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
1999-07-26 10:48:25	ga_ls7e_ard_3-1-0_106075_1999-07-26_final
2000-01-31 10:17:29	ga_ls7e_ard_3-1-0_101075_2000-01-31_final
2000-05-30 09:31:58	ga_ls7e_ard_3-1-0_093087_2000-05-30_final
2000-11-14 10:15:01	ga_ls7e_ard_3-1-0_101075_2000-11-14_final
2002-01-17 11:25:03	ga_ls7e_ard_3-1-0_112084_2002-01-17_final
2002-05-07 09:56:58	ga_ls7e_ard_3-1-0_098080_2002-05-07_final
2002-08-12 09:01:05	ga_ls7e_ard_3-1-0_089081_2002-08-11_final
2004-03-19 10:30:30	ga_ls7e_ard_3-1-0_104070_2004-03-19_final
2004-03-27 11:25:32	ga_ls7e_ard_3-1-0_112084_2004-03-27_final
2004-04-30 09:27:23	ga_ls7e_ard_3-1-0_094067_2004-04-29_final
2004-05-15 10:27:02	ga_ls7e_ard_3-1-0_103077_2004-05-15_final
2004-06-17 09:27:15	ga_ls7e_ard_3-1-0_094067_2004-06-16_final
2004-12-26 09:33:55	ga_ls7e_ard_3-1-0_094083_2004-12-26_final
2005-03-12 09:57:50	ga_ls7e_ard_3-1-0_098080_2005-03-12_final
2005-09-25 10:13:45	ga_ls7e_ard_3-1-0_101075_2005-09-25_final
2005-11-23 09:57:41	ga_ls7e_ard_3-1-0_098080_2005-11-23_final
2005-12-11 11:23:05	ga_ls7e_ard_3-1-0_112077_2005-12-11_final
2006-07-02 11:06:25	ga_ls7e_ard_3-1-0_109081_2006-07-02_final
2006-07-31 10:30:55	ga_ls7e_ard_3-1-0_104070_2006-07-31_final
2006-08-27 10:14:19	ga_ls7e_ard_3-1-0_101075_2006-08-27_final
2007-02-22 10:46:03	ga_ls7e_ard_3-1-0_106075_2007-02-22_final
2007-07-16 09:10:53	ga_ls7e_ard_3-1-0_090085_2007-07-15_final
2007-11-02 10:14:40	ga_ls7e_ard_3-1-0_101075_2007-11-02_final
2008-01-09 09:50:43	ga_ls7e_ard_3-1-0_097076_2008-01-09_final
2008-01-20 11:09:27	ga_ls7e_ard_3-1-0_110072_2008-01-20_final
2008-03-01 09:29:02	ga_ls7e_ard_3-1-0_093084_2008-02-29_final
2008-03-29 09:50:30	ga_ls7e_ard_3-1-0_097076_2008-03-29_final
2009-01-26 10:45:20	ga_ls7e_ard_3-1-0_106075_2009-01-26_final
2009-05-08 10:12:31	ga_ls7e_ard_3-1-0_100084_2009-05-08_final
2009-12-17 09:29:51	ga_ls7e_ard_3-1-0_093084_2009-12-16_final
2010-01-05 09:59:30	ga_ls7e_ard_3-1-0_098080_2010-01-05_final
2011-02-17 10:49:02	ga_ls7e_ard_3-1-0_106075_2011-02-17_final
2011-03-30 09:09:42	ga_ls7e_ard_3-1-0_089089_2011-03-29_final
2011-06-17 10:01:43	ga_ls7e_ard_3-1-0_098080_2011-06-17_final
2011-08-04 10:01:35	ga_ls7e_ard_3-1-0_098080_2011-08-04_final
2011-09-02 09:33:23	ga_ls7e_ard_3-1-0_093087_2011-09-02_final
2013-04-04 09:08:58	ga_ls7e_ard_3-1-0_089081_2013-04-03_final
2013-04-27 10:51:30	ga_ls7e_ard_3-1-0_106075_2013-04-27_final
2013-06-26 11:14:41	ga_ls7e_ard_3-1-0_110072_2013-06-26_final
2013-12-31 10:04:34	ga_ls7e_ard_3-1-0_098080_2013-12-31_final
2014-06-22 09:37:28	ga_ls7e_ard_3-1-0_093087_2014-06-22_final
2014-08-29 09:10:32	ga_ls7e_ard_3-1-0_089081_2014-08-28_final
2014-11-10 10:39:29	ga_ls7e_ard_3-1-0_104070_2014-11-10_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2015-12-29 10:56:56	ga_ls7e_ard_3-1-0_106075_2015-12-29_final
2016-01-03 09:41:28	ga_ls7e_ard_3-1-0_093087_2016-01-03_final
2016-07-10 10:43:47	ga_ls7e_ard_3-1-0_104070_2016-07-10_final
2016-07-16 10:10:42	ga_ls7e_ard_3-1-0_098080_2016-07-16_final
2019-02-19 11:15:13	ga_ls7e_ard_3-1-0_110078_2019-02-19_final
2019-02-22 10:03:09	ga_ls7e_ard_3-1-0_099068_2019-02-22_final
