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
1999-07-22 09:37:48	ga_ls7e_ard_3-0-0_094084_1999-07-22_final
2000-11-17 10:45:55	ga_ls7e_ard_3-1-0_106075_2000-11-17_final
2000-12-08 09:30:22	ga_ls7e_ard_3-1-0_093087_2000-12-08_final
2001-10-19 10:43:52	ga_ls7e_ard_3-1-0_106075_2001-10-19_final
2002-04-18 11:02:53	ga_ls7e_ard_3-1-0_109075_2002-04-18_final
2002-07-30 09:31:39	ga_ls7e_ard_3-0-0_094080_2002-07-30_final
2002-08-24 09:28:05	ga_ls7e_ard_3-0-0_093087_2002-08-23_final
2003-11-06 09:29:50	ga_ls7e_ard_3-1-0_094075_2003-11-05_final
2004-05-02 10:57:07	ga_ls7e_ard_3-1-0_108075_2004-05-02_final
2004-05-11 09:16:28	ga_ls7e_ard_3-1-0_091086_2004-05-10_final
2004-12-19 09:29:16	ga_ls7e_ard_3-1-0_093087_2004-12-18_final
2004-12-26 09:34:19	ga_ls7e_ard_3-0-0_094084_2004-12-26_final
2005-08-09 10:57:18	ga_ls7e_ard_3-1-0_108075_2005-08-09_final
2006-06-05 09:48:13	ga_ls7e_ard_3-1-0_096086_2006-06-05_final
2007-08-29 09:30:34	ga_ls7e_ard_3-0-0_094073_2007-08-29_final
2008-10-31 10:40:20	ga_ls7e_ard_3-1-0_105080_2008-10-31_final
2008-12-03 09:47:32	ga_ls7e_ard_3-1-0_096086_2008-12-03_final
2009-05-18 10:46:01	ga_ls7e_ard_3-1-0_106075_2009-05-18_final
2010-03-30 09:33:13	ga_ls7e_ard_3-0-0_094074_2010-03-30_final
2010-09-13 09:39:05	ga_ls7e_ard_3-1-0_095073_2010-09-13_final
2011-08-06 09:51:36	ga_ls7e_ard_3-1-0_096086_2011-08-06_final
2012-02-09 09:34:08	ga_ls7e_ard_3-1-0_093087_2012-02-09_final
2012-06-30 09:41:21	ga_ls7e_ard_3-1-0_095073_2012-06-30_final
2012-10-13 11:14:48	ga_ls7e_ard_3-1-0_110072_2012-10-13_final
2012-11-30 09:40:36	ga_ls7e_ard_3-0-0_094083_2012-11-30_final
2013-02-15 09:09:07	ga_ls7e_ard_3-1-0_089081_2013-02-14_final
2013-05-13 10:51:27	ga_ls7e_ard_3-1-0_106075_2013-05-13_final
2013-06-26 09:33:49	ga_ls7e_ard_3-1-0_094067_2013-06-26_final
2013-12-23 10:51:57	ga_ls7e_ard_3-1-0_106075_2013-12-23_final
2014-05-28 09:35:36	ga_ls7e_ard_3-1-0_094067_2014-05-28_final
2014-07-08 09:37:33	ga_ls7e_ard_3-1-0_093087_2014-07-08_final
2014-08-16 09:43:51	ga_ls7e_ard_3-0-0_094087_2014-08-16_final
2015-06-25 09:39:38	ga_ls7e_ard_3-1-0_093087_2015-06-25_final
2015-08-23 09:21:44	ga_ls7e_ard_3-1-0_090088_2015-08-22_final
2016-02-24 09:14:47	ga_ls7e_ard_3-1-0_089081_2016-02-23_final
2016-07-24 10:58:11	ga_ls7e_ard_3-1-0_106075_2016-07-24_final
2017-01-30 11:09:57	ga_ls7e_ard_3-1-0_108075_2017-01-30_final
2017-02-15 11:09:54	ga_ls7e_ard_3-1-0_108075_2017-02-15_final
2017-05-08 10:58:03	ga_ls7e_ard_3-1-0_106075_2017-05-08_final
2017-08-12 10:58:11	ga_ls7e_ard_3-1-0_106075_2017-08-12_final
2017-12-02 10:58:04	ga_ls7e_ard_3-1-0_106075_2017-12-02_final
2018-04-14 09:35:36	ga_ls7e_ard_3-0-0_093074_2018-04-14_final
2018-07-26 09:37:10	ga_ls7e_ard_3-1-0_094067_2018-07-26_final
2018-08-13 11:06:33	ga_ls7e_ard_3-1-0_108075_2018-08-13_final
2018-09-12 09:38:37	ga_ls7e_ard_3-0-0_094073_2018-09-12_final
2018-10-18 10:52:42	ga_ls7e_ard_3-1-0_106075_2018-10-18_final
2019-03-06 10:29:05	ga_ls7e_ard_3-1-0_103072_2019-03-06_final
2019-03-19 10:02:09	ga_ls7e_ard_3-1-0_098083_2019-03-19_final
2019-03-23 11:11:00	ga_ls7e_ard_3-1-0_110070_2019-03-23_final
2019-03-26 10:01:43	ga_ls7e_ard_3-1-0_099067_2019-03-26_final
