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
2000-01-05 09:39:38	ga_ls7e_ard_3-1-0_095073_2000-01-05_final
2001-07-16 11:27:47	ga_ls7e_ard_3-0-0_113074_2001-07-16_final
2002-07-01 11:40:50	ga_ls7e_ard_3-0-0_115078_2002-07-01_final
2002-12-08 11:40:39	ga_ls7e_ard_3-0-0_115078_2002-12-08_final
2002-12-12 09:34:38	ga_ls7e_ard_3-0-0_095072_2002-12-12_final
2003-08-09 09:34:48	ga_ls7e_ard_3-0-0_095072_2003-08-09_final
2003-11-27 11:27:07	ga_ls7e_ard_3-0-0_113074_2003-11-27_final
2004-10-10 11:40:31	ga_ls7e_ard_3-1-0_115077_2004-10-10_final
2005-01-16 11:27:51	ga_ls7e_ard_3-0-0_113074_2005-01-16_final
2005-05-26 09:34:00	ga_ls7e_ard_3-0-0_095067_2005-05-26_final
2006-02-20 11:28:31	ga_ls7e_ard_3-0-0_113074_2006-02-20_final
2007-05-28 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-05-28_final
2007-08-02 11:28:34	ga_ls7e_ard_3-0-0_113074_2007-08-02_final
2007-11-22 11:31:01	ga_ls7e_ard_3-0-0_113080_2007-11-22_final
2008-07-21 09:41:19	ga_ls7e_ard_3-0-0_095086_2008-07-21_final
2008-09-03 11:41:25	ga_ls7e_ard_3-0-0_115078_2008-09-03_final
2008-12-28 09:36:24	ga_ls7e_ard_3-1-0_095073_2008-12-28_final
2009-06-04 11:31:17	ga_ls7e_ard_3-0-0_113080_2009-06-04_final
2009-09-06 11:41:22	ga_ls7e_ard_3-0-0_115075_2009-09-06_final
2010-05-24 09:38:31	ga_ls7e_ard_3-0-0_095072_2010-05-24_final
2010-06-09 09:38:32	ga_ls7e_ard_3-0-0_095072_2010-06-09_final
2010-08-12 09:44:12	ga_ls7e_ard_3-0-0_095086_2010-08-12_final
2011-06-12 09:45:35	ga_ls7e_ard_3-0-0_095086_2011-06-12_final
2011-07-28 11:31:56	ga_ls7e_ard_3-0-0_113074_2011-07-28_final
2012-01-02 11:45:37	ga_ls7e_ard_3-0-0_115076_2012-01-02_final
2012-01-20 11:32:27	ga_ls7e_ard_3-0-0_113074_2012-01-20_final
2012-02-21 11:29:48	ga_ls7e_ard_3-0-0_113067_2012-02-21_final
2012-03-06 11:46:30	ga_ls7e_ard_3-0-0_115078_2012-03-06_final
2013-01-08 09:42:58	ga_ls7e_ard_3-1-0_095073_2013-01-08_final
2013-10-22 09:02:47	ga_ls7e_ard_3-0-0_088081_2013-10-21_final
2013-11-23 09:03:21	ga_ls7e_ard_3-0-0_088082_2013-11-22_final
2014-02-11 09:03:58	ga_ls7e_ard_3-0-0_088082_2014-02-10_final
2014-05-15 11:50:07	ga_ls7e_ard_3-0-0_115079_2014-05-15_final
2014-06-18 11:35:50	ga_ls7e_ard_3-0-0_113074_2014-06-18_final
2014-07-05 09:04:39	ga_ls7e_ard_3-0-0_088082_2014-07-04_final
2015-01-26 11:51:25	ga_ls7e_ard_3-0-0_115079_2015-01-26_final
2015-04-04 09:51:30	ga_ls7e_ard_3-0-0_095087_2015-04-04_final
2015-06-23 09:51:36	ga_ls7e_ard_3-0-0_095086_2015-06-23_final
2015-10-04 11:36:13	ga_ls7e_ard_3-1-0_112084_2015-10-04_final
2015-10-27 11:38:50	ga_ls7e_ard_3-0-0_113074_2015-10-27_final
2016-03-03 11:40:25	ga_ls7e_ard_3-0-0_113074_2016-03-03_final
2017-01-01 11:40:44	ga_ls7e_ard_3-0-0_113074_2017-01-01_final
2017-03-04 11:53:18	ga_ls7e_ard_3-0-0_115075_2017-03-04_final
2017-03-04 11:54:54	ga_ls7e_ard_3-0-0_115079_2017-03-04_final
2017-09-12 11:55:00	ga_ls7e_ard_3-0-0_115078_2017-09-12_final
2017-11-03 09:49:50	ga_ls7e_ard_3-0-0_095074_2017-11-03_final
2019-02-10 09:40:23	ga_ls7e_ard_3-0-0_095072_2019-02-10_final
2019-03-28 11:28:10	ga_ls7e_ard_3-1-0_113067_2019-03-28_final
2019-09-22 09:32:22	ga_ls7e_ard_3-1-0_095073_2019-09-22_final
