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
1999-09-14 08:59:58	ga_ls7e_ard_3-0-0_088082_1999-09-13_final
1999-09-30 09:00:33	ga_ls7e_ard_3-0-0_088083_1999-09-29_final
1999-12-04 09:39:15	ga_ls7e_ard_3-0-0_095072_1999-12-04_final
2000-02-22 09:43:01	ga_ls7e_ard_3-0-0_095082_2000-02-22_final
2001-05-15 09:36:40	ga_ls7e_ard_3-1-0_095073_2001-05-15_final
2001-12-24 08:55:49	ga_ls7e_ard_3-0-0_088082_2001-12-23_final
2005-01-02 09:39:21	ga_ls7e_ard_3-0-0_095081_2005-01-02_final
2005-06-11 09:41:04	ga_ls7e_ard_3-0-0_095085_2005-06-11_final
2005-06-27 09:39:48	ga_ls7e_ard_3-0-0_095082_2005-06-27_final
2005-09-11 11:41:53	ga_ls7e_ard_3-0-0_115079_2005-09-11_final
2006-06-30 09:34:19	ga_ls7e_ard_3-0-0_095067_2006-06-30_final
2007-01-08 09:37:01	ga_ls7e_ard_3-1-0_095073_2007-01-08_final
2007-06-17 09:34:40	ga_ls7e_ard_3-0-0_095067_2007-06-17_final
2007-10-07 09:41:40	ga_ls7e_ard_3-0-0_095086_2007-10-07_final
2008-01-27 09:36:44	ga_ls7e_ard_3-0-0_095072_2008-01-27_final
2008-09-23 09:40:49	ga_ls7e_ard_3-0-0_095086_2008-09-23_final
2010-03-21 09:44:33	ga_ls7e_ard_3-0-0_095087_2010-03-21_final
2011-06-28 09:40:43	ga_ls7e_ard_3-0-0_095074_2011-06-28_final
2011-12-20 09:01:00	ga_ls7e_ard_3-0-0_088082_2011-12-19_final
2012-07-31 09:02:04	ga_ls7e_ard_3-0-0_088082_2012-07-30_final
2012-11-21 09:40:24	ga_ls7e_ard_3-0-0_095067_2012-11-21_final
2013-01-23 09:03:19	ga_ls7e_ard_3-0-0_088082_2013-01-22_final
2013-02-05 11:48:37	ga_ls7e_ard_3-0-0_115078_2013-02-05_final
2013-11-20 11:48:58	ga_ls7e_ard_3-0-0_115079_2013-11-20_final
2014-12-29 09:45:18	ga_ls7e_ard_3-1-0_095073_2014-12-29_final
2015-01-26 11:51:25	ga_ls7e_ard_3-0-0_115079_2015-01-26_final
2015-03-03 09:45:41	ga_ls7e_ard_3-1-0_095073_2015-03-03_final
2015-09-07 11:52:17	ga_ls7e_ard_3-0-0_115078_2015-09-07_final
2016-02-02 09:52:36	ga_ls7e_ard_3-0-0_095083_2016-02-02_final
2017-02-04 09:54:23	ga_ls7e_ard_3-0-0_095087_2017-02-04_final
2017-07-10 11:55:28	ga_ls7e_ard_3-0-0_115079_2017-07-10_final
2017-09-16 09:48:59	ga_ls7e_ard_3-0-0_095072_2017-09-16_final
2017-10-30 11:55:26	ga_ls7e_ard_3-0-0_115079_2017-10-30_final
2017-11-03 09:49:50	ga_ls7e_ard_3-0-0_095074_2017-11-03_final
2018-05-30 09:46:24	ga_ls7e_ard_3-0-0_095072_2018-05-30_final
2019-01-21 11:47:24	ga_ls7e_ard_3-0-0_115079_2019-01-21_final
2019-03-30 09:44:26	ga_ls7e_ard_3-0-0_095086_2019-03-30_final
2019-04-15 09:36:18	ga_ls7e_ard_3-0-0_095067_2019-04-15_final
2019-05-01 09:38:30	ga_ls7e_ard_3-0-0_095074_2019-05-01_final
2020-04-13 11:28:14	ga_ls7e_ard_3-1-0_115079_2020-04-13_final
2020-10-10 09:10:43	ga_ls7e_ard_3-1-0_095072_2020-10-09_final
2021-02-12 10:09:27	ga_ls7e_ard_3-2-0_106071_2021-02-12_final
2021-02-21 10:04:11	ga_ls7e_ard_3-2-0_105075_2021-02-21_final
2021-03-01 10:55:24	ga_ls7e_ard_3-2-0_113081_2021-03-01_final
2021-03-05 10:25:59	ga_ls7e_ard_3-2-0_109070_2021-03-05_final
2021-03-08 09:23:45	ga_ls7e_ard_3-2-0_098085_2021-03-07_final
2021-03-18 09:53:15	ga_ls7e_ard_3-2-0_104068_2021-03-18_final
2021-03-25 08:25:35	ga_ls7e_ard_3-2-0_089082_2021-03-24_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-04-01 10:09:16	ga_ls7e_ard_3-2-0_106080_2021-04-01_final
