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
2000-03-30 11:37:33	ga_ls7e_ard_3-1-0_114075_2000-03-30_final
2002-06-26 11:20:41	ga_ls7e_ard_3-0-0_112074_2002-06-26_final
2002-07-03 11:30:28	ga_ls7e_ard_3-0-0_113083_2002-07-03_final
2002-09-05 11:29:37	ga_ls7e_ard_3-0-0_113082_2002-09-05_final
2002-11-24 11:26:37	ga_ls7e_ard_3-0-0_113074_2002-11-24_final
2004-02-29 11:41:08	ga_ls7e_ard_3-1-0_115077_2004-02-29_final
2004-05-12 11:36:13	ga_ls7e_ard_3-0-0_114080_2004-05-12_final
2004-08-23 11:41:11	ga_ls7e_ard_3-0-0_115078_2004-08-23_final
2004-08-25 11:28:49	ga_ls7e_ard_3-0-0_113078_2004-08-25_final
2006-05-02 11:36:16	ga_ls7e_ard_3-0-0_114078_2006-05-02_final
2006-10-16 11:40:18	ga_ls7e_ard_3-0-0_115074_2006-10-16_final
2007-03-02 11:37:07	ga_ls7e_ard_3-0-0_114079_2007-03-02_final
2007-11-06 11:32:04	ga_ls7e_ard_3-0-0_113083_2007-11-06_final
2008-03-22 11:26:24	ga_ls7e_ard_3-1-0_112084_2008-03-22_final
2008-06-17 11:28:10	ga_ls7e_ard_3-0-0_113074_2008-06-17_final
2008-10-07 11:31:07	ga_ls7e_ard_3-0-0_113084_2008-10-07_final
2009-04-10 11:26:35	ga_ls7e_ard_3-0-0_112084_2009-04-10_final
2009-10-10 11:32:05	ga_ls7e_ard_3-0-0_113083_2009-10-10_final
2010-01-28 11:42:54	ga_ls7e_ard_3-0-0_115075_2010-01-28_final
2010-02-15 11:33:09	ga_ls7e_ard_3-0-0_113081_2010-02-15_final
2010-10-27 11:44:06	ga_ls7e_ard_3-0-0_115076_2010-10-27_final
2011-01-01 11:35:13	ga_ls7e_ard_3-0-0_113083_2011-01-01_final
2012-01-18 11:44:49	ga_ls7e_ard_3-0-0_115074_2012-01-18_final
2012-04-16 11:40:17	ga_ls7e_ard_3-0-0_114078_2012-04-16_final
2012-04-25 11:36:20	ga_ls7e_ard_3-0-0_113083_2012-04-25_final
2012-06-21 11:29:31	ga_ls7e_ard_3-0-0_112081_2012-06-21_final
2012-09-07 11:41:36	ga_ls7e_ard_3-0-0_114078_2012-09-07_final
2012-10-16 11:48:09	ga_ls7e_ard_3-0-0_115078_2012-10-16_final
2012-11-01 11:46:39	ga_ls7e_ard_3-0-0_115074_2012-11-01_final
2012-12-03 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-12-03_final
2012-12-19 11:48:31	ga_ls7e_ard_3-0-0_115078_2012-12-19_final
2014-08-21 11:36:05	ga_ls7e_ard_3-0-0_113074_2014-08-21_final
2014-10-22 11:49:41	ga_ls7e_ard_3-0-0_115076_2014-10-22_final
2015-07-30 11:46:23	ga_ls7e_ard_3-0-0_114079_2015-07-30_final
2015-10-25 11:51:10	ga_ls7e_ard_3-0-0_115074_2015-10-25_final
2015-10-27 11:42:02	ga_ls7e_ard_3-0-0_113082_2015-10-27_final
2016-03-17 11:54:54	ga_ls7e_ard_3-0-0_115079_2016-03-17_final
2016-05-15 11:37:04	ga_ls7e_ard_3-0-0_112080_2016-05-15_final
2018-01-29 11:36:24	ga_ls7e_ard_3-0-0_112080_2018-01-29_final
2018-10-17 11:49:33	ga_ls7e_ard_3-0-0_115078_2018-10-17_final
2019-02-15 11:39:39	ga_ls7e_ard_3-0-0_114077_2019-02-15_final
2019-06-09 11:25:42	ga_ls7e_ard_3-0-0_112083_2019-06-09_final
2019-07-11 11:24:53	ga_ls7e_ard_3-1-0_112084_2019-07-11_final
2019-09-04 11:27:12	ga_ls7e_ard_3-1-0_113080_2019-09-04_final
2019-12-16 11:27:57	ga_ls7e_ard_3-1-0_114078_2019-12-16_final
2020-02-18 11:23:06	ga_ls7e_ard_3-1-0_114074_2020-02-18_final
2020-06-27 11:07:13	ga_ls7e_ard_3-1-0_112084_2020-06-27_final
2020-08-14 11:03:04	ga_ls7e_ard_3-1-0_112081_2020-08-14_final
2020-08-21 11:08:48	ga_ls7e_ard_3-1-0_113081_2020-08-21_final
2020-11-09 11:03:09	ga_ls7e_ard_3-1-0_113080_2020-11-09_final