2019-03-07 09:37:26	ga_ls7e_ard_3-1-0_094082_2019-03-07_final
2019-03-11 10:51:04	ga_ls7e_ard_3-1-0_106081_2019-03-11_final
2019-06-25 11:25:30	ga_ls7e_ard_3-1-0_112084_2019-06-25_final
2019-07-11 11:24:53	ga_ls7e_ard_3-1-0_112084_2019-07-11_final
2019-09-03 10:41:12	ga_ls7e_ard_3-1-0_106073_2019-09-03_final
2019-09-04 11:28:48	ga_ls7e_ard_3-1-0_113084_2019-09-04_final
2019-09-06 11:15:57	ga_ls7e_ard_3-1-0_111083_2019-09-06_final
2019-09-08 10:59:55	ga_ls7e_ard_3-1-0_109074_2019-09-08_final
2019-09-11 09:53:24	ga_ls7e_ard_3-1-0_098078_2019-09-11_final
2019-10-13 11:29:19	ga_ls7e_ard_3-1-0_114074_2019-10-13_final
2019-10-15 11:16:53	ga_ls7e_ard_3-1-0_112074_2019-10-15_final
2019-10-20 09:54:20	ga_ls7e_ard_3-1-0_099069_2019-10-20_final
2019-10-23 10:27:06	ga_ls7e_ard_3-1-0_104074_2019-10-23_final
2019-10-26 10:57:04	ga_ls7e_ard_3-1-0_109072_2019-10-26_final
2019-11-07 09:45:10	ga_ls7e_ard_3-1-0_097079_2019-11-07_final
2019-11-07 11:25:14	ga_ls7e_ard_3-1-0_113082_2019-11-07_final
2019-11-08 10:25:59	ga_ls7e_ard_3-1-0_104073_2019-11-08_final
2019-11-18 09:28:54	ga_ls7e_ard_3-1-0_094086_2019-11-17_final
2019-11-21 09:58:28	ga_ls7e_ard_3-1-0_099083_2019-11-21_final
2019-11-25 11:12:26	ga_ls7e_ard_3-1-0_111083_2019-11-25_final
2019-11-29 10:45:56	ga_ls7e_ard_3-1-0_107079_2019-11-29_final
2019-12-08 10:35:19	ga_ls7e_ard_3-1-0_106069_2019-12-08_final
2019-12-20 11:01:25	ga_ls7e_ard_3-1-0_110074_2019-12-20_final
2019-12-20 11:04:37	ga_ls7e_ard_3-1-0_110082_2019-12-20_final
2019-12-20 11:05:01	ga_ls7e_ard_3-1-0_110083_2019-12-20_final
2019-12-21 10:09:21	ga_ls7e_ard_3-1-0_101083_2019-12-21_final
2020-01-17 11:27:31	ga_ls7e_ard_3-1-0_114081_2020-01-17_final
2020-01-22 10:06:31	ga_ls7e_ard_3-1-0_101080_2020-01-22_final
2020-02-04 11:11:51	ga_ls7e_ard_3-1-0_112075_2020-02-04_final
2020-02-17 10:42:41	ga_ls7e_ard_3-1-0_107081_2020-02-17_final
2020-02-20 11:12:14	ga_ls7e_ard_3-1-0_112078_2020-02-20_final
2020-02-21 10:14:57	ga_ls7e_ard_3-1-0_103074_2020-02-21_final
2020-02-25 09:50:49	ga_ls7e_ard_3-1-0_099076_2020-02-25_final
2020-03-14 09:39:05	ga_ls7e_ard_3-1-0_097080_2020-03-14_final
2020-03-15 10:19:54	ga_ls7e_ard_3-1-0_104074_2020-03-15_final
2020-03-26 09:59:33	ga_ls7e_ard_3-1-0_101071_2020-03-26_final
2020-04-03 10:49:20	ga_ls7e_ard_3-1-0_109073_2020-04-03_final
2020-04-05 10:41:15	ga_ls7e_ard_3-1-0_107084_2020-04-05_final
2020-04-08 11:07:59	ga_ls7e_ard_3-1-0_112074_2020-04-08_final
2020-04-08 11:11:11	ga_ls7e_ard_3-1-0_112082_2020-04-08_final
2020-04-10 10:56:43	ga_ls7e_ard_3-1-0_110077_2020-04-10_final
2020-04-15 09:37:17	ga_ls7e_ard_3-1-0_097080_2020-04-15_final
2020-04-15 09:38:04	ga_ls7e_ard_3-1-0_097082_2020-04-15_final
2020-04-17 11:00:05	ga_ls7e_ard_3-1-0_111071_2020-04-17_final
2020-04-21 10:37:56	ga_ls7e_ard_3-1-0_107078_2020-04-21_final
2020-04-23 08:47:46	ga_ls7e_ard_3-1-0_089081_2020-04-22_final
2022-03-19 09:34:35	ga_ls7e_ard_3-2-1_106073_2022-03-19_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-04-03 08:49:30	ga_ls7e_ard_3-2-1_099072_2022-04-02_final
2022-04-03 08:51:05	ga_ls7e_ard_3-2-1_099076_2022-04-02_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