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
1999-07-25 11:44:50	ga_ls7e_ard_3-1-0_115077_1999-07-25_final
2000-12-18 11:43:13	ga_ls7e_ard_3-1-0_115079_2000-12-18_final
2001-05-11 11:41:10	ga_ls7e_ard_3-0-0_115075_2001-05-11_final
2002-01-06 11:39:54	ga_ls7e_ard_3-0-0_115075_2002-01-06_final
2002-09-19 11:39:46	ga_ls7e_ard_3-1-0_115077_2002-09-19_final
2002-12-08 11:39:27	ga_ls7e_ard_3-0-0_115075_2002-12-08_final
2002-12-08 11:40:15	ga_ls7e_ard_3-1-0_115077_2002-12-08_final
2003-01-25 11:40:30	ga_ls7e_ard_3-1-0_115077_2003-01-25_final
2004-09-01 11:33:46	ga_ls7e_ard_3-0-0_114075_2004-09-01_final
2005-05-31 11:36:11	ga_ls7e_ard_3-0-0_114079_2005-05-31_final
2007-11-13 11:36:43	ga_ls7e_ard_3-0-0_114079_2007-11-13_final
2007-11-20 11:41:22	ga_ls7e_ard_3-0-0_115075_2007-11-20_final
2009-08-05 11:41:25	ga_ls7e_ard_3-0-0_115075_2009-08-05_final
2011-09-05 11:38:22	ga_ls7e_ard_3-0-0_114075_2011-09-05_final
2011-11-15 11:45:10	ga_ls7e_ard_3-0-0_115076_2011-11-15_final
2012-04-07 11:44:53	ga_ls7e_ard_3-0-0_115074_2012-04-07_final
2013-03-02 11:43:34	ga_ls7e_ard_3-0-0_114081_2013-03-02_final
2013-06-06 11:40:43	ga_ls7e_ard_3-0-0_114075_2013-06-06_final
2013-09-01 11:47:29	ga_ls7e_ard_3-0-0_115077_2013-09-01_final
2013-11-29 11:41:43	ga_ls7e_ard_3-0-0_114076_2013-11-29_final
2014-06-16 11:49:48	ga_ls7e_ard_3-0-0_115078_2014-06-16_final
2014-07-18 11:49:08	ga_ls7e_ard_3-0-0_115076_2014-07-18_final
2015-11-19 11:45:48	ga_ls7e_ard_3-0-0_114075_2015-11-19_final
2015-12-05 11:46:49	ga_ls7e_ard_3-0-0_114077_2015-12-05_final
2016-04-02 11:53:22	ga_ls7e_ard_3-0-0_115075_2016-04-02_final
2016-04-02 11:54:10	ga_ls7e_ard_3-1-0_115077_2016-04-02_final
2016-12-23 11:49:24	ga_ls7e_ard_3-0-0_114080_2016-12-23_final
2017-05-07 11:54:04	ga_ls7e_ard_3-0-0_115076_2017-05-07_final
2017-05-16 11:48:43	ga_ls7e_ard_3-0-0_114078_2017-05-16_final
2017-10-07 11:47:38	ga_ls7e_ard_3-0-0_114075_2017-10-07_final
2018-10-26 11:43:11	ga_ls7e_ard_3-0-0_114078_2018-10-26_final
2019-02-06 11:45:42	ga_ls7e_ard_3-0-0_115076_2019-02-06_final
2019-06-14 11:42:27	ga_ls7e_ard_3-0-0_115079_2019-06-14_final
2019-10-29 11:30:14	ga_ls7e_ard_3-1-0_114078_2019-10-29_final
2020-03-21 11:23:46	ga_ls7e_ard_3-1-0_114080_2020-03-21_final
2020-07-02 11:22:16	ga_ls7e_ard_3-1-0_115076_2020-07-02_final
2020-11-23 09:36:27	ga_ls7e_ard_3-1-0_099082_2020-11-23_final
2020-11-25 09:19:58	ga_ls7e_ard_3-1-0_097072_2020-11-24_final
2020-11-29 08:59:21	ga_ls7e_ard_3-1-0_093083_2020-11-28_final
2020-11-29 10:37:49	ga_ls7e_ard_3-1-0_109082_2020-11-29_final
2020-12-18 09:27:37	ga_ls7e_ard_3-1-0_098080_2020-12-17_final
2020-12-18 09:28:25	ga_ls7e_ard_3-1-0_098082_2020-12-17_final
2020-12-22 10:37:53	ga_ls7e_ard_3-1-0_110071_2020-12-22_final
2021-01-10 09:32:35	ga_ls7e_ard_3-1-0_099081_2021-01-10_final
2021-02-19 08:43:24	ga_ls7e_ard_3-2-0_091089_2021-02-18_final
2021-02-19 10:18:17	ga_ls7e_ard_3-2-0_107079_2021-02-19_final
2021-02-24 08:59:34	ga_ls7e_ard_3-2-0_094084_2021-02-23_final
2021-02-25 09:37:58	ga_ls7e_ard_3-2-0_101072_2021-02-25_final
2021-03-09 08:27:39	ga_ls7e_ard_3-2-0_089084_2021-03-08_final
2021-03-31 09:26:53	ga_ls7e_ard_3-2-0_099082_2021-03-30_final
