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
2000-11-13 09:28:34	ga_ls7e_ard_3-1-0_094067_2000-11-12_final
2004-03-26 10:41:52	ga_ls7e_ard_3-1-0_105083_2004-03-26_final
2004-04-21 11:18:23	ga_ls7e_ard_3-1-0_111082_2004-04-21_final
2004-11-24 09:27:16	ga_ls7e_ard_3-1-0_094067_2004-11-23_final
2004-12-26 09:27:32	ga_ls7e_ard_3-1-0_094067_2004-12-25_final
2005-02-19 09:36:26	ga_ls7e_ard_3-1-0_095073_2005-02-19_final
2005-08-23 09:29:54	ga_ls7e_ard_3-1-0_094073_2005-08-22_final
2005-12-17 10:45:12	ga_ls7e_ard_3-1-0_106075_2005-12-17_final
2005-12-29 09:27:57	ga_ls7e_ard_3-1-0_094067_2005-12-28_final
2006-01-02 10:45:20	ga_ls7e_ard_3-1-0_106075_2006-01-02_final
2006-03-03 11:09:12	ga_ls7e_ard_3-1-0_110072_2006-03-03_final
2006-07-23 09:47:05	ga_ls7e_ard_3-1-0_096084_2006-07-23_final
2006-11-30 09:28:18	ga_ls7e_ard_3-1-0_094067_2006-11-29_final
2007-02-18 11:09:33	ga_ls7e_ard_3-1-0_110072_2007-02-18_final
2007-05-12 10:06:42	ga_ls7e_ard_3-1-0_099085_2007-05-12_final
2007-06-13 11:42:16	ga_ls7e_ard_3-1-0_115077_2007-06-13_final
2007-06-17 09:39:27	ga_ls7e_ard_3-1-0_095079_2007-06-17_final
2007-11-30 10:42:49	ga_ls7e_ard_3-1-0_105083_2007-11-30_final
2007-12-21 11:01:04	ga_ls7e_ard_3-1-0_108082_2007-12-21_final
2007-12-23 09:11:01	ga_ls7e_ard_3-1-0_090085_2007-12-22_final
2008-03-24 09:28:22	ga_ls7e_ard_3-1-0_094067_2008-03-23_final
2009-05-08 10:12:31	ga_ls7e_ard_3-1-0_100084_2009-05-08_final
2009-06-06 11:19:43	ga_ls7e_ard_3-1-0_111082_2009-06-06_final
2009-09-21 10:56:30	ga_ls7e_ard_3-1-0_108071_2009-09-21_final
2010-02-28 10:59:58	ga_ls7e_ard_3-1-0_108075_2010-02-28_final
2010-06-20 11:00:06	ga_ls7e_ard_3-1-0_108075_2010-06-20_final
2010-06-29 09:19:27	ga_ls7e_ard_3-1-0_091086_2010-06-28_final
2010-10-01 09:32:14	ga_ls7e_ard_3-1-0_093087_2010-10-01_final
2011-12-14 11:12:53	ga_ls7e_ard_3-1-0_110072_2011-12-14_final
2012-08-14 10:50:42	ga_ls7e_ard_3-1-0_106075_2012-08-14_final
2012-10-13 09:33:55	ga_ls7e_ard_3-1-0_094067_2012-10-13_final
2015-08-21 11:07:47	ga_ls7e_ard_3-1-0_108075_2015-08-21_final
2017-01-03 09:49:05	ga_ls7e_ard_3-1-0_095073_2017-01-03_final
2017-04-26 10:32:29	ga_ls7e_ard_3-1-0_102073_2017-04-26_final
2018-07-01 09:46:12	ga_ls7e_ard_3-1-0_095073_2018-07-01_final
2018-09-10 09:56:12	ga_ls7e_ard_3-1-0_096086_2018-09-10_final
2018-09-12 09:36:13	ga_ls7e_ard_3-1-0_094067_2018-09-12_final
2018-10-14 09:35:27	ga_ls7e_ard_3-1-0_094067_2018-10-14_final
2018-12-01 09:34:20	ga_ls7e_ard_3-1-0_094067_2018-12-01_final
2019-03-18 09:21:43	ga_ls7e_ard_3-1-0_091090_2019-03-17_final
2019-04-24 11:10:40	ga_ls7e_ard_3-1-0_110072_2019-04-24_final
2019-08-25 09:14:28	ga_ls7e_ard_3-1-0_091087_2019-08-24_final
2019-09-24 10:59:12	ga_ls7e_ard_3-1-0_109074_2019-09-24_final
2019-10-12 09:12:49	ga_ls7e_ard_3-1-0_091088_2019-10-11_final
2019-10-29 11:31:26	ga_ls7e_ard_3-1-0_114081_2019-10-29_final
2019-11-14 09:52:37	ga_ls7e_ard_3-1-0_098083_2019-11-14_final
2019-11-29 10:43:56	ga_ls7e_ard_3-1-0_107074_2019-11-29_final
2019-12-15 09:08:39	ga_ls7e_ard_3-1-0_091085_2019-12-14_final
2019-12-21 10:09:21	ga_ls7e_ard_3-1-0_101083_2019-12-21_final
2020-01-02 08:53:46	ga_ls7e_ard_3-1-0_089081_2020-01-01_final
