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

First 100 results (query limit)

Time (local)	Label
2000-03-08 10:33:47	ga_ls7e_ard_3-1-0_104070_2000-03-08_final
2000-10-28 11:09:26	ga_ls7e_ard_3-1-0_110072_2000-10-28_final
2001-02-14 09:03:20	ga_ls7e_ard_3-1-0_089081_2001-02-13_final
2002-02-08 09:09:35	ga_ls7e_ard_3-1-0_090085_2002-02-07_final
2002-04-09 11:07:55	ga_ls7e_ard_3-1-0_110072_2002-04-09_final
2002-10-11 09:27:37	ga_ls7e_ard_3-1-0_093087_2002-10-10_final
2003-08-08 10:30:01	ga_ls7e_ard_3-1-0_104071_2003-08-08_final
2003-10-05 09:32:46	ga_ls7e_ard_3-1-0_094083_2003-10-05_final
2003-10-27 10:29:37	ga_ls7e_ard_3-1-0_104070_2003-10-27_final
2004-05-09 09:27:37	ga_ls7e_ard_3-1-0_093083_2004-05-08_final
2004-05-16 09:29:49	ga_ls7e_ard_3-1-0_094073_2004-05-15_final
2004-07-16 09:01:53	ga_ls7e_ard_3-1-0_089081_2004-07-15_final
2004-12-19 11:05:45	ga_ls7e_ard_3-1-0_109081_2004-12-19_final
2005-02-16 09:10:18	ga_ls7e_ard_3-1-0_090085_2005-02-15_final
2005-07-15 11:05:57	ga_ls7e_ard_3-1-0_109081_2005-07-15_final
2005-10-10 09:30:03	ga_ls7e_ard_3-1-0_094074_2005-10-10_final
2006-06-16 11:06:31	ga_ls7e_ard_3-1-0_109081_2006-06-16_final
2006-09-01 10:30:51	ga_ls7e_ard_3-1-0_104070_2006-09-01_final
2006-10-03 10:30:38	ga_ls7e_ard_3-1-0_104070_2006-10-03_final
2006-11-03 09:50:08	ga_ls7e_ard_3-1-0_097076_2006-11-03_final
2006-11-23 11:06:32	ga_ls7e_ard_3-1-0_109081_2006-11-23_final
2006-12-30 11:23:40	ga_ls7e_ard_3-1-0_112077_2006-12-30_final
2007-02-02 09:34:57	ga_ls7e_ard_3-1-0_094083_2007-02-02_final
2007-05-02 11:06:58	ga_ls7e_ard_3-1-0_109081_2007-05-02_final
2007-09-20 10:31:01	ga_ls7e_ard_3-1-0_104070_2007-09-20_final
2008-08-21 10:30:21	ga_ls7e_ard_3-1-0_104070_2008-08-21_final
2008-11-12 11:05:38	ga_ls7e_ard_3-1-0_109081_2008-11-12_final
2009-08-24 10:31:24	ga_ls7e_ard_3-1-0_104070_2009-08-24_final
2009-11-19 09:03:34	ga_ls7e_ard_3-1-0_089081_2009-11-18_final
2009-12-02 10:11:18	ga_ls7e_ard_3-1-0_100080_2009-12-02_final
2010-03-23 09:29:48	ga_ls7e_ard_3-1-0_093081_2010-03-22_final
2010-04-24 11:08:43	ga_ls7e_ard_3-1-0_109081_2010-04-24_final
2010-04-28 09:05:06	ga_ls7e_ard_3-1-0_089081_2010-04-27_final
2011-07-12 11:34:22	ga_ls7e_ard_3-1-0_113080_2011-07-12_final
2012-06-20 09:07:22	ga_ls7e_ard_3-1-0_089081_2012-06-19_final
2013-06-03 09:34:09	ga_ls7e_ard_3-1-0_093083_2013-06-03_final
2013-07-21 09:30:11	ga_ls7e_ard_3-1-0_093074_2013-07-21_final
2013-10-14 11:32:15	ga_ls7e_ard_3-1-0_112084_2013-10-14_final
2014-09-21 09:18:25	ga_ls7e_ard_3-1-0_090085_2014-09-20_final
2015-07-27 09:38:11	ga_ls7e_ard_3-1-0_093083_2015-07-27_final
2015-08-03 09:44:24	ga_ls7e_ard_3-1-0_094083_2015-08-03_final
2016-08-11 10:43:51	ga_ls7e_ard_3-1-0_104070_2016-08-11_final
2017-03-07 10:43:21	ga_ls7e_ard_3-1-0_104070_2017-03-07_final
2017-06-02 09:15:28	ga_ls7e_ard_3-1-0_089081_2017-06-01_final
2017-09-22 09:15:29	ga_ls7e_ard_3-1-0_089081_2017-09-21_final
2017-10-31 09:23:20	ga_ls7e_ard_3-1-0_090085_2017-10-30_final
2018-05-27 09:20:44	ga_ls7e_ard_3-1-0_090085_2018-05-26_final
2018-06-30 10:40:39	ga_ls7e_ard_3-1-0_104070_2018-06-30_final
2018-11-21 10:37:36	ga_ls7e_ard_3-1-0_104070_2018-11-21_final
