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
1999-07-25 11:44:50	ga_ls7e_ard_3-1-0_115077_1999-07-25_final
1999-08-23 09:39:06	ga_ls7e_ard_3-0-0_094087_1999-08-23_final
1999-11-14 11:44:54	ga_ls7e_ard_3-1-0_115077_1999-11-14_final
2000-11-06 09:22:23	ga_ls7e_ard_3-0-0_093067_2000-11-05_final
2000-12-13 09:48:34	ga_ls7e_ard_3-1-0_096086_2000-12-13_final
2001-07-02 11:12:39	ga_ls7e_ard_3-1-0_111067_2001-07-02_final
2001-07-04 09:21:25	ga_ls7e_ard_3-0-0_093067_2001-07-03_final
2002-01-05 10:56:37	ga_ls7e_ard_3-1-0_108075_2002-01-05_final
2002-05-02 11:18:07	ga_ls7e_ard_3-1-0_111082_2002-05-02_final
2002-07-23 09:28:17	ga_ls7e_ard_3-0-0_093087_2002-07-22_final
2002-08-30 10:27:49	ga_ls7e_ard_3-1-0_103082_2002-08-30_final
2002-11-12 09:24:19	ga_ls7e_ard_3-0-0_093078_2002-11-11_final
2002-12-23 10:56:16	ga_ls7e_ard_3-1-0_108075_2002-12-23_final
2003-11-26 09:09:22	ga_ls7e_ard_3-1-0_090085_2003-11-25_final
2004-05-30 09:47:19	ga_ls7e_ard_3-1-0_096086_2004-05-30_final
2004-08-05 10:13:29	ga_ls7e_ard_3-1-0_101075_2004-08-05_final
2004-08-16 09:56:56	ga_ls7e_ard_3-1-0_098080_2004-08-16_final
2004-08-31 09:08:50	ga_ls7e_ard_3-1-0_091068_2004-08-30_final
2004-11-24 09:27:16	ga_ls7e_ard_3-1-0_094067_2004-11-23_final
2005-06-29 09:29:25	ga_ls7e_ard_3-0-0_093087_2005-06-28_final
2006-01-01 11:41:45	ga_ls7e_ard_3-1-0_115077_2006-01-01_final
2006-04-04 09:35:28	ga_ls7e_ard_3-0-0_094085_2006-04-04_final
2006-04-29 09:26:28	ga_ls7e_ard_3-0-0_093078_2006-04-28_final
2006-07-18 09:29:24	ga_ls7e_ard_3-0-0_093086_2006-07-17_final
2006-12-19 10:01:19	ga_ls7e_ard_3-1-0_099072_2006-12-19_final
2007-07-12 09:36:01	ga_ls7e_ard_3-0-0_094086_2007-07-12_final
2008-06-05 09:28:16	ga_ls7e_ard_3-0-0_093083_2008-06-04_final
2008-09-13 09:05:02	ga_ls7e_ard_3-1-0_089089_2008-09-12_final
2008-12-30 09:21:40	ga_ls7e_ard_3-0-0_093067_2008-12-29_final
2009-04-21 09:29:36	ga_ls7e_ard_3-0-0_093085_2009-04-20_final
2009-07-05 10:45:57	ga_ls7e_ard_3-1-0_106075_2009-07-05_final
2010-02-03 09:32:12	ga_ls7e_ard_3-0-0_093088_2010-02-03_final
2011-05-02 09:51:47	ga_ls7e_ard_3-1-0_096086_2011-05-02_final
2012-02-07 09:40:54	ga_ls7e_ard_3-1-0_095073_2012-02-07_final
2012-06-02 09:21:40	ga_ls7e_ard_3-1-0_091086_2012-06-01_final
2013-07-09 09:08:20	ga_ls7e_ard_3-1-0_089081_2013-07-08_final
2014-05-05 09:29:16	ga_ls7e_ard_3-0-0_093067_2014-05-04_final
2014-08-16 09:35:53	ga_ls7e_ard_3-1-0_094067_2014-08-16_final
2014-12-06 09:43:24	ga_ls7e_ard_3-0-0_094084_2014-12-06_final
2014-12-31 09:37:43	ga_ls7e_ard_3-0-0_093085_2014-12-31_final
2015-05-31 09:40:08	ga_ls7e_ard_3-0-0_094073_2015-05-31_final
2015-12-05 11:46:25	ga_ls7e_ard_3-0-0_114076_2015-12-05_final
2016-02-24 09:14:47	ga_ls7e_ard_3-1-0_089081_2016-02-23_final
2016-05-26 09:37:42	ga_ls7e_ard_3-0-0_093075_2016-05-26_final
2017-06-30 09:43:05	ga_ls7e_ard_3-0-0_093088_2017-06-30_final
2017-10-20 09:37:29	ga_ls7e_ard_3-0-0_093074_2017-10-20_final
2018-06-08 09:38:04	ga_ls7e_ard_3-1-0_094067_2018-06-08_final
2018-08-27 09:44:33	ga_ls7e_ard_3-0-0_094087_2018-08-27_final
2018-10-09 09:24:37	ga_ls7e_ard_3-1-0_091086_2018-10-08_final
2019-03-23 09:34:06	ga_ls7e_ard_3-1-0_094075_2019-03-23_final
