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
1999-08-10 11:45:18	ga_ls7e_ard_3-0-0_115078_1999-08-10_final
2000-03-30 11:38:45	ga_ls7e_ard_3-1-0_114078_2000-03-30_final
2000-04-22 11:44:18	ga_ls7e_ard_3-1-0_115077_2000-04-22_final
2000-05-01 11:37:19	ga_ls7e_ard_3-0-0_114075_2000-05-01_final
2001-09-16 11:40:06	ga_ls7e_ard_3-0-0_115076_2001-09-16_final
2002-12-01 11:34:52	ga_ls7e_ard_3-0-0_114079_2002-12-01_final
2006-12-19 11:41:47	ga_ls7e_ard_3-0-0_115076_2006-12-19_final
2006-12-28 11:36:26	ga_ls7e_ard_3-0-0_114078_2006-12-28_final
2008-02-08 11:41:55	ga_ls7e_ard_3-0-0_115076_2008-02-08_final
2009-02-26 11:42:01	ga_ls7e_ard_3-1-0_115077_2009-02-26_final
2009-11-02 11:36:39	ga_ls7e_ard_3-0-0_114078_2009-11-02_final
2010-02-13 11:44:41	ga_ls7e_ard_3-0-0_115079_2010-02-13_final
2010-05-29 11:38:21	ga_ls7e_ard_3-0-0_114078_2010-05-29_final
2010-09-09 11:43:30	ga_ls7e_ard_3-0-0_115075_2010-09-09_final
2010-10-11 11:45:08	ga_ls7e_ard_3-0-0_115079_2010-10-11_final
2011-01-24 11:39:58	ga_ls7e_ard_3-0-0_114079_2011-01-24_final
2011-03-20 11:45:34	ga_ls7e_ard_3-1-0_115077_2011-03-20_final
2011-07-03 11:38:57	ga_ls7e_ard_3-0-0_114076_2011-07-03_final
2012-06-03 11:41:24	ga_ls7e_ard_3-0-0_114080_2012-06-03_final
2012-07-12 11:47:09	ga_ls7e_ard_3-0-0_115078_2012-07-12_final
2012-07-21 11:41:28	ga_ls7e_ard_3-0-0_114079_2012-07-21_final
2012-07-28 11:46:07	ga_ls7e_ard_3-0-0_115075_2012-07-28_final
2012-11-17 11:47:34	ga_ls7e_ard_3-0-0_115076_2012-11-17_final
2015-10-18 11:45:17	ga_ls7e_ard_3-0-0_114075_2015-10-18_final
2015-10-25 11:52:22	ga_ls7e_ard_3-1-0_115077_2015-10-25_final
2015-11-03 11:46:42	ga_ls7e_ard_3-0-0_114078_2015-11-03_final
2016-09-02 11:47:43	ga_ls7e_ard_3-0-0_114075_2016-09-02_final
2016-10-27 11:55:06	ga_ls7e_ard_3-0-0_115078_2016-10-27_final
2017-03-29 11:48:04	ga_ls7e_ard_3-0-0_114077_2017-03-29_final
2017-09-05 11:49:14	ga_ls7e_ard_3-0-0_114079_2017-09-05_final
2018-02-19 11:53:05	ga_ls7e_ard_3-0-0_115076_2018-02-19_final
2018-07-06 11:44:43	ga_ls7e_ard_3-0-0_114076_2018-07-06_final
2019-08-01 11:38:36	ga_ls7e_ard_3-0-0_115074_2019-08-01_final
2019-10-13 11:31:43	ga_ls7e_ard_3-1-0_114080_2019-10-13_final
2019-12-23 11:32:58	ga_ls7e_ard_3-1-0_115076_2019-12-23_final
2020-01-08 11:32:08	ga_ls7e_ard_3-1-0_115076_2020-01-08_final
2020-06-25 11:17:42	ga_ls7e_ard_3-1-0_114079_2020-06-25_final
2020-08-28 11:11:44	ga_ls7e_ard_3-1-0_114074_2020-08-28_final
2020-11-25 11:02:02	ga_ls7e_ard_3-1-0_113080_2020-11-25_final
2020-12-04 09:13:07	ga_ls7e_ard_3-1-0_096072_2020-12-03_final
2020-12-06 10:41:53	ga_ls7e_ard_3-1-0_110078_2020-12-06_final
2020-12-19 10:10:24	ga_ls7e_ard_3-1-0_105079_2020-12-19_final
2020-12-20 09:11:55	ga_ls7e_ard_3-1-0_096072_2020-12-19_final
2020-12-24 10:28:34	ga_ls7e_ard_3-1-0_108079_2020-12-24_final
2020-12-25 09:30:29	ga_ls7e_ard_3-1-0_099073_2020-12-25_final
2021-01-04 10:06:05	ga_ls7e_ard_3-1-0_105071_2021-01-04_final
2021-01-18 10:19:51	ga_ls7e_ard_3-1-0_107077_2021-01-18_final
2021-01-18 10:20:39	ga_ls7e_ard_3-1-0_107079_2021-01-18_final
2021-01-26 11:08:43	ga_ls7e_ard_3-2-0_115077_2021-01-26_final
2021-01-28 10:59:00	ga_ls7e_ard_3-2-0_113084_2021-01-28_final
