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
1999-07-10 09:13:29	ga_ls7e_ard_3-1-0_090085_1999-07-09_final
1999-08-21 11:26:20	ga_ls7e_ard_3-1-0_112077_1999-08-21_final
1999-10-24 11:27:07	ga_ls7e_ard_3-1-0_112079_1999-10-24_final
2000-01-18 09:13:28	ga_ls7e_ard_3-1-0_090085_2000-01-17_final
2000-02-05 10:34:00	ga_ls7e_ard_3-1-0_104070_2000-02-05_final
2000-04-03 09:37:06	ga_ls7e_ard_3-1-0_094083_2000-04-03_final
2000-07-24 09:35:53	ga_ls7e_ard_3-1-0_094083_2000-07-24_final
2000-11-22 09:29:56	ga_ls7e_ard_3-1-0_093086_2000-11-21_final
2000-11-29 09:34:59	ga_ls7e_ard_3-1-0_094083_2000-11-29_final
2000-12-05 10:31:32	ga_ls7e_ard_3-1-0_104070_2000-12-05_final
2001-05-06 11:23:30	ga_ls7e_ard_3-1-0_112077_2001-05-06_final
2001-06-18 09:29:34	ga_ls7e_ard_3-1-0_093087_2001-06-17_final
2001-07-27 09:33:50	ga_ls7e_ard_3-1-0_094083_2001-07-27_final
2001-12-24 10:29:55	ga_ls7e_ard_3-1-0_104070_2001-12-24_final
2002-03-12 09:09:36	ga_ls7e_ard_3-1-0_090085_2002-03-11_final
2002-05-25 11:24:55	ga_ls7e_ard_3-1-0_112084_2002-05-25_final
2002-05-31 09:09:18	ga_ls7e_ard_3-1-0_090085_2002-05-30_final
2002-08-13 11:21:38	ga_ls7e_ard_3-1-0_112077_2002-08-13_final
2002-08-19 09:08:50	ga_ls7e_ard_3-1-0_090085_2002-08-18_final
2002-08-30 10:27:49	ga_ls7e_ard_3-1-0_103082_2002-08-30_final
2004-05-26 10:10:04	ga_ls7e_ard_3-1-0_100081_2004-05-26_final
2004-07-03 09:33:37	ga_ls7e_ard_3-1-0_094083_2004-07-03_final
2005-02-22 10:10:32	ga_ls7e_ard_3-1-0_100081_2005-02-22_final
2007-12-19 09:34:56	ga_ls7e_ard_3-1-0_094083_2007-12-19_final
2008-05-09 11:23:29	ga_ls7e_ard_3-1-0_112077_2008-05-09_final
2009-03-17 10:34:59	ga_ls7e_ard_3-1-0_104079_2009-03-17_final
2010-04-13 11:25:41	ga_ls7e_ard_3-1-0_112077_2010-04-13_final
2010-09-04 11:26:32	ga_ls7e_ard_3-1-0_112079_2010-09-04_final
2012-04-10 10:35:16	ga_ls7e_ard_3-1-0_104070_2012-04-10_final
2012-09-05 10:16:15	ga_ls7e_ard_3-1-0_100081_2012-09-05_final
2013-01-23 10:40:12	ga_ls7e_ard_3-1-0_104077_2013-01-23_final
2013-07-05 09:33:55	ga_ls7e_ard_3-1-0_093083_2013-07-05_final
2013-11-17 09:40:48	ga_ls7e_ard_3-1-0_094083_2013-11-17_final
2014-06-29 09:42:06	ga_ls7e_ard_3-1-0_094083_2014-06-29_final
2014-07-13 11:33:47	ga_ls7e_ard_3-1-0_112084_2014-07-13_final
2014-07-29 11:31:05	ga_ls7e_ard_3-1-0_112077_2014-07-29_final
2014-08-14 11:31:55	ga_ls7e_ard_3-1-0_112079_2014-08-14_final
2014-08-25 09:36:03	ga_ls7e_ard_3-1-0_093083_2014-08-25_final
2015-01-07 09:43:10	ga_ls7e_ard_3-1-0_094083_2015-01-07_final
2015-02-14 10:39:54	ga_ls7e_ard_3-1-0_104070_2015-02-14_final
2015-05-31 09:44:07	ga_ls7e_ard_3-1-0_094083_2015-05-31_final
2016-02-09 11:36:07	ga_ls7e_ard_3-1-0_112079_2016-02-09_final
2017-05-20 09:47:07	ga_ls7e_ard_3-1-0_094083_2017-05-20_final
2017-07-17 10:23:33	ga_ls7e_ard_3-1-0_100081_2017-07-17_final
2017-08-08 09:47:14	ga_ls7e_ard_3-1-0_094083_2017-08-08_final
2017-12-20 10:45:32	ga_ls7e_ard_3-1-0_104075_2017-12-20_final
2018-04-11 10:45:38	ga_ls7e_ard_3-1-0_104079_2018-04-11_final
2018-04-19 11:34:56	ga_ls7e_ard_3-1-0_112079_2018-04-19_final
2018-05-17 10:21:05	ga_ls7e_ard_3-1-0_100081_2018-05-17_final
