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
1999-08-19 11:37:51	ga_ls7e_ard_3-0-0_114075_1999-08-19_final
2000-01-19 11:32:49	ga_ls7e_ard_3-0-0_113078_2000-01-19_final
2000-03-05 11:45:24	ga_ls7e_ard_3-0-0_115079_2000-03-05_final
2000-07-29 11:33:38	ga_ls7e_ard_3-0-0_113084_2000-07-29_final
2000-09-06 11:35:47	ga_ls7e_ard_3-0-0_114075_2000-09-06_final
2000-10-01 11:30:29	ga_ls7e_ard_3-0-0_113078_2000-10-01_final
2000-11-02 11:30:24	ga_ls7e_ard_3-1-0_113078_2000-11-02_final
2001-05-04 11:35:29	ga_ls7e_ard_3-0-0_114076_2001-05-04_final
2001-06-21 11:36:30	ga_ls7e_ard_3-0-0_114080_2001-06-21_final
2001-09-02 11:29:06	ga_ls7e_ard_3-0-0_113079_2001-09-02_final
2001-09-25 11:33:29	ga_ls7e_ard_3-0-0_114075_2001-09-25_final
2002-01-08 11:29:35	ga_ls7e_ard_3-0-0_113080_2002-01-08_final
2002-02-09 11:29:20	ga_ls7e_ard_3-0-0_113079_2002-02-09_final
2002-02-09 11:29:44	ga_ls7e_ard_3-0-0_113080_2002-02-09_final
2002-03-13 11:29:20	ga_ls7e_ard_3-0-0_113079_2002-03-13_final
2002-03-29 11:31:15	ga_ls7e_ard_3-0-0_113084_2002-03-29_final
2002-04-05 11:35:00	ga_ls7e_ard_3-0-0_114078_2002-04-05_final
2002-04-14 11:31:14	ga_ls7e_ard_3-0-0_113084_2002-04-14_final
2002-11-24 11:28:12	ga_ls7e_ard_3-0-0_113078_2002-11-24_final
2004-09-24 11:41:25	ga_ls7e_ard_3-0-0_115079_2004-09-24_final
2005-05-31 11:34:59	ga_ls7e_ard_3-0-0_114076_2005-05-31_final
2007-06-06 11:35:41	ga_ls7e_ard_3-0-0_114076_2007-06-06_final
2008-05-23 11:31:46	ga_ls7e_ard_3-0-0_114067_2008-05-23_final
2010-03-19 11:32:36	ga_ls7e_ard_3-0-0_113079_2010-03-19_final
2010-04-04 11:31:51	ga_ls7e_ard_3-0-0_113077_2010-04-04_final
2011-06-08 11:46:24	ga_ls7e_ard_3-0-0_115079_2011-06-08_final
2011-07-12 11:33:10	ga_ls7e_ard_3-0-0_113077_2011-07-12_final
2012-01-20 11:34:03	ga_ls7e_ard_3-0-0_113078_2012-01-20_final
2012-11-19 11:36:01	ga_ls7e_ard_3-0-0_113078_2012-11-19_final
2012-12-21 11:36:10	ga_ls7e_ard_3-0-0_113078_2012-12-21_final
2013-07-24 11:40:45	ga_ls7e_ard_3-0-0_114076_2013-07-24_final
2013-09-19 11:36:07	ga_ls7e_ard_3-0-0_113079_2013-09-19_final
2014-03-21 11:44:20	ga_ls7e_ard_3-0-0_114081_2014-03-21_final
2014-06-18 11:37:26	ga_ls7e_ard_3-0-0_113078_2014-06-18_final
2014-08-21 11:37:40	ga_ls7e_ard_3-0-0_113078_2014-08-21_final
2014-11-09 11:40:41	ga_ls7e_ard_3-0-0_113084_2014-11-09_final
2015-08-08 11:40:16	ga_ls7e_ard_3-0-0_113079_2015-08-08_final
2016-04-04 11:42:37	ga_ls7e_ard_3-0-0_113079_2016-04-04_final
2016-10-13 11:42:24	ga_ls7e_ard_3-0-0_113077_2016-10-13_final
2017-04-14 11:47:46	ga_ls7e_ard_3-0-0_114076_2017-04-14_final
2018-03-25 11:41:07	ga_ls7e_ard_3-0-0_113078_2018-03-25_final
2020-10-08 11:04:05	ga_ls7e_ard_3-1-0_113077_2020-10-08_final
2020-12-08 10:28:35	ga_ls7e_ard_3-1-0_108076_2020-12-08_final
2020-12-11 11:02:27	ga_ls7e_ard_3-1-0_113084_2020-12-11_final
2020-12-13 09:09:04	ga_ls7e_ard_3-1-0_095079_2020-12-12_final
2020-12-13 10:47:57	ga_ls7e_ard_3-1-0_111079_2020-12-13_final
2021-01-22 09:55:39	ga_ls7e_ard_3-2-0_103079_2021-01-22_final
2021-01-25 10:25:32	ga_ls7e_ard_3-2-0_108077_2021-01-25_final
2021-02-16 09:47:13	ga_ls7e_ard_3-2-0_102078_2021-02-16_final
2021-02-22 10:48:34	ga_ls7e_ard_3-2-0_112078_2021-02-22_final
