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
1999-08-26 11:44:08	ga_ls7e_ard_3-0-0_115075_1999-08-26_final
2000-01-17 11:44:00	ga_ls7e_ard_3-0-0_115075_2000-01-17_final
2000-04-06 11:44:50	ga_ls7e_ard_3-0-0_115078_2000-04-06_final
2001-03-24 11:41:23	ga_ls7e_ard_3-0-0_115075_2001-03-24_final
2002-02-07 11:41:17	ga_ls7e_ard_3-0-0_115078_2002-02-07_final
2002-12-08 11:40:39	ga_ls7e_ard_3-0-0_115078_2002-12-08_final
2003-03-30 11:40:42	ga_ls7e_ard_3-1-0_115077_2003-03-30_final
2004-09-08 11:39:30	ga_ls7e_ard_3-0-0_115074_2004-09-08_final
2005-03-12 11:36:43	ga_ls7e_ard_3-0-0_114080_2005-03-12_final
2005-04-04 11:41:39	ga_ls7e_ard_3-1-0_115077_2005-04-04_final
2005-04-20 11:40:44	ga_ls7e_ard_3-0-0_115075_2005-04-20_final
2005-07-09 11:41:02	ga_ls7e_ard_3-0-0_115076_2005-07-09_final
2007-06-29 11:42:15	ga_ls7e_ard_3-1-0_115077_2007-06-29_final
2007-08-02 11:32:33	ga_ls7e_ard_3-0-0_113084_2007-08-02_final
2007-12-31 11:37:22	ga_ls7e_ard_3-0-0_114080_2007-12-31_final
2009-02-10 11:42:39	ga_ls7e_ard_3-0-0_115079_2009-02-10_final
2009-10-24 11:43:05	ga_ls7e_ard_3-0-0_115079_2009-10-24_final
2009-12-20 11:38:30	ga_ls7e_ard_3-0-0_114081_2009-12-20_final
2010-04-18 11:44:37	ga_ls7e_ard_3-0-0_115078_2010-04-18_final
2010-11-28 11:43:41	ga_ls7e_ard_3-0-0_115074_2010-11-28_final
2011-01-15 11:46:06	ga_ls7e_ard_3-0-0_115079_2011-01-15_final
2011-07-26 11:45:53	ga_ls7e_ard_3-0-0_115078_2011-07-26_final
2011-08-04 11:38:04	ga_ls7e_ard_3-0-0_114074_2011-08-04_final
2011-10-23 11:39:34	ga_ls7e_ard_3-0-0_114078_2011-10-23_final
2013-12-06 11:47:09	ga_ls7e_ard_3-0-0_115074_2013-12-06_final
2013-12-22 11:49:10	ga_ls7e_ard_3-0-0_115079_2013-12-22_final
2014-02-08 11:48:05	ga_ls7e_ard_3-0-0_115075_2014-02-08_final
2014-02-24 11:47:55	ga_ls7e_ard_3-0-0_115075_2014-02-24_final
2015-06-05 11:41:59	ga_ls7e_ard_3-0-0_113084_2015-06-05_final
2015-06-21 11:41:15	ga_ls7e_ard_3-0-0_113082_2015-06-21_final
2016-11-12 11:55:22	ga_ls7e_ard_3-0-0_115079_2016-11-12_final
2017-01-08 11:47:39	ga_ls7e_ard_3-0-0_114076_2017-01-08_final
2017-06-01 11:47:11	ga_ls7e_ard_3-0-0_114074_2017-06-01_final
2017-06-17 11:47:15	ga_ls7e_ard_3-0-0_114074_2017-06-17_final
2018-07-06 11:46:43	ga_ls7e_ard_3-0-0_114081_2018-07-06_final
2019-01-21 11:47:24	ga_ls7e_ard_3-0-0_115079_2019-01-21_final
2019-12-23 11:33:46	ga_ls7e_ard_3-1-0_115078_2019-12-23_final
2020-02-02 11:21:08	ga_ls7e_ard_3-1-0_114067_2020-02-02_final
2020-05-31 11:24:57	ga_ls7e_ard_3-1-0_115078_2020-05-31_final
2020-11-28 09:51:03	ga_ls7e_ard_3-1-0_102073_2020-11-28_final
2020-12-07 09:43:24	ga_ls7e_ard_3-1-0_101071_2020-12-07_final
2020-12-26 08:36:48	ga_ls7e_ard_3-1-0_090078_2020-12-25_final
2020-12-26 08:39:59	ga_ls7e_ard_3-1-0_090086_2020-12-25_final
2020-12-26 10:11:41	ga_ls7e_ard_3-1-0_106068_2020-12-26_final
2021-01-03 09:21:18	ga_ls7e_ard_3-1-0_098067_2021-01-02_final
2021-01-09 10:25:04	ga_ls7e_ard_3-1-0_108073_2021-01-09_final
2021-01-24 09:39:57	ga_ls7e_ard_3-2-0_101071_2021-01-24_final
2021-01-25 10:24:44	ga_ls7e_ard_3-2-0_108075_2021-01-25_final
2021-01-30 10:42:30	ga_ls7e_ard_3-2-0_111074_2021-01-30_final
2021-02-01 08:51:31	ga_ls7e_ard_3-2-0_093075_2021-01-31_final
