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
1999-09-30 10:34:15	ga_ls7e_ard_3-1-0_104070_1999-09-30_final
2000-03-24 10:33:50	ga_ls7e_ard_3-1-0_104070_2000-03-24_final
2000-08-31 10:32:07	ga_ls7e_ard_3-1-0_104070_2000-08-31_final
2001-02-26 09:30:22	ga_ls7e_ard_3-1-0_093087_2001-02-26_final
2001-02-26 09:30:46	ga_ls7e_ard_3-1-0_093088_2001-02-26_final
2001-06-15 10:30:48	ga_ls7e_ard_3-1-0_104070_2001-06-15_final
2001-07-01 10:30:35	ga_ls7e_ard_3-1-0_104070_2001-07-01_final
2001-08-18 10:30:03	ga_ls7e_ard_3-1-0_104070_2001-08-18_final
2001-11-06 10:29:37	ga_ls7e_ard_3-1-0_104070_2001-11-06_final
2002-07-04 10:29:40	ga_ls7e_ard_3-1-0_104070_2002-07-04_final
2004-03-19 10:30:30	ga_ls7e_ard_3-1-0_104070_2004-03-19_final
2004-07-25 10:30:08	ga_ls7e_ard_3-1-0_104070_2004-07-25_final
2004-09-11 10:29:53	ga_ls7e_ard_3-1-0_104070_2004-09-11_final
2004-12-16 10:34:01	ga_ls7e_ard_3-1-0_104079_2004-12-16_final
2005-03-06 10:30:55	ga_ls7e_ard_3-1-0_104070_2005-03-06_final
2005-04-23 10:30:46	ga_ls7e_ard_3-1-0_104070_2005-04-23_final
2005-05-28 09:28:00	ga_ls7e_ard_3-1-0_093083_2005-05-27_final
2005-06-10 10:30:43	ga_ls7e_ard_3-1-0_104070_2005-06-10_final
2005-06-26 10:34:13	ga_ls7e_ard_3-1-0_104079_2005-06-26_final
2005-09-30 10:30:18	ga_ls7e_ard_3-1-0_104070_2005-09-30_final
2006-08-16 10:30:54	ga_ls7e_ard_3-1-0_104070_2006-08-16_final
2006-10-19 10:30:46	ga_ls7e_ard_3-1-0_104070_2006-10-19_final
2007-06-03 09:28:41	ga_ls7e_ard_3-1-0_093083_2007-06-02_final
2007-07-18 10:31:25	ga_ls7e_ard_3-1-0_104070_2007-07-18_final
2008-03-01 09:25:50	ga_ls7e_ard_3-1-0_093076_2008-02-29_final
2008-03-01 09:27:02	ga_ls7e_ard_3-1-0_093079_2008-02-29_final
2008-03-01 09:29:02	ga_ls7e_ard_3-1-0_093084_2008-02-29_final
2008-12-27 10:30:49	ga_ls7e_ard_3-1-0_104070_2008-12-27_final
2009-02-16 09:29:57	ga_ls7e_ard_3-1-0_093087_2009-02-15_final
2009-05-04 10:31:38	ga_ls7e_ard_3-1-0_104070_2009-05-04_final
2009-07-23 10:31:31	ga_ls7e_ard_3-1-0_104070_2009-07-23_final
2010-10-01 09:27:03	ga_ls7e_ard_3-1-0_093074_2010-09-30_final
2011-09-15 10:34:30	ga_ls7e_ard_3-1-0_104070_2011-09-15_final
2011-11-18 10:34:50	ga_ls7e_ard_3-1-0_104070_2011-11-18_final
2012-02-22 10:35:22	ga_ls7e_ard_3-1-0_104070_2012-02-22_final
2012-03-25 10:35:21	ga_ls7e_ard_3-1-0_104070_2012-03-25_final
2012-06-29 10:35:46	ga_ls7e_ard_3-1-0_104070_2012-06-29_final
2012-11-20 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-11-20_final
2013-01-23 10:37:25	ga_ls7e_ard_3-1-0_104070_2013-01-23_final
2013-01-23 10:41:24	ga_ls7e_ard_3-1-0_104080_2013-01-23_final
2013-08-06 09:30:06	ga_ls7e_ard_3-1-0_093074_2013-08-06_final
2013-08-22 09:30:12	ga_ls7e_ard_3-1-0_093074_2013-08-22_final
2014-08-06 10:38:53	ga_ls7e_ard_3-1-0_104070_2014-08-06_final
2015-02-18 10:19:38	ga_ls7e_ard_3-1-0_100081_2015-02-18_final
2015-08-09 10:41:03	ga_ls7e_ard_3-1-0_104070_2015-08-09_final
2016-11-15 10:43:46	ga_ls7e_ard_3-1-0_104070_2016-11-15_final
2018-02-25 09:39:51	ga_ls7e_ard_3-1-0_093083_2018-02-25_final
2018-05-01 10:21:21	ga_ls7e_ard_3-1-0_100081_2018-05-01_final
2019-02-25 10:35:33	ga_ls7e_ard_3-1-0_104072_2019-02-25_final
