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
2000-01-17 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-17_final
2000-03-30 11:38:21	ga_ls7e_ard_3-1-0_114077_2000-03-30_final
2000-10-24 11:34:53	ga_ls7e_ard_3-0-0_114074_2000-10-24_final
2002-08-18 11:39:22	ga_ls7e_ard_3-0-0_115075_2002-08-18_final
2003-05-01 11:40:46	ga_ls7e_ard_3-1-0_115077_2003-05-01_final
2003-12-20 11:33:27	ga_ls7e_ard_3-1-0_114074_2003-12-20_final
2004-06-29 11:35:14	ga_ls7e_ard_3-0-0_114078_2004-06-29_final
2004-11-04 11:33:55	ga_ls7e_ard_3-0-0_114075_2004-11-04_final
2004-11-20 11:35:36	ga_ls7e_ard_3-0-0_114079_2004-11-20_final
2005-09-11 11:40:42	ga_ls7e_ard_3-0-0_115076_2005-09-11_final
2005-10-22 11:33:51	ga_ls7e_ard_3-0-0_114074_2005-10-22_final
2006-01-01 11:41:45	ga_ls7e_ard_3-1-0_115077_2006-01-01_final
2006-03-06 11:42:06	ga_ls7e_ard_3-1-0_115077_2006-03-06_final
2006-12-19 11:41:23	ga_ls7e_ard_3-0-0_115075_2006-12-19_final
2007-07-08 11:34:51	ga_ls7e_ard_3-0-0_114074_2007-07-08_final
2007-09-10 11:34:28	ga_ls7e_ard_3-0-0_114074_2007-09-10_final
2007-12-15 11:35:44	ga_ls7e_ard_3-0-0_114076_2007-12-15_final
2008-07-26 11:35:30	ga_ls7e_ard_3-0-0_114078_2008-07-26_final
2008-08-11 11:36:12	ga_ls7e_ard_3-0-0_114080_2008-08-11_final
2009-09-06 11:41:46	ga_ls7e_ard_3-0-0_115076_2009-09-06_final
2010-02-22 11:37:24	ga_ls7e_ard_3-0-0_114076_2010-02-22_final
2010-08-17 11:38:51	ga_ls7e_ard_3-0-0_114079_2010-08-17_final
2010-10-04 11:37:16	ga_ls7e_ard_3-0-0_114075_2010-10-04_final
2011-05-07 11:46:25	ga_ls7e_ard_3-0-0_115079_2011-05-07_final
2011-07-03 11:38:33	ga_ls7e_ard_3-0-0_114075_2011-07-03_final
2011-10-14 11:46:03	ga_ls7e_ard_3-0-0_115079_2011-10-14_final
2011-12-10 11:39:12	ga_ls7e_ard_3-0-0_114076_2011-12-10_final
2011-12-17 11:45:02	ga_ls7e_ard_3-0-0_115075_2011-12-17_final
2012-08-29 11:48:03	ga_ls7e_ard_3-0-0_115079_2012-08-29_final
2013-03-18 11:41:56	ga_ls7e_ard_3-0-0_114077_2013-03-18_final
2013-05-05 11:41:19	ga_ls7e_ard_3-0-0_114076_2013-05-05_final
2014-10-31 11:42:47	ga_ls7e_ard_3-0-0_114074_2014-10-31_final
2015-04-25 11:44:17	ga_ls7e_ard_3-0-0_114075_2015-04-25_final
2015-08-15 11:46:04	ga_ls7e_ard_3-0-0_114078_2015-08-15_final
2015-11-19 11:45:24	ga_ls7e_ard_3-0-0_114074_2015-11-19_final
2016-11-05 11:49:39	ga_ls7e_ard_3-0-0_114080_2016-11-05_final
2017-08-04 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-08-04_final
2017-12-10 11:49:26	ga_ls7e_ard_3-0-0_114080_2017-12-10_final
2018-04-01 11:47:59	ga_ls7e_ard_3-0-0_114080_2018-04-01_final
2018-04-24 11:52:12	ga_ls7e_ard_3-0-0_115076_2018-04-24_final
2018-09-15 11:49:08	ga_ls7e_ard_3-0-0_115075_2018-09-15_final
2018-12-13 11:41:36	ga_ls7e_ard_3-0-0_114077_2018-12-13_final
2019-09-11 11:31:05	ga_ls7e_ard_3-1-0_114075_2019-09-11_final
2019-10-20 11:37:12	ga_ls7e_ard_3-1-0_115079_2019-10-20_final
2019-12-07 11:33:47	ga_ls7e_ard_3-1-0_115076_2019-12-07_final
2020-05-08 11:20:10	ga_ls7e_ard_3-1-0_114078_2020-05-08_final
2020-09-13 11:12:16	ga_ls7e_ard_3-1-0_114078_2020-09-13_final
2020-11-23 09:36:03	ga_ls7e_ard_3-1-0_099081_2020-11-23_final
2020-12-13 09:09:28	ga_ls7e_ard_3-1-0_095080_2020-12-12_final
2020-12-26 08:41:35	ga_ls7e_ard_3-1-0_090090_2020-12-25_final