2021-03-04 09:46:23	ga_ls7e_ard_3-2-0_102079_2021-03-04_final
2021-03-07 10:16:39	ga_ls7e_ard_3-2-0_107078_2021-03-07_final
2021-03-19 10:40:02	ga_ls7e_ard_3-2-0_111077_2021-03-19_final
2021-03-30 10:21:00	ga_ls7e_ard_3-2-0_108078_2021-03-30_final
2021-04-10 09:58:45	ga_ls7e_ard_3-2-0_105071_2021-04-10_final
2021-04-13 08:53:43	ga_ls7e_ard_3-2-0_094079_2021-04-12_final
2021-04-20 08:57:43	ga_ls7e_ard_3-2-0_095075_2021-04-19_final
2021-04-28 09:45:40	ga_ls7e_ard_3-2-0_103073_2021-04-28_final
2021-05-08 08:45:26	ga_ls7e_ard_3-2-0_093079_2021-05-07_final
2021-05-13 10:42:02	ga_ls7e_ard_3-2-0_112078_2021-05-13_final
2021-05-14 09:46:44	ga_ls7e_ard_3-2-0_103079_2021-05-14_final
2021-05-15 08:51:02	ga_ls7e_ard_3-2-0_094079_2021-05-14_final
2021-05-21 09:50:43	ga_ls7e_ard_3-2-0_104075_2021-05-21_final
2021-05-23 09:38:35	ga_ls7e_ard_3-2-0_102076_2021-05-23_final
2021-05-28 09:58:41	ga_ls7e_ard_3-2-0_105081_2021-05-28_final
2021-05-31 08:48:27	ga_ls7e_ard_3-2-0_094076_2021-05-30_final
2021-06-05 10:45:52	ga_ls7e_ard_3-2-0_113077_2021-06-05_final
2021-06-18 10:10:43	ga_ls7e_ard_3-2-0_108069_2021-06-18_final
2021-07-01 09:41:56	ga_ls7e_ard_3-2-0_103077_2021-07-01_final
2021-07-02 10:25:54	ga_ls7e_ard_3-2-0_110079_2021-07-02_final
2021-07-08 09:47:55	ga_ls7e_ard_3-2-0_104078_2021-07-08_final
2021-07-09 10:30:17	ga_ls7e_ard_3-2-0_111076_2021-07-09_final
2021-07-27 08:38:42	ga_ls7e_ard_3-2-0_093079_2021-07-26_final
2021-08-17 08:53:47	ga_ls7e_ard_3-2-0_096075_2021-08-16_final
2021-08-23 09:57:27	ga_ls7e_ard_3-2-0_106081_2021-08-23_final
2021-08-25 09:44:08	ga_ls7e_ard_3-2-0_104079_2021-08-25_final
2021-08-25 09:44:56	ga_ls7e_ard_3-2-0_104081_2021-08-25_final
2021-08-26 08:47:37	ga_ls7e_ard_3-2-0_095077_2021-08-25_final
2021-09-08 08:16:48	ga_ls7e_ard_3-2-0_090080_2021-09-07_final
2021-09-19 09:35:21	ga_ls7e_ard_3-2-0_103078_2021-09-19_final
2021-09-21 09:23:13	ga_ls7e_ard_3-2-0_101079_2021-09-20_final
2021-09-22 10:05:35	ga_ls7e_ard_3-2-0_108077_2021-09-22_final
2021-10-01 08:20:07	ga_ls7e_ard_3-2-0_091078_2021-09-30_final
2021-10-03 09:46:28	ga_ls7e_ard_3-2-0_105078_2021-10-03_final
2021-10-04 08:49:34	ga_ls7e_ard_3-2-0_096075_2021-10-03_final
2021-10-06 08:37:26	ga_ls7e_ard_3-2-0_094076_2021-10-05_final
2021-10-14 09:26:58	ga_ls7e_ard_3-2-0_102078_2021-10-13_final
2021-10-18 09:00:41	ga_ls7e_ard_3-2-0_098075_2021-10-17_final
2021-11-04 09:41:35	ga_ls7e_ard_3-2-0_105073_2021-11-04_final
2021-12-11 10:00:58	ga_ls7e_ard_3-2-1_108084_2021-12-11_final
2021-12-18 08:25:36	ga_ls7e_ard_3-2-1_093079_2021-12-17_final
2022-01-24 08:38:33	ga_ls7e_ard_3-2-1_096074_2022-01-23_final
2022-01-26 08:26:47	ga_ls7e_ard_3-2-1_094076_2022-01-25_final
2022-02-09 10:17:49	ga_ls7e_ard_3-2-1_112079_2022-02-09_final
2022-02-11 08:24:46	ga_ls7e_ard_3-2-1_094075_2022-02-10_final
2022-02-20 09:58:10	ga_ls7e_ard_3-2-1_109079_2022-02-20_final
2022-02-24 09:33:04	ga_ls7e_ard_3-2-1_105079_2022-02-24_final
2022-02-26 09:18:31	ga_ls7e_ard_3-2-1_103074_2022-02-25_final
2022-03-24 09:54:39	ga_ls7e_ard_3-2-1_109078_2022-03-24_final
2022-04-01 09:03:15	ga_ls7e_ard_3-2-1_101075_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years