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
1999-07-09 11:44:47	ga_ls7e_ard_3-0-0_115077_1999-07-09_final
1999-08-26 11:44:56	ga_ls7e_ard_3-0-0_115077_1999-08-26_final
1999-11-02 09:39:17	ga_ls7e_ard_3-0-0_095072_1999-11-02_final
2000-05-28 09:38:21	ga_ls7e_ard_3-0-0_095072_2000-05-28_final
2000-09-01 09:35:17	ga_ls7e_ard_3-0-0_095067_2000-09-01_final
2000-09-29 11:42:51	ga_ls7e_ard_3-0-0_115078_2000-09-29_final
2002-02-11 09:35:19	ga_ls7e_ard_3-0-0_095072_2002-02-11_final
2002-03-15 09:36:04	ga_ls7e_ard_3-0-0_095074_2002-03-15_final
2003-01-13 09:35:12	ga_ls7e_ard_3-1-0_095073_2003-01-13_final
2003-03-30 11:41:30	ga_ls7e_ard_3-0-0_115079_2003-03-30_final
2003-12-27 11:40:29	ga_ls7e_ard_3-0-0_115076_2003-12-27_final
2004-06-08 09:40:40	ga_ls7e_ard_3-0-0_095085_2004-06-08_final
2006-02-22 09:37:41	ga_ls7e_ard_3-0-0_095075_2006-02-22_final
2006-05-29 09:36:52	ga_ls7e_ard_3-1-0_095073_2006-05-29_final
2006-12-07 09:41:43	ga_ls7e_ard_3-0-0_095085_2006-12-07_final
2007-05-28 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-05-28_final
2008-02-08 11:42:42	ga_ls7e_ard_3-0-0_115078_2008-02-08_final
2009-05-17 11:41:39	ga_ls7e_ard_3-0-0_115075_2009-05-17_final
2009-06-06 09:36:51	ga_ls7e_ard_3-0-0_095072_2009-06-06_final
2009-06-06 09:37:14	ga_ls7e_ard_3-1-0_095073_2009-06-06_final
2009-06-22 09:42:48	ga_ls7e_ard_3-0-0_095087_2009-06-22_final
2009-08-25 09:36:58	ga_ls7e_ard_3-1-0_095073_2009-08-25_final
2010-04-18 11:45:01	ga_ls7e_ard_3-0-0_115079_2010-04-18_final
2010-09-25 11:44:41	ga_ls7e_ard_3-0-0_115078_2010-09-25_final
2011-01-19 09:37:44	ga_ls7e_ard_3-0-0_095067_2011-01-19_final
2011-05-11 09:40:24	ga_ls7e_ard_3-1-0_095073_2011-05-11_final
2011-09-28 11:46:02	ga_ls7e_ard_3-0-0_115079_2011-09-28_final
2011-10-02 09:45:15	ga_ls7e_ard_3-0-0_095086_2011-10-02_final
2011-11-19 09:38:02	ga_ls7e_ard_3-0-0_095067_2011-11-19_final
2012-09-14 11:46:38	ga_ls7e_ard_3-0-0_115075_2012-09-14_final
2013-03-25 11:48:27	ga_ls7e_ard_3-0-0_115078_2013-03-25_final
2013-04-14 09:48:00	ga_ls7e_ard_3-0-0_095086_2013-04-14_final
2014-04-17 09:47:54	ga_ls7e_ard_3-0-0_095083_2014-04-17_final
2014-12-29 09:50:30	ga_ls7e_ard_3-0-0_095086_2014-12-29_final
2015-06-03 11:51:08	ga_ls7e_ard_3-0-0_115076_2015-06-03_final
2016-02-18 09:48:41	ga_ls7e_ard_3-1-0_095073_2016-02-18_final
2016-12-02 09:54:54	ga_ls7e_ard_3-0-0_095087_2016-12-02_final
2018-10-17 11:49:33	ga_ls7e_ard_3-0-0_115078_2018-10-17_final
2018-12-04 11:48:26	ga_ls7e_ard_3-0-0_115078_2018-12-04_final
2019-03-10 11:45:55	ga_ls7e_ard_3-1-0_115079_2019-03-10_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-09-22 09:32:46	ga_ls7e_ard_3-1-0_095074_2019-09-22_final
2020-04-17 09:26:48	ga_ls7e_ard_3-1-0_095085_2020-04-16_final
2021-02-20 11:02:16	ga_ls7e_ard_3-2-0_114081_2021-02-20_final
2021-02-21 08:29:42	ga_ls7e_ard_3-2-0_089086_2021-02-20_final
2021-02-22 09:06:30	ga_ls7e_ard_3-2-0_096070_2021-02-21_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-05 10:25:59	ga_ls7e_ard_3-2-0_109070_2021-03-05_final
2021-03-15 11:05:28	ga_ls7e_ard_3-2-0_115078_2021-03-15_final
2021-03-25 08:25:11	ga_ls7e_ard_3-2-0_089081_2021-03-24_final