2020-05-15 11:25:55	ga_ls7e_ard_3-1-0_115078_2020-05-15_final
2020-10-08 11:02:53	ga_ls7e_ard_3-1-0_113074_2020-10-08_final
2021-02-10 08:45:04	ga_ls7e_ard_3-2-0_092076_2021-02-09_final
2021-02-11 11:06:20	ga_ls7e_ard_3-2-0_115074_2021-02-11_final
2021-02-20 09:24:11	ga_ls7e_ard_3-2-0_098083_2021-02-19_final
2021-03-03 10:40:53	ga_ls7e_ard_3-2-0_111076_2021-03-03_final
2021-03-17 10:51:21	ga_ls7e_ard_3-2-0_113074_2021-03-17_final
2021-03-18 09:55:15	ga_ls7e_ard_3-2-0_104073_2021-03-18_final
2021-03-24 09:15:18	ga_ls7e_ard_3-2-0_098067_2021-03-23_final
2021-04-01 08:29:12	ga_ls7e_ard_3-2-0_090077_2021-03-31_final
2021-04-17 08:32:15	ga_ls7e_ard_3-2-0_090088_2021-04-16_final
2021-05-08 10:22:19	ga_ls7e_ard_3-2-0_109074_2021-05-08_final
2021-05-17 08:36:54	ga_ls7e_ard_3-2-0_092075_2021-05-16_final
2021-05-19 08:28:22	ga_ls7e_ard_3-2-0_090085_2021-05-18_final
2021-05-22 08:53:49	ga_ls7e_ard_3-2-0_095072_2021-05-21_final
2021-05-27 09:16:19	ga_ls7e_ard_3-2-0_098083_2021-05-26_final
2021-06-19 09:21:00	ga_ls7e_ard_3-2-0_099084_2021-06-18_final
2021-06-21 10:40:34	ga_ls7e_ard_3-2-0_113067_2021-06-21_final
2021-06-26 09:25:48	ga_ls7e_ard_3-2-0_100082_2021-06-25_final
2021-06-30 10:36:26	ga_ls7e_ard_3-2-0_112074_2021-06-30_final
2021-07-04 10:11:23	ga_ls7e_ard_3-2-0_108074_2021-07-04_final
2021-07-10 09:36:59	ga_ls7e_ard_3-2-0_102082_2021-07-10_final
2021-07-18 08:40:52	ga_ls7e_ard_3-2-0_094067_2021-07-17_final
2021-07-19 09:28:02	ga_ls7e_ard_3-2-0_101077_2021-07-18_final
2021-07-20 10:10:01	ga_ls7e_ard_3-2-0_108074_2021-07-20_final
2021-07-25 10:31:42	ga_ls7e_ard_3-2-0_111083_2021-07-25_final
2021-07-29 10:03:27	ga_ls7e_ard_3-2-0_107075_2021-07-29_final
2021-08-01 10:33:41	ga_ls7e_ard_3-2-0_112074_2021-08-01_final
2021-08-19 10:23:43	ga_ls7e_ard_3-2-0_110084_2021-08-19_final
2021-08-21 10:05:36	ga_ls7e_ard_3-2-0_108070_2021-08-21_final
2021-09-11 08:44:38	ga_ls7e_ard_3-2-0_095073_2021-09-10_final
2021-09-22 10:03:12	ga_ls7e_ard_3-2-0_108071_2021-09-22_final
2021-10-06 10:13:55	ga_ls7e_ard_3-2-0_110070_2021-10-06_final
2021-10-12 09:41:06	ga_ls7e_ard_3-2-0_104082_2021-10-12_final
2021-10-13 08:46:59	ga_ls7e_ard_3-2-0_095086_2021-10-12_final
2021-10-19 09:43:51	ga_ls7e_ard_3-2-0_105075_2021-10-19_final
2021-10-29 10:19:37	ga_ls7e_ard_3-2-0_111074_2021-10-29_final
2021-11-07 10:09:48	ga_ls7e_ard_3-2-0_110067_2021-11-07_final
2021-11-11 09:48:41	ga_ls7e_ard_3-2-0_106077_2021-11-11_final
2021-11-23 10:12:13	ga_ls7e_ard_3-2-1_110077_2021-11-23_final
2021-11-28 10:32:42	ga_ls7e_ard_3-2-1_113083_2021-11-28_final
2021-11-30 08:42:52	ga_ls7e_ard_3-2-1_095087_2021-11-29_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2022-01-14 08:08:49	ga_ls7e_ard_3-2-1_090090_2022-01-13_final
2022-01-26 08:29:11	ga_ls7e_ard_3-2-1_094082_2022-01-25_final
2022-01-29 10:37:04	ga_ls7e_ard_3-2-1_115078_2022-01-29_final
2022-02-07 08:47:31	ga_ls7e_ard_3-2-1_098069_2022-02-06_final
2022-02-27 08:27:36	ga_ls7e_ard_3-2-1_094086_2022-02-26_final
2022-03-08 08:21:20	ga_ls7e_ard_3-2-1_093088_2022-03-07_final
2022-03-18 08:49:25	ga_ls7e_ard_3-2-1_099068_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years