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
1999-10-16 10:34:12	ga_ls7e_ard_3-1-0_104070_1999-10-16_final
2000-08-15 10:32:19	ga_ls7e_ard_3-1-0_104070_2000-08-15_final
2002-05-01 10:30:04	ga_ls7e_ard_3-1-0_104070_2002-05-01_final
2002-07-20 10:29:32	ga_ls7e_ard_3-1-0_104070_2002-07-20_final
2002-08-05 10:29:25	ga_ls7e_ard_3-1-0_104070_2002-08-05_final
2002-08-09 10:10:16	ga_ls7e_ard_3-1-0_100084_2002-08-09_final
2003-02-07 09:33:15	ga_ls7e_ard_3-1-0_094083_2003-02-07_final
2003-08-02 09:29:51	ga_ls7e_ard_3-1-0_094075_2003-08-01_final
2003-09-19 09:32:50	ga_ls7e_ard_3-1-0_094083_2003-09-19_final
2003-10-27 10:33:12	ga_ls7e_ard_3-1-0_104079_2003-10-27_final
2003-11-22 09:30:05	ga_ls7e_ard_3-1-0_094075_2003-11-22_final
2004-02-10 09:33:43	ga_ls7e_ard_3-1-0_094083_2004-02-10_final
2004-07-03 09:33:37	ga_ls7e_ard_3-1-0_094083_2004-07-03_final
2005-08-17 10:10:13	ga_ls7e_ard_3-1-0_100081_2005-08-17_final
2006-09-27 09:34:04	ga_ls7e_ard_3-1-0_094083_2006-09-27_final
2007-12-01 11:24:30	ga_ls7e_ard_3-1-0_112079_2007-12-01_final
2008-02-15 10:11:10	ga_ls7e_ard_3-1-0_100081_2008-02-15_final
2008-03-30 10:31:22	ga_ls7e_ard_3-1-0_104070_2008-03-30_final
2008-09-16 09:33:31	ga_ls7e_ard_3-1-0_094083_2008-09-16_final
2008-11-01 11:22:25	ga_ls7e_ard_3-1-0_112077_2008-11-01_final
2009-05-04 10:35:14	ga_ls7e_ard_3-1-0_104079_2009-05-04_final
2009-08-27 09:28:36	ga_ls7e_ard_3-1-0_093083_2009-08-26_final
2010-01-15 10:32:44	ga_ls7e_ard_3-1-0_104070_2010-01-15_final
2010-03-04 10:33:17	ga_ls7e_ard_3-1-0_104070_2010-03-04_final
2010-10-01 09:28:15	ga_ls7e_ard_3-1-0_093077_2010-09-30_final
2011-05-02 11:27:05	ga_ls7e_ard_3-1-0_112077_2011-05-02_final
2012-07-03 10:15:30	ga_ls7e_ard_3-1-0_100081_2012-07-03_final
2012-10-07 10:16:32	ga_ls7e_ard_3-1-0_100081_2012-10-07_final
2012-10-23 10:16:42	ga_ls7e_ard_3-1-0_100081_2012-10-23_final
2012-11-14 09:40:33	ga_ls7e_ard_3-1-0_094083_2012-11-14_final
2013-01-23 10:39:24	ga_ls7e_ard_3-1-0_104075_2013-01-23_final
2013-05-03 10:16:48	ga_ls7e_ard_3-1-0_100081_2013-05-03_final
2014-04-04 10:17:53	ga_ls7e_ard_3-1-0_100081_2014-04-04_final
2014-06-29 09:42:06	ga_ls7e_ard_3-1-0_094083_2014-06-29_final
2015-01-13 10:43:23	ga_ls7e_ard_3-1-0_104079_2015-01-13_final
2015-08-07 09:19:18	ga_ls7e_ard_3-1-0_090082_2015-08-06_final
2015-09-10 10:41:08	ga_ls7e_ard_3-1-0_104070_2015-09-10_final
2017-04-12 10:23:13	ga_ls7e_ard_3-1-0_100081_2017-04-12_final
2017-06-30 09:41:05	ga_ls7e_ard_3-1-0_093083_2017-06-30_final
2017-08-17 09:41:02	ga_ls7e_ard_3-1-0_093083_2017-08-17_final
2017-08-18 10:23:30	ga_ls7e_ard_3-1-0_100081_2017-08-18_final
2017-08-24 09:47:13	ga_ls7e_ard_3-1-0_094083_2017-08-24_final
2018-03-04 09:45:57	ga_ls7e_ard_3-1-0_094083_2018-03-04_final
2018-04-05 09:45:31	ga_ls7e_ard_3-1-0_094083_2018-04-05_final
2019-02-03 09:38:48	ga_ls7e_ard_3-1-0_094083_2019-02-03_final
2019-02-17 11:27:14	ga_ls7e_ard_3-1-0_112077_2019-02-17_final
2019-02-25 10:38:45	ga_ls7e_ard_3-1-0_104080_2019-02-25_final
2019-02-28 09:30:16	ga_ls7e_ard_3-1-0_093079_2019-02-28_final
2019-03-05 11:25:56	ga_ls7e_ard_3-1-0_112075_2019-03-05_final
2019-03-18 10:57:01	ga_ls7e_ard_3-1-0_107081_2019-03-18_final
