0_110075_2004-11-08_final
2005-01-27 11:09:42	ga_ls7e_ard_3-0-0_110075_2005-01-27_final
2005-07-31 11:02:20	ga_ls7e_ard_3-0-0_109072_2005-07-31_final
2006-04-25 09:53:34	ga_ls7e_ard_3-0-0_097084_2006-04-25_final
2009-03-16 11:25:49	ga_ls7e_ard_3-0-0_113067_2009-03-16_final
2009-04-23 09:18:51	ga_ls7e_ard_3-0-0_091089_2009-04-22_final
2009-06-07 10:20:54	ga_ls7e_ard_3-0-0_102074_2009-06-07_final
2009-07-14 10:40:08	ga_ls7e_ard_3-0-0_105076_2009-07-14_final
2009-08-30 09:59:54	ga_ls7e_ard_3-0-0_098084_2009-08-30_final
2009-12-02 10:10:06	ga_ls7e_ard_3-0-0_100077_2009-12-02_final
2010-07-06 09:24:03	ga_ls7e_ard_3-0-0_092082_2010-07-05_final
2010-10-28 09:13:35	ga_ls7e_ard_3-0-0_090086_2010-10-27_final
2011-01-05 11:10:56	ga_ls7e_ard_3-0-0_109084_2011-01-05_final
2011-11-26 09:50:40	ga_ls7e_ard_3-0-0_096083_2011-11-26_final
2012-03-08 09:52:50	ga_ls7e_ard_3-0-0_097072_2012-03-08_final
2013-04-06 10:35:29	ga_ls7e_ard_3-0-0_103081_2013-04-06_final
2014-02-23 09:30:58	ga_ls7e_ard_3-0-0_092088_2014-02-23_final
2015-06-12 10:03:21	ga_ls7e_ard_3-0-0_098069_2015-06-12_final
2016-02-11 09:42:29	ga_ls7e_ard_3-0-0_094073_2016-02-11_final
2016-03-05 11:25:42	ga_ls7e_ard_3-0-0_111068_2016-03-05_final
2016-03-30 11:22:04	ga_ls7e_ard_3-0-0_110074_2016-03-30_final
2016-04-11 10:11:58	ga_ls7e_ard_3-0-0_098084_2016-04-11_final
2016-08-16 11:07:34	ga_ls7e_ard_3-0-0_107083_2016-08-16_final
2017-09-15 10:48:36	ga_ls7e_ard_3-0-0_104082_2017-09-15_final
2018-03-20 09:39:22	ga_ls7e_ard_3-1-0_094067_2018-03-20_final
2018-05-01 10:22:09	ga_ls7e_ard_3-0-0_100083_2018-05-01_final
2018-11-28 10:42:48	ga_ls7e_ard_3-0-0_105068_2018-11-28_final
2019-03-15 10:22:13	ga_ls7e_ard_3-1-0_102071_2019-03-15_final
2019-05-05 09:18:25	ga_ls7e_ard_3-1-0_091086_2019-05-04_final
2019-12-07 09:55:42	ga_ls7e_ard_3-1-0_099078_2019-12-07_final
2020-01-24 09:53:16	ga_ls7e_ard_3-1-0_099078_2020-01-24_final
2020-04-02 10:04:56	ga_ls7e_ard_3-1-0_102070_2020-04-02_final
2020-07-15 10:50:59	ga_ls7e_ard_3-1-0_110077_2020-07-15_final
2020-09-13 11:10:40	ga_ls7e_ard_3-1-0_114074_2020-09-13_final
2021-06-02 10:14:00	ga_ls7e_ard_3-2-0_108074_2021-06-02_final
2021-11-11 08:14:36	ga_ls7e_ard_3-2-0_090089_2021-11-10_final
2022-02-23 10:28:47	ga_ls7e_ard_3-2-1_114079_2022-02-23_final
2022-04-02 09:45:37	ga_ls7e_ard_3-2-1_108073_2022-04-02_final
2022-04-04 09:35:51	ga_ls7e_ard_3-2-1_106080_2022-04-04_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