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
1999-10-10 09:31:16	ga_ls7e_ard_3-1-0_094067_1999-10-10_final
1999-10-26 09:31:06	ga_ls7e_ard_3-1-0_094067_1999-10-26_final
2000-04-03 09:30:43	ga_ls7e_ard_3-1-0_094067_2000-04-03_final
2000-05-21 09:36:39	ga_ls7e_ard_3-1-0_094083_2000-05-21_final
2000-09-10 09:28:56	ga_ls7e_ard_3-1-0_094067_2000-09-09_final
2000-09-16 10:31:48	ga_ls7e_ard_3-1-0_104070_2000-09-16_final
2001-01-16 09:28:42	ga_ls7e_ard_3-1-0_094067_2001-01-15_final
2001-06-19 10:10:25	ga_ls7e_ard_3-1-0_100081_2001-06-19_final
2001-10-02 10:00:37	ga_ls7e_ard_3-1-0_099075_2001-10-02_final
2001-10-15 09:26:27	ga_ls7e_ard_3-1-0_094067_2001-10-14_final
2001-11-19 10:00:51	ga_ls7e_ard_3-1-0_099075_2001-11-19_final
2001-12-08 10:29:47	ga_ls7e_ard_3-1-0_104070_2001-12-08_final
2002-01-28 09:28:51	ga_ls7e_ard_3-1-0_093087_2002-01-27_final
2002-05-17 10:29:57	ga_ls7e_ard_3-1-0_104070_2002-05-17_final
2002-05-21 10:09:36	ga_ls7e_ard_3-1-0_100081_2002-05-21_final
2002-07-04 10:29:40	ga_ls7e_ard_3-1-0_104070_2002-07-04_final
2002-08-21 10:29:21	ga_ls7e_ard_3-1-0_104070_2002-08-21_final
2002-09-06 10:29:13	ga_ls7e_ard_3-1-0_104070_2002-09-06_final
2002-12-21 09:32:55	ga_ls7e_ard_3-1-0_094083_2002-12-21_final
2003-07-27 10:09:23	ga_ls7e_ard_3-1-0_100081_2003-07-27_final
2004-02-10 09:33:43	ga_ls7e_ard_3-1-0_094083_2004-02-10_final
2004-03-13 09:27:28	ga_ls7e_ard_3-1-0_094067_2004-03-12_final
2005-03-06 10:30:55	ga_ls7e_ard_3-1-0_104070_2005-03-06_final
2005-04-07 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-04-07_final
2007-01-23 10:31:30	ga_ls7e_ard_3-1-0_104070_2007-01-23_final
2007-07-21 09:28:36	ga_ls7e_ard_3-1-0_093083_2007-07-20_final
2009-11-06 09:35:06	ga_ls7e_ard_3-1-0_094083_2009-11-06_final
2010-02-19 09:29:59	ga_ls7e_ard_3-1-0_093082_2010-02-18_final
2012-01-15 09:38:38	ga_ls7e_ard_3-1-0_094083_2012-01-15_final
2012-04-10 10:35:16	ga_ls7e_ard_3-1-0_104070_2012-04-10_final
2012-05-06 09:39:11	ga_ls7e_ard_3-1-0_094083_2012-05-06_final
2013-01-11 10:17:03	ga_ls7e_ard_3-1-0_100081_2013-01-11_final
2013-11-17 09:40:48	ga_ls7e_ard_3-1-0_094083_2013-11-17_final
2014-03-15 10:38:05	ga_ls7e_ard_3-1-0_104070_2014-03-15_final
2014-03-31 10:38:12	ga_ls7e_ard_3-1-0_104070_2014-03-31_final
2014-05-18 10:42:09	ga_ls7e_ard_3-1-0_104079_2014-05-18_final
2015-04-03 10:40:19	ga_ls7e_ard_3-1-0_104070_2015-04-03_final
2017-05-20 09:47:07	ga_ls7e_ard_3-1-0_094083_2017-05-20_final
2018-05-17 10:21:05	ga_ls7e_ard_3-1-0_100081_2018-05-17_final
2019-02-03 09:38:48	ga_ls7e_ard_3-1-0_094083_2019-02-03_final
2019-02-19 09:35:56	ga_ls7e_ard_3-1-0_094077_2019-02-19_final
2019-02-22 10:05:09	ga_ls7e_ard_3-1-0_099073_2019-02-22_final
2019-02-25 10:39:09	ga_ls7e_ard_3-1-0_104081_2019-02-25_final
2019-03-01 10:11:54	ga_ls7e_ard_3-1-0_100075_2019-03-01_final
2019-03-06 10:31:29	ga_ls7e_ard_3-1-0_103078_2019-03-06_final
2019-03-06 10:32:41	ga_ls7e_ard_3-1-0_103081_2019-03-06_final
2019-03-07 09:36:14	ga_ls7e_ard_3-1-0_094079_2019-03-07_final
2019-03-21 11:26:37	ga_ls7e_ard_3-1-0_112078_2019-03-21_final
2019-03-22 10:30:58	ga_ls7e_ard_3-1-0_103078_2019-03-22_final
2019-03-29 10:34:06	ga_ls7e_ard_3-1-0_104071_2019-03-29_final
