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
1999-08-14 09:44:28	ga_ls7e_ard_3-0-0_095085_1999-08-14_final
2000-02-06 09:43:57	ga_ls7e_ard_3-0-0_095084_2000-02-06_final
2000-06-18 11:37:40	ga_ls7e_ard_3-0-0_114077_2000-06-18_final
2000-06-29 09:40:04	ga_ls7e_ard_3-0-0_095077_2000-06-29_final
2000-10-03 09:40:49	ga_ls7e_ard_3-0-0_095082_2000-10-03_final
2001-01-07 09:42:02	ga_ls7e_ard_3-0-0_095085_2001-01-07_final
2001-04-02 11:36:20	ga_ls7e_ard_3-0-0_114078_2001-04-02_final
2001-06-16 09:38:46	ga_ls7e_ard_3-1-0_095079_2001-06-16_final
2001-07-23 11:35:30	ga_ls7e_ard_3-0-0_114078_2001-07-23_final
2001-12-14 11:35:41	ga_ls7e_ard_3-0-0_114080_2001-12-14_final
2001-12-25 09:41:05	ga_ls7e_ard_3-0-0_095087_2001-12-25_final
2002-03-31 09:41:11	ga_ls7e_ard_3-0-0_095087_2002-03-31_final
2002-12-12 09:35:50	ga_ls7e_ard_3-0-0_095075_2002-12-12_final
2003-04-19 09:37:56	ga_ls7e_ard_3-1-0_095079_2003-04-19_final
2004-06-08 09:37:29	ga_ls7e_ard_3-0-0_095077_2004-06-08_final
2004-06-08 09:37:53	ga_ls7e_ard_3-0-0_095078_2004-06-08_final
2005-02-19 09:38:50	ga_ls7e_ard_3-1-0_095079_2005-02-19_final
2005-03-07 09:38:29	ga_ls7e_ard_3-0-0_095078_2005-03-07_final
2005-03-12 11:35:32	ga_ls7e_ard_3-0-0_114077_2005-03-12_final
2005-06-27 09:38:36	ga_ls7e_ard_3-1-0_095079_2005-06-27_final
2005-10-17 09:38:21	ga_ls7e_ard_3-1-0_095079_2005-10-17_final
2005-11-02 09:38:33	ga_ls7e_ard_3-1-0_095079_2005-11-02_final
2005-11-18 09:38:18	ga_ls7e_ard_3-0-0_095078_2005-11-18_final
2006-02-22 09:38:29	ga_ls7e_ard_3-0-0_095077_2006-02-22_final
2006-11-05 09:38:12	ga_ls7e_ard_3-0-0_095077_2006-11-05_final
2007-12-10 09:39:29	ga_ls7e_ard_3-1-0_095079_2007-12-10_final
2008-05-23 11:35:22	ga_ls7e_ard_3-0-0_114076_2008-05-23_final
2009-07-08 09:38:21	ga_ls7e_ard_3-0-0_095076_2009-07-08_final
2010-08-17 11:38:03	ga_ls7e_ard_3-0-0_114077_2010-08-17_final
2011-02-20 09:41:52	ga_ls7e_ard_3-0-0_095077_2011-02-20_final
2011-08-15 09:43:00	ga_ls7e_ard_3-0-0_095080_2011-08-15_final
2011-08-31 09:41:22	ga_ls7e_ard_3-0-0_095076_2011-08-31_final
2011-10-18 09:43:18	ga_ls7e_ard_3-0-0_095081_2011-10-18_final
2012-02-23 09:42:32	ga_ls7e_ard_3-0-0_095077_2012-02-23_final
2013-01-08 09:46:09	ga_ls7e_ard_3-0-0_095081_2013-01-08_final
2013-02-09 09:43:49	ga_ls7e_ard_3-0-0_095075_2013-02-09_final
2013-02-09 09:44:37	ga_ls7e_ard_3-0-0_095077_2013-02-09_final
2013-09-05 09:44:44	ga_ls7e_ard_3-1-0_095079_2013-09-05_final
2014-03-16 09:46:04	ga_ls7e_ard_3-1-0_095079_2014-03-16_final
2014-06-20 09:45:01	ga_ls7e_ard_3-0-0_095075_2014-06-20_final
2014-07-22 09:47:34	ga_ls7e_ard_3-0-0_095081_2014-07-22_final
2015-05-06 09:47:20	ga_ls7e_ard_3-0-0_095076_2015-05-06_final
2016-07-11 09:50:09	ga_ls7e_ard_3-0-0_095075_2016-07-11_final
2017-01-24 11:47:52	ga_ls7e_ard_3-0-0_114077_2017-01-24_final
2017-04-09 09:51:29	ga_ls7e_ard_3-1-0_095079_2017-04-09_final
2018-03-27 09:50:14	ga_ls7e_ard_3-1-0_095079_2018-03-27_final
2018-05-14 09:49:02	ga_ls7e_ard_3-0-0_095078_2018-05-14_final
2018-09-03 09:47:47	ga_ls7e_ard_3-0-0_095080_2018-09-03_final
2018-09-19 09:46:14	ga_ls7e_ard_3-0-0_095077_2018-09-19_final
2018-11-22 09:43:56	ga_ls7e_ard_3-0-0_095075_2018-11-22_final
