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
1999-10-27 10:17:34	ga_ls7e_ard_3-1-0_101075_1999-10-27_final
2000-03-24 10:33:50	ga_ls7e_ard_3-1-0_104070_2000-03-24_final
2000-07-27 11:43:12	ga_ls7e_ard_3-1-0_115077_2000-07-27_final
2001-07-20 11:05:50	ga_ls7e_ard_3-1-0_109081_2001-07-20_final
2001-08-18 10:30:03	ga_ls7e_ard_3-1-0_104070_2001-08-18_final
2002-05-12 10:13:27	ga_ls7e_ard_3-1-0_101075_2002-05-12_final
2002-12-14 09:26:41	ga_ls7e_ard_3-1-0_093083_2002-12-13_final
2005-05-10 09:38:49	ga_ls7e_ard_3-1-0_095079_2005-05-10_final
2005-05-24 09:49:57	ga_ls7e_ard_3-1-0_097076_2005-05-24_final
2006-01-05 09:38:59	ga_ls7e_ard_3-1-0_095079_2006-01-05_final
2006-05-11 09:50:26	ga_ls7e_ard_3-1-0_097076_2006-05-11_final
2006-08-16 10:30:54	ga_ls7e_ard_3-1-0_104070_2006-08-16_final
2006-08-27 10:14:19	ga_ls7e_ard_3-1-0_101075_2006-08-27_final
2006-09-12 10:14:14	ga_ls7e_ard_3-1-0_101075_2006-09-12_final
2006-09-28 10:14:07	ga_ls7e_ard_3-1-0_101075_2006-09-28_final
2006-11-03 09:50:08	ga_ls7e_ard_3-1-0_097076_2006-11-03_final
2007-04-08 10:15:12	ga_ls7e_ard_3-1-0_101075_2007-04-08_final
2007-04-12 09:50:53	ga_ls7e_ard_3-1-0_097076_2007-04-12_final
2007-04-16 09:28:56	ga_ls7e_ard_3-1-0_093083_2007-04-15_final
2007-07-05 11:06:45	ga_ls7e_ard_3-1-0_109081_2007-07-05_final
2007-08-04 11:19:23	ga_ls7e_ard_3-1-0_111082_2007-08-04_final
2007-11-18 10:14:49	ga_ls7e_ard_3-1-0_101075_2007-11-18_final
2008-05-27 09:34:31	ga_ls7e_ard_3-1-0_094083_2008-05-27_final
2008-07-04 10:30:46	ga_ls7e_ard_3-1-0_104070_2008-07-04_final
2008-07-30 09:33:52	ga_ls7e_ard_3-1-0_094083_2008-07-30_final
2009-01-10 10:45:15	ga_ls7e_ard_3-1-0_106075_2009-01-10_final
2009-09-08 09:50:32	ga_ls7e_ard_3-1-0_097076_2009-09-08_final
2009-09-23 10:45:43	ga_ls7e_ard_3-1-0_106075_2009-09-23_final
2010-03-30 09:36:48	ga_ls7e_ard_3-1-0_094083_2010-03-30_final
2010-03-31 10:16:53	ga_ls7e_ard_3-1-0_101075_2010-03-31_final
2010-09-10 10:48:40	ga_ls7e_ard_3-1-0_106077_2010-09-10_final
2011-01-21 09:30:10	ga_ls7e_ard_3-1-0_093079_2011-01-21_final
2011-06-14 11:10:06	ga_ls7e_ard_3-1-0_109081_2011-06-14_final
2011-09-13 10:48:52	ga_ls7e_ard_3-1-0_106075_2011-09-13_final
2012-08-14 09:15:49	ga_ls7e_ard_3-1-0_090085_2012-08-13_final
2013-03-02 10:04:17	ga_ls7e_ard_3-1-0_098080_2013-03-02_final
2013-08-04 11:24:32	ga_ls7e_ard_3-1-0_111082_2013-08-04_final
2013-08-20 11:24:37	ga_ls7e_ard_3-1-0_111082_2013-08-20_final
2013-09-17 11:47:40	ga_ls7e_ard_3-1-0_115077_2013-09-17_final
2013-10-06 10:37:07	ga_ls7e_ard_3-1-0_104070_2013-10-06_final
2013-12-25 10:37:37	ga_ls7e_ard_3-1-0_104070_2013-12-25_final
2014-01-10 10:37:40	ga_ls7e_ard_3-1-0_104070_2014-01-10_final
2014-01-24 10:52:20	ga_ls7e_ard_3-1-0_106075_2014-01-24_final
2014-04-12 09:30:05	ga_ls7e_ard_3-1-0_092085_2014-04-12_final
2014-06-17 09:16:53	ga_ls7e_ard_3-1-0_090082_2014-06-16_final
2015-02-18 10:19:38	ga_ls7e_ard_3-1-0_100081_2015-02-18_final
2015-03-28 09:37:17	ga_ls7e_ard_3-1-0_094067_2015-03-28_final
2016-03-18 10:58:29	ga_ls7e_ard_3-1-0_106077_2016-03-18_final
2017-05-29 09:40:58	ga_ls7e_ard_3-1-0_093083_2017-05-29_final
2017-12-30 09:40:25	ga_ls7e_ard_3-1-0_094067_2017-12-30_final
