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
1999-07-08 09:25:25	ga_ls7e_ard_3-1-0_092084_1999-07-07_final
1999-07-10 09:14:40	ga_ls7e_ard_3-0-0_090088_1999-07-09_final
2000-12-13 09:48:34	ga_ls7e_ard_3-1-0_096086_2000-12-13_final
2001-05-12 09:11:02	ga_ls7e_ard_3-0-0_090086_2001-05-11_final
2001-11-26 10:08:16	ga_ls7e_ard_3-0-0_100078_2001-11-26_final
2002-03-11 09:59:15	ga_ls7e_ard_3-0-0_099070_2002-03-11_final
2003-01-17 10:50:13	ga_ls7e_ard_3-0-0_107075_2003-01-17_final
2003-02-17 10:09:35	ga_ls7e_ard_3-0-0_100081_2003-02-17_final
2003-08-06 09:09:04	ga_ls7e_ard_3-1-0_090085_2003-08-05_final
2003-11-17 10:50:46	ga_ls7e_ard_3-0-0_107076_2003-11-17_final
2003-12-02 10:07:10	ga_ls7e_ard_3-0-0_100075_2003-12-02_final
2003-12-17 09:20:50	ga_ls7e_ard_3-0-0_093067_2003-12-16_final
2004-10-18 10:50:01	ga_ls7e_ard_3-0-0_107074_2004-10-18_final
2004-11-05 09:01:01	ga_ls7e_ard_3-0-0_089079_2004-11-04_final
2004-11-19 10:51:08	ga_ls7e_ard_3-0-0_107076_2004-11-19_final
2005-03-11 10:54:15	ga_ls7e_ard_3-0-0_107082_2005-03-11_final
2005-03-12 11:31:32	ga_ls7e_ard_3-0-0_114067_2005-03-12_final
2005-03-13 09:04:13	ga_ls7e_ard_3-0-0_089085_2005-03-12_final
2005-04-28 10:49:20	ga_ls7e_ard_3-0-0_107070_2005-04-28_final
2005-08-02 10:51:33	ga_ls7e_ard_3-0-0_107076_2005-08-02_final
2005-11-07 11:36:26	ga_ls7e_ard_3-0-0_114080_2005-11-07_final
2006-02-08 09:26:28	ga_ls7e_ard_3-0-0_093078_2006-02-07_final
2006-06-27 10:45:31	ga_ls7e_ard_3-1-0_106075_2006-06-27_final
2006-08-14 09:10:46	ga_ls7e_ard_3-0-0_090086_2006-08-13_final
2006-10-31 10:57:40	ga_ls7e_ard_3-1-0_108075_2006-10-31_final
2006-12-11 10:49:55	ga_ls7e_ard_3-0-0_107070_2006-12-11_final
2007-04-02 10:51:06	ga_ls7e_ard_3-0-0_107072_2007-04-02_final
2007-04-17 10:07:49	ga_ls7e_ard_3-0-0_100072_2007-04-17_final
2007-09-11 09:01:09	ga_ls7e_ard_3-0-0_089077_2007-09-10_final
2007-09-30 09:30:46	ga_ls7e_ard_3-0-0_094074_2007-09-30_final
2007-11-01 09:30:36	ga_ls7e_ard_3-0-0_094073_2007-11-01_final
2007-12-22 10:05:50	ga_ls7e_ard_3-0-0_099083_2007-12-22_final
2008-04-04 10:50:19	ga_ls7e_ard_3-0-0_107071_2008-04-04_final
2008-07-19 11:30:11	ga_ls7e_ard_3-0-0_113080_2008-07-19_final
2008-07-24 10:06:12	ga_ls7e_ard_3-0-0_100071_2008-07-24_final
2009-03-22 10:51:10	ga_ls7e_ard_3-0-0_107073_2009-03-22_final
2009-09-10 09:36:58	ga_ls7e_ard_3-1-0_095073_2009-09-10_final
2010-08-02 10:43:37	ga_ls7e_ard_3-1-0_105080_2010-08-02_final
2010-08-14 09:31:03	ga_ls7e_ard_3-0-0_093084_2010-08-14_final
2010-12-16 11:31:28	ga_ls7e_ard_3-0-0_113074_2010-12-16_final
2011-01-06 10:14:55	ga_ls7e_ard_3-0-0_100083_2011-01-06_final
2011-09-22 09:05:47	ga_ls7e_ard_3-0-0_089080_2011-09-21_final
2012-04-13 09:26:06	ga_ls7e_ard_3-0-0_093067_2012-04-12_final
2013-03-09 10:05:16	ga_ls7e_ard_3-0-0_099067_2013-03-09_final
2013-06-19 09:30:29	ga_ls7e_ard_3-0-0_093074_2013-06-19_final
2013-09-09 10:55:21	ga_ls7e_ard_3-0-0_107070_2013-09-09_final
2014-06-08 09:24:41	ga_ls7e_ard_3-1-0_091086_2014-06-07_final
2014-06-08 11:02:46	ga_ls7e_ard_3-0-0_107084_2014-06-08_final
2014-08-09 09:37:41	ga_ls7e_ard_3-0-0_093087_2014-08-09_final
2014-08-11 11:03:01	ga_ls7e_ard_3-0-0_107084_2014-08-11_final
