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
2000-04-24 11:34:21	ga_ls7e_ard_3-0-0_113083_2000-04-24_final
2000-10-24 11:34:53	ga_ls7e_ard_3-0-0_114074_2000-10-24_final
2002-03-27 11:39:37	ga_ls7e_ard_3-0-0_115074_2002-03-27_final
2003-11-09 11:39:41	ga_ls7e_ard_3-0-0_115075_2003-11-09_final
2004-09-17 11:34:51	ga_ls7e_ard_3-0-0_114078_2004-09-17_final
2004-10-19 11:33:42	ga_ls7e_ard_3-0-0_114075_2004-10-19_final
2004-10-28 11:30:27	ga_ls7e_ard_3-0-0_113082_2004-10-28_final
2005-11-14 11:40:17	ga_ls7e_ard_3-0-0_115074_2005-11-14_final
2006-01-10 11:36:51	ga_ls7e_ard_3-0-0_114080_2006-01-10_final
2006-05-09 11:40:52	ga_ls7e_ard_3-0-0_115074_2006-05-09_final
2007-06-29 11:41:27	ga_ls7e_ard_3-0-0_115075_2007-06-29_final
2007-07-08 11:34:51	ga_ls7e_ard_3-0-0_114074_2007-07-08_final
2007-11-20 11:41:46	ga_ls7e_ard_3-0-0_115076_2007-11-20_final
2008-02-01 11:36:33	ga_ls7e_ard_3-0-0_114078_2008-02-01_final
2008-02-17 11:36:53	ga_ls7e_ard_3-0-0_114079_2008-02-17_final
2008-04-21 11:36:20	ga_ls7e_ard_3-0-0_114078_2008-04-21_final
2008-07-17 11:40:11	ga_ls7e_ard_3-0-0_115074_2008-07-17_final
2008-07-19 11:30:59	ga_ls7e_ard_3-0-0_113082_2008-07-19_final
2008-09-12 11:35:10	ga_ls7e_ard_3-0-0_114078_2008-09-12_final
2010-01-28 11:43:42	ga_ls7e_ard_3-1-0_115077_2010-01-28_final
2010-05-20 11:43:18	ga_ls7e_ard_3-0-0_115075_2010-05-20_final
2010-10-04 11:38:28	ga_ls7e_ard_3-0-0_114078_2010-10-04_final
2010-10-20 11:39:27	ga_ls7e_ard_3-0-0_114080_2010-10-20_final
2011-06-01 11:39:26	ga_ls7e_ard_3-0-0_114077_2011-06-01_final
2011-10-16 11:35:43	ga_ls7e_ard_3-0-0_113084_2011-10-16_final
2012-06-26 11:45:18	ga_ls7e_ard_3-0-0_115074_2012-06-26_final
2012-11-19 11:37:37	ga_ls7e_ard_3-0-0_113082_2012-11-19_final
2013-01-22 11:38:13	ga_ls7e_ard_3-0-0_113083_2013-01-22_final
2014-02-08 11:49:17	ga_ls7e_ard_3-0-0_115078_2014-02-08_final
2014-03-28 11:48:57	ga_ls7e_ard_3-1-0_115077_2014-03-28_final
2014-08-05 11:39:41	ga_ls7e_ard_3-0-0_113083_2014-08-05_final
2014-12-18 11:44:44	ga_ls7e_ard_3-0-0_114078_2014-12-18_final
2015-04-09 11:45:00	ga_ls7e_ard_3-0-0_114077_2015-04-09_final
2016-01-22 11:47:08	ga_ls7e_ard_3-0-0_114076_2016-01-22_final
2016-03-17 11:52:55	ga_ls7e_ard_3-0-0_115074_2016-03-17_final
2016-07-07 11:53:22	ga_ls7e_ard_3-0-0_115074_2016-07-07_final
2016-07-07 11:54:34	ga_ls7e_ard_3-1-0_115077_2016-07-07_final
2017-06-17 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-06-17_final
2017-09-12 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-12_final
2017-11-17 11:44:37	ga_ls7e_ard_3-0-0_113083_2017-11-17_final
2017-11-24 11:49:10	ga_ls7e_ard_3-0-0_114079_2017-11-24_final
2018-01-27 11:46:24	ga_ls7e_ard_3-0-0_114074_2018-01-27_final
2018-05-26 11:51:16	ga_ls7e_ard_3-0-0_115075_2018-05-26_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2018-09-24 11:42:44	ga_ls7e_ard_3-0-0_114075_2018-09-24_final
2019-01-21 11:46:12	ga_ls7e_ard_3-0-0_115076_2019-01-21_final
2019-02-06 11:46:54	ga_ls7e_ard_3-0-0_115079_2019-02-06_final
2019-03-19 11:39:50	ga_ls7e_ard_3-1-0_114080_2019-03-19_final
2019-10-13 11:26:32	ga_ls7e_ard_3-1-0_114067_2019-10-13_final
2019-10-13 11:29:19	ga_ls7e_ard_3-1-0_114074_2019-10-13_final
