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
1999-07-09 11:44:47	ga_ls7e_ard_3-0-0_115077_1999-07-09_final
1999-09-04 11:39:10	ga_ls7e_ard_3-0-0_114078_1999-09-04_final
2000-01-10 11:39:28	ga_ls7e_ard_3-0-0_114079_2000-01-10_final
2000-01-10 11:39:52	ga_ls7e_ard_3-0-0_114080_2000-01-10_final
2000-10-08 11:36:13	ga_ls7e_ard_3-0-0_114077_2000-10-08_final
2001-03-24 11:42:11	ga_ls7e_ard_3-1-0_115077_2001-03-24_final
2002-02-23 11:40:54	ga_ls7e_ard_3-1-0_115077_2002-02-23_final
2003-05-01 11:40:46	ga_ls7e_ard_3-1-0_115077_2003-05-01_final
2004-10-10 11:40:07	ga_ls7e_ard_3-0-0_115076_2004-10-10_final
2007-05-05 11:37:27	ga_ls7e_ard_3-0-0_114080_2007-05-05_final
2007-12-15 11:36:56	ga_ls7e_ard_3-0-0_114079_2007-12-15_final
2010-01-21 11:37:01	ga_ls7e_ard_3-0-0_114076_2010-01-21_final
2010-06-14 11:39:09	ga_ls7e_ard_3-0-0_114080_2010-06-14_final
2010-07-16 11:38:50	ga_ls7e_ard_3-0-0_114079_2010-07-16_final
2011-06-01 11:38:38	ga_ls7e_ard_3-0-0_114075_2011-06-01_final
2012-09-07 11:42:00	ga_ls7e_ard_3-0-0_114079_2012-09-07_final
2012-11-10 11:41:42	ga_ls7e_ard_3-0-0_114077_2012-11-10_final
2013-07-08 11:40:27	ga_ls7e_ard_3-0-0_114075_2013-07-08_final
2014-07-11 11:44:33	ga_ls7e_ard_3-0-0_114080_2014-07-11_final
2014-08-03 11:48:51	ga_ls7e_ard_3-0-0_115075_2014-08-03_final
2015-07-05 11:51:41	ga_ls7e_ard_3-0-0_115077_2015-07-05_final
2016-02-07 11:47:16	ga_ls7e_ard_3-0-0_114076_2016-02-07_final
2017-03-20 11:55:00	ga_ls7e_ard_3-0-0_115079_2017-03-20_final
2018-09-24 11:43:08	ga_ls7e_ard_3-0-0_114076_2018-09-24_final
2018-12-13 11:41:12	ga_ls7e_ard_3-0-0_114076_2018-12-13_final
2019-03-19 11:39:02	ga_ls7e_ard_3-1-0_114078_2019-03-19_final
2020-05-08 11:20:34	ga_ls7e_ard_3-1-0_114079_2020-05-08_final
2020-11-28 09:53:26	ga_ls7e_ard_3-1-0_102079_2020-11-28_final
2020-12-04 09:15:07	ga_ls7e_ard_3-1-0_096077_2020-12-03_final
2020-12-06 09:02:37	ga_ls7e_ard_3-1-0_094077_2020-12-05_final
2020-12-09 09:32:05	ga_ls7e_ard_3-1-0_099074_2020-12-09_final
2020-12-11 09:23:10	ga_ls7e_ard_3-1-0_097083_2020-12-10_final
2020-12-16 09:37:44	ga_ls7e_ard_3-1-0_100074_2020-12-16_final
2020-12-20 10:54:47	ga_ls7e_ard_3-1-0_112082_2020-12-20_final
2020-12-22 10:41:28	ga_ls7e_ard_3-1-0_110080_2020-12-22_final
2020-12-29 10:47:58	ga_ls7e_ard_3-1-0_111082_2020-12-29_final
2020-12-31 10:30:41	ga_ls7e_ard_3-1-0_109070_2020-12-31_final
2021-01-07 10:39:10	ga_ls7e_ard_3-1-0_110077_2021-01-07_final
2021-01-09 08:49:47	ga_ls7e_ard_3-1-0_092082_2021-01-08_final
2021-01-14 09:08:46	ga_ls7e_ard_3-1-0_095084_2021-01-13_final
2021-01-23 08:58:45	ga_ls7e_ard_3-2-0_094076_2021-01-22_final
2021-02-02 09:37:06	ga_ls7e_ard_3-2-0_100081_2021-02-02_final
2021-02-07 09:53:16	ga_ls7e_ard_3-2-0_103076_2021-02-07_final
2021-02-14 10:00:32	ga_ls7e_ard_3-2-0_104080_2021-02-14_final
2021-02-17 08:51:07	ga_ls7e_ard_3-2-0_093077_2021-02-16_final
2021-02-24 10:36:03	ga_ls7e_ard_3-2-0_110078_2021-02-24_final
2021-03-08 09:20:10	ga_ls7e_ard_3-2-0_098076_2021-03-07_final
2021-03-19 10:39:38	ga_ls7e_ard_3-2-0_111076_2021-03-19_final
2021-05-05 09:52:28	ga_ls7e_ard_3-2-0_104076_2021-05-05_final
2021-05-11 10:55:22	ga_ls7e_ard_3-2-0_114080_2021-05-11_final
