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
1999-10-10 09:31:16	ga_ls7e_ard_3-1-0_094067_1999-10-10_final
1999-11-25 11:29:01	ga_ls7e_ard_3-1-0_112084_1999-11-25_final
2000-04-19 09:30:29	ga_ls7e_ard_3-1-0_094067_2000-04-19_final
2001-04-15 09:22:10	ga_ls7e_ard_3-1-0_093067_2001-04-14_final
2003-11-22 09:26:53	ga_ls7e_ard_3-1-0_094067_2003-11-21_final
2004-01-22 09:01:56	ga_ls7e_ard_3-1-0_089081_2004-01-21_final
2004-01-25 09:30:04	ga_ls7e_ard_3-1-0_094074_2004-01-25_final
2004-03-10 09:02:08	ga_ls7e_ard_3-1-0_089081_2004-03-09_final
2004-12-05 10:49:19	ga_ls7e_ard_3-1-0_107071_2004-12-05_final
2005-12-06 11:06:07	ga_ls7e_ard_3-1-0_109081_2005-12-06_final
2005-12-26 09:02:36	ga_ls7e_ard_3-1-0_089081_2005-12-25_final
2006-01-02 09:10:27	ga_ls7e_ard_3-1-0_090085_2006-01-01_final
2006-02-25 10:10:59	ga_ls7e_ard_3-1-0_100081_2006-02-25_final
2006-10-13 09:30:03	ga_ls7e_ard_3-1-0_094073_2006-10-13_final
2007-03-19 09:03:27	ga_ls7e_ard_3-1-0_089081_2007-03-18_final
2007-12-12 09:30:19	ga_ls7e_ard_3-1-0_093087_2007-12-12_final
2008-01-23 10:06:16	ga_ls7e_ard_3-1-0_099084_2008-01-23_final
2008-02-05 09:28:33	ga_ls7e_ard_3-1-0_094067_2008-02-04_final
2008-02-15 10:12:22	ga_ls7e_ard_3-1-0_100084_2008-02-15_final
2008-11-03 09:30:00	ga_ls7e_ard_3-1-0_094074_2008-11-03_final
2008-12-21 09:30:10	ga_ls7e_ard_3-1-0_094073_2008-12-21_final
2010-05-31 11:28:23	ga_ls7e_ard_3-1-0_112084_2010-05-31_final
2011-07-16 09:33:33	ga_ls7e_ard_3-1-0_093087_2011-07-16_final
2011-11-05 11:09:57	ga_ls7e_ard_3-1-0_109081_2011-11-05_final
2011-12-14 09:32:00	ga_ls7e_ard_3-1-0_094067_2011-12-14_final
2012-01-24 11:10:30	ga_ls7e_ard_3-1-0_109081_2012-01-24_final
2012-04-24 09:14:57	ga_ls7e_ard_3-1-0_090085_2012-04-23_final
2012-04-29 09:34:26	ga_ls7e_ard_3-1-0_093087_2012-04-29_final
2013-02-02 09:34:26	ga_ls7e_ard_3-1-0_094067_2013-02-02_final
2013-05-09 09:34:06	ga_ls7e_ard_3-1-0_094067_2013-05-09_final
2013-06-19 09:35:40	ga_ls7e_ard_3-1-0_093087_2013-06-19_final
2013-10-29 09:08:59	ga_ls7e_ard_3-1-0_089081_2013-10-28_final
2014-11-10 10:39:29	ga_ls7e_ard_3-1-0_104070_2014-11-10_final
2014-12-04 11:30:39	ga_ls7e_ard_3-1-0_112074_2014-12-04_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2015-11-21 11:37:03	ga_ls7e_ard_3-1-0_112084_2015-11-21_final
2015-12-06 09:13:55	ga_ls7e_ard_3-1-0_089081_2015-12-05_final
2016-04-29 11:34:37	ga_ls7e_ard_3-1-0_112074_2016-04-29_final
2016-07-20 09:40:49	ga_ls7e_ard_3-1-0_094067_2016-07-20_final
2016-12-11 09:40:42	ga_ls7e_ard_3-1-0_094067_2016-12-11_final
2017-03-15 11:38:26	ga_ls7e_ard_3-1-0_112084_2017-03-15_final
2017-09-08 10:42:26	ga_ls7e_ard_3-1-0_103082_2017-09-08_final
2017-12-18 09:23:02	ga_ls7e_ard_3-1-0_090085_2017-12-17_final
2018-03-02 11:33:38	ga_ls7e_ard_3-1-0_112074_2018-03-02_final
2019-01-06 09:14:34	ga_ls7e_ard_3-1-0_090082_2019-01-05_final
2019-02-22 10:09:56	ga_ls7e_ard_3-1-0_099085_2019-02-22_final
2019-03-05 11:29:08	ga_ls7e_ard_3-1-0_112083_2019-03-05_final
2019-03-10 10:03:03	ga_ls7e_ard_3-1-0_099069_2019-03-10_final
2019-03-10 10:07:26	ga_ls7e_ard_3-1-0_099080_2019-03-10_final
2019-03-20 09:06:54	ga_ls7e_ard_3-1-0_089084_2019-03-19_final
