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
2000-08-30 11:32:09	ga_ls7e_ard_3-0-0_113081_2000-08-30_final
2002-04-12 11:40:01	ga_ls7e_ard_3-0-0_115075_2002-04-12_final
2002-04-12 11:41:13	ga_ls7e_ard_3-0-0_115078_2002-04-12_final
2003-08-21 11:39:36	ga_ls7e_ard_3-0-0_115075_2003-08-21_final
2003-09-22 11:41:00	ga_ls7e_ard_3-0-0_115079_2003-09-22_final
2003-09-24 11:26:38	ga_ls7e_ard_3-0-0_113074_2003-09-24_final
2003-12-29 11:27:21	ga_ls7e_ard_3-0-0_113074_2003-12-29_final
2004-02-06 11:33:44	ga_ls7e_ard_3-0-0_114074_2004-02-06_final
2004-02-24 11:21:21	ga_ls7e_ard_3-0-0_112074_2004-02-24_final
2004-02-29 11:41:32	ga_ls7e_ard_3-0-0_115078_2004-02-29_final
2004-05-30 11:25:00	ga_ls7e_ard_3-0-0_112083_2004-05-30_final
2004-09-08 11:41:05	ga_ls7e_ard_3-0-0_115078_2004-09-08_final
2004-09-17 11:35:39	ga_ls7e_ard_3-0-0_114080_2004-09-17_final
2004-12-29 11:40:32	ga_ls7e_ard_3-0-0_115075_2004-12-29_final
2005-04-20 11:41:55	ga_ls7e_ard_3-0-0_115078_2005-04-20_final
2005-07-25 11:41:49	ga_ls7e_ard_3-0-0_115078_2005-07-25_final
2006-01-19 11:31:33	ga_ls7e_ard_3-0-0_113082_2006-01-19_final
2006-03-01 11:22:22	ga_ls7e_ard_3-0-0_112074_2006-03-01_final
2006-04-11 11:17:19	ga_ls7e_ard_3-0-0_111077_2006-04-11_final
2008-10-23 11:27:39	ga_ls7e_ard_3-0-0_113075_2008-10-23_final
2008-11-24 11:31:18	ga_ls7e_ard_3-0-0_113083_2008-11-24_final
2009-01-20 11:21:59	ga_ls7e_ard_3-0-0_112074_2009-01-20_final
2009-10-26 11:28:46	ga_ls7e_ard_3-0-0_113074_2009-10-26_final
2010-01-05 11:37:11	ga_ls7e_ard_3-0-0_114077_2010-01-05_final
2010-10-22 11:24:43	ga_ls7e_ard_3-0-0_112074_2010-10-22_final
2011-07-05 11:25:47	ga_ls7e_ard_3-0-0_112074_2011-07-05_final
2011-11-15 11:45:58	ga_ls7e_ard_3-0-0_115078_2011-11-15_final
2012-01-27 11:38:38	ga_ls7e_ard_3-0-0_114074_2012-01-27_final
2012-04-16 11:41:05	ga_ls7e_ard_3-0-0_114080_2012-04-16_final
2012-04-25 11:32:44	ga_ls7e_ard_3-0-0_113074_2012-04-25_final
2012-11-17 11:48:46	ga_ls7e_ard_3-0-0_115079_2012-11-17_final
2012-12-07 11:25:16	ga_ls7e_ard_3-1-0_111082_2012-12-07_final
2013-07-03 11:24:47	ga_ls7e_ard_3-1-0_111082_2013-07-03_final
2013-09-01 11:46:41	ga_ls7e_ard_3-0-0_115075_2013-09-01_final
2014-02-01 11:43:53	ga_ls7e_ard_3-0-0_114080_2014-02-01_final
2014-03-12 11:48:01	ga_ls7e_ard_3-0-0_115075_2014-03-12_final
2014-10-31 11:39:59	ga_ls7e_ard_3-0-0_114067_2014-10-31_final
2015-07-16 11:32:00	ga_ls7e_ard_3-0-0_112074_2015-07-16_final
2016-02-14 11:54:40	ga_ls7e_ard_3-0-0_115079_2016-02-14_final
2016-12-14 11:55:15	ga_ls7e_ard_3-0-0_115079_2016-12-14_final
2017-08-31 11:31:53	ga_ls7e_ard_3-1-0_111082_2017-08-31_final
2017-10-25 11:34:54	ga_ls7e_ard_3-0-0_112074_2017-10-25_final
2017-11-01 11:38:17	ga_ls7e_ard_3-0-0_113067_2017-11-01_final
2018-05-19 11:42:00	ga_ls7e_ard_3-0-0_114067_2018-05-19_final
2018-08-30 11:51:04	ga_ls7e_ard_3-0-0_115079_2018-08-30_final
2019-10-22 11:22:45	ga_ls7e_ard_3-1-0_113074_2019-10-22_final
2019-11-05 11:36:06	ga_ls7e_ard_3-1-0_115078_2019-11-05_final
2020-03-14 11:12:47	ga_ls7e_ard_3-1-0_113067_2020-03-14_final
2020-04-15 11:10:58	ga_ls7e_ard_3-1-0_113067_2020-04-15_final
2020-12-10 08:37:36	ga_ls7e_ard_3-1-0_090077_2020-12-09_final
