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
1999-08-29 10:34:10	ga_ls7e_ard_3-1-0_104070_1999-08-29_final
1999-09-30 10:34:15	ga_ls7e_ard_3-1-0_104070_1999-09-30_final
1999-10-16 10:34:12	ga_ls7e_ard_3-1-0_104070_1999-10-16_final
1999-11-05 10:13:47	ga_ls7e_ard_3-1-0_100081_1999-11-05_final
2000-06-12 10:33:05	ga_ls7e_ard_3-1-0_104070_2000-06-12_final
2000-12-15 09:28:38	ga_ls7e_ard_3-1-0_094067_2000-12-14_final
2001-02-23 10:31:36	ga_ls7e_ard_3-1-0_104070_2001-02-23_final
2001-11-06 10:29:37	ga_ls7e_ard_3-1-0_104070_2001-11-06_final
2002-05-01 10:30:04	ga_ls7e_ard_3-1-0_104070_2002-05-01_final
2002-07-24 10:10:20	ga_ls7e_ard_3-1-0_100084_2002-07-24_final
2002-08-05 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-08-05_final
2002-08-09 10:10:16	ga_ls7e_ard_3-1-0_100084_2002-08-09_final
2002-11-19 09:26:17	ga_ls7e_ard_3-1-0_094067_2002-11-18_final
2003-10-15 10:09:03	ga_ls7e_ard_3-1-0_100081_2003-10-15_final
2005-02-12 09:27:48	ga_ls7e_ard_3-1-0_094067_2005-02-11_final
2005-02-18 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-02-18_final
2006-08-03 09:26:55	ga_ls7e_ard_3-1-0_093080_2006-08-02_final
2006-11-04 10:31:01	ga_ls7e_ard_3-1-0_104070_2006-11-04_final
2007-07-06 10:11:07	ga_ls7e_ard_3-1-0_100081_2007-07-06_final
2007-08-19 10:31:14	ga_ls7e_ard_3-1-0_104070_2007-08-19_final
2008-04-02 09:29:47	ga_ls7e_ard_3-1-0_093086_2008-04-01_final
2008-04-15 10:31:21	ga_ls7e_ard_3-1-0_104070_2008-04-15_final
2008-11-03 09:27:13	ga_ls7e_ard_3-1-0_094067_2008-11-02_final
2010-02-20 10:12:51	ga_ls7e_ard_3-1-0_100081_2010-02-20_final
2010-11-02 09:30:58	ga_ls7e_ard_3-1-0_093083_2010-11-02_final
2010-11-18 09:30:00	ga_ls7e_ard_3-1-0_093080_2010-11-18_final
2010-12-01 10:34:08	ga_ls7e_ard_3-1-0_104070_2010-12-01_final
2011-07-29 10:38:18	ga_ls7e_ard_3-1-0_104079_2011-07-29_final
2013-01-23 10:39:24	ga_ls7e_ard_3-1-0_104075_2013-01-23_final
2013-02-28 10:17:02	ga_ls7e_ard_3-1-0_100081_2013-02-28_final
2013-05-03 10:16:48	ga_ls7e_ard_3-1-0_100081_2013-05-03_final
2014-01-13 09:36:33	ga_ls7e_ard_3-1-0_093087_2014-01-13_final
2014-12-12 10:39:40	ga_ls7e_ard_3-1-0_104070_2014-12-12_final
2015-08-19 09:44:28	ga_ls7e_ard_3-1-0_094083_2015-08-19_final
2016-02-21 10:22:46	ga_ls7e_ard_3-1-0_100081_2016-02-21_final
2016-10-02 10:23:39	ga_ls7e_ard_3-1-0_100081_2016-10-02_final
2016-12-27 09:46:58	ga_ls7e_ard_3-1-0_094083_2016-12-27_final
2017-08-18 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-08-18_final
2017-09-15 10:47:24	ga_ls7e_ard_3-1-0_104079_2017-09-15_final
2018-01-05 10:45:20	ga_ls7e_ard_3-1-0_104075_2018-01-05_final
2018-06-24 09:42:57	ga_ls7e_ard_3-1-0_094080_2018-06-24_final
2019-01-28 10:15:16	ga_ls7e_ard_3-1-0_100081_2019-01-28_final
2019-02-18 10:30:47	ga_ls7e_ard_3-1-0_103075_2019-02-18_final
2019-02-22 10:05:33	ga_ls7e_ard_3-1-0_099074_2019-02-22_final
2019-02-22 10:05:57	ga_ls7e_ard_3-1-0_099075_2019-02-22_final
2019-03-02 10:56:20	ga_ls7e_ard_3-1-0_107078_2019-03-02_final
2019-03-06 10:31:53	ga_ls7e_ard_3-1-0_103079_2019-03-06_final
2019-03-10 10:08:38	ga_ls7e_ard_3-1-0_099083_2019-03-10_final
2019-03-22 10:32:09	ga_ls7e_ard_3-1-0_103081_2019-03-22_final
