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
1999-10-29 11:44:53	ga_ls7e_ard_3-1-0_115077_1999-10-29_final
2000-07-11 11:43:54	ga_ls7e_ard_3-0-0_115078_2000-07-11_final
2000-11-16 11:42:20	ga_ls7e_ard_3-1-0_115077_2000-11-16_final
2001-04-20 11:19:35	ga_ls7e_ard_3-0-0_112067_2001-04-20_final
2001-04-25 11:41:16	ga_ls7e_ard_3-0-0_115075_2001-04-25_final
2001-06-12 11:41:13	ga_ls7e_ard_3-0-0_115076_2001-06-12_final
2002-02-23 11:40:06	ga_ls7e_ard_3-0-0_115075_2002-02-23_final
2002-09-07 11:13:16	ga_ls7e_ard_3-0-0_111072_2002-09-07_final
2002-10-05 11:38:55	ga_ls7e_ard_3-0-0_115075_2002-10-05_final
2002-11-22 11:40:32	ga_ls7e_ard_3-0-0_115078_2002-11-22_final
2003-01-04 11:20:36	ga_ls7e_ard_3-0-0_112074_2003-01-04_final
2003-01-29 11:14:11	ga_ls7e_ard_3-0-0_111073_2003-01-29_final
2003-02-05 11:18:05	ga_ls7e_ard_3-0-0_112067_2003-02-05_final
2003-10-19 11:23:19	ga_ls7e_ard_3-0-0_112081_2003-10-19_final
2003-11-20 11:20:54	ga_ls7e_ard_3-0-0_112074_2003-11-20_final
2003-12-27 11:39:42	ga_ls7e_ard_3-0-0_115074_2003-12-27_final
2003-12-29 11:27:21	ga_ls7e_ard_3-0-0_113074_2003-12-29_final
2004-02-24 11:21:21	ga_ls7e_ard_3-0-0_112074_2004-02-24_final
2004-06-08 11:14:46	ga_ls7e_ard_3-0-0_111073_2004-06-08_final
2004-10-26 11:39:59	ga_ls7e_ard_3-0-0_115075_2004-10-26_final
2004-11-27 11:41:29	ga_ls7e_ard_3-0-0_115078_2004-11-27_final
2004-11-29 11:24:45	ga_ls7e_ard_3-0-0_113067_2004-11-29_final
2004-12-29 11:41:44	ga_ls7e_ard_3-0-0_115078_2004-12-29_final
2005-03-30 11:21:56	ga_ls7e_ard_3-0-0_112074_2005-03-30_final
2005-10-01 11:14:45	ga_ls7e_ard_3-0-0_111073_2005-10-01_final
2006-02-11 11:35:04	ga_ls7e_ard_3-0-0_114075_2006-02-11_final
2006-12-21 11:31:50	ga_ls7e_ard_3-0-0_113082_2006-12-21_final
2007-01-31 11:22:36	ga_ls7e_ard_3-0-0_112074_2007-01-31_final
2007-07-31 11:42:56	ga_ls7e_ard_3-0-0_115079_2007-07-31_final
2007-09-05 11:19:10	ga_ls7e_ard_3-1-0_111082_2007-09-05_final
2008-02-28 11:15:54	ga_ls7e_ard_3-0-0_111073_2008-02-28_final
2008-10-30 11:33:33	ga_ls7e_ard_3-0-0_114074_2008-10-30_final
2008-11-26 11:14:59	ga_ls7e_ard_3-0-0_111073_2008-11-26_final
2009-09-06 11:41:22	ga_ls7e_ard_3-0-0_115075_2009-09-06_final
2009-10-26 11:28:46	ga_ls7e_ard_3-0-0_113074_2009-10-26_final
2009-11-09 11:42:56	ga_ls7e_ard_3-0-0_115078_2009-11-09_final
2009-12-27 11:44:00	ga_ls7e_ard_3-0-0_115079_2009-12-27_final
2010-08-26 11:34:18	ga_ls7e_ard_3-0-0_113083_2010-08-26_final
2010-11-14 11:31:09	ga_ls7e_ard_3-0-0_113074_2010-11-14_final
2010-12-02 11:18:36	ga_ls7e_ard_3-0-0_111073_2010-12-02_final
2011-03-24 11:18:51	ga_ls7e_ard_3-0-0_111072_2011-03-24_final
2011-12-26 11:39:23	ga_ls7e_ard_3-0-0_114076_2011-12-26_final
2015-09-11 11:29:35	ga_ls7e_ard_3-0-0_111083_2015-09-11_final
2015-11-14 11:29:34	ga_ls7e_ard_3-0-0_111081_2015-11-14_final
2015-11-26 11:53:16	ga_ls7e_ard_3-0-0_115078_2015-11-26_final
2016-09-13 11:32:23	ga_ls7e_ard_3-0-0_111083_2016-09-13_final
2016-10-06 11:35:01	ga_ls7e_ard_3-0-0_112074_2016-10-06_final
2017-10-18 11:27:55	ga_ls7e_ard_3-0-0_111072_2017-10-18_final
2018-06-06 11:29:21	ga_ls7e_ard_3-0-0_112067_2018-06-06_final
2018-06-15 11:25:00	ga_ls7e_ard_3-0-0_111072_2018-06-15_final