2018-11-03 09:16:17	ga_ls7e_ard_3-1-0_090082_2018-11-02_final
2019-02-17 11:29:38	ga_ls7e_ard_3-1-0_112083_2019-02-17_final
2019-03-03 11:39:58	ga_ls7e_ard_3-1-0_114079_2019-03-03_final
2019-03-10 10:07:50	ga_ls7e_ard_3-1-0_099081_2019-03-10_final
2019-03-14 09:40:35	ga_ls7e_ard_3-1-0_095075_2019-03-14_final
2019-08-24 10:07:44	ga_ls7e_ard_3-1-0_100081_2019-08-24_final
2019-09-18 10:01:40	ga_ls7e_ard_3-1-0_099084_2019-09-18_final
2019-09-26 10:48:21	ga_ls7e_ard_3-1-0_107078_2019-09-26_final
2019-09-26 10:50:45	ga_ls7e_ard_3-1-0_107084_2019-09-26_final
2019-10-10 09:25:15	ga_ls7e_ard_3-1-0_093088_2019-10-09_final
2019-10-18 10:07:58	ga_ls7e_ard_3-1-0_101072_2019-10-18_final
2019-10-20 09:55:55	ga_ls7e_ard_3-1-0_099073_2019-10-20_final
2019-10-22 11:23:57	ga_ls7e_ard_3-1-0_113077_2019-10-22_final
2019-11-07 09:42:22	ga_ls7e_ard_3-1-0_097072_2019-11-07_final
2019-11-08 10:26:23	ga_ls7e_ard_3-1-0_104074_2019-11-08_final
2019-11-14 09:49:25	ga_ls7e_ard_3-1-0_098075_2019-11-14_final
2019-11-14 11:30:18	ga_ls7e_ard_3-1-0_114080_2019-11-14_final
2019-11-25 11:10:27	ga_ls7e_ard_3-1-0_111078_2019-11-25_final
2019-11-25 11:11:15	ga_ls7e_ard_3-1-0_111080_2019-11-25_final
2019-11-30 09:47:52	ga_ls7e_ard_3-1-0_098073_2019-11-30_final
2019-11-30 11:29:08	ga_ls7e_ard_3-1-0_114079_2019-11-30_final
2019-12-04 11:03:26	ga_ls7e_ard_3-1-0_110077_2019-12-04_final
2019-12-06 09:11:41	ga_ls7e_ard_3-1-0_092076_2019-12-05_final
2019-12-13 09:17:31	ga_ls7e_ard_3-1-0_093076_2019-12-12_final
2019-12-13 09:21:31	ga_ls7e_ard_3-1-0_093086_2019-12-12_final
2019-12-14 10:02:19	ga_ls7e_ard_3-1-0_100080_2019-12-14_final
2019-12-30 10:01:30	ga_ls7e_ard_3-1-0_100080_2019-12-30_final
2020-01-04 10:18:11	ga_ls7e_ard_3-1-0_103076_2020-01-04_final
2020-01-10 11:20:52	ga_ls7e_ard_3-1-0_113079_2020-01-10_final
2020-01-15 10:00:17	ga_ls7e_ard_3-1-0_100079_2020-01-15_final
2020-01-22 10:04:56	ga_ls7e_ard_3-1-0_101076_2020-01-22_final
2020-01-25 09:02:23	ga_ls7e_ard_3-1-0_090090_2020-01-24_final
2020-01-26 11:20:05	ga_ls7e_ard_3-1-0_113079_2020-01-26_final
2020-02-02 11:25:55	ga_ls7e_ard_3-1-0_114079_2020-02-02_final
2020-02-05 10:18:11	ga_ls7e_ard_3-1-0_103080_2020-02-05_final
2020-02-21 10:13:46	ga_ls7e_ard_3-1-0_103071_2020-02-21_final
2020-02-27 09:40:45	ga_ls7e_ard_3-1-0_097082_2020-02-27_final
2020-02-29 09:29:05	ga_ls7e_ard_3-1-0_095084_2020-02-28_final
2020-02-29 11:05:58	ga_ls7e_ard_3-1-0_111079_2020-02-29_final
2020-03-12 11:30:02	ga_ls7e_ard_3-1-0_115079_2020-03-12_final
2020-03-18 10:53:25	ga_ls7e_ard_3-1-0_109081_2020-03-18_final
2020-03-19 09:56:57	ga_ls7e_ard_3-1-0_100079_2020-03-19_final
2020-04-01 11:04:12	ga_ls7e_ard_3-1-0_111079_2020-04-01_final
2020-04-10 09:17:02	ga_ls7e_ard_3-1-0_094075_2020-04-09_final
2022-03-20 10:19:44	ga_ls7e_ard_3-2-1_113078_2022-03-20_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_final
2022-03-22 08:27:07	ga_ls7e_ard_3-2-1_095075_2022-03-21_final
2022-03-22 10:08:00	ga_ls7e_ard_3-2-1_111080_2022-03-22_final
2022-03-30 09:16:12	ga_ls7e_ard_3-2-1_103076_2022-03-29_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_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