2021-02-01 08:53:31	ga_ls7e_ard_3-2-0_093080_2021-01-31_final
2021-02-01 10:32:48	ga_ls7e_ard_3-2-0_109081_2021-02-01_final
2021-02-03 08:40:37	ga_ls7e_ard_3-2-0_091079_2021-02-02_final
2021-02-03 08:43:24	ga_ls7e_ard_3-2-0_091086_2021-02-02_final
2021-02-08 08:57:35	ga_ls7e_ard_3-2-0_094076_2021-02-07_final
2021-02-28 10:11:49	ga_ls7e_ard_3-2-0_106080_2021-02-28_final
2021-03-03 09:03:36	ga_ls7e_ard_3-2-0_095080_2021-03-02_final
2021-03-10 09:06:27	ga_ls7e_ard_3-2-0_096073_2021-03-09_final
2021-03-12 08:58:19	ga_ls7e_ard_3-2-0_094084_2021-03-11_final
2021-04-02 09:11:10	ga_ls7e_ard_3-2-0_097074_2021-04-01_final
2021-04-04 09:02:14	ga_ls7e_ard_3-2-0_095083_2021-04-03_final
2021-04-08 08:39:11	ga_ls7e_ard_3-2-0_091088_2021-04-07_final
2021-04-15 10:20:04	ga_ls7e_ard_3-2-0_108079_2021-04-15_final
2021-04-15 10:21:16	ga_ls7e_ard_3-2-0_108082_2021-04-15_final
2021-04-17 10:07:56	ga_ls7e_ard_3-2-0_106080_2021-04-17_final
2021-04-22 10:26:51	ga_ls7e_ard_3-2-0_109082_2021-04-22_final
2021-04-24 08:34:15	ga_ls7e_ard_3-2-0_091079_2021-04-23_final
2021-05-15 10:30:42	ga_ls7e_ard_3-2-0_110081_2021-05-15_final
2021-05-17 10:18:58	ga_ls7e_ard_3-2-0_108083_2021-05-17_final
2021-05-19 10:01:39	ga_ls7e_ard_3-2-0_106071_2021-05-19_final
2021-05-24 10:24:33	ga_ls7e_ard_3-2-0_109083_2021-05-24_final
2021-06-07 10:35:20	ga_ls7e_ard_3-2-0_111082_2021-06-07_final
2021-06-13 08:18:06	ga_ls7e_ard_3-2-0_089080_2021-06-12_final
2021-06-19 10:56:41	ga_ls7e_ard_3-2-0_115076_2021-06-19_final
2021-07-08 09:48:19	ga_ls7e_ard_3-2-0_104079_2021-07-08_final
2021-07-12 09:22:03	ga_ls7e_ard_3-2-0_100076_2021-07-11_final
2021-08-04 09:26:38	ga_ls7e_ard_3-2-0_101077_2021-08-03_final
2021-08-16 09:47:05	ga_ls7e_ard_3-2-0_105069_2021-08-16_final
2021-08-16 09:51:53	ga_ls7e_ard_3-2-0_105081_2021-08-16_final
2021-08-19 08:44:02	ga_ls7e_ard_3-2-0_094082_2021-08-18_final
2021-08-31 09:01:45	ga_ls7e_ard_3-2-0_098067_2021-08-30_final
2021-09-03 09:34:47	ga_ls7e_ard_3-2-0_103073_2021-09-03_final
2021-09-04 08:43:28	ga_ls7e_ard_3-2-0_094084_2021-09-03_final
2021-09-28 09:24:46	ga_ls7e_ard_3-2-0_102069_2021-09-27_final
2021-10-15 08:32:27	ga_ls7e_ard_3-2-0_093081_2021-10-14_final
2021-10-26 09:51:23	ga_ls7e_ard_3-2-0_106080_2021-10-26_final
2021-11-03 09:01:12	ga_ls7e_ard_3-2-0_098080_2021-11-02_final
2021-11-14 10:20:53	ga_ls7e_ard_3-2-1_111081_2021-11-14_final
2021-12-05 08:58:33	ga_ls7e_ard_3-2-1_098081_2021-12-04_final
2021-12-05 10:37:01	ga_ls7e_ard_3-2-1_114080_2021-12-05_final
2021-12-21 08:54:13	ga_ls7e_ard_3-2-1_098074_2021-12-20_final
2022-01-10 10:09:36	ga_ls7e_ard_3-2-1_110082_2022-01-10_final
2022-01-12 09:53:03	ga_ls7e_ard_3-2-1_108072_2022-01-12_final
2022-01-24 08:36:57	ga_ls7e_ard_3-2-1_096070_2022-01-23_final
2022-01-29 10:37:28	ga_ls7e_ard_3-2-1_115079_2022-01-29_final
2022-02-12 09:07:32	ga_ls7e_ard_3-2-1_101074_2022-02-11_final
2022-02-18 10:09:07	ga_ls7e_ard_3-2-1_111075_2022-02-18_final
2022-02-20 08:19:17	ga_ls7e_ard_3-2-1_093079_2022-02-19_final
2022-03-04 08:43:39	ga_ls7e_ard_3-2-1_097081_2022-03-03_final
2022-03-18 08:54:36	ga_ls7e_ard_3-2-1_099081_2022-03-17_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