2021-04-01 10:04:53	ga_ls7e_ard_3-2-0_106069_2021-04-01_final
2021-04-01 10:05:17	ga_ls7e_ard_3-2-0_106070_2021-04-01_final
2021-04-09 09:21:10	ga_ls7e_ard_3-2-0_098085_2021-04-08_final
2021-04-16 09:19:58	ga_ls7e_ard_3-2-0_099068_2021-04-15_final
2021-04-17 10:05:09	ga_ls7e_ard_3-2-0_106073_2021-04-17_final
2021-04-24 08:37:26	ga_ls7e_ard_3-2-0_091087_2021-04-23_final
2021-05-02 09:23:25	ga_ls7e_ard_3-2-0_099080_2021-05-01_final
2021-05-06 10:34:03	ga_ls7e_ard_3-2-0_111072_2021-05-06_final
2021-05-07 09:38:44	ga_ls7e_ard_3-2-0_102073_2021-05-07_final
2021-05-11 10:52:58	ga_ls7e_ard_3-2-0_114074_2021-05-11_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2021-05-17 08:42:29	ga_ls7e_ard_3-2-0_092089_2021-05-16_final
2021-06-02 08:39:31	ga_ls7e_ard_3-2-0_092085_2021-06-01_final
2021-06-02 10:13:36	ga_ls7e_ard_3-2-0_108073_2021-06-02_final
2021-06-19 10:56:17	ga_ls7e_ard_3-2-0_115075_2021-06-19_final
2021-06-29 08:17:34	ga_ls7e_ard_3-2-0_089082_2021-06-28_final
2021-06-30 08:55:57	ga_ls7e_ard_3-2-0_096070_2021-06-29_final
2021-06-30 08:59:09	ga_ls7e_ard_3-2-0_096078_2021-06-29_final
2021-07-03 09:29:24	ga_ls7e_ard_3-2-0_101077_2021-07-02_final
2021-07-06 08:21:58	ga_ls7e_ard_3-2-0_090079_2021-07-05_final
2021-07-06 10:02:26	ga_ls7e_ard_3-2-0_106083_2021-07-06_final
2021-07-10 09:31:48	ga_ls7e_ard_3-2-0_102069_2021-07-10_final
2021-07-13 08:29:57	ga_ls7e_ard_3-2-0_091085_2021-07-12_final
2021-07-25 10:32:06	ga_ls7e_ard_3-2-0_111084_2021-07-25_final
2021-08-03 10:19:33	ga_ls7e_ard_3-2-0_110070_2021-08-03_final
2021-08-14 10:00:02	ga_ls7e_ard_3-2-0_107070_2021-08-14_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-09-07 09:07:19	ga_ls7e_ard_3-2-0_099067_2021-09-06_final
2021-09-16 09:01:56	ga_ls7e_ard_3-2-0_098071_2021-09-15_final
2021-09-23 09:06:41	ga_ls7e_ard_3-2-0_099069_2021-09-22_final
2021-10-02 09:03:42	ga_ls7e_ard_3-2-0_098079_2021-10-01_final
2021-10-02 09:05:17	ga_ls7e_ard_3-2-0_098083_2021-10-01_final
2021-10-13 08:41:48	ga_ls7e_ard_3-2-0_095073_2021-10-12_final
2021-10-13 10:20:16	ga_ls7e_ard_3-2-0_111072_2021-10-13_final
2021-10-27 08:57:17	ga_ls7e_ard_3-2-0_097084_2021-10-26_final
2021-11-23 10:11:25	ga_ls7e_ard_3-2-1_110075_2021-11-23_final
2021-11-26 10:43:38	ga_ls7e_ard_3-2-1_115079_2021-11-26_final
2021-12-01 09:18:51	ga_ls7e_ard_3-2-1_102069_2021-11-30_final
2021-12-02 08:25:08	ga_ls7e_ard_3-2-1_093074_2021-12-01_final
2022-01-05 09:48:19	ga_ls7e_ard_3-2-1_107074_2022-01-05_final
2022-01-10 10:06:00	ga_ls7e_ard_3-2-1_110073_2022-01-10_final
2022-01-19 09:57:46	ga_ls7e_ard_3-2-1_109070_2022-01-19_final
2022-02-02 08:32:40	ga_ls7e_ard_3-2-1_095077_2022-02-01_final
2022-02-02 10:14:21	ga_ls7e_ard_3-2-1_111084_2022-02-02_final
2022-02-08 07:56:59	ga_ls7e_ard_3-2-1_089082_2022-02-07_final
2022-02-14 10:34:14	ga_ls7e_ard_3-2-1_115075_2022-02-14_final
2022-02-15 08:05:13	ga_ls7e_ard_3-2-1_090089_2022-02-14_final
2022-02-21 09:03:15	ga_ls7e_ard_3-2-1_100081_2022-02-20_final
2022-02-22 08:07:08	ga_ls7e_ard_3-2-1_091080_2022-02-21_final
2022-03-11 08:50:20	ga_ls7e_ard_3-2-1_098084_2022-03-10_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