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
1999-10-26 09:38:17	ga_ls7e_ard_3-0-0_094085_1999-10-26_final
1999-11-06 09:20:10	ga_ls7e_ard_3-1-0_091086_1999-11-05_final
1999-12-26 09:05:45	ga_ls7e_ard_3-1-0_089081_1999-12-25_final
2000-01-23 09:32:50	ga_ls7e_ard_3-1-0_093087_2000-01-23_final
2000-05-13 10:20:12	ga_ls7e_ard_3-1-0_102068_2000-05-13_final
2001-05-22 09:48:01	ga_ls7e_ard_3-1-0_096086_2001-05-22_final
2001-11-11 09:15:44	ga_ls7e_ard_3-1-0_091086_2001-11-10_final
2002-09-03 11:40:00	ga_ls7e_ard_3-1-0_115077_2002-09-03_final
2002-11-22 11:40:08	ga_ls7e_ard_3-1-0_115077_2002-11-22_final
2002-11-23 10:43:44	ga_ls7e_ard_3-1-0_106075_2002-11-23_final
2003-04-26 09:46:55	ga_ls7e_ard_3-1-0_096086_2003-04-26_final
2003-07-24 11:17:47	ga_ls7e_ard_3-1-0_111082_2003-07-24_final
2003-12-03 09:17:31	ga_ls7e_ard_3-1-0_091090_2003-12-02_final
2004-03-16 11:41:16	ga_ls7e_ard_3-1-0_115077_2004-03-16_final
2004-10-21 09:46:53	ga_ls7e_ard_3-1-0_096086_2004-10-21_final
2005-12-15 09:24:40	ga_ls7e_ard_3-1-0_092090_2005-12-14_final
2006-08-29 11:41:38	ga_ls7e_ard_3-1-0_115077_2006-08-29_final
2006-09-11 11:08:40	ga_ls7e_ard_3-1-0_110072_2006-09-11_final
2006-10-27 11:25:08	ga_ls7e_ard_3-1-0_112082_2006-10-27_final
2006-11-27 09:06:09	ga_ls7e_ard_3-1-0_089089_2006-11-26_final
2007-04-10 11:42:32	ga_ls7e_ard_3-1-0_115077_2007-04-10_final
2007-04-23 09:28:43	ga_ls7e_ard_3-1-0_094067_2007-04-22_final
2007-08-13 09:30:40	ga_ls7e_ard_3-0-0_094073_2007-08-13_final
2008-05-02 09:36:52	ga_ls7e_ard_3-1-0_095073_2008-05-02_final
2008-12-02 09:02:16	ga_ls7e_ard_3-1-0_089081_2008-12-01_final
2010-02-26 11:11:07	ga_ls7e_ard_3-1-0_110072_2010-02-26_final
2010-04-29 09:50:22	ga_ls7e_ard_3-1-0_096086_2010-04-29_final
2010-10-08 09:33:19	ga_ls7e_ard_3-0-0_094074_2010-10-08_final
2011-07-07 09:31:45	ga_ls7e_ard_3-1-0_094067_2011-07-07_final
2011-10-27 09:31:35	ga_ls7e_ard_3-1-0_094067_2011-10-27_final
2011-12-11 09:06:41	ga_ls7e_ard_3-1-0_089081_2011-12-10_final
2012-01-31 11:13:09	ga_ls7e_ard_3-1-0_110072_2012-01-31_final
2012-11-30 09:36:36	ga_ls7e_ard_3-0-0_094073_2012-11-30_final
2013-02-25 09:42:57	ga_ls7e_ard_3-1-0_095073_2013-02-25_final
2013-07-09 09:08:20	ga_ls7e_ard_3-1-0_089081_2013-07-08_final
2014-08-13 09:13:46	ga_ls7e_ard_3-1-0_089089_2014-08-12_final
2014-11-17 09:11:09	ga_ls7e_ard_3-1-0_089081_2014-11-16_final
2016-03-30 09:40:23	ga_ls7e_ard_3-1-0_094067_2016-03-30_final
2016-06-22 10:58:09	ga_ls7e_ard_3-1-0_106075_2016-06-22_final
2016-07-08 10:58:08	ga_ls7e_ard_3-1-0_106075_2016-07-08_final
2018-02-23 11:30:43	ga_ls7e_ard_3-1-0_111082_2018-02-23_final
2018-08-27 09:44:33	ga_ls7e_ard_3-0-0_094087_2018-08-27_final
2019-01-05 11:47:07	ga_ls7e_ard_3-1-0_115077_2019-01-05_final
2019-02-18 10:28:00	ga_ls7e_ard_3-1-0_103068_2019-02-18_final
2019-02-19 09:34:20	ga_ls7e_ard_3-1-0_094073_2019-02-19_final
2019-02-21 10:59:36	ga_ls7e_ard_3-1-0_108070_2019-02-21_final
2019-03-05 09:50:39	ga_ls7e_ard_3-1-0_096084_2019-03-05_final
2019-03-18 09:17:20	ga_ls7e_ard_3-1-0_091079_2019-03-17_final
2019-08-24 10:08:08	ga_ls7e_ard_3-1-0_100082_2019-08-24_final
2019-09-12 08:58:56	ga_ls7e_ard_3-1-0_089081_2019-09-11_final
