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
1999-12-11 11:28:48	ga_ls7e_ard_3-0-0_112083_1999-12-11_final
1999-12-16 11:45:21	ga_ls7e_ard_3-0-0_115078_1999-12-16_final
2000-10-15 11:42:30	ga_ls7e_ard_3-0-0_115078_2000-10-15_final
2001-02-04 11:41:39	ga_ls7e_ard_3-0-0_115075_2001-02-04_final
2001-12-05 11:40:52	ga_ls7e_ard_3-0-0_115078_2001-12-05_final
2002-05-14 11:39:56	ga_ls7e_ard_3-0-0_115075_2002-05-14_final
2002-09-19 11:38:58	ga_ls7e_ard_3-0-0_115075_2002-09-19_final
2003-08-21 11:40:48	ga_ls7e_ard_3-0-0_115078_2003-08-21_final
2003-09-24 11:26:38	ga_ls7e_ard_3-0-0_113074_2003-09-24_final
2003-12-13 11:27:36	ga_ls7e_ard_3-0-0_113075_2003-12-13_final
2004-06-20 11:41:25	ga_ls7e_ard_3-0-0_115078_2004-06-20_final
2004-07-15 11:35:35	ga_ls7e_ard_3-0-0_114079_2004-07-15_final
2004-08-23 11:41:11	ga_ls7e_ard_3-0-0_115078_2004-08-23_final
2005-01-07 11:34:48	ga_ls7e_ard_3-0-0_114076_2005-01-07_final
2005-11-09 11:25:41	ga_ls7e_ard_3-1-0_112084_2005-11-09_final
2005-12-18 11:28:04	ga_ls7e_ard_3-0-0_113074_2005-12-18_final
2006-01-17 11:42:18	ga_ls7e_ard_3-0-0_115078_2006-01-17_final
2006-06-26 11:41:08	ga_ls7e_ard_3-0-0_115075_2006-06-26_final
2007-05-12 11:41:36	ga_ls7e_ard_3-0-0_115075_2007-05-12_final
2008-07-17 11:40:35	ga_ls7e_ard_3-0-0_115075_2008-07-17_final
2008-08-20 11:27:34	ga_ls7e_ard_3-0-0_113074_2008-08-20_final
2008-10-23 11:27:39	ga_ls7e_ard_3-0-0_113075_2008-10-23_final
2009-03-14 11:42:33	ga_ls7e_ard_3-0-0_115078_2009-03-14_final
2009-05-17 11:42:50	ga_ls7e_ard_3-0-0_115078_2009-05-17_final
2009-11-11 11:31:24	ga_ls7e_ard_3-0-0_113080_2009-11-11_final
2009-12-11 11:42:07	ga_ls7e_ard_3-0-0_115075_2009-12-11_final
2010-01-30 11:30:10	ga_ls7e_ard_3-0-0_113074_2010-01-30_final
2010-05-20 11:44:30	ga_ls7e_ard_3-0-0_115078_2010-05-20_final
2010-11-28 11:44:53	ga_ls7e_ard_3-1-0_115077_2010-11-28_final
2011-02-18 11:33:54	ga_ls7e_ard_3-0-0_113079_2011-02-18_final
2011-11-15 11:45:58	ga_ls7e_ard_3-0-0_115078_2011-11-15_final
2011-12-10 11:40:48	ga_ls7e_ard_3-0-0_114080_2011-12-10_final
2011-12-19 11:29:31	ga_ls7e_ard_3-0-0_113067_2011-12-19_final
2012-04-16 11:41:05	ga_ls7e_ard_3-0-0_114080_2012-04-16_final
2014-05-24 11:39:12	ga_ls7e_ard_3-0-0_114067_2014-05-24_final
2014-07-18 11:48:20	ga_ls7e_ard_3-0-0_115074_2014-07-18_final
2015-01-03 11:43:09	ga_ls7e_ard_3-0-0_114074_2015-01-03_final
2015-01-12 11:34:13	ga_ls7e_ard_3-0-0_113067_2015-01-12_final
2015-08-24 11:38:18	ga_ls7e_ard_3-0-0_113074_2015-08-24_final
2016-07-09 11:41:00	ga_ls7e_ard_3-0-0_113074_2016-07-09_final
2016-11-28 11:55:19	ga_ls7e_ard_3-0-0_115079_2016-11-28_final
2016-12-23 11:47:01	ga_ls7e_ard_3-0-0_114074_2016-12-23_final
2017-02-16 11:52:46	ga_ls7e_ard_3-0-0_115074_2017-02-16_final
2018-01-20 11:37:33	ga_ls7e_ard_3-0-0_113067_2018-01-20_final
2018-04-08 11:52:28	ga_ls7e_ard_3-0-0_115076_2018-04-08_final
2018-11-27 11:43:38	ga_ls7e_ard_3-0-0_114081_2018-11-27_final
2019-01-07 11:30:42	ga_ls7e_ard_3-0-0_113067_2019-01-07_final
2019-01-21 11:47:00	ga_ls7e_ard_3-0-0_115078_2019-01-21_final
2019-05-29 11:42:38	ga_ls7e_ard_3-0-0_115078_2019-05-29_final
2020-01-10 11:18:53	ga_ls7e_ard_3-1-0_113074_2020-01-10_final
