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
2000-05-24 11:43:34	ga_ls7e_ard_3-0-0_115076_2000-05-24_final
2000-12-02 11:43:09	ga_ls7e_ard_3-0-0_115079_2000-12-02_final
2001-03-17 11:36:05	ga_ls7e_ard_3-0-0_114077_2001-03-17_final
2001-05-04 11:36:41	ga_ls7e_ard_3-0-0_114079_2001-05-04_final
2001-12-21 11:41:05	ga_ls7e_ard_3-0-0_115078_2001-12-21_final
2002-01-06 11:41:30	ga_ls7e_ard_3-0-0_115079_2002-01-06_final
2002-11-15 11:34:34	ga_ls7e_ard_3-0-0_114079_2002-11-15_final
2003-08-05 11:39:59	ga_ls7e_ard_3-0-0_115076_2003-08-05_final
2004-07-06 11:39:49	ga_ls7e_ard_3-0-0_115074_2004-07-06_final
2004-09-17 11:33:39	ga_ls7e_ard_3-0-0_114075_2004-09-17_final
2005-03-12 11:36:19	ga_ls7e_ard_3-0-0_114079_2005-03-12_final
2005-04-20 11:41:08	ga_ls7e_ard_3-0-0_115076_2005-04-20_final
2005-10-22 11:33:51	ga_ls7e_ard_3-0-0_114074_2005-10-22_final
2005-12-09 11:35:26	ga_ls7e_ard_3-0-0_114077_2005-12-09_final
2005-12-16 11:40:26	ga_ls7e_ard_3-0-0_115074_2005-12-16_final
2005-12-25 11:34:18	ga_ls7e_ard_3-0-0_114074_2005-12-25_final
2006-12-19 11:42:35	ga_ls7e_ard_3-0-0_115078_2006-12-19_final
2007-06-13 11:41:28	ga_ls7e_ard_3-0-0_115075_2007-06-13_final
2007-07-08 11:36:03	ga_ls7e_ard_3-0-0_114077_2007-07-08_final
2007-10-12 11:34:46	ga_ls7e_ard_3-0-0_114075_2007-10-12_final
2007-11-13 11:35:07	ga_ls7e_ard_3-0-0_114075_2007-11-13_final
2008-05-30 11:41:05	ga_ls7e_ard_3-0-0_115075_2008-05-30_final
2008-10-14 11:35:40	ga_ls7e_ard_3-0-0_114080_2008-10-14_final
2009-03-30 11:43:03	ga_ls7e_ard_3-0-0_115079_2009-03-30_final
2009-07-13 11:36:33	ga_ls7e_ard_3-0-0_114078_2009-07-13_final
2009-11-02 11:35:03	ga_ls7e_ard_3-0-0_114074_2009-11-02_final
2009-11-25 11:43:08	ga_ls7e_ard_3-0-0_115078_2009-11-25_final
2011-04-14 11:39:50	ga_ls7e_ard_3-0-0_114078_2011-04-14_final
2011-04-21 11:44:48	ga_ls7e_ard_3-0-0_115075_2011-04-21_final
2012-09-23 11:42:32	ga_ls7e_ard_3-0-0_114080_2012-09-23_final
2012-10-16 11:48:32	ga_ls7e_ard_3-0-0_115079_2012-10-16_final
2013-10-19 11:48:02	ga_ls7e_ard_3-0-0_115077_2013-10-19_final
2016-04-27 11:47:22	ga_ls7e_ard_3-0-0_114075_2016-04-27_final
2016-09-09 11:53:55	ga_ls7e_ard_3-0-0_115075_2016-09-09_final
2017-03-04 11:53:42	ga_ls7e_ard_3-0-0_115076_2017-03-04_final
2017-07-10 11:55:04	ga_ls7e_ard_3-0-0_115078_2017-07-10_final
2018-02-03 11:52:28	ga_ls7e_ard_3-0-0_115074_2018-02-03_final
2018-04-08 11:53:40	ga_ls7e_ard_3-0-0_115079_2018-04-08_final
2018-10-01 11:48:45	ga_ls7e_ard_3-0-0_115075_2018-10-01_final
2018-12-04 11:47:14	ga_ls7e_ard_3-0-0_115075_2018-12-04_final
2019-02-06 11:45:42	ga_ls7e_ard_3-0-0_115076_2019-02-06_final
2020-01-17 11:26:19	ga_ls7e_ard_3-1-0_114078_2020-01-17_final
2020-06-25 11:15:43	ga_ls7e_ard_3-1-0_114074_2020-06-25_final
2020-10-31 11:09:57	ga_ls7e_ard_3-1-0_114080_2020-10-31_final
2020-12-11 09:23:34	ga_ls7e_ard_3-1-0_097084_2020-12-10_final
2020-12-26 10:16:28	ga_ls7e_ard_3-1-0_106080_2020-12-26_final
2021-01-10 11:10:16	ga_ls7e_ard_3-1-0_115078_2021-01-10_final
2021-01-16 10:30:46	ga_ls7e_ard_3-1-0_109073_2021-01-16_final
2021-01-26 09:32:38	ga_ls7e_ard_3-2-0_099084_2021-01-26_final
2021-02-01 10:33:36	ga_ls7e_ard_3-2-0_109083_2021-02-01_final