2021-05-17 08:39:18	ga_ls7e_ard_3-2-0_092081_2021-05-16_final
2021-05-23 09:37:47	ga_ls7e_ard_3-2-0_102074_2021-05-23_final
2021-05-24 08:42:53	ga_ls7e_ard_3-2-0_093076_2021-05-23_final
2021-05-31 08:51:39	ga_ls7e_ard_3-2-0_094084_2021-05-30_final
2021-06-09 08:42:44	ga_ls7e_ard_3-2-0_093079_2021-06-08_final
2021-06-27 08:28:30	ga_ls7e_ard_3-2-0_091078_2021-06-26_final
2021-06-27 10:07:47	ga_ls7e_ard_3-2-0_107079_2021-06-27_final
2021-06-29 09:54:27	ga_ls7e_ard_3-2-0_105077_2021-06-29_final
2021-07-04 10:13:22	ga_ls7e_ard_3-2-0_108079_2021-07-04_final
2021-07-08 09:47:07	ga_ls7e_ard_3-2-0_104076_2021-07-08_final
2021-07-08 09:47:31	ga_ls7e_ard_3-2-0_104077_2021-07-08_final
2021-07-17 09:41:46	ga_ls7e_ard_3-2-0_103080_2021-07-17_final
2021-07-28 09:19:29	ga_ls7e_ard_3-2-0_100073_2021-07-27_final
2021-07-30 09:07:44	ga_ls7e_ard_3-2-0_098075_2021-07-29_final
2021-07-31 09:49:19	ga_ls7e_ard_3-2-0_105071_2021-07-31_final
2021-08-02 09:36:47	ga_ls7e_ard_3-2-0_103071_2021-08-02_final
2021-08-03 10:23:32	ga_ls7e_ard_3-2-0_110080_2021-08-03_final
2021-08-10 08:48:14	ga_ls7e_ard_3-2-0_095075_2021-08-09_final
2021-08-14 10:05:37	ga_ls7e_ard_3-2-0_107084_2021-08-14_final
2021-09-09 08:58:46	ga_ls7e_ard_3-2-0_097077_2021-09-08_final
2021-09-10 09:39:09	ga_ls7e_ard_3-2-0_104070_2021-09-10_final
2021-09-13 10:12:58	ga_ls7e_ard_3-2-0_109078_2021-09-13_final
2021-09-17 09:49:06	ga_ls7e_ard_3-2-0_105081_2021-09-17_final
2021-10-13 10:24:16	ga_ls7e_ard_3-2-0_111082_2021-10-13_final
2021-10-17 08:18:43	ga_ls7e_ard_3-2-0_091078_2021-10-16_final
2021-10-18 10:39:58	ga_ls7e_ard_3-2-0_114076_2021-10-18_final
2021-10-20 08:52:08	ga_ls7e_ard_3-2-0_096085_2021-10-19_final
2021-10-20 10:28:13	ga_ls7e_ard_3-2-0_112078_2021-10-20_final
2021-11-10 09:07:07	ga_ls7e_ard_3-2-0_099081_2021-11-09_final
2021-11-17 09:12:37	ga_ls7e_ard_3-2-1_100081_2021-11-16_final
2021-11-19 08:57:40	ga_ls7e_ard_3-2-1_098075_2021-11-18_final
2021-12-02 08:27:32	ga_ls7e_ard_3-2-1_093080_2021-12-01_final
2021-12-04 08:14:11	ga_ls7e_ard_3-2-1_091078_2021-12-03_final
2021-12-07 08:42:00	ga_ls7e_ard_3-2-1_096071_2021-12-06_final
2021-12-07 08:46:48	ga_ls7e_ard_3-2-1_096083_2021-12-06_final
2021-12-14 08:48:43	ga_ls7e_ard_3-2-1_097074_2021-12-13_final
2021-12-21 08:53:49	ga_ls7e_ard_3-2-1_098073_2021-12-20_final
2022-01-05 08:12:14	ga_ls7e_ard_3-2-1_091081_2022-01-04_final
2022-01-21 09:48:49	ga_ls7e_ard_3-2-1_107079_2022-01-21_final
2022-01-24 10:20:13	ga_ls7e_ard_3-2-1_112081_2022-01-24_final
2022-01-31 10:26:06	ga_ls7e_ard_3-2-1_113082_2022-01-31_final
2022-02-03 09:15:50	ga_ls7e_ard_3-2-1_102077_2022-02-02_final
2022-02-07 10:30:23	ga_ls7e_ard_3-2-1_114079_2022-02-07_final
2022-02-12 09:10:19	ga_ls7e_ard_3-2-1_101081_2022-02-11_final
2022-02-15 08:02:49	ga_ls7e_ard_3-2-1_090083_2022-02-14_final
2022-02-25 08:35:22	ga_ls7e_ard_3-2-1_096074_2022-02-24_final
2022-03-06 10:07:35	ga_ls7e_ard_3-2-1_111075_2022-03-06_final
2022-03-10 08:05:11	ga_ls7e_ard_3-2-1_091079_2022-03-09_final
2022-03-23 09:09:53	ga_ls7e_ard_3-2-1_102074_2022-03-22_final
2022-03-27 08:46:47	ga_ls7e_ard_3-2-1_098079_2022-03-26_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years