2020-12-26 10:14:05	ga_ls7e_ard_3-1-0_106074_2020-12-26_final
2021-01-03 09:25:41	ga_ls7e_ard_3-1-0_098078_2021-01-02_final
2021-01-04 08:32:24	ga_ls7e_ard_3-1-0_089084_2021-01-03_final
2021-01-12 10:56:10	ga_ls7e_ard_3-1-0_113074_2021-01-12_final
2021-01-20 10:06:09	ga_ls7e_ard_3-2-0_105074_2021-01-20_final
2021-01-23 10:36:02	ga_ls7e_ard_3-2-0_110072_2021-01-23_final
2021-01-24 09:41:33	ga_ls7e_ard_3-2-0_101075_2021-01-24_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-02-06 10:48:10	ga_ls7e_ard_3-2-0_112074_2021-02-06_final
2021-02-11 09:26:40	ga_ls7e_ard_3-2-0_099072_2021-02-10_final
2021-02-13 09:13:45	ga_ls7e_ard_3-2-0_097071_2021-02-12_final
2021-02-27 09:30:14	ga_ls7e_ard_3-2-0_099084_2021-02-27_final
2021-03-09 08:28:03	ga_ls7e_ard_3-2-0_089085_2021-03-08_final
2021-03-14 10:19:06	ga_ls7e_ard_3-2-0_108070_2021-03-14_final
2021-03-16 08:35:41	ga_ls7e_ard_3-2-0_090090_2021-03-15_final
2021-04-01 10:07:16	ga_ls7e_ard_3-2-0_106075_2021-04-01_final
2021-04-29 10:27:39	ga_ls7e_ard_3-2-0_110070_2021-04-29_final
2021-06-05 10:48:15	ga_ls7e_ard_3-2-0_113083_2021-06-05_final
2021-06-13 08:17:42	ga_ls7e_ard_3-2-0_089079_2021-06-12_final
2021-06-21 09:06:05	ga_ls7e_ard_3-2-0_097078_2021-06-20_final
2021-06-21 10:46:57	ga_ls7e_ard_3-2-0_113083_2021-06-21_final
2021-06-23 10:34:26	ga_ls7e_ard_3-2-0_111083_2021-06-23_final
2021-07-02 10:22:19	ga_ls7e_ard_3-2-0_110070_2021-07-02_final
2021-08-09 09:46:44	ga_ls7e_ard_3-2-0_104082_2021-08-09_final
2021-08-21 10:05:36	ga_ls7e_ard_3-2-0_108070_2021-08-21_final
2021-09-08 09:52:29	ga_ls7e_ard_3-2-0_106072_2021-09-08_final
2021-09-27 10:21:17	ga_ls7e_ard_3-2-0_111071_2021-09-27_final
2021-10-12 09:41:06	ga_ls7e_ard_3-2-0_104082_2021-10-12_final
2021-10-14 09:23:46	ga_ls7e_ard_3-2-0_102070_2021-10-13_final
2021-10-24 08:28:15	ga_ls7e_ard_3-2-0_092088_2021-10-23_final
2021-10-29 08:44:20	ga_ls7e_ard_3-2-0_095083_2021-10-28_final
2021-11-03 09:00:01	ga_ls7e_ard_3-2-0_098077_2021-11-02_final
2021-11-19 08:54:28	ga_ls7e_ard_3-2-1_098067_2021-11-18_final
2021-12-11 09:57:23	ga_ls7e_ard_3-2-1_108075_2021-12-11_final
2021-12-12 08:59:40	ga_ls7e_ard_3-2-1_099070_2021-12-11_final
2021-12-13 08:09:57	ga_ls7e_ard_3-2-1_090085_2021-12-12_final
2022-01-03 08:27:36	ga_ls7e_ard_3-2-1_093088_2022-01-02_final
2022-01-05 08:13:02	ga_ls7e_ard_3-2-1_091083_2022-01-04_final
2022-01-07 09:33:23	ga_ls7e_ard_3-2-1_105068_2022-01-07_final
2022-01-23 07:58:35	ga_ls7e_ard_3-2-1_089082_2022-01-22_final
2022-01-29 10:37:04	ga_ls7e_ard_3-2-1_115078_2022-01-29_final
2022-02-04 09:58:11	ga_ls7e_ard_3-2-1_109075_2022-02-04_final
2022-02-08 09:33:28	ga_ls7e_ard_3-2-1_105076_2022-02-08_final
2022-02-20 09:56:34	ga_ls7e_ard_3-2-1_109075_2022-02-20_final
2022-03-11 08:44:45	ga_ls7e_ard_3-2-1_098070_2022-03-10_final
2022-03-11 08:45:09	ga_ls7e_ard_3-2-1_098071_2022-03-10_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-20 08:38:52	ga_ls7e_ard_3-2-1_097073_2022-03-19_final
2022-03-20 10:21:44	ga_ls7e_ard_3-2-1_113083_2022-03-20_final
2022-03-27 10:26:04	ga_ls7e_ard_3-2-1_114080_2022-03-27_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