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

80 results

Time (local)	Label
1999-12-09 09:59:51	ga_ls7e_ard_3-0-0_098077_1999-12-09_final
1999-12-23 10:10:59	ga_ls7e_ard_3-0-0_100074_1999-12-23_final
2000-03-06 10:46:11	ga_ls7e_ard_3-0-0_106070_2000-03-06_final
2000-06-04 09:50:03	ga_ls7e_ard_3-1-0_096086_2000-06-04_final
2000-07-13 09:49:03	ga_ls7e_ard_3-0-0_097069_2000-07-13_final
2000-07-30 08:58:19	ga_ls7e_ard_3-0-0_088082_2000-07-29_final
2000-12-05 10:30:44	ga_ls7e_ard_3-0-0_104068_2000-12-05_final
2001-01-27 09:17:00	ga_ls7e_ard_3-0-0_091084_2001-01-26_final
2001-03-21 09:28:25	ga_ls7e_ard_3-1-0_094067_2001-03-20_final
2001-06-05 09:57:00	ga_ls7e_ard_3-0-0_098078_2001-06-05_final
2001-11-06 10:33:37	ga_ls7e_ard_3-0-0_104080_2001-11-06_final
2001-12-30 11:30:27	ga_ls7e_ard_3-0-0_114067_2001-12-30_final
2002-02-07 10:02:47	ga_ls7e_ard_3-0-0_099079_2002-02-07_final
2002-03-29 09:46:22	ga_ls7e_ard_3-0-0_097069_2002-03-29_final
2002-06-12 09:26:45	ga_ls7e_ard_3-1-0_094067_2002-06-11_final
2002-07-30 11:10:56	ga_ls7e_ard_3-0-0_110081_2002-07-30_final
2002-11-21 09:19:34	ga_ls7e_ard_3-0-0_092081_2002-11-20_final
2003-02-24 10:14:56	ga_ls7e_ard_3-0-0_101079_2003-02-24_final
2004-02-11 10:12:36	ga_ls7e_ard_3-0-0_101072_2004-02-11_final
2004-06-05 09:10:12	ga_ls7e_ard_3-0-0_090086_2004-06-04_final
2004-10-05 09:46:43	ga_ls7e_ard_3-1-0_096086_2004-10-05_final
2004-10-14 09:32:59	ga_ls7e_ard_3-0-0_095067_2004-10-14_final
2005-01-09 09:43:10	ga_ls7e_ard_3-0-0_096075_2005-01-09_final
2005-06-26 10:31:50	ga_ls7e_ard_3-0-0_104073_2005-06-26_final
2005-08-28 11:30:52	ga_ls7e_ard_3-0-0_113082_2005-08-28_final
2005-09-28 09:06:34	ga_ls7e_ard_3-0-0_090077_2005-09-27_final
2005-11-08 09:03:56	ga_ls7e_ard_3-0-0_089085_2005-11-07_final
2005-12-09 11:31:27	ga_ls7e_ard_3-0-0_114067_2005-12-09_final
2006-01-27 09:06:04	ga_ls7e_ard_3-0-0_089089_2006-01-26_final
2006-10-10 09:05:29	ga_ls7e_ard_3-0-0_089089_2006-10-09_final
2007-03-05 10:24:45	ga_ls7e_ard_3-0-0_103068_2007-03-05_final
2007-09-27 09:05:52	ga_ls7e_ard_3-0-0_089089_2007-09-26_final
2007-10-28 11:31:46	ga_ls7e_ard_3-0-0_114067_2007-10-28_final
2007-10-30 09:42:57	ga_ls7e_ard_3-0-0_096073_2007-10-30_final
2007-10-30 11:19:26	ga_ls7e_ard_3-0-0_112067_2007-10-30_final
2007-11-15 09:46:17	ga_ls7e_ard_3-0-0_096081_2007-11-15_final
2008-02-07 09:22:10	ga_ls7e_ard_3-0-0_092082_2008-02-06_final
2008-06-30 09:23:02	ga_ls7e_ard_3-0-0_092086_2008-06-29_final
2008-12-25 09:11:52	ga_ls7e_ard_3-0-0_090089_2008-12-24_final
2009-01-16 10:08:12	ga_ls7e_ard_3-0-0_100075_2009-01-16_final
