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
2002-01-28 09:27:15	ga_ls7e_ard_3-1-0_093083_2002-01-27_final
2003-08-08 10:30:01	ga_ls7e_ard_3-1-0_104071_2003-08-08_final
2003-08-24 10:30:01	ga_ls7e_ard_3-1-0_104071_2003-08-24_final
2004-05-15 10:25:50	ga_ls7e_ard_3-1-0_103074_2004-05-15_final
2005-04-23 10:34:22	ga_ls7e_ard_3-1-0_104079_2005-04-23_final
2005-05-22 10:00:43	ga_ls7e_ard_3-1-0_099072_2005-05-22_final
2005-09-01 09:27:38	ga_ls7e_ard_3-1-0_093083_2005-08-31_final
2006-09-20 09:27:56	ga_ls7e_ard_3-1-0_093083_2006-09-19_final
2006-10-19 10:30:46	ga_ls7e_ard_3-1-0_104070_2006-10-19_final
2006-11-08 10:10:44	ga_ls7e_ard_3-1-0_100081_2006-11-08_final
2007-01-11 10:11:07	ga_ls7e_ard_3-1-0_100081_2007-01-11_final
2007-03-15 09:30:09	ga_ls7e_ard_3-1-0_093086_2007-03-15_final
2007-08-22 09:28:25	ga_ls7e_ard_3-1-0_093083_2007-08-21_final
2008-03-01 09:29:02	ga_ls7e_ard_3-1-0_093084_2008-02-29_final
2008-12-30 09:28:03	ga_ls7e_ard_3-1-0_093083_2008-12-29_final
2009-05-23 09:30:28	ga_ls7e_ard_3-1-0_093087_2009-05-23_final
2009-06-05 10:31:40	ga_ls7e_ard_3-1-0_104070_2009-06-05_final
2009-06-21 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-06-21_final
2009-11-15 09:29:50	ga_ls7e_ard_3-1-0_093085_2009-11-14_final
2009-12-30 10:32:29	ga_ls7e_ard_3-1-0_104070_2009-12-30_final
2010-05-10 09:30:35	ga_ls7e_ard_3-1-0_093083_2010-05-10_final
2010-10-01 09:29:26	ga_ls7e_ard_3-1-0_093080_2010-09-30_final
2012-02-06 10:35:19	ga_ls7e_ard_3-1-0_104070_2012-02-06_final
2012-04-13 09:34:05	ga_ls7e_ard_3-1-0_093087_2012-04-13_final
2012-04-26 10:35:33	ga_ls7e_ard_3-1-0_104070_2012-04-26_final
2013-01-23 10:41:00	ga_ls7e_ard_3-1-0_104079_2013-01-23_final
2013-06-16 10:36:53	ga_ls7e_ard_3-1-0_104070_2013-06-16_final
2013-11-07 10:37:22	ga_ls7e_ard_3-1-0_104070_2013-11-07_final
2015-05-24 09:37:53	ga_ls7e_ard_3-1-0_093083_2015-05-24_final
2015-12-04 11:01:08	ga_ls7e_ard_3-1-0_107071_2015-12-04_final
2016-04-05 10:43:24	ga_ls7e_ard_3-1-0_104070_2016-04-05_final
2016-10-14 10:43:59	ga_ls7e_ard_3-1-0_104070_2016-10-14_final
2017-04-08 10:43:31	ga_ls7e_ard_3-1-0_104070_2017-04-08_final
2017-06-14 09:41:03	ga_ls7e_ard_3-1-0_093083_2017-06-14_final
2017-06-30 09:41:05	ga_ls7e_ard_3-1-0_093083_2017-06-30_final
2017-08-14 10:43:50	ga_ls7e_ard_3-1-0_104070_2017-08-14_final
2018-01-08 09:42:06	ga_ls7e_ard_3-1-0_093087_2018-01-08_final
2018-04-27 10:41:46	ga_ls7e_ard_3-1-0_104070_2018-04-27_final
2018-05-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2018-05-01_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2018-10-07 09:35:50	ga_ls7e_ard_3-1-0_093083_2018-10-07_final
2019-02-09 10:38:50	ga_ls7e_ard_3-1-0_104079_2019-02-09_final
2019-02-18 10:32:47	ga_ls7e_ard_3-1-0_103080_2019-02-18_final
2019-02-22 10:05:57	ga_ls7e_ard_3-1-0_099075_2019-02-22_final
2019-03-02 10:53:56	ga_ls7e_ard_3-1-0_107072_2019-03-02_final
2019-03-06 10:31:29	ga_ls7e_ard_3-1-0_103078_2019-03-06_final
2019-03-10 10:07:02	ga_ls7e_ard_3-1-0_099079_2019-03-10_final
2019-03-13 10:33:51	ga_ls7e_ard_3-1-0_104069_2019-03-13_final
2019-03-18 10:53:49	ga_ls7e_ard_3-1-0_107073_2019-03-18_final
2019-08-24 10:05:44	ga_ls7e_ard_3-1-0_100076_2019-08-24_final
