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
1999-11-30 11:43:59	ga_ls7e_ard_3-0-0_115075_1999-11-30_final
2000-01-21 09:39:35	ga_ls7e_ard_3-1-0_095073_2000-01-21_final
2000-07-11 11:44:18	ga_ls7e_ard_3-0-0_115079_2000-07-11_final
2000-11-16 11:42:20	ga_ls7e_ard_3-1-0_115077_2000-11-16_final
2001-11-19 11:41:20	ga_ls7e_ard_3-0-0_115079_2001-11-19_final
2001-12-05 11:40:28	ga_ls7e_ard_3-1-0_115077_2001-12-05_final
2002-02-07 11:40:53	ga_ls7e_ard_3-1-0_115077_2002-02-07_final
2002-02-23 11:40:06	ga_ls7e_ard_3-0-0_115075_2002-02-23_final
2002-05-30 11:41:01	ga_ls7e_ard_3-0-0_115078_2002-05-30_final
2003-01-25 11:40:30	ga_ls7e_ard_3-1-0_115077_2003-01-25_final
2003-03-02 09:33:06	ga_ls7e_ard_3-0-0_095067_2003-03-02_final
2003-03-14 11:40:44	ga_ls7e_ard_3-1-0_115077_2003-03-14_final
2003-08-09 09:40:23	ga_ls7e_ard_3-0-0_095086_2003-08-09_final
2004-06-20 11:41:01	ga_ls7e_ard_3-0-0_115077_2004-06-20_final
2004-10-26 11:40:47	ga_ls7e_ard_3-1-0_115077_2004-10-26_final
2005-03-07 09:36:06	ga_ls7e_ard_3-0-0_095072_2005-03-07_final
2005-04-20 11:40:44	ga_ls7e_ard_3-0-0_115075_2005-04-20_final
2006-02-06 09:41:37	ga_ls7e_ard_3-0-0_095085_2006-02-06_final
2006-10-16 11:40:42	ga_ls7e_ard_3-0-0_115075_2006-10-16_final
2006-11-17 11:41:09	ga_ls7e_ard_3-0-0_115075_2006-11-17_final
2006-11-17 11:42:45	ga_ls7e_ard_3-0-0_115079_2006-11-17_final
2007-12-22 11:42:44	ga_ls7e_ard_3-0-0_115078_2007-12-22_final
2008-02-12 09:42:41	ga_ls7e_ard_3-0-0_095087_2008-02-12_final
2009-06-18 11:42:49	ga_ls7e_ard_3-0-0_115078_2009-06-18_final
2009-06-22 09:42:00	ga_ls7e_ard_3-0-0_095085_2009-06-22_final
2010-01-12 11:44:16	ga_ls7e_ard_3-0-0_115079_2010-01-12_final
2010-12-02 09:45:18	ga_ls7e_ard_3-0-0_095087_2010-12-02_final
2011-06-08 11:44:48	ga_ls7e_ard_3-0-0_115075_2011-06-08_final
2011-07-14 09:45:31	ga_ls7e_ard_3-0-0_095086_2011-07-14_final
2012-08-16 09:02:17	ga_ls7e_ard_3-0-0_088082_2012-08-15_final
2014-02-08 11:48:05	ga_ls7e_ard_3-0-0_115075_2014-02-08_final
2014-03-12 11:48:25	ga_ls7e_ard_3-0-0_115076_2014-03-12_final
2015-04-04 09:51:06	ga_ls7e_ard_3-0-0_095086_2015-04-04_final
2015-08-06 11:51:01	ga_ls7e_ard_3-0-0_115075_2015-08-06_final
2017-03-04 11:52:55	ga_ls7e_ard_3-0-0_115074_2017-03-04_final
2017-08-11 11:54:13	ga_ls7e_ard_3-0-0_115076_2017-08-11_final
2017-09-28 11:53:24	ga_ls7e_ard_3-0-0_115074_2017-09-28_final
2017-11-19 09:54:58	ga_ls7e_ard_3-0-0_095087_2017-11-19_final
2018-05-30 09:46:24	ga_ls7e_ard_3-0-0_095072_2018-05-30_final
2018-08-30 11:49:05	ga_ls7e_ard_3-0-0_115074_2018-08-30_final
2018-12-04 11:47:38	ga_ls7e_ard_3-0-0_115076_2018-12-04_final
2019-09-06 09:30:41	ga_ls7e_ard_3-1-0_095067_2019-09-06_final
2019-09-18 11:37:21	ga_ls7e_ard_3-1-0_115076_2019-09-18_final
2019-09-22 09:37:34	ga_ls7e_ard_3-1-0_095086_2019-09-22_final
2019-11-14 11:30:42	ga_ls7e_ard_3-1-0_114081_2019-11-14_final
2019-11-21 11:35:45	ga_ls7e_ard_3-1-0_115079_2019-11-21_final
2019-12-23 11:33:46	ga_ls7e_ard_3-1-0_115078_2019-12-23_final
2020-08-28 11:14:07	ga_ls7e_ard_3-1-0_114080_2020-08-28_final
2021-02-08 09:01:34	ga_ls7e_ard_3-2-0_094086_2021-02-07_final
2021-02-12 10:12:38	ga_ls7e_ard_3-2-0_106079_2021-02-12_final
