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
1999-09-18 11:51:26	ga_ls7e_ard_3-0-0_116078_1999-09-18_final
2001-03-08 11:42:20	ga_ls7e_ard_3-1-0_115077_2001-03-08_final
2003-10-10 11:28:53	ga_ls7e_ard_3-0-0_113080_2003-10-10_final
2004-03-02 11:31:35	ga_ls7e_ard_3-0-0_113084_2004-03-02_final
2004-08-25 11:29:13	ga_ls7e_ard_3-0-0_113079_2004-08-25_final
2004-09-26 11:31:02	ga_ls7e_ard_3-0-0_113084_2004-09-26_final
2005-03-19 11:40:30	ga_ls7e_ard_3-0-0_115074_2005-03-19_final
2005-07-11 11:29:52	ga_ls7e_ard_3-0-0_113079_2005-07-11_final
2005-08-28 11:30:28	ga_ls7e_ard_3-0-0_113081_2005-08-28_final
2006-09-16 11:30:22	ga_ls7e_ard_3-0-0_113080_2006-09-16_final
2006-11-01 11:41:45	ga_ls7e_ard_3-1-0_115077_2006-11-01_final
2007-05-12 11:42:24	ga_ls7e_ard_3-1-0_115077_2007-05-12_final
2008-08-27 11:34:54	ga_ls7e_ard_3-0-0_114077_2008-08-27_final
2009-09-15 11:37:11	ga_ls7e_ard_3-0-0_114080_2009-09-15_final
2009-09-22 11:42:33	ga_ls7e_ard_3-0-0_115078_2009-09-22_final
2009-11-09 11:41:20	ga_ls7e_ard_3-0-0_115074_2009-11-09_final
2010-04-11 11:38:26	ga_ls7e_ard_3-0-0_114078_2010-04-11_final
2010-05-29 11:37:33	ga_ls7e_ard_3-0-0_114076_2010-05-29_final
2011-06-24 11:44:21	ga_ls7e_ard_3-0-0_115074_2011-06-24_final
2012-01-20 11:35:39	ga_ls7e_ard_3-0-0_113082_2012-01-20_final
2012-02-19 11:45:21	ga_ls7e_ard_3-0-0_115075_2012-02-19_final
2012-03-15 11:39:32	ga_ls7e_ard_3-0-0_114076_2012-03-15_final
2012-06-26 11:45:42	ga_ls7e_ard_3-0-0_115075_2012-06-26_final
2013-04-10 11:48:50	ga_ls7e_ard_3-0-0_115079_2013-04-10_final
2013-08-25 11:40:49	ga_ls7e_ard_3-0-0_114076_2013-08-25_final
2014-01-23 11:48:20	ga_ls7e_ard_3-0-0_115076_2014-01-23_final
2014-04-15 11:36:43	ga_ls7e_ard_3-0-0_113077_2014-04-15_final
2014-09-22 11:38:34	ga_ls7e_ard_3-0-0_113080_2014-09-22_final
2014-10-08 11:40:22	ga_ls7e_ard_3-0-0_113084_2014-10-08_final
2014-12-02 11:40:12	ga_ls7e_ard_3-0-0_114067_2014-12-02_final
2015-04-18 11:40:52	ga_ls7e_ard_3-0-0_113082_2015-04-18_final
2015-06-05 11:40:24	ga_ls7e_ard_3-0-0_113080_2015-06-05_final
2015-08-15 11:47:16	ga_ls7e_ard_3-0-0_114081_2015-08-15_final
2015-08-31 11:44:28	ga_ls7e_ard_3-0-0_114074_2015-08-31_final
2015-10-27 11:42:02	ga_ls7e_ard_3-0-0_113082_2015-10-27_final
2016-02-16 11:41:31	ga_ls7e_ard_3-0-0_113077_2016-02-16_final
2016-04-02 11:54:34	ga_ls7e_ard_3-0-0_115078_2016-04-02_final
2017-02-25 11:43:53	ga_ls7e_ard_3-0-0_114067_2017-02-25_final
2017-05-16 11:49:07	ga_ls7e_ard_3-0-0_114079_2017-05-16_final
2017-08-11 11:54:37	ga_ls7e_ard_3-0-0_115077_2017-08-11_final
2017-10-07 11:48:50	ga_ls7e_ard_3-0-0_114078_2017-10-07_final
2017-10-30 11:53:51	ga_ls7e_ard_3-0-0_115075_2017-10-30_final
2018-01-02 11:52:58	ga_ls7e_ard_3-0-0_115074_2018-01-02_final
2018-02-05 11:43:40	ga_ls7e_ard_3-0-0_113083_2018-02-05_final
2018-05-10 11:51:30	ga_ls7e_ard_3-0-0_115075_2018-05-10_final
2018-05-19 11:46:23	ga_ls7e_ard_3-0-0_114078_2018-05-19_final
2019-05-13 11:42:50	ga_ls7e_ard_3-1-0_115077_2019-05-13_final
2019-11-21 11:34:09	ga_ls7e_ard_3-1-0_115075_2019-11-21_final
2020-02-11 11:20:52	ga_ls7e_ard_3-1-0_113083_2020-02-11_final
2020-08-03 11:19:54	ga_ls7e_ard_3-1-0_115075_2020-08-03_final