2021-02-10 10:21:33	ga_ls7e_ard_3-2-0_108070_2021-02-10_final
2021-02-12 10:09:27	ga_ls7e_ard_3-2-0_106071_2021-02-12_final
2021-02-16 09:48:25	ga_ls7e_ard_3-2-0_102081_2021-02-16_final
2021-02-27 11:06:19	ga_ls7e_ard_3-2-0_115077_2021-02-27_final
2021-04-02 10:50:03	ga_ls7e_ard_3-2-0_113074_2021-04-02_final
2021-04-12 09:45:02	ga_ls7e_ard_3-2-0_103068_2021-04-12_final
2021-04-14 09:38:29	ga_ls7e_ard_3-2-0_101083_2021-04-14_final
2021-04-15 10:16:05	ga_ls7e_ard_3-2-0_108069_2021-04-15_final
2021-04-26 09:58:36	ga_ls7e_ard_3-2-0_105074_2021-04-26_final
2021-05-01 08:43:02	ga_ls7e_ard_3-2-0_092087_2021-04-30_final
2021-05-01 10:15:07	ga_ls7e_ard_3-2-0_108070_2021-05-01_final
2021-05-02 11:01:29	ga_ls7e_ard_3-2-0_115078_2021-05-02_final
2021-05-04 10:50:58	ga_ls7e_ard_3-2-0_113083_2021-05-04_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-20 10:49:37	ga_ls7e_ard_3-2-0_113083_2021-05-20_final
2021-05-26 08:34:20	ga_ls7e_ard_3-2-0_091086_2021-05-25_final
2021-05-26 08:34:44	ga_ls7e_ard_3-2-0_091087_2021-05-25_final
2021-05-28 09:55:06	ga_ls7e_ard_3-2-0_105072_2021-05-28_final
2021-06-23 08:51:33	ga_ls7e_ard_3-2-0_095073_2021-06-22_final
2021-06-28 09:13:40	ga_ls7e_ard_3-2-0_098083_2021-06-27_final
2021-06-29 08:16:22	ga_ls7e_ard_3-2-0_089079_2021-06-28_final
2021-06-30 08:56:21	ga_ls7e_ard_3-2-0_096071_2021-06-29_final
2021-07-01 09:38:20	ga_ls7e_ard_3-2-0_103068_2021-07-01_final
2021-07-06 09:59:39	ga_ls7e_ard_3-2-0_106076_2021-07-06_final
2021-07-11 08:43:16	ga_ls7e_ard_3-2-0_093087_2021-07-10_final
2021-08-01 08:52:01	ga_ls7e_ard_3-2-0_096067_2021-07-31_final
2021-08-21 10:06:00	ga_ls7e_ard_3-2-0_108071_2021-08-21_final
2021-09-16 09:00:20	ga_ls7e_ard_3-2-0_098067_2021-09-15_final
2021-10-03 09:45:40	ga_ls7e_ard_3-2-0_105076_2021-10-03_final
2021-11-02 08:19:38	ga_ls7e_ard_3-2-0_091084_2021-11-01_final
2021-11-02 09:52:56	ga_ls7e_ard_3-2-0_107070_2021-11-02_final
2021-11-06 09:30:37	ga_ls7e_ard_3-2-0_103077_2021-11-06_final
2021-11-20 09:38:02	ga_ls7e_ard_3-2-1_105068_2021-11-20_final
2021-11-20 09:41:37	ga_ls7e_ard_3-2-1_105077_2021-11-20_final
2021-11-30 10:16:09	ga_ls7e_ard_3-2-1_111073_2021-11-30_final
2021-12-10 09:12:37	ga_ls7e_ard_3-2-1_101071_2021-12-09_final
2021-12-14 08:53:06	ga_ls7e_ard_3-2-1_097085_2021-12-13_final
2021-12-19 09:08:22	ga_ls7e_ard_3-2-1_100078_2021-12-18_final
2022-01-04 09:03:58	ga_ls7e_ard_3-2-1_100071_2022-01-03_final
2022-01-04 09:04:22	ga_ls7e_ard_3-2-1_100072_2022-01-03_final
2022-01-13 08:55:21	ga_ls7e_ard_3-2-1_099067_2022-01-12_final
2022-01-22 08:49:54	ga_ls7e_ard_3-2-1_098071_2022-01-21_final
2022-01-24 10:21:01	ga_ls7e_ard_3-2-1_112083_2022-01-24_final
2022-02-06 09:43:38	ga_ls7e_ard_3-2-1_107070_2022-02-06_final
2022-02-07 08:51:06	ga_ls7e_ard_3-2-1_098078_2022-02-06_final
2022-02-20 09:56:58	ga_ls7e_ard_3-2-1_109076_2022-02-20_final
2022-02-24 09:31:52	ga_ls7e_ard_3-2-1_105076_2022-02-24_final
2022-03-18 08:54:12	ga_ls7e_ard_3-2-1_099080_2022-03-17_final
2022-03-19 09:35:46	ga_ls7e_ard_3-2-1_106076_2022-03-19_final
2022-03-30 09:13:01	ga_ls7e_ard_3-2-1_103068_2022-03-29_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