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
1999-09-27 11:45:24	ga_ls7e_ard_3-0-0_115078_1999-09-27_final
2000-11-16 11:42:20	ga_ls7e_ard_3-1-0_115077_2000-11-16_final
2002-02-23 11:40:06	ga_ls7e_ard_3-0-0_115075_2002-02-23_final
2002-02-25 11:27:23	ga_ls7e_ard_3-0-0_113074_2002-02-25_final
2002-11-22 11:40:08	ga_ls7e_ard_3-1-0_115077_2002-11-22_final
2003-11-09 11:39:41	ga_ls7e_ard_3-0-0_115075_2003-11-09_final
2003-12-27 11:40:06	ga_ls7e_ard_3-0-0_115075_2003-12-27_final
2003-12-29 11:27:21	ga_ls7e_ard_3-0-0_113074_2003-12-29_final
2004-01-21 11:36:26	ga_ls7e_ard_3-0-0_114081_2004-01-21_final
2004-08-07 11:40:00	ga_ls7e_ard_3-0-0_115075_2004-08-07_final
2004-08-25 11:30:49	ga_ls7e_ard_3-0-0_113083_2004-08-25_final
2005-08-26 11:40:28	ga_ls7e_ard_3-0-0_115075_2005-08-26_final
2005-09-20 11:36:05	ga_ls7e_ard_3-0-0_114080_2005-09-20_final
2005-10-22 11:36:38	ga_ls7e_ard_3-0-0_114081_2005-10-22_final
2005-11-16 11:27:56	ga_ls7e_ard_3-0-0_113074_2005-11-16_final
2006-06-10 11:42:25	ga_ls7e_ard_3-0-0_115078_2006-06-10_final
2006-07-28 11:42:06	ga_ls7e_ard_3-0-0_115078_2006-07-28_final
2006-11-17 11:40:45	ga_ls7e_ard_3-0-0_115074_2006-11-17_final
2006-12-03 11:41:18	ga_ls7e_ard_3-0-0_115075_2006-12-03_final
2006-12-03 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-12-03_final
2007-01-29 11:32:09	ga_ls7e_ard_3-0-0_114067_2007-01-29_final
2007-03-09 11:41:19	ga_ls7e_ard_3-0-0_115074_2007-03-09_final
2007-05-05 11:37:51	ga_ls7e_ard_3-0-0_114081_2007-05-05_final
2007-11-04 11:42:49	ga_ls7e_ard_3-0-0_115079_2007-11-04_final
2008-04-30 11:30:55	ga_ls7e_ard_3-0-0_113080_2008-04-30_final
2008-05-23 11:36:58	ga_ls7e_ard_3-0-0_114080_2008-05-23_final
2011-02-16 11:45:50	ga_ls7e_ard_3-0-0_115078_2011-02-16_final
2011-07-28 11:33:55	ga_ls7e_ard_3-0-0_113079_2011-07-28_final
2012-12-12 11:41:05	ga_ls7e_ard_3-0-0_114075_2012-12-12_final
2013-01-04 11:48:34	ga_ls7e_ard_3-0-0_115078_2013-01-04_final
2013-10-05 11:34:19	ga_ls7e_ard_3-0-0_113074_2013-10-05_final
2014-05-15 11:49:43	ga_ls7e_ard_3-0-0_115078_2014-05-15_final
2014-10-15 11:45:23	ga_ls7e_ard_3-0-0_114081_2014-10-15_final
2015-07-23 11:38:12	ga_ls7e_ard_3-0-0_113074_2015-07-23_final
2016-02-16 11:40:19	ga_ls7e_ard_3-0-0_113074_2016-02-16_final
2016-07-07 11:54:10	ga_ls7e_ard_3-0-0_115076_2016-07-07_final
2017-01-15 11:54:33	ga_ls7e_ard_3-0-0_115078_2017-01-15_final
2017-01-17 11:40:34	ga_ls7e_ard_3-0-0_113074_2017-01-17_final
2017-01-17 11:40:58	ga_ls7e_ard_3-0-0_113075_2017-01-17_final
2017-06-26 11:45:05	ga_ls7e_ard_3-0-0_113084_2017-06-26_final
2018-02-03 11:54:04	ga_ls7e_ard_3-0-0_115078_2018-02-03_final
2018-02-19 11:52:41	ga_ls7e_ard_3-0-0_115075_2018-02-19_final
2018-08-23 11:40:15	ga_ls7e_ard_3-0-0_114067_2018-08-23_final
2018-08-23 11:45:50	ga_ls7e_ard_3-0-0_114081_2018-08-23_final
2019-01-23 11:32:59	ga_ls7e_ard_3-0-0_113074_2019-01-23_final
2020-06-25 11:18:30	ga_ls7e_ard_3-1-0_114081_2020-06-25_final
2020-11-24 10:14:03	ga_ls7e_ard_3-1-0_106068_2020-11-24_final
2020-12-02 09:25:14	ga_ls7e_ard_3-1-0_098071_2020-12-01_final
2020-12-11 09:18:47	ga_ls7e_ard_3-1-0_097072_2020-12-10_final
2020-12-13 10:43:33	ga_ls7e_ard_3-1-0_111068_2020-12-13_final