2018-11-06 11:20:25	ga_ls7e_ard_3-0-0_111068_2018-11-06_final
2018-12-20 11:48:23	ga_ls7e_ard_3-0-0_115079_2018-12-20_final
2019-05-01 11:20:58	ga_ls7e_ard_3-0-0_111083_2019-05-01_final
2019-06-18 11:15:12	ga_ls7e_ard_3-0-0_111073_2019-06-18_final
2019-12-23 11:34:10	ga_ls7e_ard_3-1-0_115079_2019-12-23_final
2020-01-10 11:21:40	ga_ls7e_ard_3-1-0_113081_2020-01-10_final
2020-02-29 11:03:34	ga_ls7e_ard_3-1-0_111073_2020-02-29_final
2020-06-04 10:57:36	ga_ls7e_ard_3-1-0_111072_2020-06-04_final
2020-12-08 08:50:06	ga_ls7e_ard_3-1-0_092077_2020-12-07_final
2020-12-13 09:06:40	ga_ls7e_ard_3-1-0_095073_2020-12-12_final
2020-12-16 09:41:44	ga_ls7e_ard_3-1-0_100084_2020-12-16_final
2020-12-17 10:19:44	ga_ls7e_ard_3-1-0_107071_2020-12-17_final
2021-01-29 09:56:56	ga_ls7e_ard_3-2-0_104068_2021-01-29_final
2021-02-08 08:56:47	ga_ls7e_ard_3-2-0_094074_2021-02-07_final
2021-03-08 09:18:10	ga_ls7e_ard_3-2-0_098071_2021-03-07_final
2021-03-09 10:00:33	ga_ls7e_ard_3-2-0_105069_2021-03-09_final
2021-03-12 10:32:25	ga_ls7e_ard_3-2-0_110072_2021-03-12_final
2021-03-26 10:48:02	ga_ls7e_ard_3-2-0_112083_2021-03-26_final
2021-04-11 10:40:20	ga_ls7e_ard_3-2-0_112067_2021-04-11_final
2021-04-26 09:58:36	ga_ls7e_ard_3-2-0_105074_2021-04-26_final
2021-05-03 10:04:59	ga_ls7e_ard_3-2-0_106076_2021-05-03_final
2021-05-15 10:28:18	ga_ls7e_ard_3-2-0_110075_2021-05-15_final
2021-05-25 09:29:15	ga_ls7e_ard_3-2-0_100084_2021-05-24_final
2021-05-26 08:34:20	ga_ls7e_ard_3-2-0_091086_2021-05-25_final
2021-06-21 10:46:57	ga_ls7e_ard_3-2-0_113083_2021-06-21_final
2021-06-23 08:49:10	ga_ls7e_ard_3-2-0_095067_2021-06-22_final
2021-07-25 10:27:43	ga_ls7e_ard_3-2-0_111073_2021-07-25_final
2021-07-25 10:31:19	ga_ls7e_ard_3-2-0_111082_2021-07-25_final
2021-07-31 08:13:38	ga_ls7e_ard_3-2-0_089079_2021-07-30_final
2021-08-14 08:27:32	ga_ls7e_ard_3-2-0_091086_2021-08-13_final
2021-09-04 08:36:41	ga_ls7e_ard_3-2-0_094067_2021-09-03_final
2021-09-11 10:23:31	ga_ls7e_ard_3-2-0_111073_2021-09-11_final
2021-09-11 10:27:30	ga_ls7e_ard_3-2-0_111083_2021-09-11_final
2021-09-19 09:32:58	ga_ls7e_ard_3-2-0_103072_2021-09-19_final
2021-09-22 10:04:47	ga_ls7e_ard_3-2-0_108075_2021-09-22_final
2021-09-27 10:22:05	ga_ls7e_ard_3-2-0_111073_2021-09-27_final
2021-09-29 10:10:44	ga_ls7e_ard_3-2-0_109076_2021-09-29_final
2021-10-10 08:12:45	ga_ls7e_ard_3-2-0_090077_2021-10-09_final
2021-10-14 09:28:09	ga_ls7e_ard_3-2-0_102081_2021-10-13_final
2021-11-22 09:25:28	ga_ls7e_ard_3-2-1_103068_2021-11-21_final
2021-12-06 09:39:19	ga_ls7e_ard_3-2-1_105075_2021-12-06_final
2021-12-08 09:29:10	ga_ls7e_ard_3-2-1_103081_2021-12-07_final
2021-12-18 08:28:00	ga_ls7e_ard_3-2-1_093085_2021-12-17_final
2022-02-08 09:32:40	ga_ls7e_ard_3-2-1_105074_2022-02-08_final
2022-02-15 09:38:30	ga_ls7e_ard_3-2-1_106075_2022-02-15_final
2022-03-11 08:44:45	ga_ls7e_ard_3-2-1_098070_2022-03-10_final
2022-03-17 08:13:50	ga_ls7e_ard_3-2-1_092087_2022-03-16_final
2022-03-19 08:00:29	ga_ls7e_ard_3-2-1_090085_2022-03-18_final
2022-03-24 08:19:22	ga_ls7e_ard_3-2-1_093087_2022-03-23_final
2022-03-27 08:48:47	ga_ls7e_ard_3-2-1_098084_2022-03-26_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