2019-11-05 09:57:13	ga_ls7e_ard_3-1-0_099078_2019-11-05_final
2019-11-11 10:58:44	ga_ls7e_ard_3-1-0_109078_2019-11-11_final
2019-11-22 09:00:24	ga_ls7e_ard_3-1-0_090077_2019-11-21_final
2019-12-04 09:28:08	ga_ls7e_ard_3-1-0_094086_2019-12-03_final
2019-12-12 10:15:11	ga_ls7e_ard_3-1-0_102081_2019-12-12_final
2019-12-17 08:53:48	ga_ls7e_ard_3-1-0_089079_2019-12-16_final
2019-12-20 10:59:50	ga_ls7e_ard_3-1-0_110070_2019-12-20_final
2019-12-25 11:16:55	ga_ls7e_ard_3-1-0_113067_2019-12-25_final
2019-12-31 09:07:49	ga_ls7e_ard_3-1-0_091085_2019-12-30_final
2020-02-15 10:51:09	ga_ls7e_ard_3-1-0_109071_2020-02-15_final
2020-03-19 09:58:57	ga_ls7e_ard_3-1-0_100084_2020-03-19_final
2020-03-25 09:17:33	ga_ls7e_ard_3-1-0_094074_2020-03-24_final
2020-04-01 09:28:07	ga_ls7e_ard_3-1-0_095086_2020-03-31_final
2020-04-05 09:04:46	ga_ls7e_ard_3-1-0_091090_2020-04-04_final
2020-04-09 10:13:30	ga_ls7e_ard_3-1-0_103077_2020-04-09_final
2020-05-07 09:00:53	ga_ls7e_ard_3-1-0_091085_2020-05-06_final
2020-06-24 10:32:54	ga_ls7e_ard_3-1-0_107075_2020-06-24_final
2020-07-22 10:53:08	ga_ls7e_ard_3-1-0_111068_2020-07-22_final
2020-07-27 09:38:52	ga_ls7e_ard_3-1-0_098084_2020-07-27_final
2020-08-04 10:27:01	ga_ls7e_ard_3-1-0_106082_2020-08-04_final
2021-03-25 10:01:16	ga_ls7e_ard_3-2-0_105074_2021-03-25_final
2021-03-29 09:35:01	ga_ls7e_ard_3-2-0_101071_2021-03-29_final
2021-05-07 09:36:45	ga_ls7e_ard_3-2-0_102068_2021-05-07_final
2021-06-04 09:59:05	ga_ls7e_ard_3-2-0_106068_2021-06-04_final
2021-06-20 08:27:41	ga_ls7e_ard_3-2-0_090090_2021-06-19_final
2021-07-31 08:13:38	ga_ls7e_ard_3-2-0_089079_2021-07-30_final
2021-08-22 09:09:30	ga_ls7e_ard_3-2-0_099069_2021-08-21_final
2021-08-30 08:24:57	ga_ls7e_ard_3-2-0_091083_2021-08-29_final
2021-08-30 10:03:50	ga_ls7e_ard_3-2-0_107083_2021-08-30_final
2021-09-04 10:19:09	ga_ls7e_ard_3-2-0_110076_2021-09-04_final
2021-09-17 09:49:29	ga_ls7e_ard_3-2-0_105082_2021-09-17_final
2021-11-03 10:34:54	ga_ls7e_ard_3-2-0_114067_2021-11-03_final
2021-11-04 09:39:35	ga_ls7e_ard_3-2-0_105068_2021-11-04_final
2021-12-06 09:38:55	ga_ls7e_ard_3-2-1_105074_2021-12-06_final
2021-12-12 09:00:04	ga_ls7e_ard_3-2-1_099071_2021-12-11_final
2021-12-17 09:17:44	ga_ls7e_ard_3-2-1_102070_2021-12-16_final
2022-01-10 10:05:36	ga_ls7e_ard_3-2-1_110072_2022-01-10_final
2022-01-13 09:02:08	ga_ls7e_ard_3-2-1_099084_2022-01-12_final
2022-01-23 07:58:11	ga_ls7e_ard_3-2-1_089081_2022-01-22_final
2022-02-05 09:01:16	ga_ls7e_ard_3-2-1_100072_2022-02-04_final
2022-02-12 09:09:07	ga_ls7e_ard_3-2-1_101078_2022-02-11_final
2022-02-13 09:54:16	ga_ls7e_ard_3-2-1_108083_2022-02-13_final
2022-02-15 08:04:01	ga_ls7e_ard_3-2-1_090086_2022-02-14_final
2022-02-17 09:23:34	ga_ls7e_ard_3-2-1_104069_2022-02-16_final
2022-02-18 08:29:27	ga_ls7e_ard_3-2-1_095073_2022-02-17_final
2022-02-26 09:16:32	ga_ls7e_ard_3-2-1_103069_2022-02-25_final
2022-02-28 09:04:46	ga_ls7e_ard_3-2-1_101071_2022-02-27_final
2022-03-02 08:52:37	ga_ls7e_ard_3-2-1_099072_2022-03-01_final
2022-04-03 08:51:53	ga_ls7e_ard_3-2-1_099078_2022-04-02_final
2022-04-04 08:00:58	ga_ls7e_ard_3-2-1_090090_2022-04-03_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