2009-08-31 09:06:17	ga_ls7e_ard_3-1-0_089089_2009-08-30_final
2009-09-05 09:24:25	ga_ls7e_ard_3-0-0_092088_2009-09-04_final
2009-11-26 09:08:14	ga_ls7e_ard_3-0-0_090077_2009-11-25_final
2010-01-16 09:37:56	ga_ls7e_ard_3-0-0_095072_2010-01-16_final
2010-03-16 09:21:12	ga_ls7e_ard_3-0-0_092075_2010-03-15_final
2011-08-06 09:44:01	ga_ls7e_ard_3-0-0_096067_2011-08-06_final
2011-08-15 11:22:41	ga_ls7e_ard_3-1-0_111082_2011-08-15_final
2012-01-04 11:29:40	ga_ls7e_ard_3-0-0_113067_2012-01-04_final
2012-02-22 10:34:34	ga_ls7e_ard_3-0-0_104068_2012-02-22_final
2012-07-06 09:09:34	ga_ls7e_ard_3-0-0_089086_2012-07-05_final
2012-07-26 10:20:22	ga_ls7e_ard_3-0-0_101077_2012-07-26_final
2015-02-09 10:21:47	ga_ls7e_ard_3-0-0_101071_2015-02-09_final
2015-03-25 09:15:09	ga_ls7e_ard_3-0-0_089089_2015-03-24_final
2015-04-01 09:21:45	ga_ls7e_ard_3-0-0_090090_2015-03-31_final
2015-07-21 11:52:33	ga_ls7e_ard_3-0-0_115079_2015-07-21_final
2015-10-18 11:42:05	ga_ls7e_ard_3-0-0_114067_2015-10-18_final
2015-11-25 09:29:55	ga_ls7e_ard_3-1-0_092075_2015-11-24_final
2016-01-17 09:46:04	ga_ls7e_ard_3-0-0_095067_2016-01-17_final
2016-10-11 10:12:41	ga_ls7e_ard_3-0-0_099069_2016-10-11_final
2016-11-05 11:44:28	ga_ls7e_ard_3-0-0_114067_2016-11-05_final
2017-01-09 10:50:49	ga_ls7e_ard_3-0-0_105073_2017-01-09_final
2017-10-27 11:19:45	ga_ls7e_ard_3-0-0_110067_2017-10-27_final
2018-01-02 10:12:29	ga_ls7e_ard_3-0-0_099070_2018-01-02_final
2018-04-11 10:46:50	ga_ls7e_ard_3-0-0_104082_2018-04-11_final
2018-04-12 09:48:00	ga_ls7e_ard_3-0-0_095074_2018-04-12_final
2018-06-24 09:37:46	ga_ls7e_ard_3-1-0_094067_2018-06-24_final
2018-10-03 09:55:04	ga_ls7e_ard_3-0-0_097069_2018-10-03_final
2018-10-17 10:13:04	ga_ls7e_ard_3-0-0_099084_2018-10-17_final
2019-03-26 10:03:19	ga_ls7e_ard_3-1-0_099071_2019-03-26_final
2019-06-18 09:33:55	ga_ls7e_ard_3-0-0_095067_2019-06-18_final
2019-09-02 09:59:34	ga_ls7e_ard_3-1-0_099077_2019-09-02_final
2020-03-29 10:35:04	ga_ls7e_ard_3-1-0_106083_2020-03-29_final
2020-06-13 09:12:49	ga_ls7e_ard_3-1-0_094074_2020-06-12_final
2020-07-25 09:48:58	ga_ls7e_ard_3-1-0_100078_2020-07-25_final
2020-10-26 10:49:21	ga_ls7e_ard_3-1-0_111074_2020-10-26_final
2021-12-16 08:41:21	ga_ls7e_ard_3-2-1_095087_2021-12-15_final
2022-02-19 09:14:12	ga_ls7e_ard_3-2-1_102077_2022-02-18_final
2022-02-22 08:08:20	ga_ls7e_ard_3-2-1_091083_2022-02-21_final
2022-02-27 10:05:17	ga_ls7e_ard_3-2-1_110083_2022-02-27_final
2022-03-02 10:34:17	ga_ls7e_ard_3-2-1_115079_2022-03-02_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