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
1999-10-06 11:39:16	ga_ls7e_ard_3-0-0_114078_1999-10-06_final
1999-10-29 11:44:29	ga_ls7e_ard_3-0-0_115076_1999-10-29_final
1999-11-02 09:40:29	ga_ls7e_ard_3-0-0_095075_1999-11-02_final
2000-02-05 09:00:18	ga_ls7e_ard_3-0-0_088083_2000-02-04_final
2000-09-13 11:42:39	ga_ls7e_ard_3-1-0_115077_2000-09-13_final
2000-12-02 11:41:10	ga_ls7e_ard_3-0-0_115074_2000-12-02_final
2001-03-17 11:34:53	ga_ls7e_ard_3-0-0_114074_2001-03-17_final
2001-04-29 09:41:16	ga_ls7e_ard_3-0-0_095084_2001-04-29_final
2001-06-21 11:34:30	ga_ls7e_ard_3-0-0_114075_2001-06-21_final
2001-09-20 09:39:14	ga_ls7e_ard_3-0-0_095083_2001-09-20_final
2002-01-31 11:35:01	ga_ls7e_ard_3-0-0_114078_2002-01-31_final
2002-07-17 11:39:09	ga_ls7e_ard_3-0-0_115074_2002-07-17_final
2002-09-12 11:34:08	ga_ls7e_ard_3-0-0_114078_2002-09-12_final
2003-01-18 11:34:41	ga_ls7e_ard_3-0-0_114078_2003-01-18_final
2003-03-07 11:34:58	ga_ls7e_ard_3-0-0_114078_2003-03-07_final
2003-07-24 09:38:07	ga_ls7e_ard_3-0-0_095080_2003-07-24_final
2003-09-26 09:37:23	ga_ls7e_ard_3-1-0_095079_2003-09-26_final
2004-04-21 09:40:18	ga_ls7e_ard_3-0-0_095084_2004-04-21_final
2004-10-30 09:37:38	ga_ls7e_ard_3-0-0_095078_2004-10-30_final
2005-02-24 11:35:05	ga_ls7e_ard_3-0-0_114076_2005-02-24_final
2005-09-04 11:34:59	ga_ls7e_ard_3-0-0_114077_2005-09-04_final
2006-12-23 09:34:36	ga_ls7e_ard_3-0-0_095067_2006-12-23_final
2007-04-03 11:35:57	ga_ls7e_ard_3-0-0_114076_2007-04-03_final
2007-08-18 11:30:52	ga_ls7e_ard_3-0-0_113080_2007-08-18_final
2007-08-20 09:40:48	ga_ls7e_ard_3-0-0_095083_2007-08-20_final
2007-09-03 11:31:32	ga_ls7e_ard_3-0-0_113082_2007-09-03_final
2008-10-25 09:38:02	ga_ls7e_ard_3-1-0_095079_2008-10-25_final
2009-05-26 11:37:04	ga_ls7e_ard_3-0-0_114079_2009-05-26_final
2009-08-25 09:41:22	ga_ls7e_ard_3-0-0_095084_2009-08-25_final
2009-09-10 09:40:57	ga_ls7e_ard_3-0-0_095083_2009-09-10_final
2010-10-31 09:36:56	ga_ls7e_ard_3-0-0_095067_2010-10-31_final
2011-08-27 11:45:23	ga_ls7e_ard_3-0-0_115077_2011-08-27_final
2013-03-25 11:48:03	ga_ls7e_ard_3-1-0_115077_2013-03-25_final
2013-06-15 11:36:06	ga_ls7e_ard_3-0-0_113079_2013-06-15_final
2013-09-10 11:40:37	ga_ls7e_ard_3-0-0_114075_2013-09-10_final
2013-11-08 09:46:09	ga_ls7e_ard_3-0-0_095081_2013-11-08_final
2014-03-30 11:37:24	ga_ls7e_ard_3-0-0_113079_2014-03-30_final
2014-04-13 11:49:51	ga_ls7e_ard_3-0-0_115079_2014-04-13_final
2014-07-20 11:38:47	ga_ls7e_ard_3-0-0_113081_2014-07-20_final
2014-07-27 11:44:38	ga_ls7e_ard_3-0-0_114080_2014-07-27_final
2014-12-13 09:46:03	ga_ls7e_ard_3-0-0_095075_2014-12-13_final
2015-05-22 09:49:03	ga_ls7e_ard_3-0-0_095080_2015-05-22_final
2016-08-28 09:52:40	ga_ls7e_ard_3-0-0_095081_2016-08-28_final
2016-10-15 09:52:44	ga_ls7e_ard_3-0-0_095081_2016-10-15_final
2016-11-16 09:53:20	ga_ls7e_ard_3-0-0_095083_2016-11-16_final
2017-01-24 11:48:40	ga_ls7e_ard_3-0-0_114079_2017-01-24_final
2017-02-25 11:48:16	ga_ls7e_ard_3-0-0_114078_2017-02-25_final
2017-06-01 11:47:35	ga_ls7e_ard_3-0-0_114075_2017-06-01_final
2018-02-21 11:42:42	ga_ls7e_ard_3-0-0_113081_2018-02-21_final
2018-06-15 09:49:18	ga_ls7e_ard_3-0-0_095080_2018-06-15_final