2018-07-08 11:33:31	ga_ls7e_ard_3-1-0_112079_2018-07-08_final
2018-07-24 11:32:26	ga_ls7e_ard_3-1-0_112077_2018-07-24_final
2018-08-09 11:32:57	ga_ls7e_ard_3-1-0_112079_2018-08-09_final
2018-08-25 11:31:50	ga_ls7e_ard_3-1-0_112077_2018-08-25_final
2018-10-14 09:41:50	ga_ls7e_ard_3-1-0_094083_2018-10-14_final
2019-03-01 10:14:18	ga_ls7e_ard_3-1-0_100081_2019-03-01_final
2019-03-06 10:30:17	ga_ls7e_ard_3-1-0_103075_2019-03-06_final
2019-03-07 09:35:50	ga_ls7e_ard_3-1-0_094078_2019-03-07_final
2019-03-07 09:36:14	ga_ls7e_ard_3-1-0_094079_2019-03-07_final
2019-03-13 10:38:38	ga_ls7e_ard_3-1-0_104081_2019-03-13_final
2019-03-16 09:29:45	ga_ls7e_ard_3-1-0_093079_2019-03-15_final
2019-03-22 10:29:46	ga_ls7e_ard_3-1-0_103075_2019-03-22_final
2019-03-28 11:32:57	ga_ls7e_ard_3-1-0_113079_2019-03-28_final
2019-07-11 11:22:54	ga_ls7e_ard_3-1-0_112079_2019-07-11_final
2019-08-12 11:23:36	ga_ls7e_ard_3-1-0_112084_2019-08-12_final
2019-08-14 09:31:53	ga_ls7e_ard_3-1-0_094083_2019-08-14_final
2019-08-28 11:20:32	ga_ls7e_ard_3-1-0_112078_2019-08-28_final
2019-09-03 09:05:30	ga_ls7e_ard_3-1-0_090081_2019-09-02_final
2019-09-05 10:30:45	ga_ls7e_ard_3-1-0_104078_2019-09-05_final
2019-09-05 10:31:09	ga_ls7e_ard_3-1-0_104079_2019-09-05_final
2019-09-09 10:03:51	ga_ls7e_ard_3-1-0_100073_2019-09-09_final
2019-09-14 10:22:34	ga_ls7e_ard_3-1-0_103074_2019-09-14_final
2019-09-14 10:24:34	ga_ls7e_ard_3-1-0_103079_2019-09-14_final
2019-09-15 09:27:18	ga_ls7e_ard_3-1-0_094075_2019-09-14_final
2019-09-15 09:28:06	ga_ls7e_ard_3-1-0_094077_2019-09-14_final
2019-09-15 09:28:30	ga_ls7e_ard_3-1-0_094078_2019-09-14_final
2019-09-18 09:58:04	ga_ls7e_ard_3-1-0_099075_2019-09-18_final
2019-09-21 10:30:26	ga_ls7e_ard_3-1-0_104079_2019-09-21_final
2019-09-29 11:19:32	ga_ls7e_ard_3-1-0_112079_2019-09-29_final
2019-10-15 11:18:52	ga_ls7e_ard_3-1-0_112079_2019-10-15_final
2019-11-08 10:28:23	ga_ls7e_ard_3-1-0_104079_2019-11-08_final
2019-11-12 10:03:28	ga_ls7e_ard_3-1-0_100079_2019-11-12_final
2019-11-17 10:19:47	ga_ls7e_ard_3-1-0_103074_2019-11-17_final
2019-12-23 09:53:17	ga_ls7e_ard_3-1-0_099074_2019-12-23_final
2020-01-05 09:23:18	ga_ls7e_ard_3-1-0_094078_2020-01-04_final
2020-03-04 10:40:38	ga_ls7e_ard_3-1-0_107078_2020-03-04_final
2020-03-19 09:57:45	ga_ls7e_ard_3-1-0_100081_2020-03-19_final
2020-03-24 10:13:37	ga_ls7e_ard_3-1-0_103075_2020-03-24_final
2020-04-03 10:52:08	ga_ls7e_ard_3-1-0_109080_2020-04-03_final
2020-04-15 11:14:58	ga_ls7e_ard_3-1-0_113077_2020-04-15_final
2022-03-13 08:34:59	ga_ls7e_ard_3-2-1_096077_2022-03-12_final
2022-03-20 10:18:56	ga_ls7e_ard_3-2-1_113076_2022-03-20_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_final
2022-03-22 08:27:31	ga_ls7e_ard_3-2-1_095076_2022-03-21_final
2022-03-26 09:42:06	ga_ls7e_ard_3-2-1_107078_2022-03-26_final
2022-03-27 08:47:35	ga_ls7e_ard_3-2-1_098081_2022-03-26_final
2022-03-28 09:26:46	ga_ls7e_ard_3-2-1_105071_2022-03-27_final
2022-03-29 08:32:38	ga_ls7e_ard_3-2-1_096075_2022-03-28_final
2022-03-31 08:20:29	ga_ls7e_ard_3-2-1_094076_2022-03-30_final
2022-03-31 10:00:10	ga_ls7e_ard_3-2-1_110078_2022-03-31_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