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
1999-10-24 11:28:43	ga_ls7e_ard_3-0-0_112083_1999-10-24_final
2000-04-22 11:44:18	ga_ls7e_ard_3-1-0_115077_2000-04-22_final
2000-05-12 11:18:36	ga_ls7e_ard_3-0-0_111075_2000-05-12_final
2000-05-24 11:43:58	ga_ls7e_ard_3-1-0_115077_2000-05-24_final
2000-07-11 11:43:54	ga_ls7e_ard_3-0-0_115078_2000-07-11_final
2000-11-02 11:28:49	ga_ls7e_ard_3-1-0_113074_2000-11-02_final
2001-06-16 11:18:51	ga_ls7e_ard_3-1-0_111082_2001-06-16_final
2001-09-16 11:40:30	ga_ls7e_ard_3-0-0_115077_2001-09-16_final
2001-12-30 11:30:27	ga_ls7e_ard_3-0-0_114067_2001-12-30_final
2002-04-23 11:21:02	ga_ls7e_ard_3-0-0_112074_2002-04-23_final
2002-05-02 11:15:20	ga_ls7e_ard_3-0-0_111075_2002-05-02_final
2002-09-03 11:40:00	ga_ls7e_ard_3-1-0_115077_2002-09-03_final
2002-09-23 11:15:27	ga_ls7e_ard_3-0-0_111078_2002-09-23_final
2002-11-06 11:39:53	ga_ls7e_ard_3-1-0_115077_2002-11-06_final
2002-12-26 11:26:47	ga_ls7e_ard_3-0-0_113074_2002-12-26_final
2003-02-12 11:28:43	ga_ls7e_ard_3-0-0_113078_2003-02-12_final
2004-03-09 11:31:03	ga_ls7e_ard_3-0-0_114067_2004-03-09_final
2004-07-08 11:30:38	ga_ls7e_ard_3-0-0_113082_2004-07-08_final
2004-10-19 11:33:18	ga_ls7e_ard_3-0-0_114074_2004-10-19_final
2005-12-11 11:24:16	ga_ls7e_ard_3-0-0_112080_2005-12-11_final
2006-08-01 11:16:58	ga_ls7e_ard_3-0-0_111077_2006-08-01_final
2006-09-18 11:18:24	ga_ls7e_ard_3-0-0_111081_2006-09-18_final
2007-04-05 11:25:35	ga_ls7e_ard_3-0-0_112081_2007-04-05_final
2007-10-21 11:25:31	ga_ls7e_ard_3-0-0_113067_2007-10-21_final
2008-07-01 11:41:34	ga_ls7e_ard_3-0-0_115077_2008-07-01_final
2008-10-30 11:30:45	ga_ls7e_ard_3-0-0_114067_2008-10-30_final
2009-07-20 11:42:18	ga_ls7e_ard_3-1-0_115077_2009-07-20_final
2010-08-10 11:27:51	ga_ls7e_ard_3-0-0_113067_2010-08-10_final
2012-01-18 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-18_final
2012-09-25 11:31:24	ga_ls7e_ard_3-0-0_112083_2012-09-25_final
2012-11-05 11:23:55	ga_ls7e_ard_3-0-0_111079_2012-11-05_final
2013-03-27 11:31:41	ga_ls7e_ard_3-0-0_113067_2013-03-27_final
2013-04-28 11:31:34	ga_ls7e_ard_3-0-0_113067_2013-04-28_final
2013-07-26 11:31:09	ga_ls7e_ard_3-0-0_112083_2013-07-26_final
2013-08-25 11:37:14	ga_ls7e_ard_3-0-0_114067_2013-08-25_final
2013-11-08 11:21:50	ga_ls7e_ard_3-0-0_111073_2013-11-08_final
2013-12-24 11:38:01	ga_ls7e_ard_3-0-0_113082_2013-12-24_final
2014-05-08 11:39:04	ga_ls7e_ard_3-0-0_114067_2014-05-08_final
2014-08-21 11:38:52	ga_ls7e_ard_3-0-0_113081_2014-08-21_final
2015-01-14 11:28:39	ga_ls7e_ard_3-0-0_111084_2015-01-14_final
2015-01-26 11:51:01	ga_ls7e_ard_3-0-0_115078_2015-01-26_final
2015-04-25 11:41:06	ga_ls7e_ard_3-0-0_114067_2015-04-25_final
2015-06-21 11:41:15	ga_ls7e_ard_3-0-0_113082_2015-06-21_final
2015-06-30 11:31:55	ga_ls7e_ard_3-0-0_112074_2015-06-30_final
2015-08-08 11:35:28	ga_ls7e_ard_3-0-0_113067_2015-08-08_final
2016-04-27 11:48:34	ga_ls7e_ard_3-0-0_114078_2016-04-27_final
2016-10-06 11:35:01	ga_ls7e_ard_3-0-0_112074_2016-10-06_final
2017-10-14 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-14_final
2017-12-03 11:44:07	ga_ls7e_ard_3-0-0_113082_2017-12-03_final
2018-01-06 11:27:47	ga_ls7e_ard_3-0-0_111073_2018-01-06_final
