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
1999-10-22 11:37:28	ga_ls7e_ard_3-0-0_114074_1999-10-22_final
2000-01-17 11:44:24	ga_ls7e_ard_3-0-0_115076_2000-01-17_final
2000-04-22 11:43:06	ga_ls7e_ard_3-0-0_115074_2000-04-22_final
2000-07-11 11:42:18	ga_ls7e_ard_3-0-0_115074_2000-07-11_final
2000-07-27 11:44:00	ga_ls7e_ard_3-0-0_115079_2000-07-27_final
2000-11-25 11:34:58	ga_ls7e_ard_3-0-0_114074_2000-11-25_final
2001-01-28 11:35:09	ga_ls7e_ard_3-0-0_114074_2001-01-28_final
2001-03-24 11:41:00	ga_ls7e_ard_3-0-0_115074_2001-03-24_final
2002-02-07 11:41:41	ga_ls7e_ard_3-0-0_115079_2002-02-07_final
2002-07-10 11:34:37	ga_ls7e_ard_3-0-0_114078_2002-07-10_final
2002-10-14 11:34:18	ga_ls7e_ard_3-0-0_114079_2002-10-14_final
2003-01-02 11:30:10	ga_ls7e_ard_3-0-0_114067_2003-01-02_final
2003-02-26 11:40:15	ga_ls7e_ard_3-0-0_115076_2003-02-26_final
2003-03-07 11:34:58	ga_ls7e_ard_3-0-0_114078_2003-03-07_final
2005-04-29 11:31:25	ga_ls7e_ard_3-0-0_114067_2005-04-29_final
2005-07-18 11:36:03	ga_ls7e_ard_3-0-0_114079_2005-07-18_final
2007-07-17 11:31:26	ga_ls7e_ard_3-0-0_113081_2007-07-17_final
2008-09-21 11:29:41	ga_ls7e_ard_3-0-0_113080_2008-09-21_final
2009-04-24 11:32:13	ga_ls7e_ard_3-0-0_114067_2009-04-24_final
2009-12-29 11:32:05	ga_ls7e_ard_3-0-0_113080_2009-12-29_final
2010-05-13 11:37:57	ga_ls7e_ard_3-0-0_114077_2010-05-13_final
2012-02-05 11:35:19	ga_ls7e_ard_3-0-0_113081_2012-02-05_final
2012-07-12 11:47:33	ga_ls7e_ard_3-0-0_115079_2012-07-12_final
2012-09-16 11:37:52	ga_ls7e_ard_3-0-0_113084_2012-09-16_final
2013-04-03 11:43:28	ga_ls7e_ard_3-0-0_114081_2013-04-03_final
2013-07-08 11:41:15	ga_ls7e_ard_3-0-0_114077_2013-07-08_final
2013-08-02 11:36:30	ga_ls7e_ard_3-0-0_113081_2013-08-02_final
2013-09-17 11:47:16	ga_ls7e_ard_3-0-0_115076_2013-09-17_final
2013-09-26 11:42:22	ga_ls7e_ard_3-0-0_114079_2013-09-26_final
2013-10-19 11:47:39	ga_ls7e_ard_3-0-0_115076_2013-10-19_final
2014-01-09 11:38:04	ga_ls7e_ard_3-0-0_113082_2014-01-09_final
2014-08-12 11:43:05	ga_ls7e_ard_3-0-0_114076_2014-08-12_final
2015-06-12 11:45:02	ga_ls7e_ard_3-0-0_114076_2015-06-12_final
2015-07-05 11:52:29	ga_ls7e_ard_3-0-0_115079_2015-07-05_final
2016-11-14 11:44:59	ga_ls7e_ard_3-0-0_113084_2016-11-14_final
2017-09-30 11:43:50	ga_ls7e_ard_3-0-0_113081_2017-09-30_final
2018-05-03 11:46:39	ga_ls7e_ard_3-0-0_114078_2018-05-03_final
2018-07-22 11:44:26	ga_ls7e_ard_3-0-0_114076_2018-07-22_final
2019-02-08 11:36:29	ga_ls7e_ard_3-0-0_113084_2019-02-08_final
2019-03-28 11:34:09	ga_ls7e_ard_3-1-0_113082_2019-03-28_final
2020-12-04 09:14:19	ga_ls7e_ard_3-1-0_096075_2020-12-03_final
2020-12-06 10:42:41	ga_ls7e_ard_3-1-0_110080_2020-12-06_final
2020-12-19 10:10:24	ga_ls7e_ard_3-1-0_105079_2020-12-19_final
2020-12-27 10:58:04	ga_ls7e_ard_3-1-0_113076_2020-12-27_final
2021-01-07 10:41:34	ga_ls7e_ard_3-1-0_110083_2021-01-07_final
2021-02-07 09:53:16	ga_ls7e_ard_3-2-0_103076_2021-02-07_final
2021-02-10 08:46:40	ga_ls7e_ard_3-2-0_092080_2021-02-09_final
2021-02-24 08:57:34	ga_ls7e_ard_3-2-0_094079_2021-02-23_final
2021-02-27 09:26:39	ga_ls7e_ard_3-2-0_099075_2021-02-26_final
2021-03-01 10:53:24	ga_ls7e_ard_3-2-0_113076_2021-03-01_final