2021-04-20 10:35:47	ga_ls7e_ard_3-2-0_111073_2021-04-20_final
2021-04-26 09:59:00	ga_ls7e_ard_3-2-0_105075_2021-04-26_final
2021-04-28 09:44:28	ga_ls7e_ard_3-2-0_103070_2021-04-28_final
2021-06-11 10:07:30	ga_ls7e_ard_3-2-0_107075_2021-06-11_final
2021-07-02 08:44:38	ga_ls7e_ard_3-2-0_094073_2021-07-01_final
2021-07-04 08:36:29	ga_ls7e_ard_3-2-0_092084_2021-07-03_final
2021-07-12 09:24:27	ga_ls7e_ard_3-2-0_100082_2021-07-11_final
2021-07-13 10:04:50	ga_ls7e_ard_3-2-0_107075_2021-07-13_final
2021-07-16 10:35:04	ga_ls7e_ard_3-2-0_112074_2021-07-16_final
2021-07-29 10:01:27	ga_ls7e_ard_3-2-0_107070_2021-07-29_final
2021-08-30 08:26:09	ga_ls7e_ard_3-2-0_091086_2021-08-29_final
2021-09-01 09:47:42	ga_ls7e_ard_3-2-0_105074_2021-09-01_final
2021-09-04 08:44:39	ga_ls7e_ard_3-2-0_094087_2021-09-03_final
2021-09-13 08:37:41	ga_ls7e_ard_3-2-0_093087_2021-09-12_final
2021-09-27 08:42:48	ga_ls7e_ard_3-2-0_095072_2021-09-26_final
2021-10-09 09:05:16	ga_ls7e_ard_3-2-0_099069_2021-10-08_final
2021-10-13 08:41:48	ga_ls7e_ard_3-2-0_095073_2021-10-12_final
2021-10-14 09:22:58	ga_ls7e_ard_3-2-0_102068_2021-10-13_final
2021-10-16 09:11:38	ga_ls7e_ard_3-2-0_100071_2021-10-15_final
2021-10-18 09:04:17	ga_ls7e_ard_3-2-0_098084_2021-10-17_final
2021-10-19 09:43:51	ga_ls7e_ard_3-2-0_105075_2021-10-19_final
2021-11-07 10:11:48	ga_ls7e_ard_3-2-0_110072_2021-11-07_final
2021-11-07 10:13:23	ga_ls7e_ard_3-2-0_110076_2021-11-07_final
2021-11-10 09:01:56	ga_ls7e_ard_3-2-0_099068_2021-11-09_final
2021-11-17 09:13:25	ga_ls7e_ard_3-2-1_100083_2021-11-16_final
2021-11-18 08:19:18	ga_ls7e_ard_3-2-1_091087_2021-11-17_final
2021-12-02 10:04:49	ga_ls7e_ard_3-2-1_109076_2021-12-02_final
2021-12-04 09:50:16	ga_ls7e_ard_3-2-1_107071_2021-12-04_final
2021-12-05 08:54:33	ga_ls7e_ard_3-2-1_098071_2021-12-04_final
2021-12-11 09:55:23	ga_ls7e_ard_3-2-1_108070_2021-12-11_final
2021-12-13 08:07:33	ga_ls7e_ard_3-2-1_090079_2021-12-12_final
2021-12-17 09:17:44	ga_ls7e_ard_3-2-1_102070_2021-12-16_final
2021-12-23 10:20:32	ga_ls7e_ard_3-2-1_112074_2021-12-23_final
2021-12-29 08:08:46	ga_ls7e_ard_3-2-1_090086_2021-12-28_final
2021-12-30 10:26:25	ga_ls7e_ard_3-2-1_113075_2021-12-30_final
2022-01-18 09:13:49	ga_ls7e_ard_3-2-1_102068_2022-01-17_final
2022-01-19 08:22:05	ga_ls7e_ard_3-2-1_093078_2022-01-18_final
2022-02-06 09:43:38	ga_ls7e_ard_3-2-1_107070_2022-02-06_final
2022-02-06 09:44:02	ga_ls7e_ard_3-2-1_107071_2022-02-06_final
2022-02-10 09:18:06	ga_ls7e_ard_3-2-1_103069_2022-02-09_final
2022-02-15 09:38:54	ga_ls7e_ard_3-2-1_106076_2022-02-15_final
2022-02-19 09:11:25	ga_ls7e_ard_3-2-1_102070_2022-02-18_final
2022-02-22 09:42:02	ga_ls7e_ard_3-2-1_107070_2022-02-22_final
2022-02-24 09:31:28	ga_ls7e_ard_3-2-1_105075_2022-02-24_final
2022-03-02 10:33:53	ga_ls7e_ard_3-2-1_115078_2022-03-02_final
2022-03-11 10:26:01	ga_ls7e_ard_3-2-1_114076_2022-03-11_final
2022-03-18 08:54:12	ga_ls7e_ard_3-2-1_099080_2022-03-17_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_final
2022-04-01 09:06:03	ga_ls7e_ard_3-2-1_101082_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years