2019-08-29 10:24:52	ga_ls7e_ard_3-1-0_103078_2019-08-29_final
2019-09-18 10:01:40	ga_ls7e_ard_3-1-0_099084_2019-09-18_final
2019-09-26 10:45:10	ga_ls7e_ard_3-1-0_107070_2019-09-26_final
2019-10-11 10:04:05	ga_ls7e_ard_3-1-0_100077_2019-10-11_final
2019-10-11 10:04:29	ga_ls7e_ard_3-1-0_100078_2019-10-11_final
2019-10-12 10:46:30	ga_ls7e_ard_3-1-0_107075_2019-10-12_final
2019-10-16 10:19:13	ga_ls7e_ard_3-1-0_103069_2019-10-16_final
2019-10-16 10:20:49	ga_ls7e_ard_3-1-0_103073_2019-10-16_final
2019-10-23 10:27:06	ga_ls7e_ard_3-1-0_104074_2019-10-23_final
2019-10-23 10:27:30	ga_ls7e_ard_3-1-0_104075_2019-10-23_final
2019-10-28 10:45:25	ga_ls7e_ard_3-1-0_107074_2019-10-28_final
2019-11-01 10:22:07	ga_ls7e_ard_3-1-0_103078_2019-11-01_final
2019-11-05 09:58:25	ga_ls7e_ard_3-1-0_099081_2019-11-05_final
2019-11-05 09:59:36	ga_ls7e_ard_3-1-0_099084_2019-11-05_final
2019-11-17 10:19:23	ga_ls7e_ard_3-1-0_103073_2019-11-17_final
2019-11-17 10:20:35	ga_ls7e_ard_3-1-0_103076_2019-11-17_final
2019-11-21 09:54:29	ga_ls7e_ard_3-1-0_099073_2019-11-21_final
2019-11-21 09:55:17	ga_ls7e_ard_3-1-0_099075_2019-11-21_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-11-28 10:00:19	ga_ls7e_ard_3-1-0_100073_2019-11-28_final
2019-12-10 10:24:27	ga_ls7e_ard_3-1-0_104073_2019-12-10_final
2019-12-29 09:19:53	ga_ls7e_ard_3-1-0_093084_2019-12-28_final
2019-12-30 09:59:54	ga_ls7e_ard_3-1-0_100076_2019-12-30_final
2020-01-04 10:18:11	ga_ls7e_ard_3-1-0_103076_2020-01-04_final
2020-01-14 09:17:29	ga_ls7e_ard_3-1-0_093080_2020-01-13_final
2020-01-15 09:59:05	ga_ls7e_ard_3-1-0_100076_2020-01-15_final
2020-01-31 10:00:18	ga_ls7e_ard_3-1-0_100081_2020-01-31_final
2020-02-05 10:14:35	ga_ls7e_ard_3-1-0_103071_2020-02-05_final
2020-02-09 09:50:28	ga_ls7e_ard_3-1-0_099073_2020-02-09_final
2020-02-09 09:51:16	ga_ls7e_ard_3-1-0_099075_2020-02-09_final
2020-02-16 09:57:05	ga_ls7e_ard_3-1-0_100075_2020-02-16_final
2020-02-21 10:14:33	ga_ls7e_ard_3-1-0_103073_2020-02-21_final
2020-02-28 10:21:10	ga_ls7e_ard_3-1-0_104075_2020-02-28_final
2020-03-12 09:51:57	ga_ls7e_ard_3-1-0_099081_2020-03-12_final
2020-03-15 10:20:42	ga_ls7e_ard_3-1-0_104076_2020-03-15_final
2020-03-18 09:14:57	ga_ls7e_ard_3-1-0_093082_2020-03-17_final
2020-03-20 10:37:22	ga_ls7e_ard_3-1-0_107072_2020-03-20_final
2020-03-28 09:51:28	ga_ls7e_ard_3-1-0_099082_2020-03-28_final
2020-04-16 10:18:05	ga_ls7e_ard_3-1-0_104074_2020-04-16_final
2020-04-19 09:10:20	ga_ls7e_ard_3-1-0_093075_2020-04-18_final
2020-04-19 09:13:31	ga_ls7e_ard_3-1-0_093083_2020-04-18_final
2020-04-29 09:49:36	ga_ls7e_ard_3-1-0_099082_2020-04-29_final
2022-03-13 10:12:40	ga_ls7e_ard_3-2-1_112074_2022-03-13_final
2022-03-20 10:18:09	ga_ls7e_ard_3-2-1_113074_2022-03-20_final
2022-03-27 08:44:00	ga_ls7e_ard_3-2-1_098072_2022-03-26_final
2022-03-28 09:26:22	ga_ls7e_ard_3-2-1_105070_2022-03-27_final
2022-03-30 09:13:25	ga_ls7e_ard_3-2-1_103069_2022-03-29_final
2022-03-31 08:19:17	ga_ls7e_ard_3-2-1_094073_2022-03-30_final
2022-04-01 09:02:51	ga_ls7e_ard_3-2-1_101074_2022-03-31_final
2022-04-04 09:34:39	ga_ls7e_ard_3-2-1_106077_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years