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
1999-11-30 11:44:47	ga_ls7e_ard_3-1-0_115077_1999-11-30_final
1999-12-20 09:43:19	ga_ls7e_ard_3-0-0_095082_1999-12-20_final
2000-02-02 11:44:47	ga_ls7e_ard_3-0-0_115077_2000-02-02_final
2000-02-18 11:44:41	ga_ls7e_ard_3-0-0_115077_2000-02-18_final
2000-07-31 09:35:35	ga_ls7e_ard_3-0-0_095067_2000-07-31_final
2001-01-07 09:37:14	ga_ls7e_ard_3-1-0_095073_2001-01-07_final
2001-02-04 11:42:26	ga_ls7e_ard_3-1-0_115077_2001-02-04_final
2001-08-19 09:39:13	ga_ls7e_ard_3-0-0_095082_2001-08-19_final
2001-12-25 09:38:41	ga_ls7e_ard_3-0-0_095081_2001-12-25_final
2002-03-31 09:39:11	ga_ls7e_ard_3-0-0_095082_2002-03-31_final
2002-05-02 09:40:26	ga_ls7e_ard_3-0-0_095085_2002-05-02_final
2002-06-03 09:39:00	ga_ls7e_ard_3-0-0_095082_2002-06-03_final
2002-10-25 09:40:11	ga_ls7e_ard_3-0-0_095087_2002-10-25_final
2003-03-18 09:33:07	ga_ls7e_ard_3-0-0_095067_2003-03-18_final
2003-09-26 09:35:23	ga_ls7e_ard_3-0-0_095074_2003-09-26_final
2003-12-15 09:40:46	ga_ls7e_ard_3-0-0_095086_2003-12-15_final
2003-12-31 09:40:54	ga_ls7e_ard_3-0-0_095086_2003-12-31_final
2004-02-01 09:37:53	ga_ls7e_ard_3-0-0_095078_2004-02-01_final
2004-04-21 09:36:18	ga_ls7e_ard_3-0-0_095074_2004-04-21_final
2005-02-19 09:40:01	ga_ls7e_ard_3-0-0_095082_2005-02-19_final
2006-02-06 09:40:01	ga_ls7e_ard_3-0-0_095081_2006-02-06_final
2006-04-27 09:37:38	ga_ls7e_ard_3-0-0_095075_2006-04-27_final
2006-09-18 09:39:07	ga_ls7e_ard_3-0-0_095080_2006-09-18_final
2007-09-21 09:40:35	ga_ls7e_ard_3-0-0_095083_2007-09-21_final
2007-11-08 09:40:51	ga_ls7e_ard_3-0-0_095083_2007-11-08_final
2008-02-28 09:38:13	ga_ls7e_ard_3-0-0_095076_2008-02-28_final
2008-03-31 09:40:08	ga_ls7e_ard_3-0-0_095081_2008-03-31_final
2008-07-21 09:40:31	ga_ls7e_ard_3-0-0_095084_2008-07-21_final
2008-08-22 09:35:55	ga_ls7e_ard_3-1-0_095073_2008-08-22_final
2009-06-06 09:37:38	ga_ls7e_ard_3-0-0_095074_2009-06-06_final
2009-06-22 09:40:48	ga_ls7e_ard_3-0-0_095082_2009-06-22_final
2010-02-17 09:40:20	ga_ls7e_ard_3-0-0_095077_2010-02-17_final
2010-04-22 09:39:48	ga_ls7e_ard_3-0-0_095075_2010-04-22_final
2010-07-11 09:43:48	ga_ls7e_ard_3-0-0_095085_2010-07-11_final
2010-08-12 09:41:48	ga_ls7e_ard_3-0-0_095080_2010-08-12_final
2011-05-07 11:45:37	ga_ls7e_ard_3-1-0_115077_2011-05-07_final
2011-06-12 09:43:59	ga_ls7e_ard_3-0-0_095082_2011-06-12_final
2011-10-02 09:43:39	ga_ls7e_ard_3-0-0_095082_2011-10-02_final
2011-12-17 11:45:50	ga_ls7e_ard_3-1-0_115077_2011-12-17_final
2012-04-11 09:43:38	ga_ls7e_ard_3-0-0_095080_2012-04-11_final
2013-06-17 09:46:27	ga_ls7e_ard_3-0-0_095083_2013-06-17_final
2016-04-22 09:53:07	ga_ls7e_ard_3-0-0_095083_2016-04-22_final
2016-10-31 09:51:28	ga_ls7e_ard_3-0-0_095078_2016-10-31_final
2017-02-20 09:49:12	ga_ls7e_ard_3-0-0_095074_2017-02-20_final
2017-03-24 09:51:49	ga_ls7e_ard_3-0-0_095080_2017-03-24_final
2017-04-09 09:52:41	ga_ls7e_ard_3-0-0_095082_2017-04-09_final
2017-06-12 09:54:12	ga_ls7e_ard_3-0-0_095085_2017-06-12_final
2017-08-15 09:49:48	ga_ls7e_ard_3-0-0_095074_2017-08-15_final
2017-09-28 11:54:36	ga_ls7e_ard_3-1-0_115077_2017-09-28_final
2018-03-11 09:48:27	ga_ls7e_ard_3-0-0_095074_2018-03-11_final
