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
1999-07-09 10:02:42	ga_ls7e_ard_3-1-0_099069_1999-07-09_final
2000-03-24 10:33:50	ga_ls7e_ard_3-1-0_104070_2000-03-24_final
2000-09-16 10:31:48	ga_ls7e_ard_3-1-0_104070_2000-09-16_final
2001-03-05 09:28:34	ga_ls7e_ard_3-1-0_094067_2001-03-04_final
2002-04-25 09:27:00	ga_ls7e_ard_3-1-0_094067_2002-04-24_final
2002-07-24 10:10:20	ga_ls7e_ard_3-1-0_100084_2002-07-24_final
2002-08-25 10:10:08	ga_ls7e_ard_3-1-0_100084_2002-08-25_final
2002-08-31 09:26:13	ga_ls7e_ard_3-1-0_094067_2002-08-30_final
2003-03-17 10:29:57	ga_ls7e_ard_3-1-0_104070_2003-03-17_final
2004-07-29 10:09:46	ga_ls7e_ard_3-1-0_100081_2004-07-29_final
2004-09-27 10:29:49	ga_ls7e_ard_3-1-0_104070_2004-09-27_final
2004-10-17 10:09:32	ga_ls7e_ard_3-1-0_100081_2004-10-17_final
2005-01-17 10:30:38	ga_ls7e_ard_3-1-0_104070_2005-01-17_final
2005-05-19 09:34:13	ga_ls7e_ard_3-1-0_094083_2005-05-19_final
2005-12-19 10:30:51	ga_ls7e_ard_3-1-0_104070_2005-12-19_final
2005-12-29 09:27:57	ga_ls7e_ard_3-1-0_094067_2005-12-28_final
2007-08-22 09:28:25	ga_ls7e_ard_3-1-0_093083_2007-08-21_final
2007-10-09 09:28:08	ga_ls7e_ard_3-1-0_093083_2007-10-08_final
2008-03-01 09:29:02	ga_ls7e_ard_3-1-0_093084_2008-02-29_final
2008-03-08 09:28:23	ga_ls7e_ard_3-1-0_094067_2008-03-07_final
2008-06-23 10:50:13	ga_ls7e_ard_3-1-0_107072_2008-06-23_final
2008-10-24 10:30:03	ga_ls7e_ard_3-1-0_104070_2008-10-24_final
2009-04-18 10:31:35	ga_ls7e_ard_3-1-0_104070_2009-04-18_final
2009-08-08 10:31:25	ga_ls7e_ard_3-1-0_104070_2009-08-08_final
2009-10-11 10:31:17	ga_ls7e_ard_3-1-0_104070_2009-10-11_final
2009-11-12 10:31:48	ga_ls7e_ard_3-1-0_104070_2009-11-12_final
2010-03-23 09:29:48	ga_ls7e_ard_3-1-0_093081_2010-03-22_final
2010-04-24 09:29:50	ga_ls7e_ard_3-1-0_093081_2010-04-23_final
2011-01-12 09:31:30	ga_ls7e_ard_3-1-0_094067_2011-01-12_final
2011-02-03 10:34:38	ga_ls7e_ard_3-1-0_104070_2011-02-03_final
2011-10-17 10:34:31	ga_ls7e_ard_3-1-0_104070_2011-10-17_final
2012-10-29 09:34:04	ga_ls7e_ard_3-1-0_094067_2012-10-29_final
2012-12-06 10:37:12	ga_ls7e_ard_3-1-0_104070_2012-12-06_final
2013-01-23 10:39:48	ga_ls7e_ard_3-1-0_104076_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
2013-11-23 10:37:27	ga_ls7e_ard_3-1-0_104070_2013-11-23_final
2015-03-02 10:40:06	ga_ls7e_ard_3-1-0_104070_2015-03-02_final
2015-04-22 09:37:39	ga_ls7e_ard_3-1-0_093083_2015-04-22_final
2016-07-26 10:43:50	ga_ls7e_ard_3-1-0_104070_2016-07-26_final
2016-11-09 09:40:50	ga_ls7e_ard_3-1-0_094067_2016-11-09_final
2017-05-26 10:43:45	ga_ls7e_ard_3-1-0_104070_2017-05-26_final
2017-11-18 10:43:48	ga_ls7e_ard_3-1-0_104070_2017-11-18_final
2018-02-25 09:39:51	ga_ls7e_ard_3-1-0_093083_2018-02-25_final
2018-05-13 10:41:29	ga_ls7e_ard_3-1-0_104070_2018-05-13_final
2019-02-18 10:30:23	ga_ls7e_ard_3-1-0_103074_2019-02-18_final
2019-02-18 10:31:59	ga_ls7e_ard_3-1-0_103078_2019-02-18_final
2019-02-25 10:37:33	ga_ls7e_ard_3-1-0_104077_2019-02-25_final
2019-02-25 10:37:57	ga_ls7e_ard_3-1-0_104078_2019-02-25_final
2019-02-28 09:33:28	ga_ls7e_ard_3-1-0_093087_2019-02-28_final
2019-03-02 10:55:32	ga_ls7e_ard_3-1-0_107076_2019-03-02_final
