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
2000-04-04 10:20:20	ga_ls7e_ard_3-1-0_101083_2000-04-04_final
2001-04-22 09:35:06	ga_ls7e_ard_3-0-0_094084_2001-04-22_final
2002-11-03 11:06:57	ga_ls7e_ard_3-1-0_110072_2002-11-03_final
2003-07-17 09:32:22	ga_ls7e_ard_3-0-0_094081_2003-07-17_final
2003-07-18 10:13:14	ga_ls7e_ard_3-1-0_101075_2003-07-18_final
2003-10-18 09:01:08	ga_ls7e_ard_3-1-0_089081_2003-10-17_final
2005-02-28 09:30:18	ga_ls7e_ard_3-0-0_094073_2005-02-28_final
2005-03-25 11:06:12	ga_ls7e_ard_3-1-0_109081_2005-03-25_final
2005-09-22 11:25:20	ga_ls7e_ard_3-1-0_112084_2005-09-22_final
2005-12-20 09:36:25	ga_ls7e_ard_3-1-0_095073_2005-12-20_final
2006-01-09 09:17:06	ga_ls7e_ard_3-1-0_091086_2006-01-08_final
2006-08-01 09:36:29	ga_ls7e_ard_3-1-0_095073_2006-08-01_final
2006-08-07 09:05:48	ga_ls7e_ard_3-1-0_089089_2006-08-06_final
2006-11-21 11:19:16	ga_ls7e_ard_3-1-0_111082_2006-11-21_final
2007-01-10 11:06:44	ga_ls7e_ard_3-1-0_109081_2007-01-10_final
2007-02-21 10:01:35	ga_ls7e_ard_3-1-0_099072_2007-02-21_final
2007-04-26 10:00:24	ga_ls7e_ard_3-1-0_099069_2007-04-26_final
2007-05-12 11:42:24	ga_ls7e_ard_3-1-0_115077_2007-05-12_final
2008-08-28 09:01:59	ga_ls7e_ard_3-1-0_089081_2008-08-27_final
2010-05-01 09:32:48	ga_ls7e_ard_3-0-0_094073_2010-05-01_final
2011-05-05 10:18:18	ga_ls7e_ard_3-1-0_101075_2011-05-05_final
2011-08-01 11:09:59	ga_ls7e_ard_3-1-0_109081_2011-08-01_final
2011-12-11 09:06:41	ga_ls7e_ard_3-1-0_089081_2011-12-10_final
2012-03-30 09:21:23	ga_ls7e_ard_3-1-0_091086_2012-03-29_final
2012-07-13 10:50:20	ga_ls7e_ard_3-1-0_106075_2012-07-13_final
2012-08-17 09:41:57	ga_ls7e_ard_3-1-0_095073_2012-08-17_final
2013-02-06 10:51:48	ga_ls7e_ard_3-1-0_106075_2013-02-06_final
2014-06-13 09:40:25	ga_ls7e_ard_3-0-0_094079_2014-06-13_final
2014-06-15 09:30:03	ga_ls7e_ard_3-1-0_092084_2014-06-15_final
2014-09-21 10:53:18	ga_ls7e_ard_3-1-0_106075_2014-09-21_final
2015-02-06 09:56:52	ga_ls7e_ard_3-1-0_096086_2015-02-06_final
2015-02-24 09:39:26	ga_ls7e_ard_3-0-0_094073_2015-02-24_final
2015-06-09 09:39:37	ga_ls7e_ard_3-1-0_093087_2015-06-09_final
2015-12-22 09:14:11	ga_ls7e_ard_3-1-0_089081_2015-12-21_final
2016-10-01 11:19:16	ga_ls7e_ard_3-1-0_109081_2016-10-01_final
2017-08-24 11:21:43	ga_ls7e_ard_3-1-0_110072_2017-08-24_final
2018-02-24 10:31:29	ga_ls7e_ard_3-1-0_102073_2018-02-24_final
2018-04-21 11:19:45	ga_ls7e_ard_3-1-0_110072_2018-04-21_final
2018-11-16 10:21:10	ga_ls7e_ard_3-1-0_101075_2018-11-16_final
2018-12-17 09:33:54	ga_ls7e_ard_3-1-0_094067_2018-12-17_final
2019-03-05 11:28:20	ga_ls7e_ard_3-1-0_112081_2019-03-05_final
2019-03-17 10:10:11	ga_ls7e_ard_3-1-0_100072_2019-03-17_final
2019-03-27 10:47:20	ga_ls7e_ard_3-1-0_106073_2019-03-27_final
2019-09-10 09:12:59	ga_ls7e_ard_3-1-0_091085_2019-09-09_final
2019-09-26 09:10:16	ga_ls7e_ard_3-1-0_091080_2019-09-25_final
2019-10-17 11:03:38	ga_ls7e_ard_3-1-0_110072_2019-10-17_final
2019-10-18 10:07:34	ga_ls7e_ard_3-1-0_101071_2019-10-18_final
2019-10-21 09:06:15	ga_ls7e_ard_3-1-0_090088_2019-10-20_final
2019-11-06 10:37:38	ga_ls7e_ard_3-1-0_106071_2019-11-06_final
2019-11-10 10:11:32	ga_ls7e_ard_3-1-0_102068_2019-11-10_final