2019-03-29 10:34:30	ga_ls7e_ard_3-1-0_104072_2019-03-29_final
2019-03-29 10:36:54	ga_ls7e_ard_3-1-0_104078_2019-03-29_final
2019-04-14 10:33:09	ga_ls7e_ard_3-1-0_104070_2019-04-14_final
2019-07-23 10:09:03	ga_ls7e_ard_3-1-0_100081_2019-07-23_final
2019-07-29 09:30:08	ga_ls7e_ard_3-1-0_094077_2019-07-29_final
2019-08-24 10:05:21	ga_ls7e_ard_3-1-0_100075_2019-08-24_final
2019-08-30 09:29:36	ga_ls7e_ard_3-1-0_094079_2019-08-29_final
2019-09-02 09:58:23	ga_ls7e_ard_3-1-0_099074_2019-09-02_final
2019-09-05 10:29:33	ga_ls7e_ard_3-1-0_104075_2019-09-05_final
2019-09-10 10:47:04	ga_ls7e_ard_3-1-0_107073_2019-09-10_final
2019-09-10 10:49:04	ga_ls7e_ard_3-1-0_107078_2019-09-10_final
2019-09-18 09:58:28	ga_ls7e_ard_3-1-0_099076_2019-09-18_final
2019-09-21 10:29:14	ga_ls7e_ard_3-1-0_104076_2019-09-21_final
2019-09-21 10:30:02	ga_ls7e_ard_3-1-0_104078_2019-09-21_final
2019-09-30 10:22:40	ga_ls7e_ard_3-1-0_103076_2019-09-30_final
2019-10-07 10:29:22	ga_ls7e_ard_3-1-0_104078_2019-10-07_final
2019-10-07 10:29:46	ga_ls7e_ard_3-1-0_104079_2019-10-07_final
2019-10-11 10:05:41	ga_ls7e_ard_3-1-0_100081_2019-10-11_final
2019-10-12 10:47:42	ga_ls7e_ard_3-1-0_107078_2019-10-12_final
2019-10-26 09:22:10	ga_ls7e_ard_3-1-0_093082_2019-10-25_final
2019-10-27 10:04:36	ga_ls7e_ard_3-1-0_100080_2019-10-27_final
2019-10-28 10:47:01	ga_ls7e_ard_3-1-0_107078_2019-10-28_final
2019-11-11 09:20:40	ga_ls7e_ard_3-1-0_093080_2019-11-10_final
2019-11-17 10:19:47	ga_ls7e_ard_3-1-0_103074_2019-11-17_final
2019-11-18 09:26:31	ga_ls7e_ard_3-1-0_094080_2019-11-17_final
2019-11-24 10:25:38	ga_ls7e_ard_3-1-0_104074_2019-11-24_final
2019-12-03 10:21:01	ga_ls7e_ard_3-1-0_103079_2019-12-03_final
2019-12-04 09:25:21	ga_ls7e_ard_3-1-0_094079_2019-12-03_final
2019-12-14 10:00:20	ga_ls7e_ard_3-1-0_100075_2019-12-14_final
2020-01-04 10:17:47	ga_ls7e_ard_3-1-0_103075_2020-01-04_final
2020-01-21 09:22:07	ga_ls7e_ard_3-1-0_094077_2020-01-20_final
2020-02-01 10:42:18	ga_ls7e_ard_3-1-0_107078_2020-02-01_final
2020-02-16 09:59:04	ga_ls7e_ard_3-1-0_100080_2020-02-16_final
2020-03-08 10:14:30	ga_ls7e_ard_3-1-0_103075_2020-03-08_final
2020-03-08 10:15:42	ga_ls7e_ard_3-1-0_103078_2020-03-08_final
2020-03-12 09:49:10	ga_ls7e_ard_3-1-0_099074_2020-03-12_final
2020-03-20 10:39:45	ga_ls7e_ard_3-1-0_107078_2020-03-20_final
2020-03-28 09:48:16	ga_ls7e_ard_3-1-0_099074_2020-03-28_final
2020-03-31 10:17:01	ga_ls7e_ard_3-1-0_104069_2020-03-31_final
2020-03-31 10:17:24	ga_ls7e_ard_3-1-0_104070_2020-03-31_final
2020-04-05 10:36:52	ga_ls7e_ard_3-1-0_107073_2020-04-05_final
2020-04-05 10:38:51	ga_ls7e_ard_3-1-0_107078_2020-04-05_final
2020-04-16 10:16:29	ga_ls7e_ard_3-1-0_104070_2020-04-16_final
2020-04-29 09:46:25	ga_ls7e_ard_3-1-0_099074_2020-04-29_final
2022-03-13 10:13:52	ga_ls7e_ard_3-2-1_112077_2022-03-13_final
2022-03-17 09:46:44	ga_ls7e_ard_3-2-1_108072_2022-03-17_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-24 08:15:46	ga_ls7e_ard_3-2-1_093078_2022-03-23_final
2022-03-29 08:35:26	ga_ls7e_ard_3-2-1_096082_2022-03-28_final
2022-03-29 10:13:07	ga_ls7e_ard_3-2-1_112079_2022-03-29_final
2022-03-30 09:14:12	ga_ls7e_ard_3-2-1_103071_2022-03-29_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