2021-04-01 08:33:35	ga_ls7e_ard_3-2-0_090088_2021-03-31_final
2021-04-04 10:38:19	ga_ls7e_ard_3-2-0_111076_2021-04-04_final
2021-04-10 08:23:28	ga_ls7e_ard_3-2-0_089080_2021-04-09_final
2021-04-12 09:49:49	ga_ls7e_ard_3-2-0_103080_2021-04-12_final
2021-04-13 10:31:00	ga_ls7e_ard_3-2-0_110075_2021-04-13_final
2021-04-20 10:39:23	ga_ls7e_ard_3-2-0_111082_2021-04-20_final
2021-04-30 09:33:08	ga_ls7e_ard_3-2-0_101073_2021-04-30_final
2021-05-07 09:42:20	ga_ls7e_ard_3-2-0_102082_2021-05-07_final
2021-05-08 08:44:38	ga_ls7e_ard_3-2-0_093077_2021-05-07_final
2021-05-17 10:14:59	ga_ls7e_ard_3-2-0_108073_2021-05-17_final
2021-06-06 09:47:46	ga_ls7e_ard_3-2-0_104071_2021-06-06_final
2021-06-12 10:51:52	ga_ls7e_ard_3-2-0_114078_2021-06-12_final
2021-06-16 08:50:21	ga_ls7e_ard_3-2-0_094084_2021-06-15_final
2021-06-16 10:24:02	ga_ls7e_ard_3-2-0_110071_2021-06-16_final
2021-06-19 09:20:36	ga_ls7e_ard_3-2-0_099083_2021-06-18_final
2021-06-20 08:24:06	ga_ls7e_ard_3-2-0_090081_2021-06-19_final
2021-07-09 10:28:18	ga_ls7e_ard_3-2-0_111071_2021-07-09_final
2021-07-23 09:04:58	ga_ls7e_ard_3-2-0_097082_2021-07-22_final
2021-07-23 10:42:39	ga_ls7e_ard_3-2-0_113079_2021-07-23_final
2021-07-25 10:28:07	ga_ls7e_ard_3-2-0_111074_2021-07-25_final
2021-08-01 08:53:12	ga_ls7e_ard_3-2-0_096070_2021-07-31_final
2021-08-01 08:59:12	ga_ls7e_ard_3-2-0_096085_2021-07-31_final
2021-08-08 09:04:45	ga_ls7e_ard_3-2-0_097085_2021-08-07_final
2021-08-21 10:11:11	ga_ls7e_ard_3-2-0_108084_2021-08-21_final
2021-08-23 08:17:23	ga_ls7e_ard_3-2-0_090078_2021-08-22_final
2021-08-26 10:29:18	ga_ls7e_ard_3-2-0_111084_2021-08-26_final
2021-09-09 09:00:22	ga_ls7e_ard_3-2-0_097081_2021-09-08_final
2021-09-11 08:49:25	ga_ls7e_ard_3-2-0_095085_2021-09-10_final
2021-09-20 08:38:03	ga_ls7e_ard_3-2-0_094074_2021-09-19_final
2021-10-04 08:52:45	ga_ls7e_ard_3-2-0_096083_2021-10-03_final
2021-10-08 08:24:54	ga_ls7e_ard_3-2-0_092076_2021-10-07_final
2021-10-13 08:45:47	ga_ls7e_ard_3-2-0_095083_2021-10-12_final
2021-10-13 10:21:28	ga_ls7e_ard_3-2-0_111075_2021-10-13_final
2021-10-25 09:09:01	ga_ls7e_ard_3-2-0_099082_2021-10-24_final
2021-11-05 08:49:03	ga_ls7e_ard_3-2-0_096081_2021-11-04_final
2021-11-07 10:12:35	ga_ls7e_ard_3-2-0_110074_2021-11-07_final
2021-11-17 09:13:01	ga_ls7e_ard_3-2-1_100082_2021-11-16_final
2021-11-18 09:53:47	ga_ls7e_ard_3-2-1_107076_2021-11-18_final
2021-11-25 10:01:16	ga_ls7e_ard_3-2-1_108081_2021-11-25_final
2021-12-09 10:09:08	ga_ls7e_ard_3-2-1_110073_2021-12-09_final
2021-12-18 08:26:48	ga_ls7e_ard_3-2-1_093082_2021-12-17_final
2021-12-22 09:38:34	ga_ls7e_ard_3-2-1_105077_2021-12-22_final
2022-01-03 08:25:36	ga_ls7e_ard_3-2-1_093083_2022-01-02_final
2022-01-25 09:24:06	ga_ls7e_ard_3-2-1_103080_2022-01-24_final
2022-01-31 10:23:43	ga_ls7e_ard_3-2-1_113076_2022-01-31_final
2022-02-04 08:21:19	ga_ls7e_ard_3-2-1_093080_2022-02-03_final
2022-02-06 08:09:57	ga_ls7e_ard_3-2-1_091083_2022-02-05_final
2022-02-19 09:12:36	ga_ls7e_ard_3-2-1_102073_2022-02-18_final
2022-03-03 09:35:47	ga_ls7e_ard_3-2-1_106072_2022-03-03_final
2022-03-11 10:26:25	ga_ls7e_ard_3-2-1_114077_2022-03-11_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