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
2002-06-08 11:33:12	ga_ls7e_ard_3-0-0_114074_2002-06-08_final
2003-12-04 11:35:42	ga_ls7e_ard_3-0-0_114080_2003-12-04_final
2004-11-04 11:35:31	ga_ls7e_ard_3-0-0_114079_2004-11-04_final
2004-11-13 11:28:11	ga_ls7e_ard_3-0-0_113076_2004-11-13_final
2004-11-29 11:27:56	ga_ls7e_ard_3-0-0_113075_2004-11-29_final
2005-02-17 11:25:16	ga_ls7e_ard_3-0-0_113067_2005-02-17_final
2005-05-24 11:25:15	ga_ls7e_ard_3-0-0_113067_2005-05-24_final
2005-05-31 11:35:23	ga_ls7e_ard_3-0-0_114077_2005-05-31_final
2005-07-27 11:31:51	ga_ls7e_ard_3-0-0_113084_2005-07-27_final
2006-01-03 11:29:01	ga_ls7e_ard_3-0-0_113076_2006-01-03_final
2006-02-11 11:34:40	ga_ls7e_ard_3-0-0_114074_2006-02-11_final
2006-12-21 11:25:51	ga_ls7e_ard_3-0-0_113067_2006-12-21_final
2007-04-03 11:35:33	ga_ls7e_ard_3-0-0_114075_2007-04-03_final
2007-06-15 11:28:42	ga_ls7e_ard_3-0-0_113074_2007-06-15_final
2007-07-08 11:32:03	ga_ls7e_ard_3-0-0_114067_2007-07-08_final
2008-02-03 11:25:23	ga_ls7e_ard_3-0-0_112081_2008-02-03_final
2008-11-24 11:24:55	ga_ls7e_ard_3-0-0_113067_2008-11-24_final
2009-02-21 11:26:13	ga_ls7e_ard_3-0-0_112084_2009-02-21_final
2009-10-19 11:25:16	ga_ls7e_ard_3-0-0_112081_2009-10-19_final
2010-07-23 11:44:37	ga_ls7e_ard_3-0-0_115078_2010-07-23_final
2010-08-24 11:43:04	ga_ls7e_ard_3-0-0_115074_2010-08-24_final
2010-09-25 11:45:05	ga_ls7e_ard_3-0-0_115079_2010-09-25_final
2012-01-18 11:45:37	ga_ls7e_ard_3-0-0_115076_2012-01-18_final
2013-01-29 11:43:14	ga_ls7e_ard_3-0-0_114080_2013-01-29_final
2013-02-05 11:47:25	ga_ls7e_ard_3-0-0_115075_2013-02-05_final
2013-03-02 11:37:59	ga_ls7e_ard_3-0-0_114067_2013-03-02_final
2013-03-04 11:28:25	ga_ls7e_ard_3-0-0_112074_2013-03-04_final
2013-03-09 11:48:33	ga_ls7e_ard_3-0-0_115078_2013-03-09_final
2013-08-18 11:36:09	ga_ls7e_ard_3-0-0_113080_2013-08-18_final
2013-11-06 11:34:35	ga_ls7e_ard_3-0-0_113074_2013-11-06_final
2013-11-13 11:43:12	ga_ls7e_ard_3-0-0_114080_2013-11-13_final
2014-02-26 11:38:45	ga_ls7e_ard_3-0-0_113083_2014-02-26_final
2014-10-01 11:30:07	ga_ls7e_ard_3-0-0_112074_2014-10-01_final
2014-11-18 11:34:06	ga_ls7e_ard_3-0-0_112083_2014-11-18_final
2015-03-24 11:43:40	ga_ls7e_ard_3-0-0_114074_2015-03-24_final
2015-04-02 11:38:43	ga_ls7e_ard_3-0-0_113077_2015-04-02_final
2015-04-11 11:31:27	ga_ls7e_ard_3-0-0_112074_2015-04-11_final
2016-05-22 11:40:53	ga_ls7e_ard_3-0-0_113074_2016-05-22_final
2016-06-14 11:49:58	ga_ls7e_ard_3-0-0_114081_2016-06-14_final
2017-01-24 11:49:03	ga_ls7e_ard_3-0-0_114080_2017-01-24_final
2017-02-18 11:44:01	ga_ls7e_ard_3-0-0_113083_2017-02-18_final
2017-11-24 11:48:22	ga_ls7e_ard_3-0-0_114077_2017-11-24_final
2018-01-11 11:48:15	ga_ls7e_ard_3-0-0_114078_2018-01-11_final
2018-03-18 11:36:37	ga_ls7e_ard_3-0-0_112082_2018-03-18_final
2019-01-14 11:39:27	ga_ls7e_ard_3-0-0_114074_2019-01-14_final
2019-08-10 11:34:51	ga_ls7e_ard_3-0-0_114081_2019-08-10_final
2019-11-14 11:28:42	ga_ls7e_ard_3-1-0_114076_2019-11-14_final
2020-02-04 11:15:03	ga_ls7e_ard_3-1-0_112083_2020-02-04_final
2020-03-12 11:29:14	ga_ls7e_ard_3-1-0_115077_2020-03-12_final
2020-04-13 11:26:14	ga_ls7e_ard_3-1-0_115074_2020-04-13_final