2019-03-27 09:15:14	ga_ls7e_ard_3-1-0_090090_2019-03-26_final
2019-03-29 10:34:54	ga_ls7e_ard_3-1-0_104073_2019-03-29_final
2019-09-02 10:01:58	ga_ls7e_ard_3-1-0_099083_2019-09-02_final
2019-09-18 09:59:40	ga_ls7e_ard_3-1-0_099079_2019-09-18_final
2019-10-04 09:55:00	ga_ls7e_ard_3-1-0_099069_2019-10-04_final
2019-10-10 09:19:40	ga_ls7e_ard_3-1-0_093074_2019-10-09_final
2019-10-16 10:18:49	ga_ls7e_ard_3-1-0_103068_2019-10-16_final
2019-10-20 09:54:20	ga_ls7e_ard_3-1-0_099069_2019-10-20_final
2019-10-20 09:58:43	ga_ls7e_ard_3-1-0_099080_2019-10-20_final
2019-11-02 09:24:51	ga_ls7e_ard_3-1-0_094074_2019-11-01_final
2019-11-05 09:56:01	ga_ls7e_ard_3-1-0_099075_2019-11-05_final
2019-11-05 09:59:36	ga_ls7e_ard_3-1-0_099084_2019-11-05_final
2019-11-06 09:04:44	ga_ls7e_ard_3-1-0_090086_2019-11-05_final
2019-11-21 09:52:05	ga_ls7e_ard_3-1-0_099067_2019-11-21_final
2019-11-22 09:02:24	ga_ls7e_ard_3-1-0_090082_2019-11-21_final
2019-11-22 09:04:00	ga_ls7e_ard_3-1-0_090086_2019-11-21_final
2019-11-23 11:21:18	ga_ls7e_ard_3-1-0_113074_2019-11-23_final
2019-11-23 11:21:42	ga_ls7e_ard_3-1-0_113075_2019-11-23_final
2019-12-07 09:55:42	ga_ls7e_ard_3-1-0_099078_2019-12-07_final
2019-12-08 09:01:37	ga_ls7e_ard_3-1-0_090082_2019-12-07_final
2019-12-10 10:26:51	ga_ls7e_ard_3-1-0_104079_2019-12-10_final
2019-12-29 09:16:42	ga_ls7e_ard_3-1-0_093076_2019-12-28_final
2020-01-04 10:15:47	ga_ls7e_ard_3-1-0_103070_2020-01-04_final
2020-01-14 09:20:40	ga_ls7e_ard_3-1-0_093088_2020-01-13_final
2020-01-21 09:20:55	ga_ls7e_ard_3-1-0_094074_2020-01-20_final
2020-02-05 10:14:11	ga_ls7e_ard_3-1-0_103070_2020-02-05_final
2020-02-15 10:56:20	ga_ls7e_ard_3-1-0_109084_2020-02-15_final
2020-02-21 10:18:09	ga_ls7e_ard_3-1-0_103082_2020-02-21_final
2020-02-25 09:52:01	ga_ls7e_ard_3-1-0_099079_2020-02-25_final
2020-02-25 09:52:25	ga_ls7e_ard_3-1-0_099080_2020-02-25_final
2020-02-27 11:13:39	ga_ls7e_ard_3-1-0_113067_2020-02-27_final
2020-03-04 10:37:50	ga_ls7e_ard_3-1-0_107071_2020-03-04_final
2020-03-04 10:39:50	ga_ls7e_ard_3-1-0_107076_2020-03-04_final
2020-03-07 11:09:46	ga_ls7e_ard_3-1-0_112074_2020-03-07_final
2020-03-09 09:20:49	ga_ls7e_ard_3-1-0_094080_2020-03-08_final
2020-03-20 10:36:58	ga_ls7e_ard_3-1-0_107071_2020-03-20_final
2020-03-20 10:38:57	ga_ls7e_ard_3-1-0_107076_2020-03-20_final
2020-03-30 11:17:52	ga_ls7e_ard_3-1-0_113082_2020-03-30_final
2020-03-31 10:18:36	ga_ls7e_ard_3-1-0_104073_2020-03-31_final
2020-04-05 10:41:15	ga_ls7e_ard_3-1-0_107084_2020-04-05_final
2020-04-10 09:21:25	ga_ls7e_ard_3-1-0_094086_2020-04-09_final
2020-04-21 10:39:55	ga_ls7e_ard_3-1-0_107083_2020-04-21_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-23 09:07:30	ga_ls7e_ard_3-2-1_102068_2022-03-22_final
2022-03-23 09:07:54	ga_ls7e_ard_3-2-1_102069_2022-03-22_final
2022-03-24 09:51:27	ga_ls7e_ard_3-2-1_109070_2022-03-24_final
2022-03-24 09:51:51	ga_ls7e_ard_3-2-1_109071_2022-03-24_final
2022-03-26 08:07:37	ga_ls7e_ard_3-2-1_091089_2022-03-25_final
2022-04-02 08:07:32	ga_ls7e_ard_3-2-1_092075_2022-04-01_final
2022-04-02 08:12:43	ga_ls7e_ard_3-2-1_092088_2022-04-01_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