2020-01-07 10:46:32	ga_ls7e_ard_3-1-0_108070_2020-01-07_final
2020-01-17 09:43:03	ga_ls7e_ard_3-1-0_098067_2020-01-17_final
2020-01-20 10:19:23	ga_ls7e_ard_3-1-0_103081_2020-01-20_final
2020-02-15 10:50:45	ga_ls7e_ard_3-1-0_109070_2020-02-15_final
2020-03-11 10:45:14	ga_ls7e_ard_3-1-0_108075_2020-03-11_final
2020-03-12 09:48:22	ga_ls7e_ard_3-1-0_099072_2020-03-12_final
2020-03-12 09:53:09	ga_ls7e_ard_3-1-0_099084_2020-03-12_final
2020-03-27 09:05:28	ga_ls7e_ard_3-1-0_092075_2020-03-26_final
2020-04-17 11:00:05	ga_ls7e_ard_3-1-0_111071_2020-04-17_final
2020-06-13 09:12:49	ga_ls7e_ard_3-1-0_094074_2020-06-12_final
2020-07-03 08:53:18	ga_ls7e_ard_3-1-0_090090_2020-07-02_final
2020-08-11 10:32:45	ga_ls7e_ard_3-1-0_107082_2020-08-11_final
2020-08-13 10:14:41	ga_ls7e_ard_3-1-0_105068_2020-08-13_final
2020-08-27 08:54:50	ga_ls7e_ard_3-1-0_091087_2020-08-26_final
2020-09-14 08:40:30	ga_ls7e_ard_3-1-0_089085_2020-09-13_final
2020-09-19 08:54:43	ga_ls7e_ard_3-1-0_092075_2020-09-18_final
2020-09-23 10:07:24	ga_ls7e_ard_3-1-0_104072_2020-09-23_final
2020-10-29 09:40:22	ga_ls7e_ard_3-1-0_100072_2020-10-29_final
2020-11-18 09:13:29	ga_ls7e_ard_3-1-0_096070_2020-11-17_final
2020-11-18 09:19:52	ga_ls7e_ard_3-1-0_096086_2020-11-17_final
2020-12-03 10:07:13	ga_ls7e_ard_3-1-0_105068_2020-12-03_final
2020-12-14 09:49:51	ga_ls7e_ard_3-1-0_102073_2020-12-14_final
2020-12-15 08:58:57	ga_ls7e_ard_3-1-0_093085_2020-12-14_final
2020-12-30 09:48:17	ga_ls7e_ard_3-1-0_102072_2020-12-30_final
2021-01-03 09:25:41	ga_ls7e_ard_3-1-0_098078_2021-01-02_final
2021-01-29 10:00:55	ga_ls7e_ard_3-2-0_104078_2021-01-29_final
2021-02-08 10:34:52	ga_ls7e_ard_3-2-0_110072_2021-02-08_final
2021-03-12 10:36:24	ga_ls7e_ard_3-2-0_110082_2021-03-12_final
2021-03-14 08:42:13	ga_ls7e_ard_3-2-0_092075_2021-03-13_final
2021-03-17 09:10:52	ga_ls7e_ard_3-2-0_097070_2021-03-16_final
2021-04-09 09:15:11	ga_ls7e_ard_3-2-0_098070_2021-04-08_final
2021-04-09 09:21:10	ga_ls7e_ard_3-2-0_098085_2021-04-08_final
2021-04-15 10:18:28	ga_ls7e_ard_3-2-0_108075_2021-04-15_final
2021-04-20 10:35:47	ga_ls7e_ard_3-2-0_111073_2021-04-20_final
2021-04-29 10:29:14	ga_ls7e_ard_3-2-0_110074_2021-04-29_final
2021-05-03 08:30:54	ga_ls7e_ard_3-2-0_090088_2021-05-02_final
2021-05-19 08:28:46	ga_ls7e_ard_3-2-0_090086_2021-05-18_final
2021-07-02 10:27:06	ga_ls7e_ard_3-2-0_110082_2021-07-02_final
2021-07-14 09:12:19	ga_ls7e_ard_3-2-0_098083_2021-07-13_final
2021-07-29 10:01:27	ga_ls7e_ard_3-2-0_107070_2021-07-29_final
2021-07-29 10:05:26	ga_ls7e_ard_3-2-0_107080_2021-07-29_final
2021-08-03 10:21:09	ga_ls7e_ard_3-2-0_110074_2021-08-03_final
2021-09-15 09:57:14	ga_ls7e_ard_3-2-0_107070_2021-09-15_final
2021-10-10 09:51:14	ga_ls7e_ard_3-2-0_106076_2021-10-10_final
2021-11-03 08:56:01	ga_ls7e_ard_3-2-0_098067_2021-11-02_final
2021-11-23 10:10:14	ga_ls7e_ard_3-2-1_110072_2021-11-23_final
2021-11-26 09:00:22	ga_ls7e_ard_3-2-1_099068_2021-11-25_final
2021-11-26 10:42:27	ga_ls7e_ard_3-2-1_115076_2021-11-26_final
2021-11-30 10:15:22	ga_ls7e_ard_3-2-1_111071_2021-11-30_final
2022-01-07 09:36:11	ga_ls7e_ard_3-2-1_105075_2022-01-07_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