2019-09-19 09:06:24	ga_ls7e_ard_3-1-0_090085_2019-09-18_final
2019-09-27 09:52:42	ga_ls7e_ard_3-1-0_098078_2019-09-27_final
2019-10-08 09:35:42	ga_ls7e_ard_3-1-0_095083_2019-10-08_final
2019-11-02 11:07:43	ga_ls7e_ard_3-1-0_110084_2019-11-02_final
2019-11-06 10:38:26	ga_ls7e_ard_3-1-0_106073_2019-11-06_final
2019-11-18 11:02:12	ga_ls7e_ard_3-1-0_110072_2019-11-18_final
2019-12-01 08:54:59	ga_ls7e_ard_3-1-0_089080_2019-11-30_final
2019-12-02 09:33:01	ga_ls7e_ard_3-1-0_096067_2019-12-02_final
2019-12-15 09:09:03	ga_ls7e_ard_3-1-0_091086_2019-12-14_final
2019-12-22 10:49:22	ga_ls7e_ard_3-1-0_108075_2019-12-22_final
2019-12-23 09:54:29	ga_ls7e_ard_3-1-0_099077_2019-12-23_final
2020-01-01 09:48:14	ga_ls7e_ard_3-1-0_098078_2020-01-01_final
2020-01-15 10:01:53	ga_ls7e_ard_3-1-0_100083_2020-01-15_final
2020-02-04 09:31:23	ga_ls7e_ard_3-1-0_096071_2020-02-04_final
2020-02-11 09:36:48	ga_ls7e_ard_3-1-0_097070_2020-02-11_final
2020-03-06 10:26:10	ga_ls7e_ard_3-1-0_105073_2020-03-06_final
2020-03-17 10:05:02	ga_ls7e_ard_3-1-0_102068_2020-03-17_final
2020-03-22 10:25:41	ga_ls7e_ard_3-1-0_105074_2020-03-22_final
2020-03-23 11:08:54	ga_ls7e_ard_3-1-0_112074_2020-03-23_final
2020-04-11 10:03:02	ga_ls7e_ard_3-1-0_101082_2020-04-11_final
2020-04-20 09:55:07	ga_ls7e_ard_3-1-0_100079_2020-04-20_final
2020-04-26 10:54:58	ga_ls7e_ard_3-1-0_110075_2020-04-26_final
2020-05-14 09:07:50	ga_ls7e_ard_3-1-0_092088_2020-05-13_final
2020-06-17 10:24:45	ga_ls7e_ard_3-1-0_106069_2020-06-17_final
2020-07-03 08:52:54	ga_ls7e_ard_3-1-0_090089_2020-07-02_final
2021-03-14 10:24:17	ga_ls7e_ard_3-2-0_108083_2021-03-14_final
2021-03-15 09:22:12	ga_ls7e_ard_3-2-0_099067_2021-03-14_final
2021-04-28 09:44:28	ga_ls7e_ard_3-2-0_103070_2021-04-28_final
2021-05-20 09:05:33	ga_ls7e_ard_3-2-0_097070_2021-05-19_final
2021-06-02 08:37:31	ga_ls7e_ard_3-2-0_092080_2021-06-01_final
2021-06-03 09:21:30	ga_ls7e_ard_3-2-0_099082_2021-06-02_final
2021-06-13 09:57:46	ga_ls7e_ard_3-2-0_105082_2021-06-13_final
2021-06-28 09:11:41	ga_ls7e_ard_3-2-0_098078_2021-06-27_final
2021-07-22 09:55:29	ga_ls7e_ard_3-2-0_106069_2021-07-22_final
2021-07-31 09:48:07	ga_ls7e_ard_3-2-0_105068_2021-07-31_final
2021-08-12 08:40:05	ga_ls7e_ard_3-2-0_093086_2021-08-11_final
2021-08-21 08:32:42	ga_ls7e_ard_3-2-0_092085_2021-08-20_final
2021-08-21 10:05:36	ga_ls7e_ard_3-2-0_108070_2021-08-21_final
2021-08-30 08:24:57	ga_ls7e_ard_3-2-0_091083_2021-08-29_final
2021-09-12 09:25:49	ga_ls7e_ard_3-2-0_102068_2021-09-11_final
2021-09-15 09:57:14	ga_ls7e_ard_3-2-0_107070_2021-09-15_final
2021-10-12 09:35:31	ga_ls7e_ard_3-2-0_104068_2021-10-12_final
2021-12-28 09:00:30	ga_ls7e_ard_3-2-1_099076_2021-12-27_final
2022-01-06 10:31:53	ga_ls7e_ard_3-2-1_114075_2022-01-06_final
2022-01-07 09:35:47	ga_ls7e_ard_3-2-1_105074_2022-01-07_final
2022-01-11 09:11:53	ga_ls7e_ard_3-2-1_101077_2022-01-10_final
2022-01-31 10:22:55	ga_ls7e_ard_3-2-1_113074_2022-01-31_final
2022-03-10 08:08:23	ga_ls7e_ard_3-2-1_091087_2022-03-09_final
2022-03-19 09:32:35	ga_ls7e_ard_3-2-1_106068_2022-03-19_final
2022-03-26 08:08:01	ga_ls7e_ard_3-2-1_091090_2022-03-25_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