2018-12-26 09:33:51	ga_ls7e_ard_3-1-0_093083_2018-12-26_final
2019-02-17 11:28:02	ga_ls7e_ard_3-1-0_112079_2019-02-17_final
2019-02-18 10:29:59	ga_ls7e_ard_3-1-0_103073_2019-02-18_final
2019-02-24 09:52:43	ga_ls7e_ard_3-1-0_097073_2019-02-24_final
2019-02-28 09:31:04	ga_ls7e_ard_3-1-0_093081_2019-02-28_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-07 09:34:38	ga_ls7e_ard_3-1-0_094075_2019-03-07_final
2019-03-16 09:30:33	ga_ls7e_ard_3-1-0_093081_2019-03-16_final
2019-03-23 09:38:30	ga_ls7e_ard_3-1-0_094086_2019-03-23_final
2019-03-23 11:13:47	ga_ls7e_ard_3-1-0_110077_2019-03-23_final
2019-08-30 09:27:36	ga_ls7e_ard_3-1-0_094074_2019-08-29_final
2019-09-05 10:28:45	ga_ls7e_ard_3-1-0_104073_2019-09-05_final
2019-09-20 09:43:38	ga_ls7e_ard_3-1-0_097070_2019-09-20_final
2019-09-25 10:03:56	ga_ls7e_ard_3-1-0_100075_2019-09-25_final
2019-10-05 09:02:56	ga_ls7e_ard_3-1-0_090078_2019-10-04_final
2019-10-22 09:45:28	ga_ls7e_ard_3-1-0_097078_2019-10-22_final
2019-10-29 11:28:38	ga_ls7e_ard_3-1-0_114074_2019-10-29_final
2019-10-31 11:19:23	ga_ls7e_ard_3-1-0_112082_2019-10-31_final
2019-11-06 09:05:56	ga_ls7e_ard_3-1-0_090089_2019-11-05_final
2019-11-07 09:41:34	ga_ls7e_ard_3-1-0_097070_2019-11-07_final
2019-11-07 11:22:51	ga_ls7e_ard_3-1-0_113076_2019-11-07_final
2019-11-11 09:18:40	ga_ls7e_ard_3-1-0_093075_2019-11-10_final
2019-11-17 10:20:59	ga_ls7e_ard_3-1-0_103077_2019-11-17_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-23 09:41:14	ga_ls7e_ard_3-1-0_097071_2019-11-23_final
2019-11-23 09:45:37	ga_ls7e_ard_3-1-0_097082_2019-11-23_final
2019-11-27 09:18:19	ga_ls7e_ard_3-1-0_093076_2019-11-26_final
2019-12-20 09:25:20	ga_ls7e_ard_3-1-0_094081_2019-12-19_final
2019-12-25 09:44:01	ga_ls7e_ard_3-1-0_097082_2019-12-25_final
2020-01-04 10:17:23	ga_ls7e_ard_3-1-0_103074_2020-01-04_final
2020-01-05 11:03:47	ga_ls7e_ard_3-1-0_110082_2020-01-05_final
2020-01-08 09:55:15	ga_ls7e_ard_3-1-0_099081_2020-01-08_final
2020-01-20 10:17:47	ga_ls7e_ard_3-1-0_103077_2020-01-20_final
2020-01-30 09:19:53	ga_ls7e_ard_3-1-0_093088_2020-01-29_final
2020-02-11 11:18:05	ga_ls7e_ard_3-1-0_113076_2020-02-11_final
2020-02-18 11:24:17	ga_ls7e_ard_3-1-0_114077_2020-02-18_final
2020-03-05 11:23:50	ga_ls7e_ard_3-1-0_114078_2020-03-05_final
2020-03-08 10:15:18	ga_ls7e_ard_3-1-0_103077_2020-03-08_final
2020-03-18 09:12:09	ga_ls7e_ard_3-1-0_093075_2020-03-17_final
2020-03-18 09:15:44	ga_ls7e_ard_3-1-0_093084_2020-03-17_final
2020-03-24 10:13:13	ga_ls7e_ard_3-1-0_103074_2020-03-24_final
2020-03-30 09:37:00	ga_ls7e_ard_3-1-0_097077_2020-03-30_final
2020-04-03 10:52:56	ga_ls7e_ard_3-1-0_109082_2020-04-03_final
2020-04-22 11:19:32	ga_ls7e_ard_3-1-0_114074_2020-04-22_final
2020-04-23 08:48:58	ga_ls7e_ard_3-1-0_089084_2020-04-22_final
2020-04-26 09:18:29	ga_ls7e_ard_3-1-0_094081_2020-04-25_final
2022-03-13 08:33:47	ga_ls7e_ard_3-2-1_096074_2022-03-12_final
2022-03-15 10:03:17	ga_ls7e_ard_3-2-1_110082_2022-03-15_final
2022-03-20 10:20:08	ga_ls7e_ard_3-2-1_113079_2022-03-20_final
2022-03-31 08:23:41	ga_ls7e_ard_3-2-1_094084_2022-03-30_final
2022-03-31 08:24:05	ga_ls7e_ard_3-2-1_094085_2022-03-30_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