2020-08-19 11:19:41	ga_ls7e_ard_3-1-0_115077_2020-08-19_final
2020-11-29 10:33:26	ga_ls7e_ard_3-1-0_109071_2020-11-29_final
2020-12-16 09:40:32	ga_ls7e_ard_3-1-0_100081_2020-12-16_final
2020-12-22 10:39:53	ga_ls7e_ard_3-1-0_110076_2020-12-22_final
2020-12-29 10:48:22	ga_ls7e_ard_3-1-0_111083_2020-12-29_final
2020-12-31 10:33:05	ga_ls7e_ard_3-1-0_109076_2020-12-31_final
2020-12-31 10:33:29	ga_ls7e_ard_3-1-0_109077_2020-12-31_final
2021-01-25 10:26:20	ga_ls7e_ard_3-2-0_108079_2021-01-25_final
2021-02-12 08:37:45	ga_ls7e_ard_3-2-0_090089_2021-02-11_final
2021-02-17 08:55:07	ga_ls7e_ard_3-2-0_093087_2021-02-16_final
2021-02-20 11:02:16	ga_ls7e_ard_3-2-0_114081_2021-02-20_final
2021-02-21 10:03:23	ga_ls7e_ard_3-2-0_105073_2021-02-21_final
2021-02-24 10:34:03	ga_ls7e_ard_3-2-0_110073_2021-02-24_final
2021-03-05 08:52:41	ga_ls7e_ard_3-2-0_093084_2021-03-04_final
2021-03-16 10:08:58	ga_ls7e_ard_3-2-0_106076_2021-03-16_final
2021-04-01 10:05:17	ga_ls7e_ard_3-2-0_106070_2021-04-01_final
2021-04-22 10:27:15	ga_ls7e_ard_3-2-0_109083_2021-04-22_final
2021-04-27 09:02:29	ga_ls7e_ard_3-2-0_096073_2021-04-26_final
2021-05-17 10:15:23	ga_ls7e_ard_3-2-0_108074_2021-05-17_final
2021-06-13 08:18:06	ga_ls7e_ard_3-2-0_089080_2021-06-12_final
2021-06-28 10:48:58	ga_ls7e_ard_3-2-0_114074_2021-06-28_final
2021-07-11 10:17:22	ga_ls7e_ard_3-2-0_109075_2021-07-11_final
2021-07-13 08:30:21	ga_ls7e_ard_3-2-0_091086_2021-07-12_final
2021-07-13 10:07:13	ga_ls7e_ard_3-2-0_107081_2021-07-13_final
2021-08-04 09:27:50	ga_ls7e_ard_3-2-0_101080_2021-08-03_final
2021-08-14 08:24:21	ga_ls7e_ard_3-2-0_091078_2021-08-13_final
2021-08-17 10:35:27	ga_ls7e_ard_3-2-0_112082_2021-08-17_final
2021-09-05 09:24:14	ga_ls7e_ard_3-2-0_101078_2021-09-04_final
2021-09-21 09:20:01	ga_ls7e_ard_3-2-0_101071_2021-09-20_final
2021-09-23 09:07:53	ga_ls7e_ard_3-2-0_099072_2021-09-22_final
2021-09-26 09:41:42	ga_ls7e_ard_3-2-0_104080_2021-09-26_final
2021-10-03 08:09:11	ga_ls7e_ard_3-2-0_089082_2021-10-02_final
2021-10-11 08:57:08	ga_ls7e_ard_3-2-0_097080_2021-10-10_final
2021-10-29 10:22:49	ga_ls7e_ard_3-2-0_111082_2021-10-29_final
2021-11-14 10:22:05	ga_ls7e_ard_3-2-1_111084_2021-11-14_final
2021-11-18 08:17:42	ga_ls7e_ard_3-2-1_091083_2021-11-17_final
2021-11-26 08:59:58	ga_ls7e_ard_3-2-1_099067_2021-11-25_final
2021-12-01 09:19:39	ga_ls7e_ard_3-2-1_102071_2021-11-30_final
2021-12-02 10:04:01	ga_ls7e_ard_3-2-1_109074_2021-12-02_final
2021-12-05 08:53:45	ga_ls7e_ard_3-2-1_098069_2021-12-04_final
2021-12-05 08:54:09	ga_ls7e_ard_3-2-1_098070_2021-12-04_final
2021-12-07 10:25:40	ga_ls7e_ard_3-2-1_112083_2021-12-07_final
2021-12-26 09:13:51	ga_ls7e_ard_3-2-1_101078_2021-12-25_final
2022-01-03 08:27:36	ga_ls7e_ard_3-2-1_093088_2022-01-02_final
2022-01-14 08:08:01	ga_ls7e_ard_3-2-1_090088_2022-01-13_final
2022-01-19 10:03:22	ga_ls7e_ard_3-2-1_109084_2022-01-19_final
2022-02-06 08:11:56	ga_ls7e_ard_3-2-1_091088_2022-02-05_final
2022-03-04 08:43:39	ga_ls7e_ard_3-2-1_097081_2022-03-03_final
2022-03-17 08:12:39	ga_ls7e_ard_3-2-1_092084_2022-03-16_final
2022-03-20 08:43:15	ga_ls7e_ard_3-2-1_097084_2022-03-19_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