2019-04-02 10:13:14	ga_ls7e_ard_3-1-0_100081_2019-04-02_final
2019-05-29 10:02:09	ga_ls7e_ard_3-1-0_099074_2019-05-29_final
2019-08-24 10:07:20	ga_ls7e_ard_3-1-0_100080_2019-08-24_final
2019-08-25 10:48:58	ga_ls7e_ard_3-1-0_107076_2019-08-25_final
2019-09-05 10:30:21	ga_ls7e_ard_3-1-0_104077_2019-09-05_final
2019-09-13 11:19:50	ga_ls7e_ard_3-1-0_112078_2019-09-13_final
2019-09-14 10:24:34	ga_ls7e_ard_3-1-0_103079_2019-09-14_final
2019-09-21 10:29:38	ga_ls7e_ard_3-1-0_104077_2019-09-21_final
2019-09-29 11:19:08	ga_ls7e_ard_3-1-0_112078_2019-09-29_final
2019-10-01 09:26:37	ga_ls7e_ard_3-1-0_094075_2019-09-30_final
2019-10-07 10:27:22	ga_ls7e_ard_3-1-0_104073_2019-10-07_final
2019-10-07 10:27:46	ga_ls7e_ard_3-1-0_104074_2019-10-07_final
2019-10-10 09:22:04	ga_ls7e_ard_3-1-0_093080_2019-10-09_final
2019-10-16 10:23:12	ga_ls7e_ard_3-1-0_103079_2019-10-16_final
2019-10-23 10:26:42	ga_ls7e_ard_3-1-0_104073_2019-10-23_final
2019-10-23 10:29:29	ga_ls7e_ard_3-1-0_104080_2019-10-23_final
2019-11-13 10:46:17	ga_ls7e_ard_3-1-0_107078_2019-11-13_final
2019-11-13 10:47:53	ga_ls7e_ard_3-1-0_107082_2019-11-13_final
2019-11-24 10:28:26	ga_ls7e_ard_3-1-0_104081_2019-11-24_final
2019-11-27 09:19:30	ga_ls7e_ard_3-1-0_093079_2019-11-26_final
2019-12-29 09:19:05	ga_ls7e_ard_3-1-0_093082_2019-12-28_final
2019-12-31 10:43:55	ga_ls7e_ard_3-1-0_107078_2019-12-31_final
2020-01-05 09:23:42	ga_ls7e_ard_3-1-0_094079_2020-01-04_final
2020-02-21 10:15:45	ga_ls7e_ard_3-1-0_103076_2020-02-21_final
2020-03-15 10:18:42	ga_ls7e_ard_3-1-0_104071_2020-03-15_final
2020-03-15 10:20:18	ga_ls7e_ard_3-1-0_104075_2020-03-15_final
2020-03-20 10:41:21	ga_ls7e_ard_3-1-0_107082_2020-03-20_final
2020-04-04 09:53:39	ga_ls7e_ard_3-1-0_100073_2020-04-04_final
2020-04-08 11:08:47	ga_ls7e_ard_3-1-0_112076_2020-04-08_final
2020-04-09 10:13:54	ga_ls7e_ard_3-1-0_103078_2020-04-09_final
2020-04-25 10:10:11	ga_ls7e_ard_3-1-0_103071_2020-04-25_final
2020-04-25 10:11:46	ga_ls7e_ard_3-1-0_103075_2020-04-25_final
2022-03-13 08:36:35	ga_ls7e_ard_3-2-1_096081_2022-03-12_final
2022-03-13 10:14:15	ga_ls7e_ard_3-2-1_112078_2022-03-13_final
2022-03-15 10:01:42	ga_ls7e_ard_3-2-1_110078_2022-03-15_final
2022-03-17 09:48:44	ga_ls7e_ard_3-2-1_108077_2022-03-17_final
2022-03-19 09:37:22	ga_ls7e_ard_3-2-1_106080_2022-03-19_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_final
2022-03-21 09:20:50	ga_ls7e_ard_3-2-1_104070_2022-03-20_final
2022-03-21 09:24:26	ga_ls7e_ard_3-2-1_104079_2022-03-20_final
2022-03-22 08:28:43	ga_ls7e_ard_3-2-1_095079_2022-03-21_final
2022-03-23 09:10:41	ga_ls7e_ard_3-2-1_102076_2022-03-22_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_final
2022-03-29 08:32:38	ga_ls7e_ard_3-2-1_096075_2022-03-28_final
2022-03-29 08:33:02	ga_ls7e_ard_3-2-1_096076_2022-03-28_final
2022-03-29 08:34:38	ga_ls7e_ard_3-2-1_096080_2022-03-28_final
2022-03-29 08:35:02	ga_ls7e_ard_3-2-1_096081_2022-03-28_final
2022-03-29 10:12:19	ga_ls7e_ard_3-2-1_112077_2022-03-29_final
2022-03-31 08:20:53	ga_ls7e_ard_3-2-1_094077_2022-03-30_final
2022-03-31 10:00:34	ga_ls7e_ard_3-2-1_110079_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