2021-02-24 10:37:39	ga_ls7e_ard_3-2-0_110082_2021-02-24_final
2021-03-05 10:28:46	ga_ls7e_ard_3-2-0_109077_2021-03-05_final
2021-03-08 10:58:38	ga_ls7e_ard_3-2-0_114075_2021-03-08_final
2021-04-06 10:27:48	ga_ls7e_ard_3-2-0_109081_2021-04-06_final
2021-04-15 08:44:47	ga_ls7e_ard_3-2-0_092088_2021-04-14_final
2021-04-17 08:32:39	ga_ls7e_ard_3-2-0_090089_2021-04-16_final
2021-04-25 09:16:37	ga_ls7e_ard_3-2-0_098077_2021-04-24_final
2021-05-03 10:02:12	ga_ls7e_ard_3-2-0_106069_2021-05-03_final
2021-05-10 08:33:18	ga_ls7e_ard_3-2-0_091080_2021-05-09_final
2021-05-10 08:34:30	ga_ls7e_ard_3-2-0_091083_2021-05-09_final
2021-05-15 10:28:42	ga_ls7e_ard_3-2-0_110076_2021-05-15_final
2021-05-28 09:55:30	ga_ls7e_ard_3-2-0_105073_2021-05-28_final
2021-06-03 09:20:42	ga_ls7e_ard_3-2-0_099080_2021-06-02_final
2021-06-14 08:58:05	ga_ls7e_ard_3-2-0_096072_2021-06-13_final
2021-06-20 08:24:30	ga_ls7e_ard_3-2-0_090082_2021-06-19_final
2021-07-13 10:04:26	ga_ls7e_ard_3-2-0_107074_2021-07-13_final
2021-08-08 09:02:22	ga_ls7e_ard_3-2-0_097079_2021-08-07_final
2021-08-10 10:24:19	ga_ls7e_ard_3-2-0_111068_2021-08-10_final
2021-08-14 10:04:49	ga_ls7e_ard_3-2-0_107082_2021-08-14_final
2021-08-16 09:46:42	ga_ls7e_ard_3-2-0_105068_2021-08-16_final
2021-08-21 10:05:12	ga_ls7e_ard_3-2-0_108069_2021-08-21_final
2021-08-28 08:33:54	ga_ls7e_ard_3-2-0_093074_2021-08-27_final
2021-08-28 08:39:05	ga_ls7e_ard_3-2-0_093087_2021-08-27_final
2021-09-05 09:23:50	ga_ls7e_ard_3-2-0_101077_2021-09-04_final
2021-09-07 10:49:23	ga_ls7e_ard_3-2-0_115075_2021-09-07_final
2021-09-08 08:18:23	ga_ls7e_ard_3-2-0_090084_2021-09-07_final
2021-09-16 09:06:43	ga_ls7e_ard_3-2-0_098083_2021-09-15_final
2021-09-23 09:06:17	ga_ls7e_ard_3-2-0_099068_2021-09-22_final
2021-09-23 09:11:52	ga_ls7e_ard_3-2-0_099082_2021-09-22_final
2021-09-28 09:27:34	ga_ls7e_ard_3-2-0_102076_2021-09-27_final
2021-09-28 09:27:58	ga_ls7e_ard_3-2-0_102077_2021-09-27_final
2021-10-06 08:36:38	ga_ls7e_ard_3-2-0_094074_2021-10-05_final
2021-10-09 09:05:40	ga_ls7e_ard_3-2-0_099070_2021-10-08_final
2021-10-09 09:10:28	ga_ls7e_ard_3-2-0_099082_2021-10-08_final
2021-10-18 09:02:41	ga_ls7e_ard_3-2-0_098080_2021-10-17_final
2021-10-30 09:26:18	ga_ls7e_ard_3-2-0_102080_2021-10-29_final
2021-11-13 09:33:44	ga_ls7e_ard_3-2-1_104071_2021-11-13_final
2021-12-09 08:33:51	ga_ls7e_ard_3-2-1_094082_2021-12-08_final
2021-12-13 08:11:56	ga_ls7e_ard_3-2-1_090090_2021-12-12_final
2021-12-13 09:45:38	ga_ls7e_ard_3-2-1_106077_2021-12-13_final
2021-12-17 09:16:56	ga_ls7e_ard_3-2-1_102068_2021-12-16_final
2022-01-01 08:38:58	ga_ls7e_ard_3-2-1_095085_2021-12-31_final
2022-01-02 09:16:32	ga_ls7e_ard_3-2-1_102071_2022-01-01_final
2022-01-13 09:00:08	ga_ls7e_ard_3-2-1_099079_2022-01-12_final
2022-02-02 10:13:33	ga_ls7e_ard_3-2-1_111082_2022-02-02_final
2022-02-11 08:23:11	ga_ls7e_ard_3-2-1_094071_2022-02-10_final
2022-02-18 08:29:51	ga_ls7e_ard_3-2-1_095074_2022-02-17_final
2022-02-27 10:04:53	ga_ls7e_ard_3-2-1_110082_2022-02-27_final
2022-03-01 09:49:32	ga_ls7e_ard_3-2-1_108075_2022-03-01_final
2022-03-24 08:16:34	ga_ls7e_ard_3-2-1_093080_2022-03-23_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