2019-03-26 10:02:31	ga_ls7e_ard_3-1-0_099069_2019-03-26_final
2019-05-10 11:10:03	ga_ls7e_ard_3-1-0_110072_2019-05-10_final
2019-06-15 10:45:12	ga_ls7e_ard_3-1-0_106075_2019-06-15_final
2019-07-06 09:28:52	ga_ls7e_ard_3-1-0_093087_2019-07-05_final
2019-08-14 11:06:22	ga_ls7e_ard_3-1-0_110072_2019-08-14_final
2019-08-27 09:01:14	ga_ls7e_ard_3-1-0_089085_2019-08-26_final
2019-08-30 11:03:42	ga_ls7e_ard_3-1-0_110067_2019-08-30_final
2019-10-08 11:08:12	ga_ls7e_ard_3-1-0_111067_2019-10-08_final
2019-10-24 11:07:55	ga_ls7e_ard_3-1-0_111068_2019-10-24_final
2019-10-29 11:30:38	ga_ls7e_ard_3-1-0_114079_2019-10-29_final
2019-11-02 11:06:56	ga_ls7e_ard_3-1-0_110082_2019-11-02_final
2019-11-23 11:18:31	ga_ls7e_ard_3-1-0_113067_2019-11-23_final
2019-11-24 10:24:26	ga_ls7e_ard_3-1-0_104071_2019-11-24_final
2019-12-14 09:58:44	ga_ls7e_ard_3-1-0_100071_2019-12-14_final
2020-01-15 09:59:29	ga_ls7e_ard_3-1-0_100077_2020-01-15_final
2020-01-24 09:55:16	ga_ls7e_ard_3-1-0_099083_2020-01-24_final
2020-03-18 09:11:45	ga_ls7e_ard_3-1-0_093074_2020-03-17_final
2020-04-15 09:38:52	ga_ls7e_ard_3-1-0_097084_2020-04-15_final
2020-04-28 10:44:53	ga_ls7e_ard_3-1-0_108081_2020-04-28_final
2020-04-29 09:44:01	ga_ls7e_ard_3-1-0_099068_2020-04-29_final
2020-05-01 09:36:44	ga_ls7e_ard_3-1-0_097081_2020-05-01_final
2020-06-16 09:41:09	ga_ls7e_ard_3-1-0_099068_2020-06-16_final
2020-06-29 10:53:57	ga_ls7e_ard_3-1-0_110082_2020-06-29_final
2020-07-03 10:25:00	ga_ls7e_ard_3-1-0_106072_2020-07-03_final
2020-07-13 11:06:15	ga_ls7e_ard_3-1-0_112084_2020-07-13_final
2020-07-24 09:09:21	ga_ls7e_ard_3-1-0_093087_2020-07-23_final
2021-03-13 09:39:54	ga_ls7e_ard_3-2-0_101080_2021-03-13_final
2021-03-21 10:30:18	ga_ls7e_ard_3-2-0_109084_2021-03-21_final
2021-03-25 08:23:35	ga_ls7e_ard_3-2-0_089077_2021-03-24_final
2021-04-15 10:22:04	ga_ls7e_ard_3-2-0_108084_2021-04-15_final
2021-06-12 09:09:24	ga_ls7e_ard_3-2-0_098069_2021-06-11_final
2021-06-18 08:39:49	ga_ls7e_ard_3-2-0_092089_2021-06-17_final
2021-07-04 10:11:46	ga_ls7e_ard_3-2-0_108075_2021-07-04_final
2021-07-05 09:14:29	ga_ls7e_ard_3-2-0_099071_2021-07-04_final
2021-07-16 10:39:04	ga_ls7e_ard_3-2-0_112084_2021-07-16_final
2021-07-21 09:17:30	ga_ls7e_ard_3-2-0_099082_2021-07-20_final
2021-07-25 10:27:43	ga_ls7e_ard_3-2-0_111073_2021-07-25_final
2021-08-03 08:46:39	ga_ls7e_ard_3-2-0_094085_2021-08-02_final
2021-08-31 09:06:08	ga_ls7e_ard_3-2-0_098078_2021-08-30_final
2021-09-06 10:03:49	ga_ls7e_ard_3-2-0_108069_2021-09-06_final
2021-10-08 10:05:46	ga_ls7e_ard_3-2-0_108081_2021-10-08_final
2021-10-17 08:23:06	ga_ls7e_ard_3-2-0_091089_2021-10-16_final
2021-12-28 09:00:54	ga_ls7e_ard_3-2-1_099077_2021-12-27_final
2022-01-14 08:04:49	ga_ls7e_ard_3-2-1_090080_2022-01-13_final
2022-01-19 08:21:17	ga_ls7e_ard_3-2-1_093076_2022-01-18_final
2022-01-21 08:09:32	ga_ls7e_ard_3-2-1_091078_2022-01-20_final
2022-02-09 08:36:33	ga_ls7e_ard_3-2-1_096073_2022-02-08_final
2022-03-08 08:15:45	ga_ls7e_ard_3-2-1_093074_2022-03-07_final
2022-03-09 09:00:06	ga_ls7e_ard_3-2-1_100077_2022-03-08_final
2022-03-24 09:51:27	ga_ls7e_ard_3-2-1_109070_2022-03-24_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