2020-03-14 11:15:34	ga_ls7e_ard_3-1-0_113074_2020-03-14_final
2020-08-19 11:18:53	ga_ls7e_ard_3-1-0_115075_2020-08-19_final
2020-10-06 11:16:58	ga_ls7e_ard_3-1-0_115078_2020-10-06_final
2020-11-28 09:51:03	ga_ls7e_ard_3-1-0_102073_2020-11-28_final
2020-11-29 10:35:26	ga_ls7e_ard_3-1-0_109076_2020-11-29_final
2020-12-05 09:56:19	ga_ls7e_ard_3-1-0_103072_2020-12-05_final
2020-12-19 08:33:55	ga_ls7e_ard_3-1-0_089085_2020-12-18_final
2020-12-20 10:51:36	ga_ls7e_ard_3-1-0_112074_2020-12-20_final
2020-12-26 08:36:48	ga_ls7e_ard_3-1-0_090078_2020-12-25_final
2021-01-05 09:10:00	ga_ls7e_ard_3-1-0_096070_2021-01-04_final
2021-01-06 09:52:23	ga_ls7e_ard_3-1-0_103068_2021-01-06_final
2021-01-07 10:35:11	ga_ls7e_ard_3-1-0_110067_2021-01-07_final
2021-01-19 11:04:14	ga_ls7e_ard_3-1-0_114080_2021-01-19_final
2021-03-07 08:41:46	ga_ls7e_ard_3-2-0_091088_2021-03-06_final
2021-03-16 10:07:46	ga_ls7e_ard_3-2-0_106073_2021-03-16_final
2021-04-14 09:38:29	ga_ls7e_ard_3-2-0_101083_2021-04-14_final
2021-04-16 09:19:35	ga_ls7e_ard_3-2-0_099067_2021-04-15_final
2021-04-29 10:29:14	ga_ls7e_ard_3-2-0_110074_2021-04-29_final
2021-05-03 08:26:31	ga_ls7e_ard_3-2-0_090077_2021-05-02_final
2021-05-15 10:26:19	ga_ls7e_ard_3-2-0_110070_2021-05-15_final
2021-05-26 08:34:44	ga_ls7e_ard_3-2-0_091087_2021-05-25_final
2021-06-11 08:32:37	ga_ls7e_ard_3-2-0_091085_2021-06-10_final
2021-07-18 08:48:03	ga_ls7e_ard_3-2-0_094085_2021-07-17_final
2021-07-20 10:10:01	ga_ls7e_ard_3-2-0_108074_2021-07-20_final
2021-07-22 09:55:05	ga_ls7e_ard_3-2-0_106068_2021-07-22_final
2021-07-30 09:08:56	ga_ls7e_ard_3-2-0_098078_2021-07-29_final
2021-08-10 08:47:26	ga_ls7e_ard_3-2-0_095073_2021-08-09_final
2021-08-11 09:30:36	ga_ls7e_ard_3-2-0_102073_2021-08-11_final
2021-08-17 10:29:28	ga_ls7e_ard_3-2-0_112067_2021-08-17_final
2021-08-28 10:13:10	ga_ls7e_ard_3-2-0_109075_2021-08-28_final
2021-09-03 09:34:23	ga_ls7e_ard_3-2-0_103072_2021-09-03_final
2021-09-16 09:00:20	ga_ls7e_ard_3-2-0_098067_2021-09-15_final
2021-10-08 10:03:22	ga_ls7e_ard_3-2-0_108075_2021-10-08_final
2021-10-24 09:59:57	ga_ls7e_ard_3-2-0_108070_2021-10-24_final
2021-10-27 10:32:10	ga_ls7e_ard_3-2-0_113074_2021-10-27_final
2021-10-31 10:07:04	ga_ls7e_ard_3-2-0_109074_2021-10-31_final
2021-11-02 09:58:07	ga_ls7e_ard_3-2-0_107083_2021-11-02_final
2021-11-09 10:00:02	ga_ls7e_ard_3-2-0_108074_2021-11-09_final
2021-11-20 09:38:02	ga_ls7e_ard_3-2-1_105068_2021-11-20_final
2021-11-26 09:00:22	ga_ls7e_ard_3-2-1_099068_2021-11-25_final
2022-01-13 10:39:01	ga_ls7e_ard_3-2-1_115079_2022-01-13_final
2022-01-23 07:58:35	ga_ls7e_ard_3-2-1_089082_2022-01-22_final
2022-01-24 10:21:25	ga_ls7e_ard_3-2-1_112084_2022-01-24_final
2022-01-26 10:04:04	ga_ls7e_ard_3-2-1_110072_2022-01-26_final
2022-02-13 09:54:16	ga_ls7e_ard_3-2-1_108083_2022-02-13_final
2022-02-14 08:52:34	ga_ls7e_ard_3-2-1_099068_2022-02-13_final
2022-02-21 08:59:16	ga_ls7e_ard_3-2-1_100071_2022-02-20_final
2022-02-23 08:47:07	ga_ls7e_ard_3-2-1_098072_2022-02-22_final
2022-03-01 08:10:39	ga_ls7e_ard_3-2-1_092075_2022-02-28_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_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