2021-02-17 10:27:13	ga_ls7e_ard_3-2-0_109070_2021-02-17_final
2021-02-20 09:22:36	ga_ls7e_ard_3-2-0_098079_2021-02-19_final
2021-03-01 09:18:07	ga_ls7e_ard_3-2-0_097085_2021-02-28_final
2021-03-06 09:31:05	ga_ls7e_ard_3-2-0_100072_2021-03-06_final
2021-03-08 10:58:15	ga_ls7e_ard_3-2-0_114074_2021-03-08_final
2021-03-14 08:42:13	ga_ls7e_ard_3-2-0_092075_2021-03-13_final
2021-03-25 08:27:11	ga_ls7e_ard_3-2-0_089086_2021-03-24_final
2021-03-27 09:47:57	ga_ls7e_ard_3-2-0_103072_2021-03-27_final
2021-04-10 10:00:21	ga_ls7e_ard_3-2-0_105075_2021-04-10_final
2021-04-12 09:45:02	ga_ls7e_ard_3-2-0_103068_2021-04-12_final
2021-04-27 10:44:34	ga_ls7e_ard_3-2-0_112081_2021-04-27_final
2021-05-02 09:20:13	ga_ls7e_ard_3-2-0_099072_2021-05-01_final
2021-05-17 10:13:47	ga_ls7e_ard_3-2-0_108070_2021-05-17_final
2021-06-07 10:29:45	ga_ls7e_ard_3-2-0_111068_2021-06-07_final
2021-06-20 08:23:18	ga_ls7e_ard_3-2-0_090079_2021-06-19_final
2021-07-05 09:14:05	ga_ls7e_ard_3-2-0_099070_2021-07-04_final
2021-07-14 09:10:19	ga_ls7e_ard_3-2-0_098078_2021-07-13_final
2021-07-22 09:55:05	ga_ls7e_ard_3-2-0_106068_2021-07-22_final
2021-07-29 10:03:03	ga_ls7e_ard_3-2-0_107074_2021-07-29_final
2021-08-21 08:32:18	ga_ls7e_ard_3-2-0_092084_2021-08-20_final
2021-09-09 10:36:27	ga_ls7e_ard_3-2-0_113074_2021-09-09_final
2021-09-16 10:44:24	ga_ls7e_ard_3-2-0_114080_2021-09-16_final
2021-09-23 09:07:05	ga_ls7e_ard_3-2-0_099070_2021-09-22_final
2021-09-24 08:18:58	ga_ls7e_ard_3-2-0_090089_2021-09-23_final
2021-09-28 09:24:22	ga_ls7e_ard_3-2-0_102068_2021-09-27_final
2021-10-02 08:59:18	ga_ls7e_ard_3-2-0_098068_2021-10-01_final
2021-10-16 09:11:38	ga_ls7e_ard_3-2-0_100071_2021-10-15_final
2021-10-17 09:59:35	ga_ls7e_ard_3-2-0_107083_2021-10-17_final
2021-10-23 09:17:58	ga_ls7e_ard_3-2-0_101073_2021-10-22_final
2021-11-02 08:17:15	ga_ls7e_ard_3-2-0_091078_2021-11-01_final
2021-11-04 09:39:59	ga_ls7e_ard_3-2-0_105069_2021-11-04_final
2021-11-09 08:26:21	ga_ls7e_ard_3-2-0_092087_2021-11-08_final
2021-11-10 09:08:19	ga_ls7e_ard_3-2-0_099084_2021-11-09_final
2021-11-28 08:48:38	ga_ls7e_ard_3-2-1_097070_2021-11-27_final
2021-12-13 08:10:21	ga_ls7e_ard_3-2-1_090086_2021-12-12_final
2021-12-13 08:11:08	ga_ls7e_ard_3-2-1_090088_2021-12-12_final
2021-12-18 08:23:37	ga_ls7e_ard_3-2-1_093074_2021-12-17_final
2021-12-19 09:07:34	ga_ls7e_ard_3-2-1_100076_2021-12-18_final
2021-12-20 08:12:39	ga_ls7e_ard_3-2-1_091078_2021-12-19_final
2021-12-29 09:41:16	ga_ls7e_ard_3-2-1_106070_2021-12-29_final
2021-12-29 09:43:39	ga_ls7e_ard_3-2-1_106076_2021-12-29_final
2022-01-03 08:27:36	ga_ls7e_ard_3-2-1_093088_2022-01-02_final
2022-01-17 10:11:07	ga_ls7e_ard_3-2-1_111072_2022-01-17_final
2022-01-22 10:30:47	ga_ls7e_ard_3-2-1_114076_2022-01-22_final
2022-01-29 09:00:35	ga_ls7e_ard_3-2-1_099084_2022-01-28_final
2022-01-31 08:45:38	ga_ls7e_ard_3-2-1_097078_2022-01-30_final
2022-02-04 08:24:30	ga_ls7e_ard_3-2-1_093088_2022-02-03_final
2022-02-12 09:11:07	ga_ls7e_ard_3-2-1_101083_2022-02-11_final
2022-03-15 09:58:30	ga_ls7e_ard_3-2-1_110070_2022-03-15_final
2022-03-28 09:28:21	ga_ls7e_ard_3-2-1_105075_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