2019-02-25 10:37:33	ga_ls7e_ard_3-1-0_104077_2019-02-25_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-01 10:14:42	ga_ls7e_ard_3-1-0_100082_2019-03-01_final
2019-03-16 09:30:09	ga_ls7e_ard_3-1-0_093080_2019-03-16_final
2019-05-16 10:31:56	ga_ls7e_ard_3-1-0_104070_2019-05-16_final
2019-08-24 10:05:21	ga_ls7e_ard_3-1-0_100075_2019-08-24_final
2019-08-24 10:06:56	ga_ls7e_ard_3-1-0_100079_2019-08-24_final
2019-09-08 09:22:14	ga_ls7e_ard_3-1-0_093077_2019-09-07_final
2019-09-10 10:48:16	ga_ls7e_ard_3-1-0_107076_2019-09-10_final
2019-09-21 10:27:14	ga_ls7e_ard_3-1-0_104071_2019-09-21_final
2019-09-25 10:03:32	ga_ls7e_ard_3-1-0_100074_2019-09-25_final
2019-09-25 10:05:32	ga_ls7e_ard_3-1-0_100079_2019-09-25_final
2019-09-26 10:46:22	ga_ls7e_ard_3-1-0_107073_2019-09-26_final
2019-09-26 10:48:45	ga_ls7e_ard_3-1-0_107079_2019-09-26_final
2019-09-26 10:49:33	ga_ls7e_ard_3-1-0_107081_2019-09-26_final
2019-10-04 09:56:36	ga_ls7e_ard_3-1-0_099073_2019-10-04_final
2019-10-23 10:25:06	ga_ls7e_ard_3-1-0_104069_2019-10-23_final
2019-10-26 09:18:59	ga_ls7e_ard_3-1-0_093074_2019-10-25_final
2019-10-27 10:04:12	ga_ls7e_ard_3-1-0_100079_2019-10-27_final
2019-11-11 09:18:40	ga_ls7e_ard_3-1-0_093075_2019-11-10_final
2019-11-13 10:44:18	ga_ls7e_ard_3-1-0_107073_2019-11-13_final
2019-12-07 09:51:42	ga_ls7e_ard_3-1-0_099068_2019-12-07_final
2019-12-10 10:26:03	ga_ls7e_ard_3-1-0_104077_2019-12-10_final
2019-12-14 10:03:31	ga_ls7e_ard_3-1-0_100083_2019-12-14_final
2019-12-26 10:22:26	ga_ls7e_ard_3-1-0_104070_2019-12-26_final
2020-01-11 10:23:36	ga_ls7e_ard_3-1-0_104075_2020-01-11_final
2020-01-14 09:20:16	ga_ls7e_ard_3-1-0_093087_2020-01-13_final
2020-01-30 09:19:05	ga_ls7e_ard_3-1-0_093086_2020-01-29_final
2020-02-15 09:15:28	ga_ls7e_ard_3-1-0_093079_2020-02-14_final
2020-02-16 09:58:40	ga_ls7e_ard_3-1-0_100079_2020-02-16_final
2020-02-28 10:22:22	ga_ls7e_ard_3-1-0_104078_2020-02-28_final
2020-03-02 09:13:25	ga_ls7e_ard_3-1-0_093076_2020-03-01_final
2020-03-12 09:49:58	ga_ls7e_ard_3-1-0_099076_2020-03-12_final
2020-03-20 10:39:21	ga_ls7e_ard_3-1-0_107077_2020-03-20_final
2020-04-03 09:12:27	ga_ls7e_ard_3-1-0_093078_2020-04-02_final
2020-04-04 09:56:03	ga_ls7e_ard_3-1-0_100079_2020-04-04_final
2020-04-05 10:40:03	ga_ls7e_ard_3-1-0_107081_2020-04-05_final
2020-04-16 10:20:29	ga_ls7e_ard_3-1-0_104080_2020-04-16_final
2020-04-21 10:37:56	ga_ls7e_ard_3-1-0_107078_2020-04-21_final
2022-03-15 10:01:18	ga_ls7e_ard_3-2-1_110077_2022-03-15_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-20 08:39:16	ga_ls7e_ard_3-2-1_097074_2022-03-19_final
2022-03-23 09:11:05	ga_ls7e_ard_3-2-1_102077_2022-03-22_final
2022-03-30 09:16:12	ga_ls7e_ard_3-2-1_103076_2022-03-29_final
2022-03-31 08:19:41	ga_ls7e_ard_3-2-1_094074_2022-03-30_final
2022-03-31 08:22:05	ga_ls7e_ard_3-2-1_094080_2022-03-30_final
2022-03-31 08:22:29	ga_ls7e_ard_3-2-1_094081_2022-03-30_final
2022-04-01 09:03:39	ga_ls7e_ard_3-2-1_101076_2022-03-31_final
2022-04-01 09:05:39	ga_ls7e_ard_3-2-1_101081_2022-03-31_final
2022-04-02 09:45:13	ga_ls7e_ard_3-2-1_108072_2022-04-02_final
2022-04-05 08:37:44	ga_ls7e_ard_3-2-1_097074_2022-04-04_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