2019-12-09 11:24:07	ga_ls7e_ard_3-1-0_113083_2019-12-09_final
2020-05-08 11:18:34	ga_ls7e_ard_3-1-0_114074_2020-05-08_final
2020-10-15 11:05:49	ga_ls7e_ard_3-1-0_114067_2020-10-15_final
2020-11-25 09:19:10	ga_ls7e_ard_3-1-0_097070_2020-11-24_final
2020-12-11 11:00:03	ga_ls7e_ard_3-1-0_113078_2020-12-11_final
2020-12-25 09:34:53	ga_ls7e_ard_3-1-0_099084_2020-12-25_final
2020-12-27 11:01:16	ga_ls7e_ard_3-1-0_113084_2020-12-27_final
2020-12-29 10:45:34	ga_ls7e_ard_3-1-0_111076_2020-12-29_final
2021-01-09 08:50:59	ga_ls7e_ard_3-1-0_092085_2021-01-08_final
2021-01-12 09:18:05	ga_ls7e_ard_3-1-0_097076_2021-01-11_final
2021-01-18 10:18:15	ga_ls7e_ard_3-1-0_107073_2021-01-18_final
2021-01-21 09:14:27	ga_ls7e_ard_3-2-0_096084_2021-01-20_final
2021-02-13 10:56:37	ga_ls7e_ard_3-2-0_113081_2021-02-13_final
2021-02-19 10:16:42	ga_ls7e_ard_3-2-0_107075_2021-02-19_final
2021-03-07 08:36:59	ga_ls7e_ard_3-2-0_091076_2021-03-06_final
2021-03-23 10:12:11	ga_ls7e_ard_3-2-0_107070_2021-03-23_final
2021-03-23 10:13:47	ga_ls7e_ard_3-2-0_107074_2021-03-23_final
2021-04-05 09:40:14	ga_ls7e_ard_3-2-0_102070_2021-04-05_final
2021-04-08 08:38:23	ga_ls7e_ard_3-2-0_091086_2021-04-07_final
2021-04-10 10:02:21	ga_ls7e_ard_3-2-0_105080_2021-04-10_final
2021-04-22 08:48:22	ga_ls7e_ard_3-2-0_093083_2021-04-21_final
2021-05-04 09:10:29	ga_ls7e_ard_3-2-0_097079_2021-05-03_final
2021-05-22 08:57:24	ga_ls7e_ard_3-2-0_095081_2021-05-21_final
2021-05-22 10:30:42	ga_ls7e_ard_3-2-0_111067_2021-05-22_final
2021-05-27 10:54:00	ga_ls7e_ard_3-2-0_114080_2021-05-27_final
2021-06-05 10:48:39	ga_ls7e_ard_3-2-0_113084_2021-06-05_final
2021-06-19 09:16:12	ga_ls7e_ard_3-2-0_099072_2021-06-18_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-07-13 08:27:57	ga_ls7e_ard_3-2-0_091080_2021-07-12_final
2021-07-14 09:05:56	ga_ls7e_ard_3-2-0_098067_2021-07-13_final
2021-07-23 10:40:39	ga_ls7e_ard_3-2-0_113074_2021-07-23_final
2021-07-25 08:53:14	ga_ls7e_ard_3-2-0_095084_2021-07-24_final
2021-07-28 09:23:28	ga_ls7e_ard_3-2-0_100083_2021-07-27_final
2021-07-30 09:06:09	ga_ls7e_ard_3-2-0_098071_2021-07-29_final
2021-07-30 09:08:56	ga_ls7e_ard_3-2-0_098078_2021-07-29_final
2021-08-07 09:55:40	ga_ls7e_ard_3-2-0_106073_2021-08-07_final
2021-08-10 10:28:18	ga_ls7e_ard_3-2-0_111078_2021-08-10_final
2021-08-19 08:45:14	ga_ls7e_ard_3-2-0_094085_2021-08-18_final
2021-08-21 10:06:48	ga_ls7e_ard_3-2-0_108073_2021-08-21_final
2021-09-15 08:24:21	ga_ls7e_ard_3-2-0_091085_2021-09-14_final
2021-10-27 08:56:05	ga_ls7e_ard_3-2-0_097081_2021-10-26_final
2021-11-14 10:22:05	ga_ls7e_ard_3-2-1_111084_2021-11-14_final
2021-11-18 09:51:23	ga_ls7e_ard_3-2-1_107070_2021-11-18_final
2021-12-17 09:17:20	ga_ls7e_ard_3-2-1_102069_2021-12-16_final
2021-12-28 09:01:42	ga_ls7e_ard_3-2-1_099079_2021-12-27_final
2021-12-29 08:09:58	ga_ls7e_ard_3-2-1_090089_2021-12-28_final
2022-01-05 08:15:50	ga_ls7e_ard_3-2-1_091090_2022-01-04_final
2022-02-01 09:29:35	ga_ls7e_ard_3-2-1_104080_2022-01-31_final
2022-02-11 10:06:03	ga_ls7e_ard_3-2-1_110081_2022-02-11_final
2022-02-22 09:43:37	ga_ls7e_ard_3-2-1_107074_2022-02-22_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