2020-11-24 10:18:03	ga_ls7e_ard_3-1-0_106078_2020-11-24_final
2020-12-02 09:28:02	ga_ls7e_ard_3-1-0_098078_2020-12-01_final
2020-12-08 08:50:06	ga_ls7e_ard_3-1-0_092077_2020-12-07_final
2020-12-27 11:00:04	ga_ls7e_ard_3-1-0_113081_2020-12-27_final
2020-12-31 10:32:17	ga_ls7e_ard_3-1-0_109074_2020-12-31_final
2021-01-04 10:08:29	ga_ls7e_ard_3-1-0_105077_2021-01-04_final
2021-01-04 10:09:41	ga_ls7e_ard_3-1-0_105080_2021-01-04_final
2021-02-15 09:04:50	ga_ls7e_ard_3-2-0_095080_2021-02-14_final
2021-04-10 08:23:04	ga_ls7e_ard_3-2-0_089079_2021-04-09_final
2021-04-21 09:38:53	ga_ls7e_ard_3-2-0_102070_2021-04-21_final
2021-05-03 10:05:47	ga_ls7e_ard_3-2-0_106078_2021-05-03_final
2021-05-06 10:32:03	ga_ls7e_ard_3-2-0_111067_2021-05-06_final
2021-05-08 08:47:26	ga_ls7e_ard_3-2-0_093084_2021-05-07_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2021-06-05 09:10:10	ga_ls7e_ard_3-2-0_097085_2021-06-04_final
2021-06-08 09:39:38	ga_ls7e_ard_3-2-0_102082_2021-06-08_final
2021-06-16 08:47:09	ga_ls7e_ard_3-2-0_094076_2021-06-15_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-06-27 10:06:11	ga_ls7e_ard_3-2-0_107075_2021-06-27_final
2021-06-29 08:18:46	ga_ls7e_ard_3-2-0_089085_2021-06-28_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-07-11 10:16:10	ga_ls7e_ard_3-2-0_109072_2021-07-11_final
2021-08-24 09:00:09	ga_ls7e_ard_3-2-0_097077_2021-08-23_final
2021-08-31 09:02:09	ga_ls7e_ard_3-2-0_098068_2021-08-30_final
2021-09-06 08:31:43	ga_ls7e_ard_3-2-0_092086_2021-09-05_final
2021-10-01 08:20:55	ga_ls7e_ard_3-2-0_091080_2021-09-30_final
2021-10-07 09:20:12	ga_ls7e_ard_3-2-0_101075_2021-10-06_final
2021-10-11 10:36:00	ga_ls7e_ard_3-2-0_113080_2021-10-11_final
2021-10-12 09:37:30	ga_ls7e_ard_3-2-0_104073_2021-10-12_final
2021-10-24 08:25:51	ga_ls7e_ard_3-2-0_092082_2021-10-23_final
2021-10-27 08:53:17	ga_ls7e_ard_3-2-0_097074_2021-10-26_final
2021-10-28 09:34:27	ga_ls7e_ard_3-2-0_104069_2021-10-28_final
2021-10-29 10:22:25	ga_ls7e_ard_3-2-0_111081_2021-10-29_final
2021-10-31 08:33:23	ga_ls7e_ard_3-2-0_093087_2021-10-30_final
2021-11-03 09:00:49	ga_ls7e_ard_3-2-0_098079_2021-11-02_final
2021-11-16 10:07:56	ga_ls7e_ard_3-2-1_109080_2021-11-16_final
2021-11-17 09:10:37	ga_ls7e_ard_3-2-1_100076_2021-11-16_final
2021-11-19 10:38:56	ga_ls7e_ard_3-2-1_114081_2021-11-19_final
2021-12-08 09:25:10	ga_ls7e_ard_3-2-1_103071_2021-12-07_final
2021-12-21 08:52:37	ga_ls7e_ard_3-2-1_098070_2021-12-20_final
2022-01-03 09:58:53	ga_ls7e_ard_3-2-1_109069_2022-01-03_final
2022-01-28 09:55:30	ga_ls7e_ard_3-2-1_108082_2022-01-28_final
2022-02-08 09:33:04	ga_ls7e_ard_3-2-1_105075_2022-02-08_final
2022-02-14 08:54:09	ga_ls7e_ard_3-2-1_099072_2022-02-13_final
2022-02-23 10:27:35	ga_ls7e_ard_3-2-1_114076_2022-02-23_final
2022-03-04 08:42:28	ga_ls7e_ard_3-2-1_097078_2022-03-03_final
2022-03-06 10:10:23	ga_ls7e_ard_3-2-1_111082_2022-03-06_final
2022-03-12 07:53:49	ga_ls7e_ard_3-2-1_089082_2022-03-11_final
2022-03-15 08:21:13	ga_ls7e_ard_3-2-1_094074_2022-03-14_final
2022-04-02 09:44:25	ga_ls7e_ard_3-2-1_108070_2022-04-02_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