2019-11-14 11:30:42	ga_ls7e_ard_3-1-0_114081_2019-11-14_final
2019-11-30 11:29:32	ga_ls7e_ard_3-1-0_114080_2019-11-30_final
2019-12-11 09:28:47	ga_ls7e_ard_3-1-0_095073_2019-12-10_final
2019-12-12 10:12:23	ga_ls7e_ard_3-1-0_102074_2019-12-12_final
2019-12-16 09:46:40	ga_ls7e_ard_3-1-0_098072_2019-12-16_final
2019-12-25 09:40:26	ga_ls7e_ard_3-1-0_097073_2019-12-25_final
2020-01-02 10:28:15	ga_ls7e_ard_3-1-0_105070_2020-01-02_final
2020-01-20 10:14:36	ga_ls7e_ard_3-1-0_103069_2020-01-20_final
2020-02-08 09:12:26	ga_ls7e_ard_3-1-0_092086_2020-02-07_final
2020-02-17 10:42:17	ga_ls7e_ard_3-1-0_107080_2020-02-17_final
2020-03-04 10:37:50	ga_ls7e_ard_3-1-0_107071_2020-03-04_final
2020-03-04 10:39:26	ga_ls7e_ard_3-1-0_107075_2020-03-04_final
2020-03-04 10:42:14	ga_ls7e_ard_3-1-0_107082_2020-03-04_final
2020-03-05 11:19:27	ga_ls7e_ard_3-1-0_114067_2020-03-05_final
2020-03-07 11:09:46	ga_ls7e_ard_3-1-0_112074_2020-03-07_final
2020-03-17 10:07:02	ga_ls7e_ard_3-1-0_102073_2020-03-17_final
2020-03-28 09:51:28	ga_ls7e_ard_3-1-0_099082_2020-03-28_final
2020-04-14 08:56:28	ga_ls7e_ard_3-1-0_090086_2020-04-13_final
2020-04-21 09:03:26	ga_ls7e_ard_3-1-0_091089_2020-04-20_final
2020-04-27 10:02:29	ga_ls7e_ard_3-1-0_101083_2020-04-27_final
2020-05-16 10:27:50	ga_ls7e_ard_3-1-0_106072_2020-05-16_final
2020-06-28 10:05:09	ga_ls7e_ard_3-1-0_103068_2020-06-28_final
2020-07-07 10:00:50	ga_ls7e_ard_3-1-0_102074_2020-07-07_final
2021-04-02 09:10:46	ga_ls7e_ard_3-2-0_097073_2021-04-01_final
2021-06-11 10:07:54	ga_ls7e_ard_3-2-0_107076_2021-06-11_final
2021-06-18 08:39:49	ga_ls7e_ard_3-2-0_092089_2021-06-17_final
2021-06-20 08:24:06	ga_ls7e_ard_3-2-0_090081_2021-06-19_final
2021-06-28 10:51:21	ga_ls7e_ard_3-2-0_114080_2021-06-28_final
2021-07-04 10:09:47	ga_ls7e_ard_3-2-0_108070_2021-07-04_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-14 09:07:08	ga_ls7e_ard_3-2-0_098070_2021-07-13_final
2021-07-21 10:53:11	ga_ls7e_ard_3-2-0_115074_2021-07-21_final
2021-07-22 08:19:48	ga_ls7e_ard_3-2-0_090077_2021-07-21_final
2021-07-22 09:55:29	ga_ls7e_ard_3-2-0_106069_2021-07-22_final
2021-07-22 09:57:29	ga_ls7e_ard_3-2-0_106074_2021-07-22_final
2021-07-29 10:03:03	ga_ls7e_ard_3-2-0_107074_2021-07-29_final
2021-09-07 09:09:18	ga_ls7e_ard_3-2-0_099072_2021-09-06_final
2021-09-24 09:50:15	ga_ls7e_ard_3-2-0_106070_2021-09-24_final
2021-10-09 09:06:28	ga_ls7e_ard_3-2-0_099072_2021-10-08_final
2021-10-18 08:58:17	ga_ls7e_ard_3-2-0_098069_2021-10-17_final
2021-10-19 09:42:15	ga_ls7e_ard_3-2-0_105071_2021-10-19_final
2021-10-22 10:13:17	ga_ls7e_ard_3-2-0_110072_2021-10-22_final
2021-11-15 09:21:59	ga_ls7e_ard_3-2-1_102073_2021-11-14_final
2021-12-03 09:11:06	ga_ls7e_ard_3-2-1_100081_2021-12-02_final
2021-12-13 08:08:21	ga_ls7e_ard_3-2-1_090081_2021-12-12_final
2022-01-11 09:12:17	ga_ls7e_ard_3-2-1_101078_2022-01-10_final
2022-01-21 09:46:49	ga_ls7e_ard_3-2-1_107074_2022-01-21_final
2022-01-22 10:32:22	ga_ls7e_ard_3-2-1_114080_2022-01-22_final
2022-02-22 09:42:02	ga_ls7e_ard_3-2-1_107070_2022-02-22_final
2022-03-18 10:31:29	ga_ls7e_ard_3-2-1_115076_2022-03-18_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