2019-03-06 10:30:41	ga_ls7e_ard_3-1-0_103076_2019-03-06_final
2019-03-17 10:13:23	ga_ls7e_ard_3-1-0_100080_2019-03-17_final
2019-03-22 10:32:09	ga_ls7e_ard_3-1-0_103081_2019-03-22_final
2019-08-24 10:04:57	ga_ls7e_ard_3-1-0_100074_2019-08-24_final
2019-09-08 09:22:14	ga_ls7e_ard_3-1-0_093077_2019-09-07_final
2019-09-24 09:23:55	ga_ls7e_ard_3-1-0_093083_2019-09-23_final
2019-09-25 10:05:32	ga_ls7e_ard_3-1-0_100079_2019-09-25_final
2019-09-25 10:05:56	ga_ls7e_ard_3-1-0_100080_2019-09-25_final
2019-09-26 10:48:45	ga_ls7e_ard_3-1-0_107079_2019-09-26_final
2019-10-10 09:19:40	ga_ls7e_ard_3-1-0_093074_2019-10-09_final
2019-10-10 09:20:28	ga_ls7e_ard_3-1-0_093076_2019-10-09_final
2019-10-23 10:25:54	ga_ls7e_ard_3-1-0_104071_2019-10-23_final
2019-10-27 10:04:12	ga_ls7e_ard_3-1-0_100079_2019-10-27_final
2019-10-28 10:47:49	ga_ls7e_ard_3-1-0_107080_2019-10-28_final
2019-11-11 09:18:16	ga_ls7e_ard_3-1-0_093074_2019-11-10_final
2019-11-21 09:55:17	ga_ls7e_ard_3-1-0_099075_2019-11-21_final
2019-11-24 10:27:38	ga_ls7e_ard_3-1-0_104079_2019-11-24_final
2019-12-10 10:24:51	ga_ls7e_ard_3-1-0_104074_2019-12-10_final
2019-12-13 09:18:19	ga_ls7e_ard_3-1-0_093078_2019-12-12_final
2019-12-14 09:59:56	ga_ls7e_ard_3-1-0_100074_2019-12-14_final
2019-12-14 10:02:19	ga_ls7e_ard_3-1-0_100080_2019-12-14_final
2019-12-29 09:18:42	ga_ls7e_ard_3-1-0_093081_2019-12-28_final
2019-12-29 09:21:05	ga_ls7e_ard_3-1-0_093087_2019-12-28_final
2020-01-04 10:18:11	ga_ls7e_ard_3-1-0_103076_2020-01-04_final
2020-01-04 10:18:35	ga_ls7e_ard_3-1-0_103077_2020-01-04_final
2020-01-15 10:01:29	ga_ls7e_ard_3-1-0_100082_2020-01-15_final
2020-01-21 09:24:55	ga_ls7e_ard_3-1-0_094084_2020-01-20_final
2020-01-27 10:22:01	ga_ls7e_ard_3-1-0_104073_2020-01-27_final
2020-01-30 09:15:05	ga_ls7e_ard_3-1-0_093076_2020-01-29_final
2020-02-06 09:23:42	ga_ls7e_ard_3-1-0_094083_2020-02-05_final
2020-02-09 09:51:16	ga_ls7e_ard_3-1-0_099075_2020-02-09_final
2020-02-16 09:58:40	ga_ls7e_ard_3-1-0_100079_2020-02-16_final
2020-02-17 10:41:29	ga_ls7e_ard_3-1-0_107078_2020-02-17_final
2020-02-28 10:22:22	ga_ls7e_ard_3-1-0_104078_2020-02-28_final
2020-03-15 10:21:30	ga_ls7e_ard_3-1-0_104078_2020-03-15_final
2020-03-18 09:12:33	ga_ls7e_ard_3-1-0_093076_2020-03-17_final
2020-03-24 10:14:25	ga_ls7e_ard_3-1-0_103077_2020-03-24_final
2020-03-25 09:21:32	ga_ls7e_ard_3-1-0_094084_2020-03-24_final
2020-04-03 09:11:39	ga_ls7e_ard_3-1-0_093076_2020-04-02_final
2020-04-05 10:38:27	ga_ls7e_ard_3-1-0_107077_2020-04-05_final
2020-04-19 09:14:19	ga_ls7e_ard_3-1-0_093085_2020-04-18_final
2020-04-21 10:37:56	ga_ls7e_ard_3-1-0_107078_2020-04-21_final
2020-04-25 10:13:46	ga_ls7e_ard_3-1-0_103080_2020-04-25_final
2022-03-19 09:36:34	ga_ls7e_ard_3-2-1_106078_2022-03-19_final
2022-03-22 10:08:47	ga_ls7e_ard_3-2-1_111082_2022-03-22_final
2022-03-23 09:12:17	ga_ls7e_ard_3-2-1_102080_2022-03-22_final
2022-03-27 10:24:52	ga_ls7e_ard_3-2-1_114077_2022-03-27_final
2022-04-02 08:10:44	ga_ls7e_ard_3-2-1_092083_2022-04-01_final
2022-04-05 08:36:32	ga_ls7e_ard_3-2-1_097071_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