2019-04-15 09:39:29	ga_ls7e_ard_3-0-0_095075_2019-04-15_final
2019-08-21 09:33:46	ga_ls7e_ard_3-1-0_095073_2019-08-21_final
2019-08-21 09:34:34	ga_ls7e_ard_3-0-0_095075_2019-08-21_final
2019-10-20 11:36:00	ga_ls7e_ard_3-1-0_115076_2019-10-20_final
2020-05-03 09:25:51	ga_ls7e_ard_3-1-0_095085_2020-05-02_final
2021-02-22 10:50:33	ga_ls7e_ard_3-2-0_112083_2021-02-22_final
2021-02-23 09:52:28	ga_ls7e_ard_3-2-0_103077_2021-02-23_final
2021-03-05 08:51:06	ga_ls7e_ard_3-2-0_093080_2021-03-04_final
2021-03-07 10:15:28	ga_ls7e_ard_3-2-0_107075_2021-03-07_final
2021-03-12 08:59:31	ga_ls7e_ard_3-2-0_094087_2021-03-11_final
2021-03-17 10:53:21	ga_ls7e_ard_3-2-0_113079_2021-03-17_final
2021-03-31 11:03:46	ga_ls7e_ard_3-2-0_115077_2021-03-31_final
2021-04-01 08:31:35	ga_ls7e_ard_3-2-0_090083_2021-03-31_final
2021-04-13 08:54:31	ga_ls7e_ard_3-2-0_094081_2021-04-12_final
2021-04-22 10:22:52	ga_ls7e_ard_3-2-0_109072_2021-04-22_final
2021-05-10 08:37:18	ga_ls7e_ard_3-2-0_091090_2021-05-09_final
2021-05-11 10:53:22	ga_ls7e_ard_3-2-0_114075_2021-05-11_final
2021-05-20 09:09:08	ga_ls7e_ard_3-2-0_097079_2021-05-19_final
2021-06-10 09:23:31	ga_ls7e_ard_3-2-0_100073_2021-06-09_final
2021-06-16 08:48:45	ga_ls7e_ard_3-2-0_094080_2021-06-15_final
2021-06-18 08:35:49	ga_ls7e_ard_3-2-0_092079_2021-06-17_final
2021-06-19 09:17:24	ga_ls7e_ard_3-2-0_099075_2021-06-18_final
2021-07-08 09:44:19	ga_ls7e_ard_3-2-0_104069_2021-07-08_final
2021-07-08 09:45:07	ga_ls7e_ard_3-2-0_104071_2021-07-08_final
2021-07-20 10:09:37	ga_ls7e_ard_3-2-0_108073_2021-07-20_final
2021-07-27 08:36:42	ga_ls7e_ard_3-2-0_093074_2021-07-26_final
2021-08-03 08:39:29	ga_ls7e_ard_3-2-0_094067_2021-08-02_final
2021-08-10 08:50:13	ga_ls7e_ard_3-2-0_095080_2021-08-09_final
2021-08-22 09:14:17	ga_ls7e_ard_3-2-0_099081_2021-08-21_final
2021-09-02 08:53:36	ga_ls7e_ard_3-2-0_096078_2021-09-01_final
2021-09-04 10:19:33	ga_ls7e_ard_3-2-0_110077_2021-09-04_final
2021-09-12 09:28:36	ga_ls7e_ard_3-2-0_102075_2021-09-11_final
2021-09-21 09:21:13	ga_ls7e_ard_3-2-0_101074_2021-09-20_final
2021-09-29 08:31:04	ga_ls7e_ard_3-2-0_093074_2021-09-28_final
2021-10-05 09:32:20	ga_ls7e_ard_3-2-0_103074_2021-10-05_final
2021-10-15 10:06:56	ga_ls7e_ard_3-2-0_109070_2021-10-15_final
2021-10-18 10:39:10	ga_ls7e_ard_3-2-0_114074_2021-10-18_final
2021-10-29 08:42:20	ga_ls7e_ard_3-2-0_095078_2021-10-28_final
2021-11-01 09:13:45	ga_ls7e_ard_3-2-0_100080_2021-10-31_final
2021-12-08 09:28:46	ga_ls7e_ard_3-2-1_103080_2021-12-07_final
2021-12-10 09:14:13	ga_ls7e_ard_3-2-1_101075_2021-12-09_final
2022-01-02 09:16:56	ga_ls7e_ard_3-2-1_102072_2022-01-01_final
2022-01-26 10:06:04	ga_ls7e_ard_3-2-1_110077_2022-01-26_final
2022-01-29 10:35:28	ga_ls7e_ard_3-2-1_115074_2022-01-29_final
2022-02-06 08:12:44	ga_ls7e_ard_3-2-1_091090_2022-02-05_final
2022-02-09 08:39:44	ga_ls7e_ard_3-2-1_096081_2022-02-08_final
2022-02-23 08:50:18	ga_ls7e_ard_3-2-1_098080_2022-02-22_final
2022-02-23 10:26:47	ga_ls7e_ard_3-2-1_114074_2022-02-23_final
2022-02-27 10:02:05	ga_ls7e_ard_3-2-1_110075_2022-02-27_final
2022-03-11 10:27:13	ga_ls7e_ard_3-2-1_114079_2022-03-11_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