2019-03-22 10:30:10	ga_ls7e_ard_3-1-0_103076_2019-03-22_final
2019-03-23 09:38:06	ga_ls7e_ard_3-1-0_094085_2019-03-23_final
2019-03-29 10:33:43	ga_ls7e_ard_3-1-0_104070_2019-03-29_final
2019-08-29 10:24:28	ga_ls7e_ard_3-1-0_103077_2019-08-29_final
2019-09-05 10:29:33	ga_ls7e_ard_3-1-0_104075_2019-09-05_final
2019-09-05 10:29:57	ga_ls7e_ard_3-1-0_104076_2019-09-05_final
2019-09-05 10:30:21	ga_ls7e_ard_3-1-0_104077_2019-09-05_final
2019-09-10 10:47:04	ga_ls7e_ard_3-1-0_107073_2019-09-10_final
2019-09-15 09:28:54	ga_ls7e_ard_3-1-0_094079_2019-09-14_final
2019-09-18 09:57:40	ga_ls7e_ard_3-1-0_099074_2019-09-18_final
2019-09-21 10:28:50	ga_ls7e_ard_3-1-0_104075_2019-09-21_final
2019-09-21 10:29:38	ga_ls7e_ard_3-1-0_104077_2019-09-21_final
2019-09-30 10:22:17	ga_ls7e_ard_3-1-0_103075_2019-09-30_final
2019-10-11 10:03:17	ga_ls7e_ard_3-1-0_100075_2019-10-11_final
2019-10-17 09:25:57	ga_ls7e_ard_3-1-0_094075_2019-10-16_final
2019-10-20 09:56:43	ga_ls7e_ard_3-1-0_099075_2019-10-20_final
2019-11-05 09:55:37	ga_ls7e_ard_3-1-0_099074_2019-11-05_final
2019-11-11 09:19:28	ga_ls7e_ard_3-1-0_093077_2019-11-10_final
2019-11-18 09:25:19	ga_ls7e_ard_3-1-0_094077_2019-11-17_final
2019-11-21 09:54:53	ga_ls7e_ard_3-1-0_099074_2019-11-21_final
2019-11-24 10:28:26	ga_ls7e_ard_3-1-0_104081_2019-11-24_final
2019-11-27 09:19:54	ga_ls7e_ard_3-1-0_093080_2019-11-26_final
2019-12-10 10:25:15	ga_ls7e_ard_3-1-0_104075_2019-12-10_final
2019-12-29 09:17:30	ga_ls7e_ard_3-1-0_093078_2019-12-28_final
2020-01-03 11:14:15	ga_ls7e_ard_3-1-0_112077_2020-01-03_final
2020-02-04 11:12:39	ga_ls7e_ard_3-1-0_112077_2020-02-04_final
2020-02-05 10:16:11	ga_ls7e_ard_3-1-0_103075_2020-02-05_final
2020-03-02 09:15:01	ga_ls7e_ard_3-1-0_093080_2020-03-01_final
2020-03-07 11:10:10	ga_ls7e_ard_3-1-0_112075_2020-03-07_final
2020-03-07 11:10:58	ga_ls7e_ard_3-1-0_112077_2020-03-07_final
2020-03-20 10:39:45	ga_ls7e_ard_3-1-0_107078_2020-03-20_final
2020-03-23 11:09:42	ga_ls7e_ard_3-1-0_112076_2020-03-23_final
2020-03-25 09:17:56	ga_ls7e_ard_3-1-0_094075_2020-03-24_final
2020-03-28 09:48:40	ga_ls7e_ard_3-1-0_099075_2020-03-28_final
2020-04-13 09:50:09	ga_ls7e_ard_3-1-0_099081_2020-04-13_final
2020-04-16 10:16:05	ga_ls7e_ard_3-1-0_104069_2020-04-16_final
2020-04-16 10:19:17	ga_ls7e_ard_3-1-0_104077_2020-04-16_final
2020-04-21 10:35:56	ga_ls7e_ard_3-1-0_107073_2020-04-21_final
2020-04-25 10:11:46	ga_ls7e_ard_3-1-0_103075_2020-04-25_final
2020-04-29 09:46:01	ga_ls7e_ard_3-1-0_099073_2020-04-29_final
2022-03-13 10:13:04	ga_ls7e_ard_3-2-1_112075_2022-03-13_final
2022-03-19 07:58:30	ga_ls7e_ard_3-2-1_090080_2022-03-18_final
2022-03-19 09:36:58	ga_ls7e_ard_3-2-1_106079_2022-03-19_final
2022-03-19 09:38:10	ga_ls7e_ard_3-2-1_106082_2022-03-19_final
2022-03-20 10:19:20	ga_ls7e_ard_3-2-1_113077_2022-03-20_final
2022-03-21 09:24:50	ga_ls7e_ard_3-2-1_104080_2022-03-20_final
2022-03-23 09:11:53	ga_ls7e_ard_3-2-1_102079_2022-03-22_final
2022-03-24 08:17:46	ga_ls7e_ard_3-2-1_093083_2022-03-23_final
2022-03-26 09:41:42	ga_ls7e_ard_3-2-1_107077_2022-03-26_final
2022-03-28 09:27:09	ga_ls7e_ard_3-2-1_105072_2022-03-27_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