2018-11-06 09:45:07	ga_ls7e_ard_3-0-0_095077_2018-11-06_final
2019-06-14 11:40:28	ga_ls7e_ard_3-0-0_115074_2019-06-14_final
2019-12-16 11:28:21	ga_ls7e_ard_3-1-0_114079_2019-12-16_final
2020-04-22 11:20:20	ga_ls7e_ard_3-1-0_114076_2020-04-22_final
2020-05-17 11:15:50	ga_ls7e_ard_3-1-0_113084_2020-05-17_final
2020-11-16 11:08:27	ga_ls7e_ard_3-1-0_114079_2020-11-16_final
2021-03-12 08:54:44	ga_ls7e_ard_3-2-0_094075_2021-03-11_final
2021-03-13 09:38:18	ga_ls7e_ard_3-2-0_101076_2021-03-13_final
2021-03-16 10:09:22	ga_ls7e_ard_3-2-0_106077_2021-03-16_final
2021-03-18 09:56:27	ga_ls7e_ard_3-2-0_104076_2021-03-18_final
2021-04-17 10:08:20	ga_ls7e_ard_3-2-0_106081_2021-04-17_final
2021-05-01 08:40:14	ga_ls7e_ard_3-2-0_092080_2021-04-30_final
2021-05-01 10:19:07	ga_ls7e_ard_3-2-0_108080_2021-05-01_final
2021-05-12 09:59:15	ga_ls7e_ard_3-2-0_105079_2021-05-12_final
2021-05-18 09:19:17	ga_ls7e_ard_3-2-0_099073_2021-05-17_final
2021-05-19 08:26:22	ga_ls7e_ard_3-2-0_090080_2021-05-18_final
2021-05-20 09:10:44	ga_ls7e_ard_3-2-0_097083_2021-05-19_final
2021-05-22 08:55:25	ga_ls7e_ard_3-2-0_095076_2021-05-21_final
2021-06-06 09:51:21	ga_ls7e_ard_3-2-0_104080_2021-06-06_final
2021-06-30 08:56:45	ga_ls7e_ard_3-2-0_096072_2021-06-29_final
2021-07-03 09:28:36	ga_ls7e_ard_3-2-0_101075_2021-07-02_final
2021-07-07 09:04:44	ga_ls7e_ard_3-2-0_097078_2021-07-06_final
2021-07-14 09:09:08	ga_ls7e_ard_3-2-0_098075_2021-07-13_final
2021-07-16 08:59:23	ga_ls7e_ard_3-2-0_096082_2021-07-15_final
2021-07-21 09:13:54	ga_ls7e_ard_3-2-0_099073_2021-07-20_final
2021-07-22 09:59:04	ga_ls7e_ard_3-2-0_106078_2021-07-22_final
2021-08-24 10:39:02	ga_ls7e_ard_3-2-0_113077_2021-08-24_final
2021-08-28 10:12:23	ga_ls7e_ard_3-2-0_109073_2021-08-28_final
2021-08-30 08:24:09	ga_ls7e_ard_3-2-0_091081_2021-08-29_final
2021-10-17 08:21:30	ga_ls7e_ard_3-2-0_091085_2021-10-16_final
2021-11-03 10:40:05	ga_ls7e_ard_3-2-0_114080_2021-11-03_final
2021-11-15 09:22:46	ga_ls7e_ard_3-2-1_102075_2021-11-14_final
2021-11-23 08:34:09	ga_ls7e_ard_3-2-1_094079_2021-11-22_final
2021-12-02 10:02:25	ga_ls7e_ard_3-2-1_109070_2021-12-02_final
2021-12-05 08:55:45	ga_ls7e_ard_3-2-1_098074_2021-12-04_final
2021-12-11 08:21:18	ga_ls7e_ard_3-2-1_092082_2021-12-10_final
2021-12-23 08:41:16	ga_ls7e_ard_3-2-1_096073_2021-12-22_final
2021-12-23 08:41:40	ga_ls7e_ard_3-2-1_096074_2021-12-22_final
2022-01-05 09:50:19	ga_ls7e_ard_3-2-1_107079_2022-01-05_final
2022-01-06 08:52:13	ga_ls7e_ard_3-2-1_098073_2022-01-05_final
2022-01-08 08:42:04	ga_ls7e_ard_3-2-1_096079_2022-01-07_final
2022-01-21 08:11:08	ga_ls7e_ard_3-2-1_091082_2022-01-20_final
2022-01-21 09:47:13	ga_ls7e_ard_3-2-1_107075_2022-01-21_final
2022-01-27 09:09:57	ga_ls7e_ard_3-2-1_101076_2022-01-26_final
2022-02-18 08:31:26	ga_ls7e_ard_3-2-1_095078_2022-02-17_final
2022-02-22 08:06:21	ga_ls7e_ard_3-2-1_091078_2022-02-21_final
2022-02-25 08:38:09	ga_ls7e_ard_3-2-1_096081_2022-02-24_final
2022-02-27 08:26:24	ga_ls7e_ard_3-2-1_094083_2022-02-26_final
2022-03-20 08:42:27	ga_ls7e_ard_3-2-1_097082_2022-03-19_final
2022-03-26 09:43:42	ga_ls7e_ard_3-2-1_107082_2022-03-26_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