2021-03-05 08:49:30	ga_ls7e_ard_3-2-0_093076_2021-03-04_final
2021-03-16 10:09:46	ga_ls7e_ard_3-2-0_106078_2021-03-16_final
2021-03-21 10:28:42	ga_ls7e_ard_3-2-0_109080_2021-03-21_final
2021-03-28 10:33:31	ga_ls7e_ard_3-2-0_110078_2021-03-28_final
2021-04-13 10:32:12	ga_ls7e_ard_3-2-0_110078_2021-04-13_final
2021-04-15 10:17:40	ga_ls7e_ard_3-2-0_108073_2021-04-15_final
2021-04-17 10:06:44	ga_ls7e_ard_3-2-0_106077_2021-04-17_final
2021-04-27 10:42:34	ga_ls7e_ard_3-2-0_112076_2021-04-27_final
2021-04-30 09:32:45	ga_ls7e_ard_3-2-0_101072_2021-04-30_final
2021-05-06 09:00:21	ga_ls7e_ard_3-2-0_095085_2021-05-05_final
2021-05-06 10:36:50	ga_ls7e_ard_3-2-0_111079_2021-05-06_final
2021-05-26 10:10:25	ga_ls7e_ard_3-2-0_107079_2021-05-26_final
2021-05-30 09:43:46	ga_ls7e_ard_3-2-0_103075_2021-05-30_final
2021-06-05 10:46:16	ga_ls7e_ard_3-2-0_113078_2021-06-05_final
2021-06-12 09:11:24	ga_ls7e_ard_3-2-0_098074_2021-06-11_final
2021-06-12 09:12:12	ga_ls7e_ard_3-2-0_098076_2021-06-11_final
2021-06-18 08:35:02	ga_ls7e_ard_3-2-0_092077_2021-06-17_final
2021-06-21 09:05:41	ga_ls7e_ard_3-2-0_097077_2021-06-20_final
2021-06-25 08:43:25	ga_ls7e_ard_3-2-0_093084_2021-06-24_final
2021-07-04 10:12:10	ga_ls7e_ard_3-2-0_108076_2021-07-04_final
2021-07-10 09:34:59	ga_ls7e_ard_3-2-0_102077_2021-07-10_final
2021-07-11 10:18:10	ga_ls7e_ard_3-2-0_109077_2021-07-11_final
2021-07-16 10:36:40	ga_ls7e_ard_3-2-0_112078_2021-07-16_final
2021-07-24 09:46:56	ga_ls7e_ard_3-2-0_104079_2021-07-24_final
2021-08-03 10:23:32	ga_ls7e_ard_3-2-0_110080_2021-08-03_final
2021-08-09 09:41:32	ga_ls7e_ard_3-2-0_104069_2021-08-09_final
2021-08-17 08:55:22	ga_ls7e_ard_3-2-0_096079_2021-08-16_final
2021-08-26 08:49:13	ga_ls7e_ard_3-2-0_095081_2021-08-25_final
2021-09-02 08:55:36	ga_ls7e_ard_3-2-0_096083_2021-09-01_final
2021-09-06 08:27:44	ga_ls7e_ard_3-2-0_092076_2021-09-05_final
2021-09-08 08:17:59	ga_ls7e_ard_3-2-0_090083_2021-09-07_final
2021-09-18 08:54:11	ga_ls7e_ard_3-2-0_096083_2021-09-17_final
2021-09-19 09:36:57	ga_ls7e_ard_3-2-0_103082_2021-09-19_final
2021-09-22 08:26:43	ga_ls7e_ard_3-2-0_092077_2021-09-21_final
2021-09-25 08:55:45	ga_ls7e_ard_3-2-0_097073_2021-09-24_final
2021-09-29 10:11:32	ga_ls7e_ard_3-2-0_109078_2021-09-29_final
2021-10-04 08:49:10	ga_ls7e_ard_3-2-0_096074_2021-10-03_final
2021-10-11 08:58:19	ga_ls7e_ard_3-2-0_097083_2021-10-10_final
2021-10-12 09:35:54	ga_ls7e_ard_3-2-0_104069_2021-10-12_final
2021-10-22 08:35:36	ga_ls7e_ard_3-2-0_094075_2021-10-21_final
2021-10-25 09:05:26	ga_ls7e_ard_3-2-0_099073_2021-10-24_final
2021-10-26 09:48:12	ga_ls7e_ard_3-2-0_106072_2021-10-26_final
2021-10-26 09:50:59	ga_ls7e_ard_3-2-0_106079_2021-10-26_final
2021-11-10 09:04:19	ga_ls7e_ard_3-2-0_099074_2021-11-09_final
2021-12-18 10:04:29	ga_ls7e_ard_3-2-1_109079_2021-12-18_final
2021-12-25 08:31:06	ga_ls7e_ard_3-2-1_094079_2021-12-24_final
2021-12-30 10:28:01	ga_ls7e_ard_3-2-1_113079_2021-12-30_final
2022-01-10 10:08:24	ga_ls7e_ard_3-2-1_110079_2022-01-10_final
2022-02-26 09:18:07	ga_ls7e_ard_3-2-1_103073_2022-02-25_final
2022-02-27 08:26:24	ga_ls7e_ard_3-2-1_094083_2022-02-26_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