2020-12-18 09:27:37	ga_ls7e_ard_3-1-0_098080_2020-12-17_final
2020-12-18 11:05:42	ga_ls7e_ard_3-1-0_114078_2020-12-18_final
2020-12-26 10:12:05	ga_ls7e_ard_3-1-0_106069_2020-12-26_final
2021-01-16 10:30:22	ga_ls7e_ard_3-1-0_109072_2021-01-16_final
2021-01-20 10:06:33	ga_ls7e_ard_3-2-0_105075_2021-01-20_final
2021-01-25 08:46:15	ga_ls7e_ard_3-2-0_092076_2021-01-24_final
2021-02-04 09:19:48	ga_ls7e_ard_3-2-0_098069_2021-02-03_final
2021-02-05 10:06:35	ga_ls7e_ard_3-2-0_105078_2021-02-05_final
2021-02-08 08:56:47	ga_ls7e_ard_3-2-0_094074_2021-02-07_final
2021-02-10 08:44:40	ga_ls7e_ard_3-2-0_092075_2021-02-09_final
2021-02-17 10:32:24	ga_ls7e_ard_3-2-0_109083_2021-02-17_final
2021-03-24 09:19:41	ga_ls7e_ard_3-2-0_098078_2021-03-23_final
2021-04-10 10:00:21	ga_ls7e_ard_3-2-0_105075_2021-04-10_final
2021-04-15 10:18:04	ga_ls7e_ard_3-2-0_108074_2021-04-15_final
2021-04-17 10:03:09	ga_ls7e_ard_3-2-0_106068_2021-04-17_final
2021-04-23 09:26:45	ga_ls7e_ard_3-2-0_100071_2021-04-22_final
2021-04-26 09:56:12	ga_ls7e_ard_3-2-0_105068_2021-04-26_final
2021-05-04 10:47:22	ga_ls7e_ard_3-2-0_113074_2021-05-04_final
2021-05-04 10:50:34	ga_ls7e_ard_3-2-0_113082_2021-05-04_final
2021-05-06 10:38:26	ga_ls7e_ard_3-2-0_111083_2021-05-06_final
2021-05-08 08:48:38	ga_ls7e_ard_3-2-0_093087_2021-05-07_final
2021-05-24 10:21:22	ga_ls7e_ard_3-2-0_109075_2021-05-24_final
2021-05-24 10:24:57	ga_ls7e_ard_3-2-0_109084_2021-05-24_final
2021-05-26 08:34:20	ga_ls7e_ard_3-2-0_091086_2021-05-25_final
2021-06-19 09:19:00	ga_ls7e_ard_3-2-0_099079_2021-06-18_final
2021-06-25 08:41:26	ga_ls7e_ard_3-2-0_093079_2021-06-24_final
2021-06-28 09:07:17	ga_ls7e_ard_3-2-0_098067_2021-06-27_final
2021-06-29 09:53:15	ga_ls7e_ard_3-2-0_105074_2021-06-29_final
2021-07-03 09:27:00	ga_ls7e_ard_3-2-0_101071_2021-07-02_final
2021-07-14 10:47:36	ga_ls7e_ard_3-2-0_114074_2021-07-14_final
2021-07-27 08:41:54	ga_ls7e_ard_3-2-0_093087_2021-07-26_final
2021-09-16 09:00:20	ga_ls7e_ard_3-2-0_098067_2021-09-15_final
2021-09-23 09:07:29	ga_ls7e_ard_3-2-0_099071_2021-09-22_final
2021-10-04 08:53:09	ga_ls7e_ard_3-2-0_096084_2021-10-03_final
2021-10-09 09:08:28	ga_ls7e_ard_3-2-0_099077_2021-10-08_final
2021-10-10 08:17:57	ga_ls7e_ard_3-2-0_090090_2021-10-09_final
2021-10-18 09:01:29	ga_ls7e_ard_3-2-0_098077_2021-10-17_final
2021-10-21 09:30:07	ga_ls7e_ard_3-2-0_103072_2021-10-21_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2021-12-03 09:11:06	ga_ls7e_ard_3-2-1_100081_2021-12-02_final
2021-12-07 08:47:36	ga_ls7e_ard_3-2-1_096085_2021-12-06_final
2021-12-09 08:30:39	ga_ls7e_ard_3-2-1_094074_2021-12-08_final
2021-12-12 10:40:09	ga_ls7e_ard_3-2-1_115074_2021-12-12_final
2022-01-13 08:56:09	ga_ls7e_ard_3-2-1_099069_2022-01-12_final
2022-02-06 09:44:26	ga_ls7e_ard_3-2-1_107072_2022-02-06_final
2022-02-08 09:33:28	ga_ls7e_ard_3-2-1_105076_2022-02-08_final
2022-02-24 09:31:52	ga_ls7e_ard_3-2-1_105076_2022-02-24_final
2022-03-18 10:33:05	ga_ls7e_ard_3-2-1_115080_2022-03-18_final
2022-03-28 07:52:40	ga_ls7e_ard_3-2-1_089083_2022-03-27_final
2022-04-05 08:35:44	ga_ls7e_ard_3-2-1_097069_2022-04-04_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years