2018-02-28 11:48:48	ga_ls7e_ard_3-0-0_114081_2018-02-28_final
2018-06-13 11:35:24	ga_ls7e_ard_3-0-0_113067_2018-06-13_final
2019-06-07 11:31:44	ga_ls7e_ard_3-0-0_114067_2019-06-07_final
2019-06-25 11:25:06	ga_ls7e_ard_3-0-0_112083_2019-06-25_final
2019-08-10 11:29:16	ga_ls7e_ard_3-0-0_114067_2019-08-10_final
2020-04-06 11:20:52	ga_ls7e_ard_3-1-0_114075_2020-04-06_final
2020-11-22 08:54:04	ga_ls7e_ard_3-1-0_092084_2020-11-21_final
2020-11-22 10:28:33	ga_ls7e_ard_3-1-0_108073_2020-11-22_final
2020-12-10 08:37:59	ga_ls7e_ard_3-1-0_090078_2020-12-09_final
2020-12-20 09:15:54	ga_ls7e_ard_3-1-0_096082_2020-12-19_final
2020-12-26 08:39:59	ga_ls7e_ard_3-1-0_090086_2020-12-25_final
2020-12-30 09:52:17	ga_ls7e_ard_3-1-0_102082_2020-12-30_final
2021-01-12 10:59:45	ga_ls7e_ard_3-1-0_113083_2021-01-12_final
2021-02-11 09:30:15	ga_ls7e_ard_3-2-0_099081_2021-02-11_final
2021-02-15 10:44:55	ga_ls7e_ard_3-2-0_111083_2021-02-15_final
2021-04-02 09:13:58	ga_ls7e_ard_3-2-0_097081_2021-04-01_final
2021-04-10 10:02:45	ga_ls7e_ard_3-2-0_105081_2021-04-10_final
2021-04-15 08:43:35	ga_ls7e_ard_3-2-0_092085_2021-04-14_final
2021-04-24 08:38:14	ga_ls7e_ard_3-2-0_091089_2021-04-23_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-03 08:27:19	ga_ls7e_ard_3-2-0_090079_2021-05-02_final
2021-05-22 10:30:42	ga_ls7e_ard_3-2-0_111067_2021-05-22_final
2021-05-30 09:46:09	ga_ls7e_ard_3-2-0_103081_2021-05-30_final
2021-06-03 09:15:31	ga_ls7e_ard_3-2-0_099067_2021-06-02_final
2021-06-09 08:45:08	ga_ls7e_ard_3-2-0_093085_2021-06-08_final
2021-06-10 09:27:07	ga_ls7e_ard_3-2-0_100082_2021-06-09_final
2021-06-14 08:58:29	ga_ls7e_ard_3-2-0_096073_2021-06-13_final
2021-06-14 08:58:53	ga_ls7e_ard_3-2-0_096074_2021-06-13_final
2021-06-20 10:03:46	ga_ls7e_ard_3-2-0_106083_2021-06-20_final
2021-07-13 10:06:50	ga_ls7e_ard_3-2-0_107080_2021-07-13_final
2021-09-27 10:22:29	ga_ls7e_ard_3-2-0_111074_2021-09-27_final
2021-10-01 08:24:07	ga_ls7e_ard_3-2-0_091088_2021-09-30_final
2021-10-10 09:53:14	ga_ls7e_ard_3-2-0_106081_2021-10-10_final
2021-10-18 08:57:30	ga_ls7e_ard_3-2-0_098067_2021-10-17_final
2021-10-20 10:29:01	ga_ls7e_ard_3-2-0_112080_2021-10-20_final
2021-11-18 09:53:23	ga_ls7e_ard_3-2-1_107075_2021-11-18_final
2021-12-13 08:10:21	ga_ls7e_ard_3-2-1_090086_2021-12-12_final
2021-12-17 09:18:32	ga_ls7e_ard_3-2-1_102072_2021-12-16_final
2021-12-29 08:07:10	ga_ls7e_ard_3-2-1_090082_2021-12-28_final
2022-01-23 09:31:52	ga_ls7e_ard_3-2-1_105068_2022-01-23_final
2022-01-28 08:18:37	ga_ls7e_ard_3-2-1_092087_2022-01-27_final
2022-02-02 08:31:05	ga_ls7e_ard_3-2-1_095073_2022-02-01_final
2022-02-05 09:01:16	ga_ls7e_ard_3-2-1_100072_2022-02-04_final
2022-02-07 08:51:30	ga_ls7e_ard_3-2-1_098079_2022-02-06_final
2022-02-08 09:32:16	ga_ls7e_ard_3-2-1_105073_2022-02-08_final
2022-02-14 08:58:33	ga_ls7e_ard_3-2-1_099083_2022-02-13_final
2022-02-20 09:54:35	ga_ls7e_ard_3-2-1_109070_2022-02-20_final
2022-02-20 09:54:59	ga_ls7e_ard_3-2-1_109071_2022-02-20_final
2022-03-15 10:00:30	ga_ls7e_ard_3-2-1_110075_2022-03-15_final
2022-03-22 10:03:12	ga_ls7e_ard_3-2-1_111068_2022-03-22_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