2020-12-31 10:32:17	ga_ls7e_ard_3-1-0_109074_2020-12-31_final
2021-01-07 09:04:17	ga_ls7e_ard_3-1-0_094087_2021-01-06_final
2021-01-09 08:50:59	ga_ls7e_ard_3-1-0_092085_2021-01-08_final
2021-01-09 08:51:23	ga_ls7e_ard_3-1-0_092086_2021-01-08_final
2021-01-16 10:29:34	ga_ls7e_ard_3-1-0_109070_2021-01-16_final
2021-02-17 10:28:24	ga_ls7e_ard_3-2-0_109073_2021-02-17_final
2021-03-10 09:06:51	ga_ls7e_ard_3-2-0_096074_2021-03-09_final
2021-04-17 08:31:27	ga_ls7e_ard_3-2-0_090086_2021-04-16_final
2021-04-22 10:22:28	ga_ls7e_ard_3-2-0_109071_2021-04-22_final
2021-04-25 09:16:37	ga_ls7e_ard_3-2-0_098077_2021-04-24_final
2021-04-30 09:33:56	ga_ls7e_ard_3-2-0_101075_2021-04-30_final
2021-05-01 10:17:07	ga_ls7e_ard_3-2-0_108075_2021-05-01_final
2021-05-10 10:11:23	ga_ls7e_ard_3-2-0_107078_2021-05-10_final
2021-05-12 10:00:03	ga_ls7e_ard_3-2-0_105081_2021-05-12_final
2021-05-15 08:49:02	ga_ls7e_ard_3-2-0_094074_2021-05-14_final
2021-05-29 10:43:04	ga_ls7e_ard_3-2-0_112084_2021-05-29_final
2021-06-25 08:43:01	ga_ls7e_ard_3-2-0_093083_2021-06-24_final
2021-07-04 08:36:53	ga_ls7e_ard_3-2-0_092085_2021-07-03_final
2021-07-09 10:29:53	ga_ls7e_ard_3-2-0_111075_2021-07-09_final
2021-07-13 08:28:45	ga_ls7e_ard_3-2-0_091082_2021-07-12_final
2021-07-26 09:30:25	ga_ls7e_ard_3-2-0_102069_2021-07-26_final
2021-07-30 09:08:08	ga_ls7e_ard_3-2-0_098076_2021-07-29_final
2021-08-05 10:08:13	ga_ls7e_ard_3-2-0_108073_2021-08-05_final
2021-08-16 09:47:05	ga_ls7e_ard_3-2-0_105069_2021-08-16_final
2021-08-22 09:13:53	ga_ls7e_ard_3-2-0_099080_2021-08-21_final
2021-08-22 09:14:41	ga_ls7e_ard_3-2-0_099082_2021-08-21_final
2021-08-27 09:32:00	ga_ls7e_ard_3-2-0_102080_2021-08-27_final
2021-08-31 10:43:49	ga_ls7e_ard_3-2-0_114075_2021-08-31_final
2021-09-01 09:46:07	ga_ls7e_ard_3-2-0_105070_2021-09-01_final
2021-09-01 09:47:19	ga_ls7e_ard_3-2-0_105073_2021-09-01_final
2021-09-01 09:50:30	ga_ls7e_ard_3-2-0_105081_2021-09-01_final
2021-09-02 10:33:40	ga_ls7e_ard_3-2-0_112081_2021-09-02_final
2021-09-04 10:22:20	ga_ls7e_ard_3-2-0_110084_2021-09-04_final
2021-09-07 09:13:18	ga_ls7e_ard_3-2-0_099082_2021-09-06_final
2021-09-13 10:10:35	ga_ls7e_ard_3-2-0_109072_2021-09-13_final
2021-09-25 09:00:32	ga_ls7e_ard_3-2-0_097085_2021-09-24_final
2021-09-27 08:43:36	ga_ls7e_ard_3-2-0_095074_2021-09-26_final
2021-11-01 09:15:21	ga_ls7e_ard_3-2-0_100084_2021-10-31_final
2021-11-03 09:01:36	ga_ls7e_ard_3-2-0_098081_2021-11-02_final
2021-11-09 10:00:26	ga_ls7e_ard_3-2-0_108075_2021-11-09_final
2021-11-11 09:47:53	ga_ls7e_ard_3-2-0_106075_2021-11-11_final
2021-11-15 09:23:34	ga_ls7e_ard_3-2-1_102077_2021-11-14_final
2022-01-10 08:30:43	ga_ls7e_ard_3-2-1_094082_2022-01-09_final
2022-01-11 09:10:41	ga_ls7e_ard_3-2-1_101074_2022-01-10_final
2022-01-29 10:37:52	ga_ls7e_ard_3-2-1_115080_2022-01-29_final
2022-01-30 08:02:52	ga_ls7e_ard_3-2-1_090079_2022-01-29_final
2022-03-20 08:41:40	ga_ls7e_ard_3-2-1_097080_2022-03-19_final
2022-03-26 09:40:30	ga_ls7e_ard_3-2-1_107074_2022-03-26_final
2022-03-27 08:49:11	ga_ls7e_ard_3-2-1_098085_2022-03-26_final
2022-03-29 08:36:14	ga_ls7e_ard_3-2-1_096084_2022-03-28_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