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

49 results

Time (local)	Label
2000-01-11 10:41:27	ga_ls7e_ard_3-0-0_105073_2000-01-11_final
2001-01-30 09:42:41	ga_ls7e_ard_3-0-0_096071_2001-01-30_final
2001-12-14 09:56:24	ga_ls7e_ard_3-0-0_098079_2001-12-14_final
2002-10-03 10:13:12	ga_ls7e_ard_3-0-0_101077_2002-10-03_final
2004-06-04 10:02:38	ga_ls7e_ard_3-0-0_099078_2004-06-04_final
2005-09-24 09:34:05	ga_ls7e_ard_3-0-0_094084_2005-09-24_final
2006-06-26 10:01:51	ga_ls7e_ard_3-0-0_099074_2006-06-26_final
2006-10-06 11:02:14	ga_ls7e_ard_3-0-0_109072_2006-10-06_final
2007-01-22 09:47:49	ga_ls7e_ard_3-0-0_097069_2007-01-22_final
2007-04-09 09:25:10	ga_ls7e_ard_3-0-0_092089_2007-04-08_final
2008-03-03 09:18:15	ga_ls7e_ard_3-0-0_091088_2008-03-02_final
2008-07-07 09:24:20	ga_ls7e_ard_3-0-0_093074_2008-07-06_final
2008-07-30 11:09:34	ga_ls7e_ard_3-0-0_110075_2008-07-30_final
2008-08-04 11:30:04	ga_ls7e_ard_3-0-0_113080_2008-08-04_final
2008-12-10 09:47:00	ga_ls7e_ard_3-0-0_097069_2008-12-10_final
2009-11-04 09:42:15	ga_ls7e_ard_3-0-0_096070_2009-11-04_final
2010-04-02 11:43:24	ga_ls7e_ard_3-0-0_115075_2010-04-02_final
2010-04-12 09:08:19	ga_ls7e_ard_3-0-0_089089_2010-04-11_final
2011-07-18 09:21:11	ga_ls7e_ard_3-0-0_091087_2011-07-17_final
2012-03-16 10:40:44	ga_ls7e_ard_3-0-0_105068_2012-03-16_final
2012-05-24 09:28:51	ga_ls7e_ard_3-0-0_092088_2012-05-23_final
2012-09-16 11:35:05	ga_ls7e_ard_3-0-0_113077_2012-09-16_final
2012-10-10 09:07:45	ga_ls7e_ard_3-0-0_089079_2012-10-09_final
2012-11-16 09:27:24	ga_ls7e_ard_3-0-0_092081_2012-11-15_final
2013-01-21 10:48:58	ga_ls7e_ard_3-0-0_106068_2013-01-21_final
2013-03-02 10:05:52	ga_ls7e_ard_3-0-0_098084_2013-03-02_final
2013-10-19 10:11:33	ga_ls7e_ard_3-0-0_099083_2013-10-19_final
2014-02-07 09:25:57	ga_ls7e_ard_3-0-0_092075_2014-02-06_final
2014-04-06 10:03:55	ga_ls7e_ard_3-0-0_098077_2014-04-06_final
2014-07-28 09:09:44	ga_ls7e_ard_3-0-0_089079_2014-07-27_final
2015-01-11 10:51:22	ga_ls7e_ard_3-0-0_106068_2015-01-11_final
2015-05-27 10:06:48	ga_ls7e_ard_3-0-0_098078_2015-05-27_final
2015-09-07 10:13:00	ga_ls7e_ard_3-0-0_099077_2015-09-07_final
2016-01-07 10:48:07	ga_ls7e_ard_3-0-0_105068_2016-01-07_final
2016-08-07 09:36:04	ga_ls7e_ard_3-0-0_092086_2016-08-07_final
2017-01-07 09:27:30	ga_ls7e_ard_3-0-0_091081_2017-01-06_final
2018-05-12 10:00:37	ga_ls7e_ard_3-1-0_097076_2018-05-12_final
2018-06-13 09:58:55	ga_ls7e_ard_3-0-0_097073_2018-06-13_final
2018-09-29 10:23:05	ga_ls7e_ard_3-0-0_101077_2018-09-29_final
2019-05-26 11:10:14	ga_ls7e_ard_3-0-0_110074_2019-05-26_final
2019-06-05 10:08:05	ga_ls7e_ard_3-0-0_100074_2019-06-05_final
2019-08-07 11:05:16	ga_ls7e_ard_3-0-0_109084_2019-08-07_final
2019-11-21 09:56:04	ga_ls7e_ard_3-1-0_099077_2019-11-21_final
2020-04-07 10:25:35	ga_ls7e_ard_3-1-0_105076_2020-04-07_final
2020-09-19 10:32:00	ga_ls7e_ard_3-1-0_108071_2020-09-19_final
2020-10-15 11:11:00	ga_ls7e_ard_3-1-0_114080_2020-10-15_final
2021-03-21 10:25:07	ga_ls7e_ard_3-2-0_109071_2021-03-21_final
2021-10-09 09:09:16	ga_ls7e_ard_3-2-0_099079_2021-10-08_final
2021-11-02 08:16:51	ga_ls7e_ard_3-2-0_091077_2021-11-01_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