2019-05-22 11:35:53	ga_ls7e_ard_3-0-0_114076_2019-05-22_final
2019-07-04 09:41:18	ga_ls7e_ard_3-0-0_095087_2019-07-04_final
2019-07-20 09:36:17	ga_ls7e_ard_3-0-0_095076_2019-07-20_final
2019-11-25 09:31:58	ga_ls7e_ard_3-1-0_095079_2019-11-25_final
2020-04-17 09:22:48	ga_ls7e_ard_3-1-0_095075_2020-04-16_final
2020-11-11 09:11:23	ga_ls7e_ard_3-1-0_095079_2020-11-10_final
2021-02-08 08:58:47	ga_ls7e_ard_3-2-0_094079_2021-02-07_final
2021-02-14 10:00:56	ga_ls7e_ard_3-2-0_104081_2021-02-14_final
2021-03-10 09:07:15	ga_ls7e_ard_3-2-0_096075_2021-03-09_final
2021-03-16 10:10:58	ga_ls7e_ard_3-2-0_106081_2021-03-16_final
2021-05-23 09:40:35	ga_ls7e_ard_3-2-0_102081_2021-05-23_final
2021-05-27 09:12:43	ga_ls7e_ard_3-2-0_098074_2021-05-26_final
2021-05-28 09:54:42	ga_ls7e_ard_3-2-0_105071_2021-05-28_final
2021-06-06 09:49:22	ga_ls7e_ard_3-2-0_104075_2021-06-06_final
2021-06-15 09:44:03	ga_ls7e_ard_3-2-0_103079_2021-06-15_final
2021-06-30 10:38:02	ga_ls7e_ard_3-2-0_112078_2021-06-30_final
2021-07-24 09:47:44	ga_ls7e_ard_3-2-0_104081_2021-07-24_final
2021-08-20 09:26:25	ga_ls7e_ard_3-2-0_101080_2021-08-19_final
2021-09-08 09:54:52	ga_ls7e_ard_3-2-0_106078_2021-09-08_final
2021-09-11 08:45:50	ga_ls7e_ard_3-2-0_095076_2021-09-10_final
2021-09-11 08:46:38	ga_ls7e_ard_3-2-0_095078_2021-09-10_final
2021-09-18 10:30:16	ga_ls7e_ard_3-2-0_112076_2021-09-18_final
2021-09-20 10:18:56	ga_ls7e_ard_3-2-0_110079_2021-09-20_final
2021-09-21 09:23:13	ga_ls7e_ard_3-2-0_101079_2021-09-20_final
2021-09-26 09:39:19	ga_ls7e_ard_3-2-0_104074_2021-09-26_final
2021-10-05 09:32:44	ga_ls7e_ard_3-2-0_103075_2021-10-05_final
2021-10-06 10:17:06	ga_ls7e_ard_3-2-0_110078_2021-10-06_final
2021-10-09 09:07:40	ga_ls7e_ard_3-2-0_099075_2021-10-08_final
2021-10-20 08:48:33	ga_ls7e_ard_3-2-0_096076_2021-10-19_final
2021-10-27 08:54:05	ga_ls7e_ard_3-2-0_097076_2021-10-26_final
2021-10-29 10:22:01	ga_ls7e_ard_3-2-0_111080_2021-10-29_final
2021-11-02 08:18:27	ga_ls7e_ard_3-2-0_091081_2021-11-01_final
2021-11-13 09:35:20	ga_ls7e_ard_3-2-1_104075_2021-11-13_final
2021-11-30 08:39:16	ga_ls7e_ard_3-2-1_095078_2021-11-29_final
2021-12-06 09:41:43	ga_ls7e_ard_3-2-1_105081_2021-12-06_final
2021-12-25 10:09:58	ga_ls7e_ard_3-2-1_110079_2021-12-25_final
2022-01-09 09:23:14	ga_ls7e_ard_3-2-1_103074_2022-01-08_final
2022-01-11 09:12:41	ga_ls7e_ard_3-2-1_101079_2022-01-10_final
2022-01-14 09:44:06	ga_ls7e_ard_3-2-1_106081_2022-01-14_final
2022-01-17 08:34:14	ga_ls7e_ard_3-2-1_095077_2022-01-16_final
2022-01-21 09:50:01	ga_ls7e_ard_3-2-1_107082_2022-01-21_final
2022-02-20 09:58:34	ga_ls7e_ard_3-2-1_109080_2022-02-20_final
2022-02-24 09:33:04	ga_ls7e_ard_3-2-1_105079_2022-02-24_final
2022-02-25 08:35:46	ga_ls7e_ard_3-2-1_096075_2022-02-24_final
2022-03-13 08:36:35	ga_ls7e_ard_3-2-1_096081_2022-03-12_final
2022-03-13 10:14:15	ga_ls7e_ard_3-2-1_112078_2022-03-13_final
2022-03-21 09:20:50	ga_ls7e_ard_3-2-1_104070_2022-03-20_final
2022-03-23 09:10:41	ga_ls7e_ard_3-2-1_102076_2022-03-22_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_final
2022-04-01 09:05:15	ga_ls7e_ard_3-2-1_101080_2022-03-31_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