2020-12-01 08:44:26	ga_ls7e_ard_3-1-0_091077_2020-11-30_final
2020-12-07 09:44:36	ga_ls7e_ard_3-1-0_101074_2020-12-07_final
2020-12-17 10:21:19	ga_ls7e_ard_3-1-0_107075_2020-12-17_final
2021-01-14 10:47:15	ga_ls7e_ard_3-1-0_111083_2021-01-14_final
2021-01-18 10:19:03	ga_ls7e_ard_3-1-0_107075_2021-01-18_final
2021-02-06 09:09:41	ga_ls7e_ard_3-2-0_096075_2021-02-05_final
2021-02-20 10:59:53	ga_ls7e_ard_3-2-0_114075_2021-02-20_final
2021-02-22 09:07:17	ga_ls7e_ard_3-2-0_096072_2021-02-21_final
2021-03-03 09:06:00	ga_ls7e_ard_3-2-0_095086_2021-03-02_final
2021-03-07 10:17:51	ga_ls7e_ard_3-2-0_107081_2021-03-07_final
2021-03-30 08:40:55	ga_ls7e_ard_3-2-0_092075_2021-03-29_final
2021-04-17 10:03:57	ga_ls7e_ard_3-2-0_106070_2021-04-17_final
2021-04-23 09:27:09	ga_ls7e_ard_3-2-0_100072_2021-04-22_final
2021-05-04 09:12:29	ga_ls7e_ard_3-2-0_097084_2021-05-03_final
2021-06-09 08:45:32	ga_ls7e_ard_3-2-0_093086_2021-06-08_final
2021-06-15 09:44:27	ga_ls7e_ard_3-2-0_103080_2021-06-15_final
2021-06-18 10:16:18	ga_ls7e_ard_3-2-0_108083_2021-06-18_final
2021-06-19 09:17:48	ga_ls7e_ard_3-2-0_099076_2021-06-18_final
2021-06-27 08:32:06	ga_ls7e_ard_3-2-0_091087_2021-06-26_final
2021-07-20 10:08:49	ga_ls7e_ard_3-2-0_108071_2021-07-20_final
2021-07-21 09:16:18	ga_ls7e_ard_3-2-0_099079_2021-07-20_final
2021-07-25 10:32:06	ga_ls7e_ard_3-2-0_111084_2021-07-25_final
2021-07-27 10:16:47	ga_ls7e_ard_3-2-0_109077_2021-07-27_final
2021-08-05 10:09:00	ga_ls7e_ard_3-2-0_108075_2021-08-05_final
2021-08-05 10:12:36	ga_ls7e_ard_3-2-0_108084_2021-08-05_final
2021-08-14 10:05:13	ga_ls7e_ard_3-2-0_107083_2021-08-14_final
2021-08-28 08:38:41	ga_ls7e_ard_3-2-0_093086_2021-08-27_final
2021-09-09 08:56:46	ga_ls7e_ard_3-2-0_097072_2021-09-08_final
2021-09-15 10:02:26	ga_ls7e_ard_3-2-0_107083_2021-09-15_final
2021-09-16 09:02:44	ga_ls7e_ard_3-2-0_098073_2021-09-15_final
2021-09-24 09:51:51	ga_ls7e_ard_3-2-0_106074_2021-09-24_final
2021-09-25 10:35:01	ga_ls7e_ard_3-2-0_113074_2021-09-25_final
2021-09-29 10:09:56	ga_ls7e_ard_3-2-0_109074_2021-09-29_final
2021-10-08 08:25:18	ga_ls7e_ard_3-2-0_092077_2021-10-07_final
2021-10-10 08:15:33	ga_ls7e_ard_3-2-0_090084_2021-10-09_final
2021-10-11 10:36:48	ga_ls7e_ard_3-2-0_113082_2021-10-11_final
2021-10-12 09:37:06	ga_ls7e_ard_3-2-0_104072_2021-10-12_final
2021-12-02 08:25:32	ga_ls7e_ard_3-2-1_093075_2021-12-01_final
2021-12-02 10:02:49	ga_ls7e_ard_3-2-1_109071_2021-12-02_final
2021-12-03 09:09:54	ga_ls7e_ard_3-2-1_100078_2021-12-02_final
2021-12-25 10:08:47	ga_ls7e_ard_3-2-1_110076_2021-12-25_final
2022-01-01 08:37:46	ga_ls7e_ard_3-2-1_095082_2021-12-31_final
2022-02-04 08:21:19	ga_ls7e_ard_3-2-1_093080_2022-02-03_final
2022-02-07 10:30:47	ga_ls7e_ard_3-2-1_114080_2022-02-07_final
2022-02-09 08:36:09	ga_ls7e_ard_3-2-1_096072_2022-02-08_final
2022-02-14 10:35:02	ga_ls7e_ard_3-2-1_115077_2022-02-14_final
2022-02-27 08:26:00	ga_ls7e_ard_3-2-1_094082_2022-02-26_final
2022-03-11 08:43:33	ga_ls7e_ard_3-2-1_098067_2022-03-10_final
2022-03-22 08:30:19	ga_ls7e_ard_3-2-1_095083_2022-03-21_final
2022-03-31 09:59:46	ga_ls7e_ard_3-2-1_110077_2022-03-31_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