2014-12-25 10:09:39	ga_ls7e_ard_3-0-0_099072_2014-12-25_final
2015-04-16 10:09:33	ga_ls7e_ard_3-0-0_099070_2015-04-16_final
2015-05-02 10:09:14	ga_ls7e_ard_3-0-0_099069_2015-05-02_final
2015-05-11 11:44:02	ga_ls7e_ard_3-0-0_114074_2015-05-11_final
2015-05-12 09:15:55	ga_ls7e_ard_3-0-0_089090_2015-05-11_final
2015-05-25 10:17:34	ga_ls7e_ard_3-0-0_100074_2015-05-25_final
2015-09-23 10:13:05	ga_ls7e_ard_3-0-0_099077_2015-09-23_final
2015-11-01 10:19:45	ga_ls7e_ard_3-0-0_100077_2015-11-01_final
2015-11-25 09:29:55	ga_ls7e_ard_3-1-0_092075_2015-11-24_final
2016-03-01 10:11:53	ga_ls7e_ard_3-0-0_099069_2016-03-01_final
2016-12-12 10:27:08	ga_ls7e_ard_3-1-0_101075_2016-12-12_final
2017-01-31 10:11:56	ga_ls7e_ard_3-0-0_099069_2017-01-31_final
2017-12-08 10:19:20	ga_ls7e_ard_3-0-0_100071_2017-12-08_final
2018-09-15 10:07:27	ga_ls7e_ard_3-0-0_099068_2018-09-15_final
2019-03-04 10:43:07	ga_ls7e_ard_3-1-0_105076_2019-03-04_final
2019-03-05 11:25:32	ga_ls7e_ard_3-1-0_112074_2019-03-05_final
2019-03-20 10:42:35	ga_ls7e_ard_3-1-0_105076_2019-03-20_final
2019-05-29 10:04:33	ga_ls7e_ard_3-0-0_099080_2019-05-29_final
2019-09-11 11:31:53	ga_ls7e_ard_3-1-0_114077_2019-09-11_final
2019-10-05 09:06:07	ga_ls7e_ard_3-1-0_090086_2019-10-04_final
2019-10-20 09:56:19	ga_ls7e_ard_3-1-0_099074_2019-10-20_final
2019-11-02 11:02:56	ga_ls7e_ard_3-1-0_110072_2019-11-02_final
2019-11-28 10:01:55	ga_ls7e_ard_3-1-0_100077_2019-11-28_final
2019-12-04 11:02:38	ga_ls7e_ard_3-1-0_110075_2019-12-04_final
2019-12-07 09:52:54	ga_ls7e_ard_3-1-0_099071_2019-12-07_final
2020-01-19 09:32:11	ga_ls7e_ard_3-1-0_096071_2020-01-19_final
2020-01-21 10:59:00	ga_ls7e_ard_3-1-0_110072_2020-01-21_final
2020-02-04 11:15:27	ga_ls7e_ard_3-1-0_112084_2020-02-04_final
2020-02-06 11:02:59	ga_ls7e_ard_3-1-0_110084_2020-02-06_final
2020-02-14 10:07:57	ga_ls7e_ard_3-1-0_102071_2020-02-14_final
2020-03-09 10:57:42	ga_ls7e_ard_3-1-0_110075_2020-03-09_final
2020-05-15 11:25:55	ga_ls7e_ard_3-1-0_115078_2020-05-15_final
2020-06-18 11:09:57	ga_ls7e_ard_3-1-0_113074_2020-06-18_final
2020-07-01 09:04:11	ga_ls7e_ard_3-1-0_092086_2020-06-30_final
2020-08-02 10:37:06	ga_ls7e_ard_3-1-0_108076_2020-08-02_final
2021-03-25 08:24:23	ga_ls7e_ard_3-2-0_089079_2021-03-24_final
2021-05-02 09:19:49	ga_ls7e_ard_3-2-0_099071_2021-05-01_final
2021-07-02 10:27:54	ga_ls7e_ard_3-2-0_110084_2021-07-02_final
2021-07-27 08:41:06	ga_ls7e_ard_3-2-0_093085_2021-07-26_final
2021-08-03 08:46:39	ga_ls7e_ard_3-2-0_094085_2021-08-02_final
2021-08-10 10:25:30	ga_ls7e_ard_3-2-0_111071_2021-08-10_final
2021-09-01 08:10:50	ga_ls7e_ard_3-2-0_089079_2021-08-31_final
2021-09-22 08:29:54	ga_ls7e_ard_3-2-0_092085_2021-09-21_final
2021-09-23 09:07:05	ga_ls7e_ard_3-2-0_099070_2021-09-22_final
2021-10-16 09:16:25	ga_ls7e_ard_3-2-0_100083_2021-10-15_final
2021-11-03 10:34:54	ga_ls7e_ard_3-2-0_114067_2021-11-03_final
2021-11-21 08:49:06	ga_ls7e_ard_3-2-1_096085_2021-11-20_final
2021-12-12 09:02:52	ga_ls7e_ard_3-2-1_099078_2021-12-11_final
2021-12-25 10:07:59	ga_ls7e_ard_3-2-1_110074_2021-12-25_final
2022-02-08 07:57:23	ga_ls7e_ard_3-2-1_089083_2022-02-07_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